subject:(diffusion MRI)

Vanderbilt University

1. Li, Hua. Towards quantitative measurements of tissue microstructure using temporal diffusion spectroscopy.

Degree: PhD, Physics, 2015, Vanderbilt University

► Diffusion MRI provides a non-invasive means to characterize tissue microstructure at varying length scales. Apparent diffusion coefficients (ADCs) of tissue water may be measured at… (more)

Subjects/Keywords: diffusion; MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, H. (2015). Towards quantitative measurements of tissue microstructure using temporal diffusion spectroscopy. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12743

Chicago Manual of Style (16^th Edition):

Li, Hua. “Towards quantitative measurements of tissue microstructure using temporal diffusion spectroscopy.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/12743.

MLA Handbook (7^th Edition):

Li, Hua. “Towards quantitative measurements of tissue microstructure using temporal diffusion spectroscopy.” 2015. Web. 05 Mar 2021.

Vancouver:

Li H. Towards quantitative measurements of tissue microstructure using temporal diffusion spectroscopy. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/12743.

Council of Science Editors:

Li H. Towards quantitative measurements of tissue microstructure using temporal diffusion spectroscopy. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/12743

Vanderbilt University

2. Parvathaneni, Prasanna. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

URL: http://hdl.handle.net/1803/11091

► Neuroimaging provides an opportunity to gain valuable insight onto the microstructural changes in the brain associated with healthy growth and neurological disorders when conducting longitudinal… (more)

▼ Neuroimaging provides an opportunity to gain valuable insight onto the microstructural changes in the brain associated with healthy growth and neurological disorders when conducting longitudinal or cross sectional studies. However, the data interpretation in this area need to be approached with extreme care as it poses challenges because of group bias and variance arising from various factors. The desire to better understand structural-functional relationship drives the need for robust frameworks to analyze structural and functional data, especially ones that can be generalized to novel types of neuroimaging data. This dissertation develops image analysis strategies that focus on improving statistical power in quantifying brain microarchitecture features for conducting group studies in gray matter. The gray matter cerebral cortex is less than 5 mm thick, yet is key to many brain functions. To overcome the challenges of alignment issues and partial volume effects in low-resolution images like diffusion/functional MRI, the gray matter surface based spatial statistics (GSBSS) approach was developed to perform statistical analysis of multi-modal data using gray matter surfaces. Application of this technique was shown in both diffusion and functional MRI modalities in psychosis population. The main contributions of this dissertation are (1) to show that our GSBSS approach improves the statistical power for performing group studies in neuroimaging compared to that of traditional registration methods, (2) to address source of bias and variance in group studies by correcting for inter-scanner variability effects of diffusion microstructure features and constructing unbiased feature based cortical surface template, (3) to apply deep learning techniques on cortical surfaces for improved sulcal curve labeling on large datasets. Advisors/Committee Members: Adam W. Anderson (committee member), Neil D. Woodward (committee member), Benoit M. Dawant (committee member), Ilwoo Lyu (committee member), Hakmook Kang (committee member), Yuankai Huo (committee member), Bennett A. Landman (Committee Chair).

Subjects/Keywords: Brain; Neuroimaging; MRI; Gray Matter; Diffusion MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Parvathaneni, P. (2019). Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11091

Chicago Manual of Style (16^th Edition):

Parvathaneni, Prasanna. “Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/11091.

MLA Handbook (7^th Edition):

Parvathaneni, Prasanna. “Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.” 2019. Web. 05 Mar 2021.

Vancouver:

Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/11091.

Council of Science Editors:

Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/11091

University of Alberta

3. Baron, Corey A. Diffusion Tensor Imaging at High Magnetic Field.

Degree: PhD, Department of Biomedical Engineering, 2014, University of Alberta

URL: https://era.library.ualberta.ca/files/cth83kz454

► Diffusion magnetic resonance imaging (dMRI) measures the diffusion (i.e. random molecular motion) of water. Since the motion of water is inhibited by cellular membranes, dMRI… (more)

▼ Diffusion magnetic resonance imaging (dMRI) measures the diffusion (i.e. random molecular motion) of water. Since the motion of water is inhibited by cellular membranes, dMRI provides insight into the microstructural characteristics of the tissue. However, distinguishing between small anatomical subdivisions can be difficult due to dMRI methods having an inherently low resolution. Increasing the resolution necessarily reduces the signal-to-noise ratio, and to compensate for this a higher static magnetic field and larger diffusion gradients can be utilized. In addition, there are newly emerging dMRI techniques that have not been successfully implemented in the human brain due to insufficient signal and gradient strengths on clinical MRI systems. However, increasing these parameters introduces new challenges. The goal of this thesis was to address the challenges of performing dMRI with a stronger magnetic field and gradients, and then to use the extra signal for higher resolution and to enable new techniques that require more signal. To do this, a 4.7 T human MRI system with 60 mT/m gradients was utilized, which is a three times stronger field and 50% larger gradients compared to typical clinical scanners. Approximately half of the thesis work involved solving challenges at high field or gradient strengths, while the remainder involved applications enabled by the high strength MRI system. The first challenge investigated was a previously undocumented issue for dMRI introduced by strong gradients, concomitant gradient fields. Errors introduced by these concomitant fields was found to be considerable in certain cases, and techniques to mitigate them were explored. Another challenge involved developing robust methods to perform parallel imaging, which is a technique used to prevent distortions that worsen at higher field strengths. A final challenge investigated was errors introduced by the unwanted signal that stems from cerebrospinal fluid. Traditional approaches to mitigate the error do not translate well to high field, and an alternative method was sought and characterized. A potential application of the high strength MRI system involves the probing of different tissue microstructure length scales. Typical dMRI techniques are only sensitive to length scales longer than typical microstructural dimensions because of a long "diffusion time". However, the newly developed oscillating gradient spin-echo (OGSE) technique is more sensitive to smaller length scales because it can achieve much shorter diffusion times, which may give new insight into healthy development or disease. Accordingly, OGSE was used to investigate the microstructural length scale dependence of dMRI as a function of diffusion direction for the first time in healthy subjects and in patients with stroke. The former subject group was required to better understand the healthy brain and provide a reference point for comparison with disease. The latter cohort of subjects helps to elucidate the underpinnings of why standard dMRI is sensitive to stroke, which…

Subjects/Keywords: diffusion; MRI; high field; DTI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Baron, C. A. (2014). Diffusion Tensor Imaging at High Magnetic Field. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cth83kz454

Chicago Manual of Style (16^th Edition):

Baron, Corey A. “Diffusion Tensor Imaging at High Magnetic Field.” 2014. Doctoral Dissertation, University of Alberta. Accessed March 05, 2021. https://era.library.ualberta.ca/files/cth83kz454.

MLA Handbook (7^th Edition):

Baron, Corey A. “Diffusion Tensor Imaging at High Magnetic Field.” 2014. Web. 05 Mar 2021.

Vancouver:

Baron CA. Diffusion Tensor Imaging at High Magnetic Field. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2021 Mar 05]. Available from: https://era.library.ualberta.ca/files/cth83kz454.

Council of Science Editors:

Baron CA. Diffusion Tensor Imaging at High Magnetic Field. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/cth83kz454

Boston University

4. Eltawell, Hazem I. Correlation time diffusion coefficient age related dependency: from 6 months to 24 years old.

Degree: 2013, Boston University

URL: http://hdl.handle.net/2144/17128

► Diffusion MRI is established as an essential tool for both clinicians as well as biomedical scientists. Its application plays an important role in diagnosis and… (more)

▼ Diffusion MRI is established as an essential tool for both clinicians as well as biomedical scientists. Its application plays an important role in diagnosis and management of acute stroke, tumors, trauma, and infectious disease, among myriad other applications. Furthermore, diffusion studies are crucial for understanding disease processes caused by developmental and neurodegenerative disorders. The latest developments in quantitative diffusion imaging have broadened the potential application of the technique for both clinical and research applications. However, ongoing research is critical in order to further improve the accuracy and reproducibility of quantitative diffusion MRI techniques. Correlation time diffusion (D-CT) is emerging as an alternative technique for obtaining diffusion qMRI data[1][2][3]. Using the D-CT technique, T1 relaxation data is analyzed, using a modified BPP relaxation theory, in order to calculate the correlation times of protons’ stochastic processes and relate these times to solution viscosity in order to calculate proton diffusion coefficients, ADCs. The purpose of our study was to compare age related changes, during childhood and early adulthood, of global brain diffusion coefficients obtained by correlation time technique to global brain diffusion coefficients obtained by a conventional pulsed field gradient technique. In our study, we used the data of 27 subjects (0.5-24 years old), who were scanned with Mixed-TSE and DW-SS-SE-EPI pulse sequences. Subsequently, we processed the resulting directly acquired images to generate T1, T2, PD, ADC maps as well as volumetric data. We used the student t-test and linear regression analysis to compare and interpret our data. Our results show a strong positive correlation between the volumetric data. Good correlation between ADC values was observed, with the widest discrepancy between DCT, DPFG (about 17%) observed in the youngest subjects, and the smallest discrepancy noted in the older subjects.

Subjects/Keywords: Diffusion; MRI; Dependency; Correlation time

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Eltawell, H. I. (2013). Correlation time diffusion coefficient age related dependency: from 6 months to 24 years old. (Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/17128

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Eltawell, Hazem I. “Correlation time diffusion coefficient age related dependency: from 6 months to 24 years old.” 2013. Thesis, Boston University. Accessed March 05, 2021. http://hdl.handle.net/2144/17128.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Eltawell, Hazem I. “Correlation time diffusion coefficient age related dependency: from 6 months to 24 years old.” 2013. Web. 05 Mar 2021.

Vancouver:

Eltawell HI. Correlation time diffusion coefficient age related dependency: from 6 months to 24 years old. [Internet] [Thesis]. Boston University; 2013. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/2144/17128.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eltawell HI. Correlation time diffusion coefficient age related dependency: from 6 months to 24 years old. [Thesis]. Boston University; 2013. Available from: http://hdl.handle.net/2144/17128

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Chicago

5. Gao, Jin. High b-value Diffusion MRI for Characterizing White Matter Damage.

Degree: 2017, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/22044

► Diffusion magnetic resonance imaging has been widely used to study white matter diseases due to the ubiquity and its non-invasive nature. Amyotrophic lateral sclerosis (ALS),… (more)

▼ Diffusion magnetic resonance imaging has been widely used to study white matter diseases due to the ubiquity and its non-invasive nature. Amyotrophic lateral sclerosis (ALS), characterized with white matter track damage, is a progressive motor neuron disease in brain and spinal cord with an unknown etiology. Most of diffusion MRI studies focused on altered water diffusion properties in white mater. Nevertheless, the white matter damage might be reflected by the changes of myelin diffusion behaviors that are highly critical, but rarely studied. This thesis aims to characterize white matter damage in a murine model of ALS by analyzing the diffusion properties of myelin using ultra high b-value diffusion MRI. All MRI measurements were performed using a 9.4 T MRI scanner (Agilent, Santa Clara, CA). Stimulated echo acquisition mode sequence was employed with diffusion gradients applied in parallel and perpendicular to the long axis of spinal cord of symptomatic G93A-SOD1 and wild type animal groups respectively. Fast spin echo sequence was employed for anatomical images (T2 weighted). Three diffusion models, bi-exponential, continuous-time random walk (CTRW) model and bi-component model combining CTRW and mono-exponential models were used to analyze the data. Axonal fiber morphology and integrity of the spinal cords were validated by histological analysis. We found differences of signal intensities at lumbar level between diseased and control animals and diffusion-weighted signal decay varied with the diffusion weighting direction relative to spinal nerve fiber orientation on high b-value diffusion-weighted images. Additionally, we found the bi-component model demonstrated the best fit among the three models. In summary, this work has demonstrated the feasibility of diffusion MRI at high b values to evaluate spinal cord alterations in a symptomatic mouse model of ALS. In addition, high b-value diffusion MRI has potential to evaluate spinal cord alterations in other diseases associated with white matter damage. Advisors/Committee Members: Magin, Richard L. (advisor), Li, Weiguo (committee member), Cai, Kejia (committee member), Magin, Richard L. (chair).

Subjects/Keywords: Diffusion MRI; White Matter Damage

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gao, J. (2017). High b-value Diffusion MRI for Characterizing White Matter Damage. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22044

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gao, Jin. “High b-value Diffusion MRI for Characterizing White Matter Damage.” 2017. Thesis, University of Illinois – Chicago. Accessed March 05, 2021. http://hdl.handle.net/10027/22044.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gao, Jin. “High b-value Diffusion MRI for Characterizing White Matter Damage.” 2017. Web. 05 Mar 2021.

Vancouver:

Gao J. High b-value Diffusion MRI for Characterizing White Matter Damage. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10027/22044.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gao J. High b-value Diffusion MRI for Characterizing White Matter Damage. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22044

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Jalnefjord, Oscar. Intravoxel incoherent motion modeling - Optimization of acquisition, analysis and tumor tissue characterization.

Degree: 2018, University of Gothenburg / Göteborgs Universitet

URL: http://hdl.handle.net/2077/56355

► Intravoxel incoherent motion (IVIM) analysis provides a means to obtain information on diffusion and perfusion from a single MRI sequence. The measurements are completely noninvasive… (more)

▼ Intravoxel incoherent motion (IVIM) analysis provides a means to obtain information on diffusion and perfusion from a single MRI sequence. The measurements are completely noninvasive and the results have been shown to be of interest, for example, in oncological applications. Although the use of IVIM analysis has increased substantially the last decade, choice of acquisition parameters and analysis methods are still open questions. The aim of this thesis was to improve IVIM analysis by optimization of the image acquisition and parameter estimation methods, and to study the ability of IVIM parameters to be used for tumor tissue characterization. With standard model-fitting methods and data quality, IVIM parameter estimation uncertainty is typically high. However, several Bayesian approaches have been shown to improve parameter quality. In Paper I, these Bayesian approaches are compared using simulated data and data from a tumor mouse model. The results emphasize the impact of methodological choices, especially the prior distribution, at typical noise levels. Quick and robust IVIM examinations are important for clinical adoption, but consensus regarding methodology is lacking. To address this issue a framework for protocol optimization is presented in Paper III and a comparison of estimation methods was done in Paper II. To test the optimization framework, a protocol for liver examination was generated and tested on simulated data and data from healthy volunteers resulting in improved IVIM parameter quality. The compared estimation methods were evaluated on simulated data and data from patients with liver metastases with similar results for all methods, thereby making the computationally most effective method preferable. Studies of tumors using quantitative imaging methods such as IVIM often only extract an average parameter value from the entire tumor and may thus miss important information. Paper IV explores the ability of IVIM parameters to identify tumor subregions of functionally different status using clustering methods. The obtained subregions were found to have different proliferative status as derived from histological analysis. The work presented in this thesis has resulted in improved IVIM acquisition and analysis methods. It also shows that IVIM has the potential to provide insight into tumor physiology and be used as a noninvasive imaging biomarker.

Subjects/Keywords: IVIM; MRI; diffusion; perfusion; cancer

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jalnefjord, O. (2018). Intravoxel incoherent motion modeling - Optimization of acquisition, analysis and tumor tissue characterization. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/56355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jalnefjord, Oscar. “Intravoxel incoherent motion modeling - Optimization of acquisition, analysis and tumor tissue characterization.” 2018. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed March 05, 2021. http://hdl.handle.net/2077/56355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jalnefjord, Oscar. “Intravoxel incoherent motion modeling - Optimization of acquisition, analysis and tumor tissue characterization.” 2018. Web. 05 Mar 2021.

Vancouver:

Jalnefjord O. Intravoxel incoherent motion modeling - Optimization of acquisition, analysis and tumor tissue characterization. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/2077/56355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jalnefjord O. Intravoxel incoherent motion modeling - Optimization of acquisition, analysis and tumor tissue characterization. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2018. Available from: http://hdl.handle.net/2077/56355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

7. Maryam, Syeda. Predictive Diagnosis of Alzheimer's Disease using Diffusion MRI.

Degree: 2016, University of Waterloo

URL: http://hdl.handle.net/10012/11070

► Age-related neurodegenerative diseases, including Alzheimer’s Disease (AD), are an increasing cause of concern for the world’s ageing population. The current consensus in the research community… (more)

▼ Age-related neurodegenerative diseases, including Alzheimer’s Disease (AD), are an increasing cause of concern for the world’s ageing population. The current consensus in the research community is that the main setbacks in the treatment of AD include the inability to diagnose it in its early stages and the lack of accurate stratification techniques for the prodromal stages of the disease and normal control (NC) subject groups. Numerous studies show that AD causes damage to the white matter microstructure in the brain. Commonly used techniques for diagnosing this disease include, neuropsychological assessments, genetics, proteomics, and image-based analysis. However, unlike these techniques, recent advances in Diffusion Magnetic Resonance Imaging (dMRI) analysis posits its sensitivity to the microstructural organization of cerebral white matter, and hence its applicability for early diagnosis of AD. Since tissue damage is reflected in the pattern of water diffusion in neural fibre structures, dMRI can be used to track disease-related changes in the brain. Contemporary dMRI approaches are broadly classified as being either region-based or tract-based. This thesis draws on the strengths of both these approaches by proposing an original extension of region-based methods to the simultaneous analysis of multiple brain regions. A predefined set of features is derived from dMRI data and used to compute the probabilistic distances between different brain regions. The resulting statistical associations can be modelled as an undirected and fully-connected graph encoding a unique brain connectivity pattern. Subsequently, the characteristics of this graph are used for the stratification of AD and NC subjects. Although the current work focuses on AD and NC subject populations, the perfect separability achieved between the two groups suggests the suitability of the technique for separating NC, AD, in addition to subjects in the prodromal stage of the disease, i.e., mild cognitive impairment (MCI).

Subjects/Keywords: Alzheimer's Disease; Diffusion MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Maryam, S. (2016). Predictive Diagnosis of Alzheimer's Disease using Diffusion MRI. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11070

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Maryam, Syeda. “Predictive Diagnosis of Alzheimer's Disease using Diffusion MRI.” 2016. Thesis, University of Waterloo. Accessed March 05, 2021. http://hdl.handle.net/10012/11070.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Maryam, Syeda. “Predictive Diagnosis of Alzheimer's Disease using Diffusion MRI.” 2016. Web. 05 Mar 2021.

Vancouver:

Maryam S. Predictive Diagnosis of Alzheimer's Disease using Diffusion MRI. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10012/11070.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maryam S. Predictive Diagnosis of Alzheimer's Disease using Diffusion MRI. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/11070

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Harvard University

8. Sitek, Kevin Richard. Mapping the Human Subcortical Auditory System With MRI.

Degree: PhD, 2019, Harvard University

URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013097

►

The subcortical auditory system comprises multiple neural structures that perform important functions in speech communication, music perception, and general auditory processing. However, investigating the deep,… (more)

▼

The subcortical auditory system comprises multiple neural structures that perform important functions in speech communication, music perception, and general auditory processing. However, investigating the deep, small subcortical auditory structures in humans is challenging with current non-invasive methods such as magnetic resonance imaging, or MRI. One major difficulty is in identifying the subcortical auditory structures in vivo. To address this challenge, collaborators and I created atlases of the human subcortical auditory system using gold-standard histology, post mortem anatomical MRI, and state-of-the-art in vivo functional MRI. We registered each of these atlases to a common MRI reference space to facilitate future research in these regions. Then, with diffusion-weighted MRI tractography both post mortem and in vivo, we estimated the structural connections between these subcortical auditory structures, providing us with a 3-dimensional auditory connectivity map. I next tested the applicability of our reference space atlases by estimating functional and diffusion-weighted connectivity in the freely available Human Connectome Project 7-Tesla MRI data set. I found that resting state functional connectivity was greater between the subcortical auditory regions than to nearby control regions. Likewise, diffusion tractography supported expected connectivity estimates between the subcortical auditory structures. These analyses suggest that our histology, post mortem MRI, and in vivo functional MRI atlases successfully identify the subcortical auditory structures in novel in vivo participants. Finally, we sought to describe the physical characteristics of the subcortical auditory system with quantitative MRI. Using a multi-parametric mapping protocol, we quantified MRI relaxation and proton density values in the auditory structures of five individuals over two sessions each, contributing novel information about the makeup of these regions. In total, my work has used state-of-the-art techniques to identify the human subcortical auditory structures, applied our knowledge to new data, and quantitatively described the magnetic response properties of the subcortical auditory system. By releasing our data and tools publicly, we hope to foster further research into the role of the subcortical auditory structures in human hearing and communication.

Medical Sciences

Advisors/Committee Members: Ghosh, Satrajit S. (advisor), Polimeni, Jon (committee member).

Subjects/Keywords: subcortical auditory; neuroanatomy; atlas; anatomical MRI; diffusion MRI tractography; functional MRI; MRI connectivity; quantitative MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sitek, K. R. (2019). Mapping the Human Subcortical Auditory System With MRI. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013097

Chicago Manual of Style (16^th Edition):

Sitek, Kevin Richard. “Mapping the Human Subcortical Auditory System With MRI.” 2019. Doctoral Dissertation, Harvard University. Accessed March 05, 2021. http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013097.

MLA Handbook (7^th Edition):

Sitek, Kevin Richard. “Mapping the Human Subcortical Auditory System With MRI.” 2019. Web. 05 Mar 2021.

Vancouver:

Sitek KR. Mapping the Human Subcortical Auditory System With MRI. [Internet] [Doctoral dissertation]. Harvard University; 2019. [cited 2021 Mar 05]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013097.

Council of Science Editors:

Sitek KR. Mapping the Human Subcortical Auditory System With MRI. [Doctoral Dissertation]. Harvard University; 2019. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013097

University of Western Ontario

9. Kuehn, Tristan K. A 3D Printed Axon-Mimetic Diffusion MRI Phantom.

Degree: 2020, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/7238

► Diffusion MRI is used to non-invasively characterize the microstructure of the brain. However, the accuracy of the characterization is difficult to verify because no other… (more)

Subjects/Keywords: Diffusion MRI; Diffusion MRI Modeling; Phantoms; Validation; MRI; Neuroscience; Bioimaging and Biomedical Optics

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kuehn, T. K. (2020). A 3D Printed Axon-Mimetic Diffusion MRI Phantom. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/7238

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kuehn, Tristan K. “A 3D Printed Axon-Mimetic Diffusion MRI Phantom.” 2020. Thesis, University of Western Ontario. Accessed March 05, 2021. https://ir.lib.uwo.ca/etd/7238.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kuehn, Tristan K. “A 3D Printed Axon-Mimetic Diffusion MRI Phantom.” 2020. Web. 05 Mar 2021.

Vancouver:

Kuehn TK. A 3D Printed Axon-Mimetic Diffusion MRI Phantom. [Internet] [Thesis]. University of Western Ontario; 2020. [cited 2021 Mar 05]. Available from: https://ir.lib.uwo.ca/etd/7238.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kuehn TK. A 3D Printed Axon-Mimetic Diffusion MRI Phantom. [Thesis]. University of Western Ontario; 2020. Available from: https://ir.lib.uwo.ca/etd/7238

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Ontario Institute of Technology

10. Cervi, Jessica. A numerical study of the effects of inhomogeneous media in diffusion weighted imaging.

Degree: 2015, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/558

► Diffusion Weighted Imaging (DWI) -a common Magnetic Resonance Imaging (MRI) technique - is used to infer material properties of tissues from the average diffusion of… (more)

Subjects/Keywords: Apparent diffusion coefficient; Diffusion MRI; Kurtosis; Mathematical models of diffusion

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cervi, J. (2015). A numerical study of the effects of inhomogeneous media in diffusion weighted imaging. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/558

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cervi, Jessica. “A numerical study of the effects of inhomogeneous media in diffusion weighted imaging.” 2015. Thesis, University of Ontario Institute of Technology. Accessed March 05, 2021. http://hdl.handle.net/10155/558.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cervi, Jessica. “A numerical study of the effects of inhomogeneous media in diffusion weighted imaging.” 2015. Web. 05 Mar 2021.

Vancouver:

Cervi J. A numerical study of the effects of inhomogeneous media in diffusion weighted imaging. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10155/558.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cervi J. A numerical study of the effects of inhomogeneous media in diffusion weighted imaging. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/558

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

11. Yuan, Hongmei. A Search for MRI diffusion coefficient standards.

Degree: School of Chemistry and Materials Science (COS), 2011, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/3723

► Diffusion coefficients (D) can be readily measured by nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI) instruments. Operators of these instruments often utilize… (more)

Subjects/Keywords: Diffusion; Glass fibers; Imaging phantoms; MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yuan, H. (2011). A Search for MRI diffusion coefficient standards. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/3723

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yuan, Hongmei. “A Search for MRI diffusion coefficient standards.” 2011. Thesis, Rochester Institute of Technology. Accessed March 05, 2021. https://scholarworks.rit.edu/theses/3723.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yuan, Hongmei. “A Search for MRI diffusion coefficient standards.” 2011. Web. 05 Mar 2021.

Vancouver:

Yuan H. A Search for MRI diffusion coefficient standards. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2021 Mar 05]. Available from: https://scholarworks.rit.edu/theses/3723.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yuan H. A Search for MRI diffusion coefficient standards. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/3723

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

12. Tuttle, Kevin. Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space.

Degree: MS, School of Mathematical Sciences (COS), 2019, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/10184

► Diffusion Tensor Imaging is a type of Magnetic Resonance Imaging that allows for the examination of brain connectivity and axonal integrity. Diffusion Tensor Images… (more)

Subjects/Keywords: Diffusion tensor; DW-MRI; Image registration

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tuttle, K. (2019). Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10184

Chicago Manual of Style (16^th Edition):

Tuttle, Kevin. “Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed March 05, 2021. https://scholarworks.rit.edu/theses/10184.

MLA Handbook (7^th Edition):

Tuttle, Kevin. “Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space.” 2019. Web. 05 Mar 2021.

Vancouver:

Tuttle K. Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2021 Mar 05]. Available from: https://scholarworks.rit.edu/theses/10184.

Council of Science Editors:

Tuttle K. Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10184

Universiteit Utrecht

13. Schouwenaars, I.T. The added value of Diffusion Weighted MR Imaging for the radiotherapy treatment of brain tumors.

Degree: 2014, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/301210

► The aim of this literature study is to investigate the added value of diffusion weighted MR imaging (DW-MRI) for the radiotherapy treatment of brain tumors.… (more)

Subjects/Keywords: Diffusion Weighted MRI (DWI); radiotherapy; brain tumors

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Schouwenaars, I. T. (2014). The added value of Diffusion Weighted MR Imaging for the radiotherapy treatment of brain tumors. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/301210

Chicago Manual of Style (16^th Edition):

Schouwenaars, I T. “The added value of Diffusion Weighted MR Imaging for the radiotherapy treatment of brain tumors.” 2014. Masters Thesis, Universiteit Utrecht. Accessed March 05, 2021. http://dspace.library.uu.nl:8080/handle/1874/301210.

MLA Handbook (7^th Edition):

Schouwenaars, I T. “The added value of Diffusion Weighted MR Imaging for the radiotherapy treatment of brain tumors.” 2014. Web. 05 Mar 2021.

Vancouver:

Schouwenaars IT. The added value of Diffusion Weighted MR Imaging for the radiotherapy treatment of brain tumors. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Mar 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/301210.

Council of Science Editors:

Schouwenaars IT. The added value of Diffusion Weighted MR Imaging for the radiotherapy treatment of brain tumors. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/301210

Vanderbilt University

14. Schilling, Kurt Gregory. Histological Validation of Diffusion MRI.

Degree: PhD, Biomedical Engineering, 2017, Vanderbilt University

URL: http://hdl.handle.net/1803/15259

► The ability of diffusion magnetic resonance imaging (dMRI) fiber tractography to non-invasively map the three-dimensional (3D) network of the human brain has proven to be… (more)

Subjects/Keywords: Validation; Diffusion MRI; Tractography; Histology; Brain

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Schilling, K. G. (2017). Histological Validation of Diffusion MRI. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15259

Chicago Manual of Style (16^th Edition):

Schilling, Kurt Gregory. “Histological Validation of Diffusion MRI.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/15259.

MLA Handbook (7^th Edition):

Schilling, Kurt Gregory. “Histological Validation of Diffusion MRI.” 2017. Web. 05 Mar 2021.

Vancouver:

Schilling KG. Histological Validation of Diffusion MRI. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/15259.

Council of Science Editors:

Schilling KG. Histological Validation of Diffusion MRI. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/15259

Vanderbilt University

15. By, Samantha. Diffusion Magnetic Resonance Imaging of the Human Spinal Cord in Vivo: Feasibility and Application of Advanced Diffusion Models.

Degree: PhD, Biomedical Engineering, 2017, Vanderbilt University

URL: http://hdl.handle.net/1803/13926

► Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) that is marked by inflammation, demyelination, gliosis and axonal loss. The damage… (more)

Subjects/Keywords: multiple sclerosis; spinal cord; diffusion; MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

By, S. (2017). Diffusion Magnetic Resonance Imaging of the Human Spinal Cord in Vivo: Feasibility and Application of Advanced Diffusion Models. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13926

Chicago Manual of Style (16^th Edition):

By, Samantha. “Diffusion Magnetic Resonance Imaging of the Human Spinal Cord in Vivo: Feasibility and Application of Advanced Diffusion Models.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/13926.

MLA Handbook (7^th Edition):

By, Samantha. “Diffusion Magnetic Resonance Imaging of the Human Spinal Cord in Vivo: Feasibility and Application of Advanced Diffusion Models.” 2017. Web. 05 Mar 2021.

Vancouver:

By S. Diffusion Magnetic Resonance Imaging of the Human Spinal Cord in Vivo: Feasibility and Application of Advanced Diffusion Models. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/13926.

Council of Science Editors:

By S. Diffusion Magnetic Resonance Imaging of the Human Spinal Cord in Vivo: Feasibility and Application of Advanced Diffusion Models. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/13926

University of Illinois – Chicago

16. Zampini, Marco Andrea. 0.5T Benchtop Magnet: Development of a MR Elastography Setup and Tissue Samples Characterization.

Degree: 2018, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/23018

► Magnetic Resonance at low-intensity eld has been employed mainly for NMR spectroscopy even though low-intensity eld MRI scanners can be of small size and their… (more)

Subjects/Keywords: MRI Relaxometry Diffusion Elastography Bench-top

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zampini, M. A. (2018). 0.5T Benchtop Magnet: Development of a MR Elastography Setup and Tissue Samples Characterization. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23018

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zampini, Marco Andrea. “0.5T Benchtop Magnet: Development of a MR Elastography Setup and Tissue Samples Characterization.” 2018. Thesis, University of Illinois – Chicago. Accessed March 05, 2021. http://hdl.handle.net/10027/23018.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zampini, Marco Andrea. “0.5T Benchtop Magnet: Development of a MR Elastography Setup and Tissue Samples Characterization.” 2018. Web. 05 Mar 2021.

Vancouver:

Zampini MA. 0.5T Benchtop Magnet: Development of a MR Elastography Setup and Tissue Samples Characterization. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10027/23018.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zampini MA. 0.5T Benchtop Magnet: Development of a MR Elastography Setup and Tissue Samples Characterization. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/23018

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Manitoba

17. Bergen, Robert. Optimizing and advancing multiparametric magnetic resonance imaging for biologically-guided radiotherapy.

Degree: Physics and Astronomy, 2019, University of Manitoba

URL: http://hdl.handle.net/1993/34447

► Multi-parametric MRI studies of the prostate often include anatomical images, as well as functional images such as perfusion-weighted images (PWI) and diffusion-weighted images (DWI). These… (more)

▼ Multi-parametric MRI studies of the prostate often include anatomical images, as well as functional images such as perfusion-weighted images (PWI) and diffusion-weighted images (DWI). These functional images give insights into tissue micro-environment which helps physicians further differentiate between healthy and cancerous tissue. MRI can also potentially measure tissue hypoxia, the lack of oxygen within the tissue, which can introduce resistance to radiotherapy treatment and negatively affect treatment outcomes. Ideally, these data sets would be used to characterize a dominant prostate lesion, to which a radiation dose could be escalated during radiotherapy. However, incorporating DWI, PWI and oxygenation measurements into treatment planning is not routine, because the imaging requirements for MRI-guided radiotherapy are stricter than diagnostic imaging requirements. For DWI, image distortion may be a significant source of error, and therefore must be minimized. PWI imaging relies heavily on T1 mapping, but conventional T1 mapping methods can be very inaccurate and affect the localization or characterization of the dominant lesion. Finally, oxygenation measurements in the prostate using advanced imaging techniques like quantitative susceptibility mapping (QSM) requires validation. Tissue oxygen level dependent (TOLD) imaging, another method that is sensitive to oxygenation, also requires additional corrections due to its sensitivity to temperature. To improve upon conventional multi-parametric MRI, correction methods were implemented to reduce image distortion in DWI and to reduce uncertainties in T1 mapping for PWI. The correction methods were implemented both in phantom and in vivo and compared to conventional techniques. The feasibility of oxygenation measurements, using both QSM and TOLD, was also tested in phantom and in vivo, and temperature measurements were acquired so that a correction could be applied to the TOLD data. Finally, the optimized and conventional imaging methods were compared in terms of prostate lesion localization and characterization. Simulations were then performed to investigate the effects on a prostate treatment plan. Significant differences were found between the optimized and conventional DWI and PWI imaging techniques, and the feasibility of MR oxygenation measurements was demonstrated. It was shown that the improved multi-parametric MRI acquisitions had significant impacts on lesion localization and characterization, which could potentially have significant effects on treatment planning. Advisors/Committee Members: Ryner, Lawrence (Physics & Astronomy) Essig, Marco (Radiology) (supervisor), Rickey, Dan (Physics & Astronomy) McCurdy, Boyd (Physics & Astronomy) Thomas, Gabriel (Electrical & Computer Engineering) Reinsberg, Stefan (Physics & Astronomy, University of British Columbia) (examiningcommittee).

Subjects/Keywords: MRI; Diffusion; Perfusion; Radiotherapy; Susceptibility mapping

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bergen, R. (2019). Optimizing and advancing multiparametric magnetic resonance imaging for biologically-guided radiotherapy. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34447

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bergen, Robert. “Optimizing and advancing multiparametric magnetic resonance imaging for biologically-guided radiotherapy.” 2019. Thesis, University of Manitoba. Accessed March 05, 2021. http://hdl.handle.net/1993/34447.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bergen, Robert. “Optimizing and advancing multiparametric magnetic resonance imaging for biologically-guided radiotherapy.” 2019. Web. 05 Mar 2021.

Vancouver:

Bergen R. Optimizing and advancing multiparametric magnetic resonance imaging for biologically-guided radiotherapy. [Internet] [Thesis]. University of Manitoba; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1993/34447.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bergen R. Optimizing and advancing multiparametric magnetic resonance imaging for biologically-guided radiotherapy. [Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34447

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

18. Hogenhuis, Kiki (author). Diffusion MRI case study in epilespy: A Hemispheric Regional Based Analysis of Diffusion Tensor Imaging, Tractography and Connectome in patients with Focal and Genetic Generalised Epilepsy.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:00cccde4-30c4-4548-a980-0cbcdfbcc705

►

Background: Imaging in the field of epilepsy has been a lasting challenge. In genetic generalised epilepsy (GGE) patients, conventional neuroimaging methods such as the MRI… (more)

▼

Background: Imaging in the field of epilepsy has been a lasting challenge. In genetic generalised epilepsy (GGE) patients, conventional neuroimaging methods such as the MRI often appear normal and even in focal epilepsy (FE) an obvious structural abnormality is not always visualised. The objective of this exploratory case study is to identify white and grey abnormalities in epilepsy patients based on diffusion weighted imaging in comparison with healthy subjects. Methods: Diffusion tensor imaging (DTI) and diffusion tensor tractography (DTT) at 3 Tesla is performed on 2 genetic generalised epilepsy patients, 1 focal epilepsy patient and 2 healthy subjects. Four DTI metrics (Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD) are compared based on the mean per region of interest between subjects and between hemispheres. A DTT map of the thalamo-cortical radiations is constructed based on a probabilistic tractography (iFOD2) as implemented in MRTrix. Based on this data the structural connectivity matrix is generated. A graph theoretical analysis is performed comparing node degree, global and local efficiency, characteristic path length, (average) clustering coefficient and (average) betweenness centrality. Constructed connectomes are compared for significant different connections between nodes using network based statistics. Results: Decreased FA and MD values are reported in the hippocampus of the FE patient. DTT showed decreased tract density in the thalamo-cortical radiations in one of the GGE patients and the FE patient, together with a decreased mean streamline length compared to the two healthy subjects, which can be interpreted as a reduced structural connectivity. Structural connectivity is decreased in the FE patient compared to the other four subjects based on graph analysis. This is demonstrated by the relatively high average clustering coefficient and characteristic path length, together with a low node degree, high local efficiency and high clustering coefficient in the thalamus, the basal ganglia and the hippocampus. Conclusion: These results are potentially of aid in identification of white and grey matter abnormalities in epilepsy patients. Especially in the FE brain several abnormalities in both DTI, DTT and graph analysis are observed compared to the healthy and GGE brain. However, for the use of DTI, DTT and graph analysis as a possible imaging biomarker, a standard processing pipeline with validated reference values ranges from the healthy population needs to be developed. Also the biological interpretation of changes in network measures needs to be validated.

VBMEG project

Advisors/Committee Members: van der Helm, Frans (mentor), Manoochehri, Mana (graduation committee), Visser, Gerhard (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Epilepsy; Diffusion MRI; Structural connectivity; Tractography

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hogenhuis, K. (. (2020). Diffusion MRI case study in epilespy: A Hemispheric Regional Based Analysis of Diffusion Tensor Imaging, Tractography and Connectome in patients with Focal and Genetic Generalised Epilepsy. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:00cccde4-30c4-4548-a980-0cbcdfbcc705

Chicago Manual of Style (16^th Edition):

Hogenhuis, Kiki (author). “Diffusion MRI case study in epilespy: A Hemispheric Regional Based Analysis of Diffusion Tensor Imaging, Tractography and Connectome in patients with Focal and Genetic Generalised Epilepsy.” 2020. Masters Thesis, Delft University of Technology. Accessed March 05, 2021. http://resolver.tudelft.nl/uuid:00cccde4-30c4-4548-a980-0cbcdfbcc705.

MLA Handbook (7^th Edition):

Hogenhuis, Kiki (author). “Diffusion MRI case study in epilespy: A Hemispheric Regional Based Analysis of Diffusion Tensor Imaging, Tractography and Connectome in patients with Focal and Genetic Generalised Epilepsy.” 2020. Web. 05 Mar 2021.

Vancouver:

Hogenhuis K(. Diffusion MRI case study in epilespy: A Hemispheric Regional Based Analysis of Diffusion Tensor Imaging, Tractography and Connectome in patients with Focal and Genetic Generalised Epilepsy. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 05]. Available from: http://resolver.tudelft.nl/uuid:00cccde4-30c4-4548-a980-0cbcdfbcc705.

Council of Science Editors:

Hogenhuis K(. Diffusion MRI case study in epilespy: A Hemispheric Regional Based Analysis of Diffusion Tensor Imaging, Tractography and Connectome in patients with Focal and Genetic Generalised Epilepsy. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:00cccde4-30c4-4548-a980-0cbcdfbcc705

University of Pennsylvania

19. Bloy, Luke. Development of High Angular Resolution Diffusion Imaging Analysis Paradigms for the Investigation of Neuropathology.

Degree: 2012, University of Pennsylvania

URL: https://repository.upenn.edu/edissertations/493

► Diffusion weighted magnetic resonance imaging (DW-MRI), provides unique insight into the microstructure of neural white matter tissue, allowing researchers to more fully investigate white matter… (more)

Subjects/Keywords: Diffusion MRI; FOD; HARDI; Biomedical; Radiology

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bloy, L. (2012). Development of High Angular Resolution Diffusion Imaging Analysis Paradigms for the Investigation of Neuropathology. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/493

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bloy, Luke. “Development of High Angular Resolution Diffusion Imaging Analysis Paradigms for the Investigation of Neuropathology.” 2012. Thesis, University of Pennsylvania. Accessed March 05, 2021. https://repository.upenn.edu/edissertations/493.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bloy, Luke. “Development of High Angular Resolution Diffusion Imaging Analysis Paradigms for the Investigation of Neuropathology.” 2012. Web. 05 Mar 2021.

Vancouver:

Bloy L. Development of High Angular Resolution Diffusion Imaging Analysis Paradigms for the Investigation of Neuropathology. [Internet] [Thesis]. University of Pennsylvania; 2012. [cited 2021 Mar 05]. Available from: https://repository.upenn.edu/edissertations/493.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bloy L. Development of High Angular Resolution Diffusion Imaging Analysis Paradigms for the Investigation of Neuropathology. [Thesis]. University of Pennsylvania; 2012. Available from: https://repository.upenn.edu/edissertations/493

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

20. Smith, Robert Elton. Toward making diffusion MRI streamlines tractography a robust neuroscientific tool.

Degree: 2013, University of Melbourne

URL: http://hdl.handle.net/11343/38148

► Diffusion Magnetic Resonance Imaging exploits the random, thermally-driven self-diffusion of water molecules to interrogate local tissue microstructure non-invasively. This imaging method is particularly useful for… (more)

▼ Diffusion Magnetic Resonance Imaging exploits the random, thermally-driven self-diffusion of water molecules to interrogate local tissue microstructure non-invasively. This imaging method is particularly useful for studying the brain white matter, where neuronal axons form coherent fibre bundles at a macroscopic scale, providing extensive structural connectivity between spatially distant regions of the nervous system. By assessing the anisotropy of the measured signal using appropriate mathematical models, the trajectories of the underlying bundles may be estimated using a reconstruction process known as tractography. This framework has the potential to provide insight into the complex inter-connected nature of the human brain, as well as in vivo assessment of a number of neurological disorders that involve the disruption of white matter connectivity. Valid scientific interpretation of these reconstructions is however difficult. In cases where manual segmentation is performed to enable reconstruction of specific structures of interest, the results are qualitative only, and prone to subjective user biases. Conversely, the structural connectivity of the entire brain can be estimated by reconstructing plausible white matter connections throughout the entire image volume; these data are however difficult to navigate or draw meaningful interpretations from. Furthermore, the relative coarseness of image measurements and simplicity of tractography reconstruction methods make reconstruction errors and biases highly prevalent. The methods developed during the course of the candidature and presented in this thesis contribute to the technical development of this field, and improve the potential utility of these reconstructions for neuroscientific analysis. Firstly, algorithms are proposed for extracting anatomically relevant bundles of white matter connections from whole-brain tractography reconstructions in a fully automated and data-driven fashion. The intention of these methods is to enable visual assessment of such pathways, or potentially even statistical comparisons of their properties, without the requirement of user intervention for manual delineation of those pathways. The second half of the candidature was devoted to the development of models to improve the biological accuracy of these reconstructions. The first of these models - `Anatomically-Constrained Tractography' - uses prior information regarding the classification of tissues in the brain, and the biological properties of the axon bundles being estimated, to constrain the reconstruction process, reducing the prevalence of known reconstruction errors. The second - `Spherical-deconvolution Informed Filtering of Tractograms' - imposes a mathematical model for mapping a tractography reconstruction back to the measured signal, and provides an algorithm for retrospectively improving the correspondence between the reconstruction and…

Subjects/Keywords: Magnetic Resonance Imaging; diffusion MRI; streamlines tractography

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Smith, R. E. (2013). Toward making diffusion MRI streamlines tractography a robust neuroscientific tool. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/38148

Chicago Manual of Style (16^th Edition):

Smith, Robert Elton. “Toward making diffusion MRI streamlines tractography a robust neuroscientific tool.” 2013. Doctoral Dissertation, University of Melbourne. Accessed March 05, 2021. http://hdl.handle.net/11343/38148.

MLA Handbook (7^th Edition):

Smith, Robert Elton. “Toward making diffusion MRI streamlines tractography a robust neuroscientific tool.” 2013. Web. 05 Mar 2021.

Vancouver:

Smith RE. Toward making diffusion MRI streamlines tractography a robust neuroscientific tool. [Internet] [Doctoral dissertation]. University of Melbourne; 2013. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11343/38148.

Council of Science Editors:

Smith RE. Toward making diffusion MRI streamlines tractography a robust neuroscientific tool. [Doctoral Dissertation]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/38148

University of Sydney

21. Charles, Christopher Ned. Reliability and Uncertainty in Diffusion MRI Modelling .

Degree: 2016, University of Sydney

URL: http://hdl.handle.net/2123/16060

► Current Diffusion MRI studies often utilise more complex models beyond the single exponential decay model used in clinical standards. As this thesis shows, however, two… (more)

Subjects/Keywords: Diffusion; MRI; Regression; Ill-Conditioning; AIC; Prostate

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Charles, C. N. (2016). Reliability and Uncertainty in Diffusion MRI Modelling . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Charles, Christopher Ned. “Reliability and Uncertainty in Diffusion MRI Modelling .” 2016. Thesis, University of Sydney. Accessed March 05, 2021. http://hdl.handle.net/2123/16060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Charles, Christopher Ned. “Reliability and Uncertainty in Diffusion MRI Modelling .” 2016. Web. 05 Mar 2021.

Vancouver:

Charles CN. Reliability and Uncertainty in Diffusion MRI Modelling . [Internet] [Thesis]. University of Sydney; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/2123/16060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Charles CN. Reliability and Uncertainty in Diffusion MRI Modelling . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/16060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

22. Tian, Runfeng (author). Brain Dynamic Information Flow Estimation Based on EEG and Diffusion MRI: A Proof-of-principle Study and Application in Stroke.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:1a44d771-6187-4259-9123-de10c5740e52

►

In the hemiparetic stroke, functional recovery of paretic limb may occur with the reorganization of neural networks in the brain. Electroencephalography (EEG), with an excellent… (more)

Subjects/Keywords: EEG; diffusion MRI; dynamic information flow; VBMEG

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tian, R. (. (2018). Brain Dynamic Information Flow Estimation Based on EEG and Diffusion MRI: A Proof-of-principle Study and Application in Stroke. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1a44d771-6187-4259-9123-de10c5740e52

Chicago Manual of Style (16^th Edition):

Tian, Runfeng (author). “Brain Dynamic Information Flow Estimation Based on EEG and Diffusion MRI: A Proof-of-principle Study and Application in Stroke.” 2018. Masters Thesis, Delft University of Technology. Accessed March 05, 2021. http://resolver.tudelft.nl/uuid:1a44d771-6187-4259-9123-de10c5740e52.

MLA Handbook (7^th Edition):

Tian, Runfeng (author). “Brain Dynamic Information Flow Estimation Based on EEG and Diffusion MRI: A Proof-of-principle Study and Application in Stroke.” 2018. Web. 05 Mar 2021.

Vancouver:

Tian R(. Brain Dynamic Information Flow Estimation Based on EEG and Diffusion MRI: A Proof-of-principle Study and Application in Stroke. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 05]. Available from: http://resolver.tudelft.nl/uuid:1a44d771-6187-4259-9123-de10c5740e52.

Council of Science Editors:

Tian R(. Brain Dynamic Information Flow Estimation Based on EEG and Diffusion MRI: A Proof-of-principle Study and Application in Stroke. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:1a44d771-6187-4259-9123-de10c5740e52

Brno University of Technology

23. Uríča, Jozef. Chyby v MRI metodách měření difúzních koeficientů: Errors in MRI methods for measuring diffusion coefficients.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/5252

► Diploma thesis Errors in MRI methods for measuring diffusion coefficients a study of measurement of diffusion NMR methods, specifies the location, causes, origination diffusion coefficients.… (more)

Subjects/Keywords: NMR; MRI; difúzne meranie; difúzia; DWSE; NMR; MRI; diffusion measurement; diffusion; DWSE

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Uríča, J. (2018). Chyby v MRI metodách měření difúzních koeficientů: Errors in MRI methods for measuring diffusion coefficients. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/5252

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Uríča, Jozef. “Chyby v MRI metodách měření difúzních koeficientů: Errors in MRI methods for measuring diffusion coefficients.” 2018. Thesis, Brno University of Technology. Accessed March 05, 2021. http://hdl.handle.net/11012/5252.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Uríča, Jozef. “Chyby v MRI metodách měření difúzních koeficientů: Errors in MRI methods for measuring diffusion coefficients.” 2018. Web. 05 Mar 2021.

Vancouver:

Uríča J. Chyby v MRI metodách měření difúzních koeficientů: Errors in MRI methods for measuring diffusion coefficients. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11012/5252.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Uríča J. Chyby v MRI metodách měření difúzních koeficientů: Errors in MRI methods for measuring diffusion coefficients. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/5252

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

24. Chu, Shu-Hsien. Approaches to Anatomical and Functional Brain Connectivity Analysis with Applications to Adolescent Major Depressive Disorder.

Degree: PhD, Electrical/Computer Engineering, 2018, University of Minnesota

URL: http://hdl.handle.net/11299/201061

► Magnetic Resonance Imaging (MRI) has been extensively utilized in brain studies. Diffusion MRI (dMRI) measures brain microstructure and functional MRI (fMRI) reveals neural activity in… (more)

▼ Magnetic Resonance Imaging (MRI) has been extensively utilized in brain studies. Diffusion MRI (dMRI) measures brain microstructure and functional MRI (fMRI) reveals neural activity in vivo. Neuroimaging studies can be performed from various spatial perspectives such as voxel, region, connectivity between a pair of regions, and connectome which is a network consisting of brain regions as nodes and connectivity as edges. In a brain, information is processed by the combined interactions of neurons, ensembles of neurons, and collaborating brain regions, which form a special (small-world) topological structure. Network analysis offers tools for characterizing and studying the topological structure of brain networks. In addition to the network analysis established using fMRI or dMRI separately, joint analysis has shown favorable benefits in leveraging the advantages from dMRI and fMRI. However, it is difficult to combine information from dMRI and fMRI and create a joint network. This thesis presents solutions for three problems based on an interdisciplinary framework combining domain knowledge, neuroimaging techniques, signal processing, graph theory, machine learning and statistical analysis. First, a joint model is proposed to create function-specific structural networks, i.e., joint networks, from both dMRI and fMRI simultaneously. Function-specific structural networks inherit the detailed neuron connectome from dMRI and the functional specificity from fMRI, which potentially can improve the statistical power and the limitation of small sample size in clinical applications. Secondly, anatomical features including connectivity and network topological measures established from dMRI data are analyzed using statistical tools, along-track analysis and machine learning techniques to reveal alterations in brain network for adolescents with major depressive disorder (MDD). Last, wavelet-filtered functional connectivity and network topology features are extracted from fMRI data to characterize the correlation of neural activity between brain regions. The functional features are analyzed using statistical tools and false discovery rate control to discover neurological responders to selective serotonin reuptake inhibitors (SSRIs) and neurological correlations with clinical improvement in treating depression. The identified features add new knowledge to the current understanding of the underlying mechanisms of adolescent MDD and the responses to SSRIs and may be further developed and utilized in monitoring disease progression and effectiveness of therapy. Applications in MDD show how network analysis, signal processing and machine learning are utilized to reveal spatial, temporal and frequency information in brain activity, connectivity and network topology.

Subjects/Keywords: Brain Connectivity; Diffusion MRI; Functional MRI; Network Analysis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chu, S. (2018). Approaches to Anatomical and Functional Brain Connectivity Analysis with Applications to Adolescent Major Depressive Disorder. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201061

Chicago Manual of Style (16^th Edition):

Chu, Shu-Hsien. “Approaches to Anatomical and Functional Brain Connectivity Analysis with Applications to Adolescent Major Depressive Disorder.” 2018. Doctoral Dissertation, University of Minnesota. Accessed March 05, 2021. http://hdl.handle.net/11299/201061.

MLA Handbook (7^th Edition):

Chu, Shu-Hsien. “Approaches to Anatomical and Functional Brain Connectivity Analysis with Applications to Adolescent Major Depressive Disorder.” 2018. Web. 05 Mar 2021.

Vancouver:

Chu S. Approaches to Anatomical and Functional Brain Connectivity Analysis with Applications to Adolescent Major Depressive Disorder. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11299/201061.

Council of Science Editors:

Chu S. Approaches to Anatomical and Functional Brain Connectivity Analysis with Applications to Adolescent Major Depressive Disorder. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201061

25. Kenney, Joanne. An investigation of neuroanatomical contributions to cognitive deficits associated with psychotic illness: A 4 year longitudinal follow-up study.

Degree: 2017, National University of Ireland – Galway

URL: http://hdl.handle.net/10379/6326

► Introduction: In general, individuals who experience a first-episode of psychosis (FEP) display deficits on a wide range of neuropsychological tasks compared to psychiatrically healthy individuals… (more)

▼ Introduction: In general, individuals who experience a first-episode of psychosis (FEP) display deficits on a wide range of neuropsychological tasks compared to psychiatrically healthy individuals (Bora et al., 2014). Performance is poorer on tasks such as visual learning, working memory, executive functioning, attention, social cognition and processing speed with verbal learning, in particular, being one of the most consistently reported cognitive deficits in schizophrenia (Mesholam-Gately et al., 2009; Aas et al, 2014). This study aimed to examine the trajectory of cognitive deficits after an initial psychotic episode and to identify neuroanatomical abnormalities that are associated with cognitive domains which exhibit the poorest course over time. Method: Using a cognitive battery specifically designed for researching cognitive impairments in schizophrenia, the MATRICS Consensus Cognitive Battery, this research investigated cognitive deficits at the presentation of a first psychotic episode and four years later. Cognitive profiles of age and gender matched healthy controls were also assessed at the same time points. All participants underwent structural MR scanning at the two time points. Cross-sectional neuroanatomical investigations were conducted with data from the four year time point, which also included a diffusion tensor imaging acquisition. These structural and diffusion MR analyses were conducted to assess whether the presence of neuroanatomical abnormalities was associated with the cognitive domains found to have the most progressive course following a first psychotic episode, namely verbal learning and processing speed. Specifically, (i) the arcuate fasciculus language-related network was investigated in relation to verbal cognition and (ii), due to the global operational nature of processing speed, a specifically chosen selection of global brain estimations were investigated in relation to processing speed deficits. Results: Individuals with psychosis performed significantly more poorly on all cognitive domains compared to psychiatrically healthy controls. Longitudinally, an initial psychotic episode appeared to be associated with an additional cost on verbal learning and two measures of processing speed over four years as these cognitive domains had marked poorer trajectory compared to the remaining cognitive domains (visual learning, working memory, attention and vigilance, reasoning and problem solving and social cognition). The neuroanatomical substrates for normal processing of verbal cognitive skills appeared to be altered in individuals with recent-onset psychosis, involving an aberrant role of right hemisphere fronto-temporal cortical regions. In relation to the processing speed composite score, divergent associations of global brain topology and interhemispheric integrity were found in controls and individuals with psychosis particularly with a visuo-spatial subscale, the symbol coding task, which may be indicative of pathology in the global interconnectedness of the brain in relation to… Advisors/Committee Members: Cannon, Dara, Irish Research Council.

Subjects/Keywords: diffusion MRI; Anatomy; Medicine; Cognition; Psychosis; First episode psychosis; Neuroanatomy; Structural MRI; Diffusion MRI; MATRICS; Consensus cognitive battery

10 more images…

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kenney, J. (2017). An investigation of neuroanatomical contributions to cognitive deficits associated with psychotic illness: A 4 year longitudinal follow-up study. (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/6326

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kenney, Joanne. “An investigation of neuroanatomical contributions to cognitive deficits associated with psychotic illness: A 4 year longitudinal follow-up study.” 2017. Thesis, National University of Ireland – Galway. Accessed March 05, 2021. http://hdl.handle.net/10379/6326.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kenney, Joanne. “An investigation of neuroanatomical contributions to cognitive deficits associated with psychotic illness: A 4 year longitudinal follow-up study.” 2017. Web. 05 Mar 2021.

Vancouver:

Kenney J. An investigation of neuroanatomical contributions to cognitive deficits associated with psychotic illness: A 4 year longitudinal follow-up study. [Internet] [Thesis]. National University of Ireland – Galway; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10379/6326.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kenney J. An investigation of neuroanatomical contributions to cognitive deficits associated with psychotic illness: A 4 year longitudinal follow-up study. [Thesis]. National University of Ireland – Galway; 2017. Available from: http://hdl.handle.net/10379/6326

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Moulin, Kevin. Imagerie de diffusion cardiaque en respiration libre : Free-breathing cardiac diffusion imaging.

Degree: Docteur es, Génie biomédical, 2016, Lyon

URL: http://www.theses.fr/2016LYSE1007

►

L'imagerie par résonance magnétique (IRM) de diffusion est une technique permettant de sensibiliser un signal de résonance magnétique au mouvement brownien des molécules d'eau. Cette… (more)

▼

L'imagerie par résonance magnétique (IRM) de diffusion est une technique permettant de sensibiliser un signal de résonance magnétique au mouvement brownien des molécules d'eau. Cette méthode a été utilisée pour accéder à l'information structurelle des tissus en neurologie et est devenu un outil crucial de prise en charge des patients à la phase aigüe de l'accident vasculaire cérébral pour la détection de la zone d'ischémie cérébrale. Il est pressenti que de disposer de ce type d'imagerie en cardiologie pourrit compléter avantageusement les outils d'IRM cardiaque pour le diagnostic de pathologie cardiovasculaire courantes, à la phase aigüe ou chronique de l'infarctus du myocarde mais aussi pour le suivi de toutes cardiomyopathies. Cependant cette technique, sensible au mouvement des molécules d'eau, est confrontée en cardiologie aux mouvements cardiaques et respiratoires. Les méthodes présentées actuellement dans la littérature pour faire face à ces mouvements nécessitent des temps d'acquisition considérables et donc incompatible avec une application clinique de l'IRM de diffusion en cardiologie. L'objectif de la thèse est de développer l'IRM de diffusion cardiaque compatible avec les contraintes clinique pour en permettre le transfert vers une application en routine clinique. Notre travail s'est tout d'abord concentré sur le développement d'une technique séquence et d'une stratégie d'acquisition en respiration libre permettant une acquisition continue pendant toute la totalité du cycle respiratoire. Cette séquence de diffusion, utilise l'écho navigateur, image 1D fournissant prospectivement l'information de position de l'interface foie/poumon en temps réel, pour adapter en temps réel la position de coupe en fonction de la phase respiratoire, permettant ainsi de compenser le déplacement tête-pied du coeur induit par la respiration. Cette méthode appelé « slice-following » a été validée pour l'imagerie de diffusion cardiaque dans une étude de reproductibilité conduite sur 10 volontaires

Diffusion magnetic resonance imaging is a technic allowing a sensitization of the magnetic resonance signal to Brownian motion of water molecules. This method was used to probe structural information of tissue in neuroimaging and became a tool of paramount importance in the management of patient with acute cerebral vascular accident for the detection of ischemic cerebral zone. The motivation is high to develop diffusion magnetic resonance imaging in cardiology which could complete actual cardiac MR method for the diagnostic of acute infarct or myocarditis. However this technique is very sensitive to motion and face in cardiology to breathing and cardiac motion. Until now, the methods proposed to take care of these motions increased considerably the scan time and are not compatible with clinical constraints. The aim of this thesis is to develop cardiac diffusion magnetic resonance imaging compatible with such constraints which could be used for clinical applications. We proposed a new approach of free-breathing technique allowing…

Advisors/Committee Members: Croisille, Pierre (thesis director), Viallon, Magalie (thesis director).

Subjects/Keywords: Coeur; IRM; Diffusion; Respiration libre; Heart; MRI; Diffusion; Free-breathing; 610.28

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Moulin, K. (2016). Imagerie de diffusion cardiaque en respiration libre : Free-breathing cardiac diffusion imaging. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSE1007

Chicago Manual of Style (16^th Edition):

Moulin, Kevin. “Imagerie de diffusion cardiaque en respiration libre : Free-breathing cardiac diffusion imaging.” 2016. Doctoral Dissertation, Lyon. Accessed March 05, 2021. http://www.theses.fr/2016LYSE1007.

MLA Handbook (7^th Edition):

Moulin, Kevin. “Imagerie de diffusion cardiaque en respiration libre : Free-breathing cardiac diffusion imaging.” 2016. Web. 05 Mar 2021.

Vancouver:

Moulin K. Imagerie de diffusion cardiaque en respiration libre : Free-breathing cardiac diffusion imaging. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2021 Mar 05]. Available from: http://www.theses.fr/2016LYSE1007.

Council of Science Editors:

Moulin K. Imagerie de diffusion cardiaque en respiration libre : Free-breathing cardiac diffusion imaging. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSE1007

University of Illinois – Chicago

27. Sui, Yi. Multi-dimensional Excitation in MRI: New Development and Applications.

Degree: 2015, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/19498

► In magnetic resonance imaging (MRI), multi-dimensional excitation can select signals from a specific spatial region and/or spectral component. The overall goal of this PhD project… (more)

▼ In magnetic resonance imaging (MRI), multi-dimensional excitation can select signals from a specific spatial region and/or spectral component. The overall goal of this PhD project is to further develop MRI multi-dimensional excitation techniques to enable two new applications: (a) phosphorus (31P) imaging of selected metabolites at an ultra-high magnetic field of 9.4 Tesla (T) on human subjects, and (b) high-resolution high-b-value non-Gaussian diffusion imaging at 3 Tesla on tumor patients. Current in vivo 31P imaging techniques, such as magnetic resonance spectroscopy (MRS) and chemical shift imaging (CSI), are time-consuming ( >30 min) and unable to provide sufficient spatial coverage with adequate spatial resolution. We have developed a novel multi-dimensional excitation MRI technique to selectively excite specific phosphorous metabolites of interest. The images from the selected 31P metabolite (e.g., Phosphocreatine) have been acquired on human subjects within a clinically acceptable time (~10 min) and with adequate spatial coverage (e.g., 24×24×18 cm3) by utilizing the UIC’s state-of-the-art 9.4 T MRI scanner. This constitutes the first specific aim of the project. Second, non-Gaussian diffusion imaging, serving as a potentially powerful tool for probing tissue microstructures and micro-environment, is vulnerable to image distortion and low spatial resolution inherent to diffusion-weighted single-shot echo planar imaging (DW-ssEPI) pulse sequences. We have developed a new pulse sequence strategy by utilizing a novel 2D echo planar radiofrequency (EPRF) pulse with a tilted excitation plane. The new technique is able to zoom in the targeted region in vivo (e.g., the brain stem) with reduced field-of-view (FOV) in order to increase the spatial resolution while decreasing image distortion. The high-resolution and distortion-free diffusion images have been acquired from the brain stem of healthy human subjects and demonstrated on a non-Gaussian diffusion model known as the fractional order calculus (FROC) model. Moreover, we have applied the FROC model on three clinical applications. The new FROC parameters has shown clinical significance in differentiating the brain tumor grades in pediatric and adult patients, and in predicting the response of chemotherapy in gastrointestinal stromal tumors (GIST). Advisors/Committee Members: Zhou, X. Joe (advisor), Thulborn, Keith R. (committee member), Magin, Richard L. (committee member), Klatt, Dieter (committee member), Xie, Karen (committee member).

Subjects/Keywords: Phosphorus imaging; Diffusion MRI; 2D RF design; Non-Gaussian diffusion imaging

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sui, Y. (2015). Multi-dimensional Excitation in MRI: New Development and Applications. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19498

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sui, Yi. “Multi-dimensional Excitation in MRI: New Development and Applications.” 2015. Thesis, University of Illinois – Chicago. Accessed March 05, 2021. http://hdl.handle.net/10027/19498.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sui, Yi. “Multi-dimensional Excitation in MRI: New Development and Applications.” 2015. Web. 05 Mar 2021.

Vancouver:

Sui Y. Multi-dimensional Excitation in MRI: New Development and Applications. [Internet] [Thesis]. University of Illinois – Chicago; 2015. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10027/19498.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sui Y. Multi-dimensional Excitation in MRI: New Development and Applications. [Thesis]. University of Illinois – Chicago; 2015. Available from: http://hdl.handle.net/10027/19498

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rice University

28. Perera, Dimuthu. Optimal Parameters to Determine the Apparent Diffusion Coefficient in Diffusion Weighted Imaging via Simulation.

Degree: MS, Natural Sciences, 2016, Rice University

URL: http://hdl.handle.net/1911/95558

► Diffusion weighted (DW) Imaging is a non-invasive MR technique that provides information about the tissue microstructure using the diffusion of water molecules. The diffusion is… (more)

▼ Diffusion weighted (DW) Imaging is a non-invasive MR technique that provides information about the tissue microstructure using the diffusion of water molecules. The diffusion is generally characterized by the apparent diffusion coefficient (ADC) parametric map. The purpose of this study is to investigate in silico how the calculation of ADC is affected by image SNR, b-values, and the true tissue ADC. Also, to provide optimal parameter combination depending on the percentage accuracy and precision for prostate peripheral region cancer application. Moreover, to suggest parameter choices for any type of tissue, while providing the expected accuracy and precision. In this research DW images were generated assuming a mono-exponential signal model at two different b-values and for known true ADC values. Rician noise of different levels was added to the DWI images to adjust the image SNR. Using the two DWI images, ADC was calculated using a mono-exponential model for each set of b-values, SNR, and true ADC. 40,000 ADC data were collected for each parameter setting to determine the mean and the standard-deviation of the calculated ADC, as well as the percentage accuracy and precision with respect to the true ADC. The accuracy was calculated using the difference between known and calculated ADC. The precision was calculated using the standard-deviation of calculated ADC. The optimal parameters for a specific study was determined when both the percentage accuracy and precision were minimized. In our study, we simulated two true ADCs (ADC 0.00102 for tumor and 0.00180 mm2/s for normal prostate peripheral region tissue). Image SNR was varied from 2 to 100 and b-values were varied from 0 to 2000s/mm2. The results show that the percentage accuracy and percentage precision were minimized with image SNR. To increase SNR, 10 signal-averagings (NEX) were used considering the limitation in total scan time. The optimal NEX combination for tumor and normal tissue for prostate peripheral region was 1: 9. Also, the minimum percentage accuracy and percentage precision were obtained when low b-value is 0 and high b-value is 800 mm2/s for normal tissue and 1400 mm2/s for tumor tissue. Results also showed that for tissues with 1 x 10-3 < ADC < 2.1 x 10-3 mm2/s the parameter combination at SNR = 20, b-value pair 0, 800 mm2/s with NEX = 1:9 can calculate ADC with a percentage accuracy of less than 2% and percentage precision of 6-8%. Also, for tissues with 0.6 x 10-3 < ADC < 1.25 x 10-3 mm2/s the parameter combination at SNR = 20, b-value pair 0, 1400 mm2/s with NEX =1:9 can calculate ADC with a percentage accuracy of less than 2% and percentage precision of 6-8%. Advisors/Committee Members: Ma, Jingfei (advisor).

Subjects/Keywords: apparent diffusion coefficient; diffusion weighted; DW MRI; ADC

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Perera, D. (2016). Optimal Parameters to Determine the Apparent Diffusion Coefficient in Diffusion Weighted Imaging via Simulation. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/95558

Chicago Manual of Style (16^th Edition):

Perera, Dimuthu. “Optimal Parameters to Determine the Apparent Diffusion Coefficient in Diffusion Weighted Imaging via Simulation.” 2016. Masters Thesis, Rice University. Accessed March 05, 2021. http://hdl.handle.net/1911/95558.

MLA Handbook (7^th Edition):

Perera, Dimuthu. “Optimal Parameters to Determine the Apparent Diffusion Coefficient in Diffusion Weighted Imaging via Simulation.” 2016. Web. 05 Mar 2021.

Vancouver:

Perera D. Optimal Parameters to Determine the Apparent Diffusion Coefficient in Diffusion Weighted Imaging via Simulation. [Internet] [Masters thesis]. Rice University; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1911/95558.

Council of Science Editors:

Perera D. Optimal Parameters to Determine the Apparent Diffusion Coefficient in Diffusion Weighted Imaging via Simulation. [Masters Thesis]. Rice University; 2016. Available from: http://hdl.handle.net/1911/95558

29. Gallardo Diez, Guillermo Alejandro. Construction et comparaison de parcellisations structurelles cérébrale par imagerie de diffusion : Inferring and comparing structural parcellations of the human brain using diffusion MRI.

Degree: Docteur es, Automatique et traitement du signal et des images, 2018, Université Côte d'Azur (ComUE)

URL: http://www.theses.fr/2018AZUR4233

►

Comprendre l'organisation de la connectivité structurelle du cerveau ainsi que comment celle-ci contraint sa fonctionnalité est une question fondamentale en neuroscience. L'avènement de l'Imagerie par… (more)

▼

Comprendre l'organisation de la connectivité structurelle du cerveau ainsi que comment celle-ci contraint sa fonctionnalité est une question fondamentale en neuroscience. L'avènement de l'Imagerie par Résonance Magnétique de diffusion (IRMd) a permis l'estimation de la connectivité des neurones in vivo. Dans cette thèse, nous profitons de ces avancées pour : étudier l'organisation structurelle du cerveau ; étudier la relation entre la connectivité, l'anatomie et la fonction cérébrale ; identifier les régions corticales correspondantes d'un sujet à un autre ; et inférer la connectivité en présence de pathologie. Cette thèse contient trois contributions majeures. La première est un modèle pour la connectivité axonale et une technique efficace pour diviser le cerveau en régions de connectivité homogène. Cette technique de parcellisation permet de diviser le cerveau tant pour un seul sujet que pour une population. Les parcelles résultantes sont en accord avec les parcellations anatomiques, structurelles et fonctionnelles existant dans la littérature. La seconde contribution de cette thèse est une technique qui permet d'identifier les régions correspondantes d'un sujet à un autre. Cette technique, basée sur le transport optimal, offre une meilleure performance que les techniques courantes. La troisième contribution est une technique de segmentation, dite multi-atlas, pour identifier les faisceaux d'axones de la matière blanche de patients atteints d'une pathologie cérébrale. Comme les techniques existantes, notre approche utilise l'information spatiale provenant d'atlas de sujets sains, mais pondère celle-ci avec l'information d'IRMd du patient. Nous montrons que notre technique obtient de meilleurs résultats que les méthodes non pondérées.

Understanding how brain connectivity is organized, and how this constrains brain functionality is a key question of neuroscience. The advent of Diffusion Magnetic Resonance Imaging (dMRI) permitted the in vivo estimation of brain axonal connectivity. In this thesis, we leverage these advances in order to: study how the brain connectivity is organized; study the relationship between brain connectivity, anatomy, and function; find correspondences between structurally-defined regions of different subjects, and infer connectivity in the presence of a brain’s pathology. We present three major contributions. Our first contribution is a model for the long-range axonal connectivity, and an efficient technique to divide the brain in regions with homogeneous connectivity. Our parceling technique can create both single-subject and groupwise structural parcellations of the brain. The resulting parcels are in agreement with anatomical, structural and functional parcellations extant in the literature. Our second contribution is a method to find correspondence between structural parcellations of different subjects. Based on Optimal Transport, it performs significantly better than the state-of-the-art ones. Our third contribution is a multi-atlas technique to infer the location of white-matter…

Advisors/Committee Members: Deriche, Rachid (thesis director), Wassermann, Demian (thesis director).

Subjects/Keywords: Parcellisations structurelles; Imagerie de diffusion; Structural parcellations; Diffusion MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gallardo Diez, G. A. (2018). Construction et comparaison de parcellisations structurelles cérébrale par imagerie de diffusion : Inferring and comparing structural parcellations of the human brain using diffusion MRI. (Doctoral Dissertation). Université Côte d'Azur (ComUE). Retrieved from http://www.theses.fr/2018AZUR4233

Chicago Manual of Style (16^th Edition):

Gallardo Diez, Guillermo Alejandro. “Construction et comparaison de parcellisations structurelles cérébrale par imagerie de diffusion : Inferring and comparing structural parcellations of the human brain using diffusion MRI.” 2018. Doctoral Dissertation, Université Côte d'Azur (ComUE). Accessed March 05, 2021. http://www.theses.fr/2018AZUR4233.

MLA Handbook (7^th Edition):

Gallardo Diez, Guillermo Alejandro. “Construction et comparaison de parcellisations structurelles cérébrale par imagerie de diffusion : Inferring and comparing structural parcellations of the human brain using diffusion MRI.” 2018. Web. 05 Mar 2021.

Vancouver:

Gallardo Diez GA. Construction et comparaison de parcellisations structurelles cérébrale par imagerie de diffusion : Inferring and comparing structural parcellations of the human brain using diffusion MRI. [Internet] [Doctoral dissertation]. Université Côte d'Azur (ComUE); 2018. [cited 2021 Mar 05]. Available from: http://www.theses.fr/2018AZUR4233.

Council of Science Editors:

Gallardo Diez GA. Construction et comparaison de parcellisations structurelles cérébrale par imagerie de diffusion : Inferring and comparing structural parcellations of the human brain using diffusion MRI. [Doctoral Dissertation]. Université Côte d'Azur (ComUE); 2018. Available from: http://www.theses.fr/2018AZUR4233

University of Southern California

30. Hwang, Darryl Hwa. Diffusion tensor tractography: visualization and quantitation with applications to Alzheimer disease and traumatic brain injury.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/111591/rec/1996

► With the advent of diffusion tensor imaging (DTI) came insight into the organization of the most complex organic computer in existence—the human brain. Diffusion Tensor… (more)

Subjects/Keywords: DTI; DTT; diffusion tensor imaging; diffusion tensor tractography; tractography; MRI

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hwang, D. H. (2012). Diffusion tensor tractography: visualization and quantitation with applications to Alzheimer disease and traumatic brain injury. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/111591/rec/1996

Chicago Manual of Style (16^th Edition):

Hwang, Darryl Hwa. “Diffusion tensor tractography: visualization and quantitation with applications to Alzheimer disease and traumatic brain injury.” 2012. Doctoral Dissertation, University of Southern California. Accessed March 05, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/111591/rec/1996.

MLA Handbook (7^th Edition):

Hwang, Darryl Hwa. “Diffusion tensor tractography: visualization and quantitation with applications to Alzheimer disease and traumatic brain injury.” 2012. Web. 05 Mar 2021.

Vancouver:

Hwang DH. Diffusion tensor tractography: visualization and quantitation with applications to Alzheimer disease and traumatic brain injury. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Mar 05]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/111591/rec/1996.

Council of Science Editors:

Hwang DH. Diffusion tensor tractography: visualization and quantitation with applications to Alzheimer disease and traumatic brain injury. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/111591/rec/1996

		in
And / Or
		in
And / Or
		in
And / Or
		in

Open Access Theses and Dissertations