subject:(diffusion tensor imaging)

University of Illinois – Urbana-Champaign

1. Holtrop, Joseph. Application of diffusion weighted imaging in studying motor control and moving towards higher resolution diffusion imaging.

Degree: MS, 0408, 2012, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/31981

► Diffusion weighted imaging (DWI) is a magnetic resonance imaging technique that is able to give valuable insight into neuronal structure in vivo. By looking at… (more)

Subjects/Keywords: Motor Control; Diffusion Imaging; Diffusion Tensor Imaging

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APA (6^th Edition):

Holtrop, J. (2012). Application of diffusion weighted imaging in studying motor control and moving towards higher resolution diffusion imaging. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31981

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):

Holtrop, Joseph. “Application of diffusion weighted imaging in studying motor control and moving towards higher resolution diffusion imaging.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed January 24, 2021. http://hdl.handle.net/2142/31981.

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

MLA Handbook (7^th Edition):

Holtrop, Joseph. “Application of diffusion weighted imaging in studying motor control and moving towards higher resolution diffusion imaging.” 2012. Web. 24 Jan 2021.

Vancouver:

Holtrop J. Application of diffusion weighted imaging in studying motor control and moving towards higher resolution diffusion imaging. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2142/31981.

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

Council of Science Editors:

Holtrop J. Application of diffusion weighted imaging in studying motor control and moving towards higher resolution diffusion imaging. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31981

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

University of Alberta

2. Liu, Min. Diffusion Tensor Imaging of Epilepsy.

Degree: PhD, Department of Biomedical Engineering, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/5138jd99j

► Temporal lobe epilepsy (TLE) and idiopathic generalized epilepsy (IGE) are two common epilepsy syndromes. TLE is a type of focal epilepsy. It is frequently associated… (more)

▼ Temporal lobe epilepsy (TLE) and idiopathic generalized epilepsy (IGE) are two common epilepsy syndromes. TLE is a type of focal epilepsy. It is frequently associated with mesial temporal sclerosis (MTS), a condition that is also medically intractable. Although TLE is characterized by a focal lesion, widespread gray matter (GM) and white matter (WM) abnormalities have been observed in patients. These reports suggest that TLE is a network disorder. IGE is characterized by bilateral epileptic discharges prominently in the frontal lobe. Magnetic resonance images (MRI) of patients suffering from IGE appear normal. Diffusion tensor imaging (DTI) is sensitive to the WM microstructure in the brain. Tensor based tractography can reliably reconstruct large WM tracts in vivo. The integrity of WM tracts can be inferred through quantitative measurements performed on these reconstructed images. The research in this thesis attempts to track the acute stage of Wallerian degeneration after injury using DTI. The concomitant reduction of parallel and perpendicular diffusivities 1-2 days after injury may reflect beading and swelling of axolemma or other confounding physiological processes. DTI was used to probe WM abnormalities in subsyndromes of TLE. Patients with TLE and MTS were found to have more extensive WM abnormalities than TLE without MTS. The affected area extends beyond limbic WM to multiple extratemporal locations. Graph theoretical analysis provided further insight into the topological organization of the TLE brain network. Both global and local communication efficiency were impaired and the pivotal hubs were altered in TLE. It is unknown whether these white matter changes are progressive over time. A longitudinal study of TLE patients with and without surgery over a mean of six and a half years revealed Wallerian degeneration in the ipsilateral temporal WM but not in the contralateral side in the surgical patients. No progressive change was found in the non-surgical patients other than normal aging. Finally, two clinically similar subsyndromes of IGE, i.e. juvenile myoclonic epilepsy and IGE with generalized tonic-clonic seizures only, were demonstrated to have distinct patterns of GM and WM abnormalities, indicating that those subsyndromes of IGE are the result of different underlying disease mechanisms. Overall, quantitative DTI has revealed structural brain differences in epilepsy that are not visible on standard MRI.

Subjects/Keywords: diffusion tensor imaging; epilepsy

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APA (6^th Edition):

Liu, M. (2013). Diffusion Tensor Imaging of Epilepsy. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/5138jd99j

Chicago Manual of Style (16^th Edition):

Liu, Min. “Diffusion Tensor Imaging of Epilepsy.” 2013. Doctoral Dissertation, University of Alberta. Accessed January 24, 2021. https://era.library.ualberta.ca/files/5138jd99j.

MLA Handbook (7^th Edition):

Liu, Min. “Diffusion Tensor Imaging of Epilepsy.” 2013. Web. 24 Jan 2021.

Vancouver:

Liu M. Diffusion Tensor Imaging of Epilepsy. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2021 Jan 24]. Available from: https://era.library.ualberta.ca/files/5138jd99j.

Council of Science Editors:

Liu M. Diffusion Tensor Imaging of Epilepsy. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/5138jd99j

University of Southern California

3. 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

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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 January 24, 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. 24 Jan 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 Jan 24]. 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

Delft University of Technology

4. Versteeg, Edwin (author). Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a

► Stroke is one of the leading causes of both death and disability in the world. Consequently, the processes underlying motor recovery are a hot research… (more)

▼ Stroke is one of the leading causes of both death and disability in the world. Consequently, the processes underlying motor recovery are a hot research topic. Electroencephalography (EEG) and diffusion weighted magnetic resonance imaging (dMRI) are two modalities that can be used to find functional and structural predictors for this motor recovery, respectively. Specifically, EEG measures the sources of activity (dipoles) in the brain while dMRI provides estimates of the properties of white matter (WM) tracts such as the fiber orientation. The estimated fiber orientations can be used to reconstruct WM connections in the brain by performing fiber tractography. In this thesis, we aim to introduce a framework for model selection and probabilistic tractography with parsimonious model selection. Practically, we use a range of multi-tensor models to cope with regions with multiple fiber populations. Furthermore, our probabilistic tractography uses the Cram\'er-Rao lower bound to capture the uncertainty in the fiber orientations. We mitigate the effect of overfitting by using a model selection method that incorporates the ICOMP-TKLD criterion to determine the most appropriate tensor model in each voxel. Ultimately, this framework can be applied to data from stroke patients and combined with functional regions obtained from EEG. We assessed the performance of the model selection method by investigating the influence of b-value and noise on the ability to detect crossing fibers in the fibercup phantom and human data. In the phantom, our model selection reconstructed all the crossings for the b-value combination of 1500 and \SI{2000}{\s\per\mm\squared} and at a signal-to-noise-ratio (SNR) comparable to clinical acquisitions. Moreover, our model selection method was able to identify the crossing of the corpus callosum and corticospinal tract in the human data. A range of step sizes and curvature thresholds was used to investigate the sensitivity of our tractography to its input parameters. In general, a smaller step size and lower curvature thresholds resulted in more deterministic behavior, while a larger step sizes and higher curvature thresholds led to more probabilistic behavior and deeper propagation into the gray matter in human data. We compared the performance of our framework and the open source diffusion MRI toolkit Camino on the fibercup phantom and healthy control data. In this comparison, our framework performed better in curved bundles and reconstructed more lateral projections of the corpus callosum. Lastly, we explored the subdivision of the brain into modules for stroke patients and healthy controls, by combining our framework with sources obtained from EEG. Fewer modules were found in the patient group, which might be attributed to a change in structural connections after stroke. Altogether, we have shown that our framework was able to select the appropriate diffusion models in crossing fiber regions and track across these crossings both in a phantom and… Advisors/Committee Members: Vos, Frans (mentor), Filatova, Lena (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: Magnetic Resonance Imaging; Diffusion tensor; Tractography

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APA (6^th Edition):

Versteeg, E. (. (2017). Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a

Chicago Manual of Style (16^th Edition):

Versteeg, Edwin (author). “Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients.” 2017. Masters Thesis, Delft University of Technology. Accessed January 24, 2021. http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a.

MLA Handbook (7^th Edition):

Versteeg, Edwin (author). “Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients.” 2017. Web. 24 Jan 2021.

Vancouver:

Versteeg E(. Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 24]. Available from: http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a.

Council of Science Editors:

Versteeg E(. Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:1d7390d0-005f-4ee1-bb95-cb4c6715d29a

University of Arizona

5. Dailey, Natalie S. Neurological Models of Dyslexia .

Degree: 2016, University of Arizona

URL: http://hdl.handle.net/10150/622935

► The reading network is only partially understood and even less is known regarding how the network functions when reading is impaired. Dyslexia is characterized by… (more)

Subjects/Keywords: Dyslexia; Reading network; Diffusion tensor imaging (DTI)

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APA (6^th Edition):

Dailey, N. S. (2016). Neurological Models of Dyslexia . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/622935

Chicago Manual of Style (16^th Edition):

Dailey, Natalie S. “Neurological Models of Dyslexia .” 2016. Doctoral Dissertation, University of Arizona. Accessed January 24, 2021. http://hdl.handle.net/10150/622935.

MLA Handbook (7^th Edition):

Dailey, Natalie S. “Neurological Models of Dyslexia .” 2016. Web. 24 Jan 2021.

Vancouver:

Dailey NS. Neurological Models of Dyslexia . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10150/622935.

Council of Science Editors:

Dailey NS. Neurological Models of Dyslexia . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/622935

University of Gothenburg / Göteborgs Universitet

6. Simrén, Yvonne. New perspectives on imaging of urinary tract infections in infants.

Degree: 2020, University of Gothenburg / Göteborgs Universitet

URL: http://hdl.handle.net/2077/65139

► Background: Urinary tract infection (UTI) is a common disease in infants that may lead to renal damage with an increased risk of long term complications.… (more)

▼ Background: Urinary tract infection (UTI) is a common disease in infants that may lead to renal damage with an increased risk of long term complications. The diagnostic imaging aims to identify risk factors as underlying urinary tract abnormalities and renal involvement of the infection for prevention of long term adverse outcome. There is a need for alternative methods to the ones presently used for investigation and follow-up of this patient group without the use of invasive procedures, contrast agents or ionizing radiation. The aim of this thesis was to evaluate the potential of ultrasound (US), diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) in the initial evaluation of the urinary tract in infants with their first UTI. Methods: Infants with their first symptomatic UTI were included in four prospective studies. The infants were examined with US, magnetic resonance imaging (MRI) including DWI and DTI, and 99mTc-dimercaptosuccinic acid (DMSA) scintigraphy during the acute phase of the infection. Inflammatory parameters, C-reactive protein and body temperature, were registered. Follow-up examinations included US after 1 month and scintigraphy after one year. Results: Renal size measured at early US determined renal swelling in infants with a UTI. The renal swelling correlated with inflammatory parameters and was associated with renal damage at acute and follow-up DMSA scintigraphy. There was an agreement between DWI and DMSA scintigraphy in the detection of pyelonephritis. With the use of DTI, differences were found in quantitative and qualitative parameters in lesions compared to normal tissue and further lesion characterization patterns were recognised. Conclusion: The results show that US, DWI and DTI are valuable non-invasive, nonradiating tools in the initial evaluation of infants with their first UTI. Renal length US measurements adds value to the early US examination by helping to identify patients at risk for renal damage even though it cannot replace DMSA scintigraphy. DWI and DTI have the potential to be advantageous alternatives to DMSA scintigraphy. However, studies of larger cohorts are needed to verify the results.

Subjects/Keywords: Urinary tract infection; Ultrasound; Diffusion weighted imaging; Diffusion tensor imaging

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APA (6^th Edition):

Simrén, Y. (2020). New perspectives on imaging of urinary tract infections in infants. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/65139

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):

Simrén, Yvonne. “New perspectives on imaging of urinary tract infections in infants.” 2020. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed January 24, 2021. http://hdl.handle.net/2077/65139.

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

MLA Handbook (7^th Edition):

Simrén, Yvonne. “New perspectives on imaging of urinary tract infections in infants.” 2020. Web. 24 Jan 2021.

Vancouver:

Simrén Y. New perspectives on imaging of urinary tract infections in infants. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2077/65139.

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

Council of Science Editors:

Simrén Y. New perspectives on imaging of urinary tract infections in infants. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2020. Available from: http://hdl.handle.net/2077/65139

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

7. JOYCE, EIMEAR ANN. Diffusion Weighted and Diffusion Tensor MRI-derived Apparent Diffusion Coefficient and Fractional Anisotropy Values as Biomarkers for Treatment Response in Breast Cancer.

Degree: School of Medicine. Discipline of Clinical Medicine, 2020, Trinity College Dublin

URL: http://hdl.handle.net/2262/93218

► Background With increasing numbers of patients receiving neoadjuvant chemotherapy (NACT) for breast cancer and with multiple emerging drug agents, a reliable indicator of treatment response… (more)

▼ Background With increasing numbers of patients receiving neoadjuvant chemotherapy (NACT) for breast cancer and with multiple emerging drug agents, a reliable indicator of treatment response early in the course of chemotherapy is vital to facilitate tailored treatment for individual patients. Determination of response is unreliable with clinical assessment, and conventional imaging techniques such as ultrasonography and mammography are of limited use as they primarily detect changes in tumour size which may not become evident for several weeks after the initiation of chemotherapy. Functional MRI (including diffusion imaging) provides an opportunity to detect alterations in the cellular environment early in the course of chemotherapy. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values are quantitative parameters derived from diffusion MRI. Purpose To evaluate if changes in ADC and FA values can predict early response in patients receiving NACT for breast cancer. Methods 20 consecutive patients with invasive breast carcinoma underwent 3.0 Tesla MRI at 4 time-points: pre-treatment (TP0) and following the first (TP1), second (TP2) and final cycles of NACT. ADC and FA maps were generated for each patient at each time-point. Baseline and sequential data in responder and non-responder groups were compared toassess the potential of ADC and FA in predicting tumour response, as determined by Miller Payne grading of the surgical specimen. Results Tumour ADC in responders significantly increased at TP1 (p<0.001) and TP2 (p<0.001) over baseline, while a significant increase in tumour FA of responders was seen at TP2 (p=0.005) only. No statistical change occurred in tumour ADC or FA values in the non-responder group. The percentage increase in mean tumour ADC was significantly higher in the responder group compared to the non-responder group after the first and second cycles of chemotherapy (p<0.001). The optimal time point to discriminate responders from non-responders was after the first cycle of chemotherapy with a percentage increase cut off in tumour ADC values of 7.7%. Despite tumour FA significantly increasing in the responder group from TP0 to TP2, no significant percentage change in FA values was observed between responders and non-responders. Conclusion Changes in ADC values early in the course of treatment are useful for predicting response in patients receiving NACT for breast cancer. Although tumour FA significantly increased in the responder group after the second cycle of chemotherapy, FA values did not demonstrate efficacy in the early differentiation of responders from non-responders. Advisors/Committee Members: Meaney, James.

Subjects/Keywords: Diffusion tensor imaging; Diffusion weighted imaging; Fractional anisotropy; Apparent diffusion coefficient; Breast cancer; Neoadjuvant chemotherapy

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APA (6^th Edition):

JOYCE, E. A. (2020). Diffusion Weighted and Diffusion Tensor MRI-derived Apparent Diffusion Coefficient and Fractional Anisotropy Values as Biomarkers for Treatment Response in Breast Cancer. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/93218

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):

JOYCE, EIMEAR ANN. “Diffusion Weighted and Diffusion Tensor MRI-derived Apparent Diffusion Coefficient and Fractional Anisotropy Values as Biomarkers for Treatment Response in Breast Cancer.” 2020. Thesis, Trinity College Dublin. Accessed January 24, 2021. http://hdl.handle.net/2262/93218.

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

MLA Handbook (7^th Edition):

JOYCE, EIMEAR ANN. “Diffusion Weighted and Diffusion Tensor MRI-derived Apparent Diffusion Coefficient and Fractional Anisotropy Values as Biomarkers for Treatment Response in Breast Cancer.” 2020. Web. 24 Jan 2021.

Vancouver:

JOYCE EA. Diffusion Weighted and Diffusion Tensor MRI-derived Apparent Diffusion Coefficient and Fractional Anisotropy Values as Biomarkers for Treatment Response in Breast Cancer. [Internet] [Thesis]. Trinity College Dublin; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2262/93218.

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

Council of Science Editors:

JOYCE EA. Diffusion Weighted and Diffusion Tensor MRI-derived Apparent Diffusion Coefficient and Fractional Anisotropy Values as Biomarkers for Treatment Response in Breast Cancer. [Thesis]. Trinity College Dublin; 2020. Available from: http://hdl.handle.net/2262/93218

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

Universidade Nova

8. Mesquita, Nuno Maria Sampaio. Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX.

Degree: 2015, Universidade Nova

URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14098

► Diffusion Kurtosis Imaging (DKI) is a fairly new magnetic resonance imag-ing (MRI) technique that tackles the non-gaussian motion of water in biological tissues by taking… (more)

Subjects/Keywords: Magnetic resonance imaging; Diffusion kurtosis imaging; Diffusion tensor imaging; OsiriX; Heuristic constrained linear least squares

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APA (6^th Edition):

Mesquita, N. M. S. (2015). Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14098

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):

Mesquita, Nuno Maria Sampaio. “Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX.” 2015. Thesis, Universidade Nova. Accessed January 24, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14098.

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

MLA Handbook (7^th Edition):

Mesquita, Nuno Maria Sampaio. “Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX.” 2015. Web. 24 Jan 2021.

Vancouver:

Mesquita NMS. Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX. [Internet] [Thesis]. Universidade Nova; 2015. [cited 2021 Jan 24]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14098.

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

Council of Science Editors:

Mesquita NMS. Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX. [Thesis]. Universidade Nova; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14098

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

Boston University

9. Connerney, Michael. 3D reconstruction of motor pathways from tract tracing rhesus monkey.

Degree: MS, Medical Sciences, 2014, Boston University

URL: http://hdl.handle.net/2144/15050

► Magnetic resonance imaging (MRI) has transformed the world of non-invasive imaging for diagnostic purposes. Modern techniques such as diffusion weighted imaging (DWI), diffusion tensor imaging… (more)

Subjects/Keywords: Neurosciences; BDA; Diffusion spectrum imaging; Diffusion tensor imaging; Histological reconstruction; Magnetic resonance imaging; Tract tracing

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APA (6^th Edition):

Connerney, M. (2014). 3D reconstruction of motor pathways from tract tracing rhesus monkey. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/15050

Chicago Manual of Style (16^th Edition):

Connerney, Michael. “3D reconstruction of motor pathways from tract tracing rhesus monkey.” 2014. Masters Thesis, Boston University. Accessed January 24, 2021. http://hdl.handle.net/2144/15050.

MLA Handbook (7^th Edition):

Connerney, Michael. “3D reconstruction of motor pathways from tract tracing rhesus monkey.” 2014. Web. 24 Jan 2021.

Vancouver:

Connerney M. 3D reconstruction of motor pathways from tract tracing rhesus monkey. [Internet] [Masters thesis]. Boston University; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2144/15050.

Council of Science Editors:

Connerney M. 3D reconstruction of motor pathways from tract tracing rhesus monkey. [Masters Thesis]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15050

University of Arizona

10. Umapathy, Lavanya. Assessment of White Matter Integrity in Bonnet Macaque Monkeys using Diffusion-weighted Magnetic Resonance Imaging .

Degree: 2016, University of Arizona

URL: http://hdl.handle.net/10150/622837

► Diffusion-weighted magnetic resonance imaging (dMRI) has been used to non-invasively investigate the integrity of white matter and the connectivity of the brain. In this work,… (more)

Subjects/Keywords: Diffusion Tensor Imaging; Diffusion-weighted imaging; Magnetic Resonance Imaging; Tract integrity assessment; Uncinate fasciculus; Aging

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APA (6^th Edition):

Umapathy, L. (2016). Assessment of White Matter Integrity in Bonnet Macaque Monkeys using Diffusion-weighted Magnetic Resonance Imaging . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/622837

Chicago Manual of Style (16^th Edition):

Umapathy, Lavanya. “Assessment of White Matter Integrity in Bonnet Macaque Monkeys using Diffusion-weighted Magnetic Resonance Imaging .” 2016. Masters Thesis, University of Arizona. Accessed January 24, 2021. http://hdl.handle.net/10150/622837.

MLA Handbook (7^th Edition):

Umapathy, Lavanya. “Assessment of White Matter Integrity in Bonnet Macaque Monkeys using Diffusion-weighted Magnetic Resonance Imaging .” 2016. Web. 24 Jan 2021.

Vancouver:

Umapathy L. Assessment of White Matter Integrity in Bonnet Macaque Monkeys using Diffusion-weighted Magnetic Resonance Imaging . [Internet] [Masters thesis]. University of Arizona; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10150/622837.

Council of Science Editors:

Umapathy L. Assessment of White Matter Integrity in Bonnet Macaque Monkeys using Diffusion-weighted Magnetic Resonance Imaging . [Masters Thesis]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/622837

University of Alberta

11. McCourt, Rebecca C. Corticospinal Tract Integrity in Acute Intracerebral Hemorrhage.

Degree: MS, Centre for Neuroscience, 2016, University of Alberta

URL: https://era.library.ualberta.ca/files/cht24wj640

► Background: Intracerebral Hemorrhage (ICH) is associated with high morbidity and patients commonly suffer motor dysfunction. ICH volume is a significant predictor of outcome, and perihematoma… (more)

Subjects/Keywords: Stroke; Intracerebral Hemorrhage; Magnetic Resonance Imaging; Diffusion Tensor Imaging; Corticospinal Tract

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APA (6^th Edition):

McCourt, R. C. (2016). Corticospinal Tract Integrity in Acute Intracerebral Hemorrhage. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cht24wj640

Chicago Manual of Style (16^th Edition):

McCourt, Rebecca C. “Corticospinal Tract Integrity in Acute Intracerebral Hemorrhage.” 2016. Masters Thesis, University of Alberta. Accessed January 24, 2021. https://era.library.ualberta.ca/files/cht24wj640.

MLA Handbook (7^th Edition):

McCourt, Rebecca C. “Corticospinal Tract Integrity in Acute Intracerebral Hemorrhage.” 2016. Web. 24 Jan 2021.

Vancouver:

McCourt RC. Corticospinal Tract Integrity in Acute Intracerebral Hemorrhage. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2021 Jan 24]. Available from: https://era.library.ualberta.ca/files/cht24wj640.

Council of Science Editors:

McCourt RC. Corticospinal Tract Integrity in Acute Intracerebral Hemorrhage. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cht24wj640

University of Texas Southwestern Medical Center

12. Krishnan, Kamini. Longitudinal Changes in Resting-State Connectivity after Traumatic Axonal Injury.

Degree: 2014, University of Texas Southwestern Medical Center

URL: http://hdl.handle.net/2152.5/3594

► Little is known about neural network connectivity immediately after a traumatic axonal injury (TAI). This is the first longitudinal study in TAI to examine functional… (more)

Subjects/Keywords: Brain Injuries; Diffuse Axonal Injury; Diffusion Tensor Imaging; Magnetic Resonance Imaging

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

APA (6^th Edition):

Krishnan, K. (2014). Longitudinal Changes in Resting-State Connectivity after Traumatic Axonal Injury. (Thesis). University of Texas Southwestern Medical Center. Retrieved from http://hdl.handle.net/2152.5/3594

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):

Krishnan, Kamini. “Longitudinal Changes in Resting-State Connectivity after Traumatic Axonal Injury.” 2014. Thesis, University of Texas Southwestern Medical Center. Accessed January 24, 2021. http://hdl.handle.net/2152.5/3594.

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

MLA Handbook (7^th Edition):

Krishnan, Kamini. “Longitudinal Changes in Resting-State Connectivity after Traumatic Axonal Injury.” 2014. Web. 24 Jan 2021.

Vancouver:

Krishnan K. Longitudinal Changes in Resting-State Connectivity after Traumatic Axonal Injury. [Internet] [Thesis]. University of Texas Southwestern Medical Center; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152.5/3594.

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

Council of Science Editors:

Krishnan K. Longitudinal Changes in Resting-State Connectivity after Traumatic Axonal Injury. [Thesis]. University of Texas Southwestern Medical Center; 2014. Available from: http://hdl.handle.net/2152.5/3594

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

University of Victoria

13. Mayo, Chantel Dana. An investigation of microstructural white matter changes in Alzheimer’s disease and healthy aging using diffusion tensor imaging.

Degree: Department of Psychology, 2016, University of Victoria

URL: http://hdl.handle.net/1828/7393

► Background: Given that brain pathology precedes clinical symptoms in Alzheimer’s disease (AD), identifying pre-symptomatic biomarkers is critical in order to implement symptom-delaying strategies as early… (more)

▼ Background: Given that brain pathology precedes clinical symptoms in Alzheimer’s disease (AD), identifying pre-symptomatic biomarkers is critical in order to implement symptom-delaying strategies as early as possible. Magnetic resonance imaging (MRI) is an ideal method for detecting early brain changes in Alzheimer's disease, as it is non-invasive, easily repeatable, and widely available. To date, MRI biomarker research has largely focused on neuronal loss in grey matter, but there is a lack of research on white matter and its relationship with cognitive performance. Diffusion tensor imaging (DTI) is a MRI-based technique that is particularly sensitive to microstructural white matter characteristics, making it an ideal method to study white matter changes. Methods: Longitudinal DTI and clinical data from the Alzheimer’s Disease Neuroimaging Initiative 2 database were used to examine the 1) within-group microstructural white matter changes in individuals with AD and healthy aging controls at baseline and year one; 2) the between-group microstructural differences in individuals with AD and controls at both time points; and 3) the relationship between white matter and cognitive performance at both time points. Results: 1) Within-group: Tract-based Spatial Statistics reveal that individuals with AD have reduced fractional anisotropy (FA) and increased mean diffusivity (MD) in the corpus callosum; internal and external capsule; corona radiata; posterior thalamic radiations; superior and inferior longitudinal fasciculus; fronto-occipital fasciculus; cingulate gyri; fornix; uncinate fasciculus; tapetum; medial lemniscus; cerebellar and cerebral peduncle; and hippocampal cingulum at year one compared to baseline. Controls also had reduced FA and increased MD at year one compared to baseline, but such changes were less extensive and did not include the hippocampal cingulum. 2) Between-group: Relative to controls, individuals with AD had lower FA and higher MD in the corpus callosum, internal and external capsule; corona radiata; posterior thalamic radiation; superior and inferior longitudinal fasciculus and fronto-occipital fasciculus; cingulate gyri; fornix; uncinate fasciculus; tapetum and hippocampal cingulum. 3) There was a positive relationship between FA and an ADNI- derived memory composite score in individuals with AD. Conclusion: The results revealed that DTI holds potential as an AD biomarker given its sensitivity to detect microstructural white matter characteristics. Longitudinal tracking of brain imaging and AD clinical signs in large cohorts are necessary to further evaluate potential clinical utility. Advisors/Committee Members: Gawryluk, Jodie R. (supervisor).

Subjects/Keywords: Alzheimer's disease; Diffusion tensor imaging; Magnetic resonance imaging; White matter; Aging

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APA (6^th Edition):

Mayo, C. D. (2016). An investigation of microstructural white matter changes in Alzheimer’s disease and healthy aging using diffusion tensor imaging. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7393

Chicago Manual of Style (16^th Edition):

Mayo, Chantel Dana. “An investigation of microstructural white matter changes in Alzheimer’s disease and healthy aging using diffusion tensor imaging.” 2016. Masters Thesis, University of Victoria. Accessed January 24, 2021. http://hdl.handle.net/1828/7393.

MLA Handbook (7^th Edition):

Mayo, Chantel Dana. “An investigation of microstructural white matter changes in Alzheimer’s disease and healthy aging using diffusion tensor imaging.” 2016. Web. 24 Jan 2021.

Vancouver:

Mayo CD. An investigation of microstructural white matter changes in Alzheimer’s disease and healthy aging using diffusion tensor imaging. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1828/7393.

Council of Science Editors:

Mayo CD. An investigation of microstructural white matter changes in Alzheimer’s disease and healthy aging using diffusion tensor imaging. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7393

University of Illinois – Urbana-Champaign

14. Gharibans, Armen A. Diffusion Tensor Imaging and Quantitative Tractography of Skeletal Muscle for Microstructural Tissue Characterization.

Degree: MS, 0133, 2011, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/24477

► This thesis aims to investigate the use of magnetic resonance diffusion tensor imaging (DTI) as a non-invasive tool to study the structure and organization of… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Diffusion Tensor Imaging; Tractography; Skeletal Muscle

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

APA (6^th Edition):

Gharibans, A. A. (2011). Diffusion Tensor Imaging and Quantitative Tractography of Skeletal Muscle for Microstructural Tissue Characterization. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24477

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):

Gharibans, Armen A. “Diffusion Tensor Imaging and Quantitative Tractography of Skeletal Muscle for Microstructural Tissue Characterization.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed January 24, 2021. http://hdl.handle.net/2142/24477.

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

MLA Handbook (7^th Edition):

Gharibans, Armen A. “Diffusion Tensor Imaging and Quantitative Tractography of Skeletal Muscle for Microstructural Tissue Characterization.” 2011. Web. 24 Jan 2021.

Vancouver:

Gharibans AA. Diffusion Tensor Imaging and Quantitative Tractography of Skeletal Muscle for Microstructural Tissue Characterization. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2142/24477.

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

Council of Science Editors:

Gharibans AA. Diffusion Tensor Imaging and Quantitative Tractography of Skeletal Muscle for Microstructural Tissue Characterization. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24477

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

University of Hong Kong

15. 张忠平. Quantitative in vivo assessment of tissue microstructure using diffusion tensor and kurtosis imaging.

Degree: 2011, University of Hong Kong

URL: http://hdl.handle.net/10722/144177

Subjects/Keywords: Diffusion tensor imaging.; Tissues - Imaging.

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

APA (6^th Edition):

张忠平. (2011). Quantitative in vivo assessment of tissue microstructure using diffusion tensor and kurtosis imaging. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/144177

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

Chicago Manual of Style (16^th Edition):

张忠平. “Quantitative in vivo assessment of tissue microstructure using diffusion tensor and kurtosis imaging.” 2011. Thesis, University of Hong Kong. Accessed January 24, 2021. http://hdl.handle.net/10722/144177.

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

MLA Handbook (7^th Edition):

张忠平. “Quantitative in vivo assessment of tissue microstructure using diffusion tensor and kurtosis imaging.” 2011. Web. 24 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

张忠平. Quantitative in vivo assessment of tissue microstructure using diffusion tensor and kurtosis imaging. [Internet] [Thesis]. University of Hong Kong; 2011. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10722/144177.

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

Council of Science Editors:

张忠平. Quantitative in vivo assessment of tissue microstructure using diffusion tensor and kurtosis imaging. [Thesis]. University of Hong Kong; 2011. Available from: http://hdl.handle.net/10722/144177

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

University of Hong Kong

16. Ding, Ying. Magnetic resonance diffusion characterization of brain diseases.

Degree: 2012, University of Hong Kong

URL: http://hdl.handle.net/10722/180942

► Magnetic resonance imaging (MRI) is a valuable imaging technique. It provides excellent soft tissue contrast and multi-parametric non-invasive imaging protocols. Among those various techniques, diffusion… (more)

▼ Magnetic resonance imaging (MRI) is a valuable imaging technique. It provides excellent soft tissue contrast and multi-parametric non-invasive imaging protocols. Among those various techniques, diffusion MRI measures the water diffusion properties of biological tissue. It is a useful tool in characterizing various brain tissue microstructures quantitatively. With its rapid development, it is emerging that subtle changes can be probed by diffusion tensor imaging (DTI) quantitation. The objectives of this doctoral work are to access the subtle microstructural alterations in rodent brains due to hemodynamic changes, fear conditioning and sleep deprivation using in vivo DTI. With the improved reproducibility and specificity achieved by using advanced post-processing and animal preparation procedures, in vivo DTI is expected to be useful to explore the underlying biological mechanisms for posttraumatic stress disorder and memory deficit following sleep loss in human. Firstly, as DTI could be influenced by the presence of water molecules in brain vasculature, for better understand the reproducibility and sensitivity of in vivo DTI measurements, conventional DTI protocol was applied to a well-controlled rat model of hypercapnia. Our data demonstrated that diffusivities increased in whole brain, gray and white matter regions in response to hypercapnia. These results indicate that in vivo DTI quantitation in brain can be interfered by vascular factors on the order of few percents. Cautions should be taken in designing and interpreting quantitative DTI studies as all DTI indices can be potentially confounded by physiologic conditions, cerebrovascular and hemodynamic characteristics. Secondly, recent DTI studies have shown detection of long-term neural plasticity weeks to months following relatively extensive periods of training in animals. However, rapid plasticity within a short period (24 hours) after learning is important for observing the time course of training-evoked changes and narrow down candidate mechanisms. Fear conditioning (FC), which typically occurs over a short timescale (in minutes), was selected as a paradigm for investigation. Using voxel-wise repeated measures analysis, FA was found to increase in amygdala and decrease in hippocampus 1-hour post-FC, and it reversed in both regions 1-day post-FC. Results indicate that DTI can detect rapid microstructural changes in brain regions known to mediate fear conditioning in vivo. DTI indices could be explored as a translational tool to capture potential early biological changes in individuals at risk for developing post-traumatic stress disorder. Thirdly, in vivo DTI was employed to access regional specific microstructural changes following rapid eye movement sleep deprivation (SD), and explore possible temporal differentiation of these changes. With voxel-base analysis, MD is found to decrease in post-SD time points in bilateral hippocampi and cerebral cortex. The distributions of these clusters exhibited differentiable layer specific patterns, which were…

Subjects/Keywords: Brain - Imaging.; Diffusion tensor imaging.

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

APA (6^th Edition):

Ding, Y. (2012). Magnetic resonance diffusion characterization of brain diseases. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/180942

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):

Ding, Ying. “Magnetic resonance diffusion characterization of brain diseases.” 2012. Thesis, University of Hong Kong. Accessed January 24, 2021. http://hdl.handle.net/10722/180942.

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

MLA Handbook (7^th Edition):

Ding, Ying. “Magnetic resonance diffusion characterization of brain diseases.” 2012. Web. 24 Jan 2021.

Vancouver:

Ding Y. Magnetic resonance diffusion characterization of brain diseases. [Internet] [Thesis]. University of Hong Kong; 2012. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10722/180942.

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

Council of Science Editors:

Ding Y. Magnetic resonance diffusion characterization of brain diseases. [Thesis]. University of Hong Kong; 2012. Available from: http://hdl.handle.net/10722/180942

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

University of New South Wales

17. Qin, Eric Chuan. Investigating the anisotropic mechanical properties of skeletal muscle using magnetic resonance elastography and diffusion tensor imaging.

Degree: Clinical School - Prince of Wales Hospital, 2012, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/52341 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11014/SOURCE01?view=true

► An abnormal change in muscle mechanical properties is usually indicative of disease or injury. In this thesis, the in vivo anisotropic mechanical properties of skeletal… (more)

▼ An abnormal change in muscle mechanical properties is usually indicative of disease or injury. In this thesis, the in vivo anisotropic mechanical properties of skeletal muscles were investigated non-invasively using a combined medical imaging modality - magnetic resonance elastography (MRE) combined with diffusion tensor imaging (DTI). By assuming a transversely isotropic model, the shear modulus parallel (μ║) and perpendicular (μ┴) to the local fibre orientation, as well as the anisotropic ratio (μ║/ μ┴), were calculated. DTI provided the local fibre direction in anisotropic materials based on the diffusion of water molecules. Experiments were conducted in ex vivo phantoms and bovine muscle samples, an in vivo mouse model, and in vivo human subjects. Results from these studies showed that this combined MRE/DTI imaging method was capable of visualizing and quantifying the anisotropic shear moduli (µ║, µ┴) and detecting changes in the mechanical anisotropic ratio (µ║/µ┴) in ex vivo phantoms and in vivo skeletal muscles. Specifically, the phantom results showed that the MRE/DTI technique was able to differentiate various levels of anisotropy, and the results correlated well with the gold standard rheometry tests. Moreover, in vivo animal results indicate that this technique can detect changes in muscle mechanical anisotropy due to necrosis, consistent with histological findings. Finally, in an in vivo human study, it was demonstrated that the mechanical anisotropy ratio can be used to track the physiological response of skeletal muscle after eccentric exercise. Overall, these results have shown that the mechanical anisotropy ratio (µ║/µ┴) has potential as an imaging biomarker for detecting pathological and physiological changes in skeletal muscle in vivo, and the MRE/DTI technique can be used to accurately measure this tissue anisotropic mechanical property non-invasively. Advisors/Committee Members: Bilston, Lynne, Neuroscience Research Australia, UNSW.

Subjects/Keywords: Elastography; Muscle; Medical imaging; Diffusion tensor imaging; Viscoelasticity; Anisotropy; MRI

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APA (6^th Edition):

Qin, E. C. (2012). Investigating the anisotropic mechanical properties of skeletal muscle using magnetic resonance elastography and diffusion tensor imaging. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52341 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11014/SOURCE01?view=true

Chicago Manual of Style (16^th Edition):

Qin, Eric Chuan. “Investigating the anisotropic mechanical properties of skeletal muscle using magnetic resonance elastography and diffusion tensor imaging.” 2012. Doctoral Dissertation, University of New South Wales. Accessed January 24, 2021. http://handle.unsw.edu.au/1959.4/52341 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11014/SOURCE01?view=true.

MLA Handbook (7^th Edition):

Qin, Eric Chuan. “Investigating the anisotropic mechanical properties of skeletal muscle using magnetic resonance elastography and diffusion tensor imaging.” 2012. Web. 24 Jan 2021.

Vancouver:

Qin EC. Investigating the anisotropic mechanical properties of skeletal muscle using magnetic resonance elastography and diffusion tensor imaging. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 Jan 24]. Available from: http://handle.unsw.edu.au/1959.4/52341 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11014/SOURCE01?view=true.

Council of Science Editors:

Qin EC. Investigating the anisotropic mechanical properties of skeletal muscle using magnetic resonance elastography and diffusion tensor imaging. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52341 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11014/SOURCE01?view=true

University of Cambridge

18. Neto Henriques, Rafael. Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain.

Degree: PhD, 2018, University of Cambridge

URL: https://doi.org/10.17863/CAM.29356 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763576

► Diffusion of water molecules in biological tissues depends on several microstructural properties. Therefore, diffusion Magnetic Resonance Imaging (dMRI) is a useful tool to infer and… (more)

▼ Diffusion of water molecules in biological tissues depends on several microstructural properties. Therefore, diffusion Magnetic Resonance Imaging (dMRI) is a useful tool to infer and study microstructural brain changes in the context of human development, ageing and neuropathology. In this thesis, the state-of-the-art of advanced dMRI techniques is explored and strategies to overcome or reduce its pitfalls are developed and validated. Firstly, it is shown that PCA denoising and Gibbs artefact suppression algorithms provide an optimal compromise between increased precision of diffusion measures and the loss of tissue's diffusion non-Gaussian information. Secondly, the spatial information provided by the diffusion kurtosis imaging (DKI) technique is explored and used to resolve crossing fibres and generalize diffusion measures to cases not limited to well-aligned white matter fibres. Thirdly, as an alternative to diffusion microstructural modelling techniques such as the neurite orientation dispersion and density imaging (NODDI), it is shown that spherical deconvolution techniques can be used to characterize fibre crossing and dispersion simultaneously. Fourthly, free water volume fraction estimates provided by the free water diffusion tensor imaging (fwDTI) are shown to be useful to detect and remove voxels corrupted by cerebrospinal fluid (CSF) partial volume effects. Finally, dMRI techniques are applied to the diffusion data from the large collaborative Cambridge Centre for Ageing and Neuroscience (CamCAN) study. From these data, the inference provided by diffusion anisotropy measures on maturation and degeneration processes is shown to be biased by age-related changes of fibre organization. Inconsistencies of previous NODDI ageing studies are also revealed to be associated with the different age ranges covered. The CamCAN data is also processed using a novel non-Gaussian diffusion characterization technique which is invariant to different fibre configurations. Results show that this technique can provide indices specific to axonal water fraction which can be linked to age-related fibre density changes.

Subjects/Keywords: 612.8; Diffusion MRI; Ageing; Diffusion Kurtosis Imaging; Diffusion Tensor Imaging; MRI; Diffusion; Spherical Deconvolution; Denoising; Tractography; Kurtosis; Free Water Diffusion Tensor Imaging; Microstructure; Modelling

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APA (6^th Edition):

Neto Henriques, R. (2018). Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.29356 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763576

Chicago Manual of Style (16^th Edition):

Neto Henriques, Rafael. “Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain.” 2018. Doctoral Dissertation, University of Cambridge. Accessed January 24, 2021. https://doi.org/10.17863/CAM.29356 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763576.

MLA Handbook (7^th Edition):

Neto Henriques, Rafael. “Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain.” 2018. Web. 24 Jan 2021.

Vancouver:

Neto Henriques R. Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Jan 24]. Available from: https://doi.org/10.17863/CAM.29356 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763576.

Council of Science Editors:

Neto Henriques R. Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://doi.org/10.17863/CAM.29356 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763576

Vanderbilt University

19. Fan, Qiuyun. Improved Assessment of Reading Networks in the Brain Using Diffusion MRI.

Degree: PhD, Biomedical Engineering, 2013, Vanderbilt University

URL: http://hdl.handle.net/1803/10933

► Reading is a complex cognitive behavior, which relies on the incorporation of a network of brain regions. White matter is the information transfer pathway between… (more)

▼ Reading is a complex cognitive behavior, which relies on the incorporation of a network of brain regions. White matter is the information transfer pathway between distant brain regions, and thus plays an important role in mediating reading ability. Diffusion Tensor Imaging (DTI) is an MR technique to characterize white matter microstructure by probing the propensity of water molecules¡¯ diffusion in in vivo tissues. This dissertation seeks to investigate the reading network in the brain using diffusion MRI. The first part of the dissertation studies the cortical network with a focus on the putative visual word form area (VWFA), which is reproducibly found to be selectively recruited by visual orthographic conversion. We studied the structural connectivity patterns of the VWF-system in children with typically developing (TD) reading ability and with reading difficulty (RD). We found that the architecture of the VWFA connectivity is fundamentally different between TD and RD groups, with TD showing greater connectivity to linguistic regions than RD, and RD showing greater connectivity to visual regions than TD. The second part of the dissertation studies subcortical-cortical network, with a focus on the thalamus, the way-station of information transfer in white matter. Abnormal thalamo-cortical connectivity was found in the RD group in sensorimotor, orbital frontal and insula cortices. These results suggest that the thalamus plays a key role in reading behavior by mediating the functions of task specific cortical regions. Despite the valuable information DTI can provide, it suffers from fundamental limitations, especially when multiple fiber bundles are present. To address this problem, the third part of the dissertation proposes a new method to study complex white matter structures. It improves the current spherical deconvolution method by relaxing the assumption that all fiber bundles share the same response kernel. The in vivo experiments show that this Multiple Kernel Spherical Deconvolution (MKSD) approach can identify crossing fiber bundles and simultaneously provide an estimate of the diffusion properties intrinsic to each fiber bundle. Advisors/Committee Members: John C Gore (committee member), Laurie E Cutting (committee member), G Nicole Davis (committee member), Bennett Landman (committee member), Adam W Anderson (Committee Chair).

Subjects/Keywords: Diffusion Tensor Imaging; High Angular Resolution Diffusion Imaging; MRI; Reading Ability; Children; Brain Connectivity

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APA (6^th Edition):

Fan, Q. (2013). Improved Assessment of Reading Networks in the Brain Using Diffusion MRI. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10933

Chicago Manual of Style (16^th Edition):

Fan, Qiuyun. “Improved Assessment of Reading Networks in the Brain Using Diffusion MRI.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2021. http://hdl.handle.net/1803/10933.

MLA Handbook (7^th Edition):

Fan, Qiuyun. “Improved Assessment of Reading Networks in the Brain Using Diffusion MRI.” 2013. Web. 24 Jan 2021.

Vancouver:

Fan Q. Improved Assessment of Reading Networks in the Brain Using Diffusion MRI. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1803/10933.

Council of Science Editors:

Fan Q. Improved Assessment of Reading Networks in the Brain Using Diffusion MRI. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/10933

University of Minnesota

20. Farooq, Hamza. Geometric and Optimization Methods for Diffusion Magnetic Resonance Imaging.

Degree: PhD, Electrical/Computer Engineering, 2017, University of Minnesota

URL: http://hdl.handle.net/11299/216888

► This thesis presents novel mathematical and computational methods aimed at enhancing and improving brain tissue structural imaging techniques that are based on diffusion Magnetic Resonance… (more)

▼ This thesis presents novel mathematical and computational methods aimed at enhancing and improving brain tissue structural imaging techniques that are based on diffusion Magnetic Resonance Imaging (dMRI). The most commonly used dMRI technique is Diffusion Tensor Imaging (DTI), which models water diffusion via a Gaussian pattern and estimates the corresponding covariance, also known as diffusion tensor. DTI forms the basis of brain structural connectivity methods like tractography and sub-cortical region parcellation, and thus provides useful markers for brain white matter integrity. Other, recently proposed dMRI techniques rely on modeling water diffusion in intra-axonal and extra-axonal spaces separately. Thereby, these so-called multi-compartment models hold the promise to provide detailed tissue microstructure information and to identify markers that may be specific to particular tissue development/diseases. In this thesis we address key mathematical challenges encountered by DTI, as well as by these newly proposed dMRI techniques, that pertain to recovering more detailed microstructure information. We begin by focusing on DTI and present novel geometrical methods to improve DTI analysis (Chapters 3, 4, and 5). In particular, (i) we utilize the mathematical theory of Optimal Mass Transport to improve brain parcellation by comparing sub-cortical regions connectivity profiles and compute their corresponding geometric ``average'' connectivity profiles, (ii) we introduce Ricci flow applied to diffusion tensor fields to enhance feature extraction, and finally (iii) we introduce a notion of discrete Ricci curvature in brain connectivity networks as a novel nodal measure to detect critical regions (nodes) of the structural brain networks. This notion of node curvature can be used to identify changes in brain network structure due to disease/development as it supplements information that can be obtained by other conventional network nodal measures. We then study multi-compartment dMRI models, and present a novel model fitting method to such tissue models (Chapter 6). Our proposed method is generic to all multicompartment models and enables for the first time dMRI-imaging in multiple fiber orientations and fiber-crossings situations. In addition to potential improvements in imaging technology, we hope that the advances presented in this work will contribute to the diagnosis and treatment of neurological disorders.

Subjects/Keywords: Brain Networks; Diffusion MRI; Diffusion Tensor Imaging; Graph curvature; Micro-structure Imaging; Optimal Mass Transport

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APA (6^th Edition):

Farooq, H. (2017). Geometric and Optimization Methods for Diffusion Magnetic Resonance Imaging. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/216888

Chicago Manual of Style (16^th Edition):

Farooq, Hamza. “Geometric and Optimization Methods for Diffusion Magnetic Resonance Imaging.” 2017. Doctoral Dissertation, University of Minnesota. Accessed January 24, 2021. http://hdl.handle.net/11299/216888.

MLA Handbook (7^th Edition):

Farooq, Hamza. “Geometric and Optimization Methods for Diffusion Magnetic Resonance Imaging.” 2017. Web. 24 Jan 2021.

Vancouver:

Farooq H. Geometric and Optimization Methods for Diffusion Magnetic Resonance Imaging. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/11299/216888.

Council of Science Editors:

Farooq H. Geometric and Optimization Methods for Diffusion Magnetic Resonance Imaging. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/216888

University of Toronto

21. Walker, Matthew Robert. Central and Peripheral Neuroimaging in Magnetic Resonance-guided Focused Ultrasound.

Degree: PhD, 2019, University of Toronto

URL: http://hdl.handle.net/1807/97714

► Magnetic resonance-guided focused ultrasound (MRgFUS) is a non-invasive treatment modality which uses acoustic waves to generate precise thermal lesions. There is growing interest in its… (more)

▼ Magnetic resonance-guided focused ultrasound (MRgFUS) is a non-invasive treatment modality which uses acoustic waves to generate precise thermal lesions. There is growing interest in its application to the treatment of neurological conditions. Conventional MR contrasts can provide anatomical references for targeting and lesion identification but do not impart information about the cellular environment or neural microstructure. Diffusion weighted imaging (DWI) is a technique sensitive to the motion of water within tissue that can be used to visualize fiber bundles and quantitatively assess treatment changes to nerve architecture in vivo. The main aims of this thesis are to: 1) develop an imaging and acoustic sonication procedure using DWI and tractography; and 2) incorporate DWI in the thermal lesioning of intracranial white matter and peripheral nerves to enhance targeting and understand the treatment effect on tissue microstructure. Specific aims of this thesis are to: 1) investigate the DWI characteristics of ex vivo animal brain tissue as a model for neurosurgical treatment development; 2) generate thermal lesions on brain white matter in an in vivo animal model and determine the treatment effect via diffusion tensor imaging (DTI) metrics, tractography, and histological validation; 3) reconstruct the sciatic nerves via tractography to enhance target determination; and 4) produce focal ablations on the sciatic nerve and measure the microstructural changes via DTI metrics. Imaging results from Study I reveal that non-fixed ex vivo brain tissue does not differ from in vivo tissue in terms of diffusion anisotropy, demonstrating its potential use in neurosurgical technique characterization. In Study II, lesion size and location were automatically determined in vivo using Mean DWI and confirmed by histology. DTI metrics in the lesion revealed a pattern of treatment-related anisotropy and diffusivity alterations. Affected fiber pathways were visualized via tractography. In Study III, higher order tractography methods permitted consistent reconstruction of sciatic nerves and precise MRgFUS target placement. Significant microstructural changes in the nerve were observed due to lesioning. Taken together, this thesis demonstrates significant advancements in the visualization of MRgFUS treatment targets and the assessment of microstructural changes that occur following thermal ablation within the central and peripheral nervous systems. Advisors/Committee Members: Hodaie, Mojgan, Medical Science.

Subjects/Keywords: diffusion tensor imaging; diffusion weighted imaging; focused ultrasound; neuroimaging; therapeutic ultrasound; tractography; 0574

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

APA (6^th Edition):

Walker, M. R. (2019). Central and Peripheral Neuroimaging in Magnetic Resonance-guided Focused Ultrasound. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/97714

Chicago Manual of Style (16^th Edition):

Walker, Matthew Robert. “Central and Peripheral Neuroimaging in Magnetic Resonance-guided Focused Ultrasound.” 2019. Doctoral Dissertation, University of Toronto. Accessed January 24, 2021. http://hdl.handle.net/1807/97714.

MLA Handbook (7^th Edition):

Walker, Matthew Robert. “Central and Peripheral Neuroimaging in Magnetic Resonance-guided Focused Ultrasound.” 2019. Web. 24 Jan 2021.

Vancouver:

Walker MR. Central and Peripheral Neuroimaging in Magnetic Resonance-guided Focused Ultrasound. [Internet] [Doctoral dissertation]. University of Toronto; 2019. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1807/97714.

Council of Science Editors:

Walker MR. Central and Peripheral Neuroimaging in Magnetic Resonance-guided Focused Ultrasound. [Doctoral Dissertation]. University of Toronto; 2019. Available from: http://hdl.handle.net/1807/97714

University of Iowa

22. Matsui, Joy Tamiko. Development of image processing tools and procedures for analyzing multi-site longitudinal diffusion-weighted imaging studies.

Degree: PhD, Biomedical Engineering, 2014, University of Iowa

URL: https://ir.uiowa.edu/etd/4690

► The logistical complexities of performing multi-site longitudinal diffusion-weighted imaging (DWI) studies requires careful construction of analysis tools and procedures. Proposed clinical trials for therapies… (more)

▼ The logistical complexities of performing multi-site longitudinal diffusion-weighted imaging (DWI) studies requires careful construction of analysis tools and procedures. Proposed clinical trials for therapies in neurodegenerative disease are known to re- quire several hundred subjects, thus mandating multiple site participation to obtain sufficient sample sizes. DWI is an important tool for monitoring diffusivity properties of white matter (WM) in disease progression. The multi-site nature of clinical trials requires new strategies in DWI processing and analysis to reliably measure longitudi- nal WM changes. This work describes the process of developing and validating robust analysis methodologies to process multi-site DWI data in a rare, neurodegenerative disease. Key processing components to accomplish a robust DWI processing system include: DICOM conversion, automated quality control, unbiased atlas construction, fiber tracking, and statistical analysis. Extensive validation studies were performed to characterize methodological results within and across the common confounds inherent in multi-site clinical trials. The conversion and automated quality control tools optimized for this work both enhanced the ability to reliably obtain repeat diffusion tensor image (DTI) scalar measurements in a reliability analysis of healthy controls scanned at multiple sites using multiple scanner vendors. A DTI scalar analysis performed on focused WM regions showed it was possible to detect significant mean differences of DTI scalars among separate groups of a neurodegenerative disease population. The DTI scalar analysis paved the way for an atlas-based cross-sectional fiber tracking analysis. In the cross-sectional fiber tracking analysis, multi-site data was brought into the same space, making major fiber tracts terminating in the focused WM regions of the scalar analysis from all participants comparable. Significant differences in diffusivity were found throughout each tract among separate groups of the neurodegenerative disease population. In addition, multiple neuropsychological cognitive variables that have a documented ability to track disease progression of the neurodegenerative disease, strongly correlated with many of the DTI scalars in each tract. The findings of the cross-sectional fiber tracking analysis were reinforced by similar findings produced by a longitudinal fiber tracking analysis. Collectively, these findings suggest that cogni- tive deficits seen in the neurodegenerative disease population could be explained by changes in diffusivity of the tracts explored in this work. In addition to the longi- tudinal fiber tracking analysis examining diffusivity, methods for a WM morphology analysis using parallel transport to apply longitudinal volume changes to a template was explored. Advisors/Committee Members: Johnson, Hans J. (supervisor).

Subjects/Keywords: diffusion tensor imaging; diffusion weighted imaging; Huntington's disease; white matter; Biomedical Engineering and Bioengineering

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APA (6^th Edition):

Matsui, J. T. (2014). Development of image processing tools and procedures for analyzing multi-site longitudinal diffusion-weighted imaging studies. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/4690

Chicago Manual of Style (16^th Edition):

Matsui, Joy Tamiko. “Development of image processing tools and procedures for analyzing multi-site longitudinal diffusion-weighted imaging studies.” 2014. Doctoral Dissertation, University of Iowa. Accessed January 24, 2021. https://ir.uiowa.edu/etd/4690.

MLA Handbook (7^th Edition):

Matsui, Joy Tamiko. “Development of image processing tools and procedures for analyzing multi-site longitudinal diffusion-weighted imaging studies.” 2014. Web. 24 Jan 2021.

Vancouver:

Matsui JT. Development of image processing tools and procedures for analyzing multi-site longitudinal diffusion-weighted imaging studies. [Internet] [Doctoral dissertation]. University of Iowa; 2014. [cited 2021 Jan 24]. Available from: https://ir.uiowa.edu/etd/4690.

Council of Science Editors:

Matsui JT. Development of image processing tools and procedures for analyzing multi-site longitudinal diffusion-weighted imaging studies. [Doctoral Dissertation]. University of Iowa; 2014. Available from: https://ir.uiowa.edu/etd/4690

Brno University of Technology

23. Hrmel, Martin. Měření difúzního tenzoru: Diffusion Tensor Measurement.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/4994

► The aim of this bachelor thesis is to create methodology for measuring diffusion tensor using MR and experimental verification on chosen biological sample. A set… (more)

Subjects/Keywords: Nukleárna magnetická rezonancia; difúzia; difúzny tenzor; difúzny tenzorový obraz; Nuclear magnetic resonance; diffusion; diffusion tensor; diffusion tensor imaging

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APA (6^th Edition):

Hrmel, M. (2018). Měření difúzního tenzoru: Diffusion Tensor Measurement. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/4994

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):

Hrmel, Martin. “Měření difúzního tenzoru: Diffusion Tensor Measurement.” 2018. Thesis, Brno University of Technology. Accessed January 24, 2021. http://hdl.handle.net/11012/4994.

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

MLA Handbook (7^th Edition):

Hrmel, Martin. “Měření difúzního tenzoru: Diffusion Tensor Measurement.” 2018. Web. 24 Jan 2021.

Vancouver:

Hrmel M. Měření difúzního tenzoru: Diffusion Tensor Measurement. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/11012/4994.

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

Council of Science Editors:

Hrmel M. Měření difúzního tenzoru: Diffusion Tensor Measurement. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/4994

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

Universidade Estadual de Campinas

24. Guimarães, Rachel Paes, 1984-. Análise de conectividade estrutural e funcional em pacientes com doença de Parkinson: Structural and functional analyzes in Parkinson's disease.

Degree: 2015, Universidade Estadual de Campinas

URL: http://repositorio.unicamp.br/jspui/handle/REPOSIP/312641

► Abstract: Introduction: Parkinson's disease (PD) is the second most common neurodegenerative disease in the world. It is a multisystemic disorder characterized by motor and non-motor… (more)

▼ Abstract: Introduction: Parkinson's disease (PD) is the second most common neurodegenerative disease in the world. It is a multisystemic disorder characterized by motor and non-motor symptoms. The pathophysiology of PD has not been fully elucidated and previous imaging studies mostly used voxel-based morphometry, comparing subgroups of patients, with or without certain symptoms. Objectives: The aim of this study was to evaluate individuals with PD through different imaging techniques. Methods: We evaluated 101 patients (71 men) and 69 controls. Eighty-five patients underwent clinical evaluation and of those, 36 had the first symptom at right, and in 56 the main symptom was tremor. Patients were assessed through scales: Unified Parkinson's Disease Rating Scale (UPDRS) (59.33 ± 9.8), Hoehn & Yahr (H & Y) (2.84 ± 1.2), Scales for Outcomes in Parkinson's Disease-Cognition (SCOPA-COG) (19:24 ± 6.8), Scales for Outcomes in Parkinson's Disease - Psychiatric Complications (SCOPA-PC) (3.6 ± 7.8), Non-Motor Symptoms Scale (NMSS) (69.57 ± 48.19) and Schwab & England scale for activities of daily living (73% ± 22%). We use the following image analysis techniques: diffusion tensor imaging (DTI), cortical thickness analysis (CTA) and resting state functional magnetic resonance imaging (rs-fMRI). Results: In the DTI, we evaluated three tracts: corticospinal, cingulum and corpus callosum. In the corticospinal tract, we found increased fractional anisotropy (FA) and decreased mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD). There were no significant differences in the cingulum, and we observed decreased FA in the corpus callosum. There was an association between MD and RD in the corticospinal tract and cingulum with the SCOPA-COG scores, and between the FA and RD in the corpus callosum and the UPDRS-III. FA values ??lower than 0.559467 in the corticospinal tract, properly differentiated patients from controls in 85.04 % of cases, with a sensitivity of 89.04% and sensitivity of 79.63%. There were no significant differences between patients and controls in CTA, however, when the patients were divided into mild, moderate and severe subgroups, we found differences in the three groups. The mild group had decreased CT in the superior temporal gyrus, gyrus rectus and the olfactory cortex, the moderate group exhibited reduced CT in the postcentral gyrus, the supplementary motor area and the inferior frontal gyrus, while the severe group presented decreased CT in the inferior frontal gyrus, precentral and postcentral gyrus, supplementary motor area, inferior frontal gyrus, gyrus rectus, temporal pole, fusiform gyrus, middle temporal gyrus and occipital gyrus. We found an association between the UPDRS-III scores and CT. We found decreased connectivity between various areas in the frontal, temporal and occipital lobes, thalamus and brainstem. We found reduced connectivity in the default mode network and the visual network. Conclusion: We used three complementary techniques to assess brain changes in PD. We demonstrated… Advisors/Committee Members: UNIVERSIDADE ESTADUAL DE CAMPINAS (CRUESP), Cendes, Fernando, 1962- (advisor), D'Abreu, Anelyssa Cysne Frota (coadvisor), Universidade Estadual de Campinas. Faculdade de Ciências Médicas (institution), Programa de Pós-Graduação em Fisiopatologia Médica (nameofprogram), Cardoso, Tânia Aparecida Marchiori de Oliveira (committee member), Betting, Luis Eduardo Gomes Garcia (committee member), Ferraz, Henrique Ballalai (committee member), Júnior, Marcondes Cavalcante França (committee member).

Subjects/Keywords: Doença de Parkinson; Neuroimagem; Imagem de tensor de difusão; Parkinson's disease; Neuroimage; Diffusion tensor imaging

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

APA (6^th Edition):

Guimarães, Rachel Paes, 1. (2015). Análise de conectividade estrutural e funcional em pacientes com doença de Parkinson: Structural and functional analyzes in Parkinson's disease. (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/312641

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):

Guimarães, Rachel Paes, 1984-. “Análise de conectividade estrutural e funcional em pacientes com doença de Parkinson: Structural and functional analyzes in Parkinson's disease.” 2015. Thesis, Universidade Estadual de Campinas. Accessed January 24, 2021. http://repositorio.unicamp.br/jspui/handle/REPOSIP/312641.

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

MLA Handbook (7^th Edition):

Guimarães, Rachel Paes, 1984-. “Análise de conectividade estrutural e funcional em pacientes com doença de Parkinson: Structural and functional analyzes in Parkinson's disease.” 2015. Web. 24 Jan 2021.

Vancouver:

Guimarães, Rachel Paes 1. Análise de conectividade estrutural e funcional em pacientes com doença de Parkinson: Structural and functional analyzes in Parkinson's disease. [Internet] [Thesis]. Universidade Estadual de Campinas; 2015. [cited 2021 Jan 24]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/312641.

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

Council of Science Editors:

Guimarães, Rachel Paes 1. Análise de conectividade estrutural e funcional em pacientes com doença de Parkinson: Structural and functional analyzes in Parkinson's disease. [Thesis]. Universidade Estadual de Campinas; 2015. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/312641

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

Washington University in St. Louis

25. Chiang, Chia-Wen. Assessing Optic Neuritis in a Mouse Model of Multiple Sclerosis with Diffusion MR Imaging.

Degree: PhD, Chemistry, 2013, Washington University in St. Louis

URL: https://openscholarship.wustl.edu/art_sci_etds/1047

► Optic neuritis (ON) is an early manifestation in patients of multiple sclerosis (MS), typically resulting in visual dysfunction. The inflammatory demyelination of the optic… (more)

▼ Optic neuritis (ON) is an early manifestation in patients of multiple sclerosis (MS), typically resulting in visual dysfunction. The inflammatory demyelination of the optic nerve in ON closely resembles pathologies of the rest of central nervous system (CNS) white matter in MS. Since accumulated axonal degeneration in MS was considered as the potential cause leading to permanent disability, correlating optic nerve pathology and visual function in ON could be a model system to investigate the relationship between functional outcome and neuropathology. It may also present a new way to reflect the disease progression in MS. Various MR techniques have been used to assess inflammation (inflammatory cell infiltration and vasogenic edema) of ON, but rarely demonstrated the ability to image cellularity changes non-invasively. Diffusion MRI measures the Brownian motion of water molecules in the microstructure of biological tissues. Diffusion tensor imaging (DTI) holds the promise to provide a specific biomarker of axonal injury and demyelination in CNS white matter by axial diffusivity (the diffusion parallel to white matter fibers) and radial diffusivity (the diffusion perpendicular to white matter fibers), respectively. However, DTI assumes a single diffusion tensor model and thus takes an average of varied diffusion components. In contrast, our recently developed diffusion basis spectrum imaging (DBSI) resolves the complex diffusion components and provides relatively accurate directional diffusivities and diffusion component fractions, relating to the detail and accurate pathological picture of the disease or injury. In the current work, in vivo 25-direction DBSI was applied to the optic nerve of mice with experimental autoimmune encephalomyelitis (EAE), an animal model of MS, with visual impairment at onset of ON. Our results demonstrate that inflammation correlated well with visual impairment in acute ON. DBSI successfully detected inflammatory cell infiltration and optic nerve white matter pathology in EAE that was consistent with histology, supporting the capability of DBSI to quantify increased cellularity, axonal injury and myelin damage in the optic nerve of EAE mice. Advisors/Committee Members: Joseph J. H. Ackerman, Sheng-Kwei Song, Anne H. Cross, Dewey Holten, Joshua Maurer, Liviu Mirica.

Subjects/Keywords: Diffusion basis spectrum imaging, Diffusion tensor imaging, Inflammation, Magnetic resonance imaging, Restricted diffusion, White matter injury; Chemistry

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APA (6^th Edition):

Chiang, C. (2013). Assessing Optic Neuritis in a Mouse Model of Multiple Sclerosis with Diffusion MR Imaging. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/art_sci_etds/1047

Chicago Manual of Style (16^th Edition):

Chiang, Chia-Wen. “Assessing Optic Neuritis in a Mouse Model of Multiple Sclerosis with Diffusion MR Imaging.” 2013. Doctoral Dissertation, Washington University in St. Louis. Accessed January 24, 2021. https://openscholarship.wustl.edu/art_sci_etds/1047.

MLA Handbook (7^th Edition):

Chiang, Chia-Wen. “Assessing Optic Neuritis in a Mouse Model of Multiple Sclerosis with Diffusion MR Imaging.” 2013. Web. 24 Jan 2021.

Vancouver:

Chiang C. Assessing Optic Neuritis in a Mouse Model of Multiple Sclerosis with Diffusion MR Imaging. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2013. [cited 2021 Jan 24]. Available from: https://openscholarship.wustl.edu/art_sci_etds/1047.

Council of Science Editors:

Chiang C. Assessing Optic Neuritis in a Mouse Model of Multiple Sclerosis with Diffusion MR Imaging. [Doctoral Dissertation]. Washington University in St. Louis; 2013. Available from: https://openscholarship.wustl.edu/art_sci_etds/1047

University of Illinois – Urbana-Champaign

26. Naughton, Noel M. A Lattice Boltzmann method model of diffusion-weighted magnetic resonance imaging in skeletal muscle.

Degree: MS, Mechanical Engineering, 2016, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/90966

► Aging and obesity is associated with reduction in muscle mass and increase in fat mass, leading to decline in both physical function and health. Probing… (more)

Subjects/Keywords: Lattice Boltzmann Method; Magnetic resonance imaging (MRI); Diffusion tensor imaging (DTI); Diffusion-Weighted Imaging; myocyte; diffusion; skeletal muscle

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

APA (6^th Edition):

Naughton, N. M. (2016). A Lattice Boltzmann method model of diffusion-weighted magnetic resonance imaging in skeletal muscle. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90966

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):

Naughton, Noel M. “A Lattice Boltzmann method model of diffusion-weighted magnetic resonance imaging in skeletal muscle.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed January 24, 2021. http://hdl.handle.net/2142/90966.

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

MLA Handbook (7^th Edition):

Naughton, Noel M. “A Lattice Boltzmann method model of diffusion-weighted magnetic resonance imaging in skeletal muscle.” 2016. Web. 24 Jan 2021.

Vancouver:

Naughton NM. A Lattice Boltzmann method model of diffusion-weighted magnetic resonance imaging in skeletal muscle. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2142/90966.

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

Council of Science Editors:

Naughton NM. A Lattice Boltzmann method model of diffusion-weighted magnetic resonance imaging in skeletal muscle. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90966

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

University of Utah

27. Welsh, Christopher Lee. Advanced imaging tools for quantifying cardiac microstructure.

Degree: PhD, Bioengineering, 2015, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157

► Diffusion tensor MRI (DT-MRI or DTI) has been proven useful for characterizing biological tissue microstructure, with the majority of DTI studies having been performed previously… (more)

Subjects/Keywords: Compressed Sensing; Constrained Reconstruction; Diffusion Tensor Imaging; Magnetic Resonance Imaging; Motion Compensation; Small Animal Imaging

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APA (6^th Edition):

Welsh, C. L. (2015). Advanced imaging tools for quantifying cardiac microstructure. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157

Chicago Manual of Style (16^th Edition):

Welsh, Christopher Lee. “Advanced imaging tools for quantifying cardiac microstructure.” 2015. Doctoral Dissertation, University of Utah. Accessed January 24, 2021. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157.

MLA Handbook (7^th Edition):

Welsh, Christopher Lee. “Advanced imaging tools for quantifying cardiac microstructure.” 2015. Web. 24 Jan 2021.

Vancouver:

Welsh CL. Advanced imaging tools for quantifying cardiac microstructure. [Internet] [Doctoral dissertation]. University of Utah; 2015. [cited 2021 Jan 24]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157.

Council of Science Editors:

Welsh CL. Advanced imaging tools for quantifying cardiac microstructure. [Doctoral Dissertation]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157

University of Georgia

28. Langley, Jason Allen. Estimation of the phase gradient in MIR.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/27201

► Images acquired from magnetic resonance imaging scanners take complex values. The images can be broken into two distinct types of images: magnitude images and phase… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Diffusion Tensor Imaging; Phase Unwrapping; Positive Contrast; SPIO Quantification; Molecular Imaging

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APA (6^th Edition):

Langley, J. A. (2014). Estimation of the phase gradient in MIR. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/27201

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):

Langley, Jason Allen. “Estimation of the phase gradient in MIR.” 2014. Thesis, University of Georgia. Accessed January 24, 2021. http://hdl.handle.net/10724/27201.

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

MLA Handbook (7^th Edition):

Langley, Jason Allen. “Estimation of the phase gradient in MIR.” 2014. Web. 24 Jan 2021.

Vancouver:

Langley JA. Estimation of the phase gradient in MIR. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10724/27201.

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

Council of Science Editors:

Langley JA. Estimation of the phase gradient in MIR. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/27201

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

Stellenbosch University

29. Asmal, Laila. Brain structural and white matter changes in first-episode schizophrenia and their demographic, clinical and cognitive correlates.

Degree: PhD, Psychiatry, 2018, Stellenbosch University

URL: http://hdl.handle.net/10019.1/103286

► ENGLISH SUMMARY : In schizophrenia, decreased brain volume and altered cortical thinning (especially in the frontal and temporal areas), as well as white matter deficits… (more)

▼ ENGLISH SUMMARY : In schizophrenia, decreased brain volume and altered cortical thinning (especially in the frontal and temporal areas), as well as white matter deficits are described at the first-episode. The relationship between these brain measures and clinical symptoms, whether there is progression, and the extent to which antipsychotic medication contribute to or mitigate those changes remains unclear. The aim of this PhD was to examine cortical thickness, brain volume (cortical, subcortical, white matter) and diffusion tensor imaging data, looking at the relationship between these brain measures and clinical variables in the first year of schizophrenia treatment. This PhD focused on the MRI subcomponent of a larger prospective longitudinal study in first-episode schizophrenia (FES) patients treated with flupenthixol decanoate medication. The thesis integrates the findings of five journal manuscripts that each focused on a clinically relevant neuroimaging question that emerged as we assessed patients in the parent study, namely insight, childhood trauma, neuroimaging predictors of symptom expression, and antipsychotic related brain changes. In our first manuscript, baseline fractional anisotropy (FA) in a number of white matter tracts predicted poorer total insight in 89 FES patients, with a predilection for tracts associated with cortical midline structures. In our second manuscript, the ‘symptom misattribution’ domain of clinical insight was associated with significantly thinner left anterior cingulate and left rostral middle frontal cortices. Our studies address a need for research in larger samples in FES to better understand the neurobiology of insight in schizophrenia. In our third manuscript, baseline FA deficits in cortico-limbic circuitry was associated with childhood trauma in 53 FES patients compared to 51 controls, and there were differential effects of childhood emotional neglect (increased FA) and sexual abuse (decreased FA) on white matter in patients. To our knowledge, at the time of manuscript submission for publication, this was the first study examining the relationship between childhood trauma, FA and FES. For our fourth manuscript, baseline brain measures in 54 FES patients were differentially associated with state and trait symptom expression over 12 months, with global gray matter significantly associated with sensory integration and verbal learning trait scores, cortical volume with verbal learning trait scores, cortical thickness with social and occupational functioning trait scores, and white matter volume with motor coordination state scores. Of potential relevance to patient care is that these neuroimaging deficits at initial presentation in FES may predict enduring trait deficits in cognition, functioning and neurological soft signs. For our final manuscript, total antipsychotic dose was a predictor of substantial cortical brain volume reductions over twelve months of treatment in 23 antipsychotic naïve patients compared to 53 matched controls. Our finding of a significant… Advisors/Committee Members: Emsley, Robin, Dazzan, Paola, Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Psychiatry..

Subjects/Keywords: Schizophrenia – Diagnostic imaging; Schizophrenia – Neuroimaging; Brain – Diagnostic imaging; Neurosciences; Diffusion tensor imaging; White matter; UCTD

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

APA (6^th Edition):

Asmal, L. (2018). Brain structural and white matter changes in first-episode schizophrenia and their demographic, clinical and cognitive correlates. (Doctoral Dissertation). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103286

Chicago Manual of Style (16^th Edition):

Asmal, Laila. “Brain structural and white matter changes in first-episode schizophrenia and their demographic, clinical and cognitive correlates.” 2018. Doctoral Dissertation, Stellenbosch University. Accessed January 24, 2021. http://hdl.handle.net/10019.1/103286.

MLA Handbook (7^th Edition):

Asmal, Laila. “Brain structural and white matter changes in first-episode schizophrenia and their demographic, clinical and cognitive correlates.” 2018. Web. 24 Jan 2021.

Vancouver:

Asmal L. Brain structural and white matter changes in first-episode schizophrenia and their demographic, clinical and cognitive correlates. [Internet] [Doctoral dissertation]. Stellenbosch University; 2018. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10019.1/103286.

Council of Science Editors:

Asmal L. Brain structural and white matter changes in first-episode schizophrenia and their demographic, clinical and cognitive correlates. [Doctoral Dissertation]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103286

University of Toronto

30. Sam, Kevin. Diminished Cerebrovascular Reserve in the Cerebral White Matter of Elderly Individuals with Leukoaraiosis.

Degree: PhD, 2016, University of Toronto

URL: http://hdl.handle.net/1807/73143

► The cerebral white matter contains millions of fibers that serve to connect different regions of the brain and supports sophisticated information processing. A sudden loss… (more)

▼ The cerebral white matter contains millions of fibers that serve to connect different regions of the brain and supports sophisticated information processing. A sudden loss of these fibers in a brain region as seen in a stroke to a large blood vessel, can lead to severe loss of function especially when the affected fibers are in a strategic location. Little is known about the fine network of blood vessels supplying nutrition to the white matter that can become diseased with age, producing a very similar pattern of injury to the white matter termed "leukoaraiosis". Considerable research has been carried out studying the effects of injury to large vessels supplying the gray matter of the brain. However, understanding of the relationship between dysfunctional white matter blood vessels and injury to the white matter itself is limited. The purpose of the present research is to study this relationship in a unique way. The present work will use MRI and manipulation of blood carbon dioxide (CO2) levels for mapping the capacity of the cerebral vasculature to control blood flow, i.e. assessing cerebrovascular reactivity (CVR). CVR is a measure of the response of the arterial vasculature to respond to a vasoactive stimulus, such as CO2. The response to vasodilatory stimuli can fail in diseases that affect the integrity of the vasculature leading to interruption of blood supply, resulting in varying degrees of brain injury, including slowly progressive ischemic demyelination in the white matter. Research within this thesis has demonstrated that: CVR is reduced in leukoaraiosis compared to normal-appearing white matter (NAWM); (2) Cross-sectionally, abnormalities in diffusion and perfusion MRI metrics have been observed in the NAWM with steal physiology; (3) Reduced CVR is associated with the subsequent development of visible white matter injury when subjects completed a follow-up MRI scan separated 12-months apart from baseline and (4) The speed of the vascular response is also abnormal in leukoaraiosis compared to NAWM. This thesis provides insight into the mechanism of white matter injury and highlights a novel method for predicting injury in susceptible individuals. Advisors/Committee Members: Fisher, Joseph A., Mikulis, David J., Physiology.

Subjects/Keywords: Cerebral White Matter; Cerebrovascular Reactivity; Diffusion Tensor Imaging; Leukoaraiosis; Magnetic Resonance Imaging; Perfusion Imaging; 0317

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

APA (6^th Edition):

Sam, K. (2016). Diminished Cerebrovascular Reserve in the Cerebral White Matter of Elderly Individuals with Leukoaraiosis. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/73143

Chicago Manual of Style (16^th Edition):

Sam, Kevin. “Diminished Cerebrovascular Reserve in the Cerebral White Matter of Elderly Individuals with Leukoaraiosis.” 2016. Doctoral Dissertation, University of Toronto. Accessed January 24, 2021. http://hdl.handle.net/1807/73143.

MLA Handbook (7^th Edition):

Sam, Kevin. “Diminished Cerebrovascular Reserve in the Cerebral White Matter of Elderly Individuals with Leukoaraiosis.” 2016. Web. 24 Jan 2021.

Vancouver:

Sam K. Diminished Cerebrovascular Reserve in the Cerebral White Matter of Elderly Individuals with Leukoaraiosis. [Internet] [Doctoral dissertation]. University of Toronto; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1807/73143.

Council of Science Editors:

Sam K. Diminished Cerebrovascular Reserve in the Cerebral White Matter of Elderly Individuals with Leukoaraiosis. [Doctoral Dissertation]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/73143

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