subject:(medical imaging)

UCLA

1. Lee, Sungah. Quantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual Patient.

Degree: Oral Biology, 2017, UCLA

URL: http://www.escholarship.org/uc/item/6m022427

► ABSTRACT OF THE THESISQuantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual PatientBy Sungah Lee Master of Science in Oral Biology… (more)

▼ ABSTRACT OF THE THESISQuantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual PatientBy Sungah Lee Master of Science in Oral Biology University of California Los Angeles, 2017Background: Recent introduction of three dimensional facial images allows us to have access to more information than ever before, creating the potential for more accurate facial evaluation. In orthodontic diagnostics and treatment planning, facial soft tissue analysis has been broadly recognized as a critical factor leading to successful orthodontic treatment outcomes. Even though facial soft tissue is by nature dynamic data and facial expressions are the dynamic movement of these facial soft tissue, 2D static photos have been used in facial analysis in orthodontics. Our overall objective is to develop an innovative method to quantifies the dynamic movements of soft tissue in 3D during facial expressions, which could further not only orthodontics field but also other health care fields. Methods: Dynamic system to quantify 3D facial soft tissue movement was explored through investigation into physics and mathematical modeling. 3dMD facial images of 29 participants at five different time points (T1, T2, T3, T4, T5) during smiling were collected from starting of each facial expression till the end. Smiling patterns were classified and only homogenous samples were finally included. 3D meshes were processed for vertex correspondence, and 28 landmarks were tracked. Data analyses were performed via MATLAB. Average smiling faces at five different time points were generated. Average displacement vectors between each time point were computed, producing the average smiling movement trajectories. Statistical p values of all landmarks in three-dimension were computed to show the significance level of displacement. Color-coded displacement vector p maps were generated for movement of each landmark over the 5 time points. Results: 3D meshes of 10 participants at five different time points (T1, T2, T3, T4, T5) while smiling were finally included in our study. 28 landmarks were quantitatively tracked and analyzed. Average smiling faces at five time points, average displacement vectors between each time point, and statistical p values of all landmarks in 3D were generated. Average movement trajectory while smiling was generated. Corner of lip showed maximum displacement of 6.42 mm (p<~ 0.01) in upward and outward directions. Statistically Significant displacements were shown at most landmarks of oral regions (p<0.05) rather than landmarks of nasal, eye, or eyebrow regions between each time point. Conclusion: This is the first study to demonstrate that dynamic 3D movements of facial expressions can be quantitatively tracked and analyzed, offering an added dimension to the diagnosis and treatment planning of patients. This new approach which can allow us to analyze patients’ facial expressions in three dimension would shift the diagnostic paradigms currently used in craniofacial analysis, that is, 2D static facial…

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Lee, S. (2017). Quantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual Patient. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/6m022427

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):

Lee, Sungah. “Quantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual Patient.” 2017. Thesis, UCLA. Accessed March 07, 2021. http://www.escholarship.org/uc/item/6m022427.

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

MLA Handbook (7^th Edition):

Lee, Sungah. “Quantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual Patient.” 2017. Web. 07 Mar 2021.

Vancouver:

Lee S. Quantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual Patient. [Internet] [Thesis]. UCLA; 2017. [cited 2021 Mar 07]. Available from: http://www.escholarship.org/uc/item/6m022427.

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

Council of Science Editors:

Lee S. Quantitative Analysis of Human Facial Expression: Moving Towards The Creation of a Virtual Patient. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/6m022427

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

2. Punugu, Venkatapavani Pallavi. Machine Learning in Neuroimaging.

Degree: 2017, State University of New York at Buffalo

URL: http://pqdtopen.proquest.com/#viewpdf?dispub=10284048

► The application of machine learning algorithms to analyze and determine disease related patterns in neuroimaging has emerged to be of extreme interest in Computer-Aided… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Punugu, V. P. (2017). Machine Learning in Neuroimaging. (Thesis). State University of New York at Buffalo. Retrieved from http://pqdtopen.proquest.com/#viewpdf?dispub=10284048

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):

Punugu, Venkatapavani Pallavi. “Machine Learning in Neuroimaging.” 2017. Thesis, State University of New York at Buffalo. Accessed March 07, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=10284048.

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

MLA Handbook (7^th Edition):

Punugu, Venkatapavani Pallavi. “Machine Learning in Neuroimaging.” 2017. Web. 07 Mar 2021.

Vancouver:

Punugu VP. Machine Learning in Neuroimaging. [Internet] [Thesis]. State University of New York at Buffalo; 2017. [cited 2021 Mar 07]. Available from: http://pqdtopen.proquest.com/#viewpdf?dispub=10284048.

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

Council of Science Editors:

Punugu VP. Machine Learning in Neuroimaging. [Thesis]. State University of New York at Buffalo; 2017. Available from: http://pqdtopen.proquest.com/#viewpdf?dispub=10284048

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

3. Miles, Jadrian. A Multi-Scale Model of Brain White-Matter Structure and Its Fitting Method for Diffusion MRI.

Degree: PhD, Computer Science, 2015, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:419545/

► This dissertation describes three primary contributions to the field of medical imaging: (1) a mathematical model ("Blockhead") of the macroscopic and microscopic structure of the… (more)

Subjects/Keywords: Medical Imaging

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APA (6^th Edition):

Miles, J. (2015). A Multi-Scale Model of Brain White-Matter Structure and Its Fitting Method for Diffusion MRI. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419545/

Chicago Manual of Style (16^th Edition):

Miles, Jadrian. “A Multi-Scale Model of Brain White-Matter Structure and Its Fitting Method for Diffusion MRI.” 2015. Doctoral Dissertation, Brown University. Accessed March 07, 2021. https://repository.library.brown.edu/studio/item/bdr:419545/.

MLA Handbook (7^th Edition):

Miles, Jadrian. “A Multi-Scale Model of Brain White-Matter Structure and Its Fitting Method for Diffusion MRI.” 2015. Web. 07 Mar 2021.

Vancouver:

Miles J. A Multi-Scale Model of Brain White-Matter Structure and Its Fitting Method for Diffusion MRI. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2021 Mar 07]. Available from: https://repository.library.brown.edu/studio/item/bdr:419545/.

Council of Science Editors:

Miles J. A Multi-Scale Model of Brain White-Matter Structure and Its Fitting Method for Diffusion MRI. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419545/

Boston University

4. Hendry, Owen MacLeod. Quantitative T1 mapping in cardiomyopathy.

Degree: MS, Bioimaging, 2014, Boston University

URL: http://hdl.handle.net/2144/15333

► Recent advancements in techniques of Cardiac Magnetic Resonance Imaging provide extended quantitative measurements of myocardial T1. Important tissue characteristics can be tracked noninvasively to allow… (more)

▼ Recent advancements in techniques of Cardiac Magnetic Resonance Imaging provide extended quantitative measurements of myocardial T1. Important tissue characteristics can be tracked noninvasively to allow practitioners to quantify important properties of regional and global myocardium function. Quantification of these T1 measures involves the compilation of multiple images to create a T1 recovery curve, providing a map that estimates the T1 value as an encoded pixel value. After contrast injection, the data is compared with native (no applied contrast agent) T1 to examine myocardial disease involving the interstitium as well as the extracellular volume fraction. Myocardial T1 mapping is an emerging biomarker for quantification of myocardial disease (since an important indicator of heart disease is the expansion of myocardial interstitial space, as is fibrosis). This paper explores the detection and quantification of cardiac involvement using delayed gadolinium enhancement combined with T1 mapping and myocardial extracellular volume fraction. It extends the research being conducted on Cardiac sarcoidosis, an important cardiomyopathy. Cardiac sarcoidosis is a multisystem granulomatous disease of unknown etiology. Cardiac MR is able to detect the active, inflammatory phase of the disease as well as the chronic phase where scarring and fibrosis are dominant. The use of gadolinium-based contrast agents improves the ability to discriminate ischemic from nonischemic etiologies, owing to different patterns among the various nonischemic cardiomyopathies. Since gadolinium shortens T1 relaxation time, the result is a brighter signal intensity in areas with increased interstitial space on inversion recovery T1-weighted sequences. The 1.5 Tesla Philips Achieva XR Scanner was used to collect the pre- and post- contrast images from five anonymous patients (subjects), following the MOLLI protocol. These images were stacked and run through MRMap, which creates parametric image maps of the MOLLI data. Data was graphed employing the Gado Partition Coefficient.

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Hendry, O. M. (2014). Quantitative T1 mapping in cardiomyopathy. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/15333

Chicago Manual of Style (16^th Edition):

Hendry, Owen MacLeod. “Quantitative T1 mapping in cardiomyopathy.” 2014. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/15333.

MLA Handbook (7^th Edition):

Hendry, Owen MacLeod. “Quantitative T1 mapping in cardiomyopathy.” 2014. Web. 07 Mar 2021.

Vancouver:

Hendry OM. Quantitative T1 mapping in cardiomyopathy. [Internet] [Masters thesis]. Boston University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/15333.

Council of Science Editors:

Hendry OM. Quantitative T1 mapping in cardiomyopathy. [Masters Thesis]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15333

Boston University

5. Dunn, Matthew Christopher. Multiparametric 3 Tesla magnetic resonance imaging as a clinical tool to characterize prostate cancer.

Degree: MS, Bioimaging, 2014, Boston University

URL: http://hdl.handle.net/2144/15343

► Scientists have come a long way in understanding prostate cancer as a disease and how its progression affects the men who develop it. Prostate adenocarcinoma… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Dunn, M. C. (2014). Multiparametric 3 Tesla magnetic resonance imaging as a clinical tool to characterize prostate cancer. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/15343

Chicago Manual of Style (16^th Edition):

Dunn, Matthew Christopher. “Multiparametric 3 Tesla magnetic resonance imaging as a clinical tool to characterize prostate cancer.” 2014. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/15343.

MLA Handbook (7^th Edition):

Dunn, Matthew Christopher. “Multiparametric 3 Tesla magnetic resonance imaging as a clinical tool to characterize prostate cancer.” 2014. Web. 07 Mar 2021.

Vancouver:

Dunn MC. Multiparametric 3 Tesla magnetic resonance imaging as a clinical tool to characterize prostate cancer. [Internet] [Masters thesis]. Boston University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/15343.

Council of Science Editors:

Dunn MC. Multiparametric 3 Tesla magnetic resonance imaging as a clinical tool to characterize prostate cancer. [Masters Thesis]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15343

Boston University

6. Aisaborhale, Ehimen Edward. Relationship between primary liver hepatocellular carcinoma volumes on portal-venous phase CT imaging.

Degree: MS, Bioimaging, 2014, Boston University

URL: http://hdl.handle.net/2144/15388

► The liver is an important organ in the body. It is located under the rib cage on the right side. The liver performs many important… (more)

▼ The liver is an important organ in the body. It is located under the rib cage on the right side. The liver performs many important functions, it processes food for nutrients that the body requires and also helps in the detoxification of harmful materials. Like any organ in the body, the liver is susceptible to diseases such as liver cancer. Liver cancer is the growth and spread of unhealthy cells of the liver. There are several risk factor for liver cancer, these are: Cirrhosis (scarring of the liver), long term hepatitis B and hepatitis C infection and diabetes patients with long term drinking problem. Hepatocellular Carcinoma is the most common form of liver cancer in adult population which begins in the main type of liver cell (hepatocyte). Because Hepatocellular carcinoma starts from the primary liver cell itself (hepatocytes), as such it is a primary liver cancer. About 30,000 Americans are diagnosed with primary liver cancer yearly, making it an important disease that plaques our society and therefore needs proper diagnosis. In clinical evaluation of primary liver cancer such as HCC, the use of medical imaging technology has been commonplace. Most medical facilities across the country and globally typically use Computed Tomography (CT) and/or Magnetic Resonance Imaging (MRI) in the diagnosis and treatment follow up of Hepatocellular carcinoma. The medical imaging devices are used to determine the extent and volume of the tumor of the cancerous liver cells. In clinical trials involving the imaging of HCC tumors, the typical protocol used in the CT imaging of HCC involves the use of contrast enhanced dual phase acquisition. This approach is based on the physiology of the blood flow through the liver. Since HCC tumors are hypervascular in nature, it would thus be more apparent in the arterial phase of an acquired CT image. The aforementioned characteristic was tested with a volume paradigm which measure and compare the volume of both the arterial phase and portal venous phase acquired images in the experiment. Overall this study helps in furthering goals to reduce the patient dose from the x-ray tubes during clinical trials. The results of the experiments (n = 19, t = 0.67, p = 0.26), indicates no significant difference between the volume of the HCC tumor images acquired both in the AP and PVP.

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Aisaborhale, E. E. (2014). Relationship between primary liver hepatocellular carcinoma volumes on portal-venous phase CT imaging. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/15388

Chicago Manual of Style (16^th Edition):

Aisaborhale, Ehimen Edward. “Relationship between primary liver hepatocellular carcinoma volumes on portal-venous phase CT imaging.” 2014. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/15388.

MLA Handbook (7^th Edition):

Aisaborhale, Ehimen Edward. “Relationship between primary liver hepatocellular carcinoma volumes on portal-venous phase CT imaging.” 2014. Web. 07 Mar 2021.

Vancouver:

Aisaborhale EE. Relationship between primary liver hepatocellular carcinoma volumes on portal-venous phase CT imaging. [Internet] [Masters thesis]. Boston University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/15388.

Council of Science Editors:

Aisaborhale EE. Relationship between primary liver hepatocellular carcinoma volumes on portal-venous phase CT imaging. [Masters Thesis]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15388

Boston University

7. Nadershahh, Mohammed. Assessment of the healing of vascularized fibula bone graft in the reconstruction of the mandible using computed tomography.

Degree: MS, Bioimaging, 2015, Boston University

URL: http://hdl.handle.net/2144/15714

► PURPOSE: Vascularized bone graft has become the standard for the reconstruction of large Mandibular defects, those with soft tissue defect or after radiation to the… (more)

▼ PURPOSE: Vascularized bone graft has become the standard for the reconstruction of large Mandibular defects, those with soft tissue defect or after radiation to the area. Fibula free flap represents the workhorse for simultaneous bone and soft tissue reconstruction of the Mandible. The aim of this study is to quantify bone formation, if any, in the graft-mandible and graft-graft gaps using computed tomography (CT) scans by developing a reliable threshold-based post-imaging processing tool, compare the healing of fibula to the mandible to the healing of the fibula to itself using this tool, and to investigate potential factors affecting bone formation specifically the linear distance between the bony edges during surgery. PATIENTS AND METHODS: This is a multicenter study centered at Boston medical center. DICOM images were analyzed using Osirix software (V.3.7.1, 32 bits) after blinding identifying data. The inclusion criteria for this study: 1) patients received a vascularized Fibula free flap for Mandible reconstruction; 2) patients who have at least 2 postoperative CT scans with at least one month interval; 3) the first CT is within the first 3 months after the surgery; 4) no signs of clinical failure of the graft or hardware failure. The reliability of this technique was tested using two independent blinded examiners. Each blinded examiner tested each scan three times. Pearson's correlation coefficient was used to assess inter-rater reliability while the mean, Standard deviation error, and standard deviation of the mean assessed the intra-rater reliability. Paired T-test was used to compare the amount of volume change over time in participants who had both graft-graft gaps and graft-Mandible gaps. Multiple linear regressions were used to investigate the relation between the initial linear distance between the bony edges of the gap, age, and time interval against the percentage of change in gap volume. All statistics were conducted using Microsoft excel software and SPSS. RESULTS: Twenty bony gaps from nine subjects were included in this study. This includes five graft-graft gaps and fifteen graft-Mandible gaps. The first post-operative CT scan was done within first three months after surgery (range= 2-77 days, mean= 22.2 days). Each subject had two CT scans with time interval ranging between 33 days to 390 days (mean= 191.1 days). The subjects' age ranged between 30 and 72 years (mean= 56.1 years). 12 bony gaps were used for assessing inter-rater and intra-rater reliability. The Pearson's correlation coefficient for inter-rater reliability was 0.94. Inter-reliability standard deviation error average was 0.03 and the standard error of the mean average was 0.003. Two-tailed paired T-test comparing the interval change in volume of graft-graft gaps to graft-Mandible gaps was 0.304. We found a significant negative correlation between absolute volume change and distance in mm (Pearson =-0.476, p-value=0.017). 22.7% of the variability in volume change can be explained by the initial linear distance between the bony…

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Nadershahh, M. (2015). Assessment of the healing of vascularized fibula bone graft in the reconstruction of the mandible using computed tomography. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/15714

Chicago Manual of Style (16^th Edition):

Nadershahh, Mohammed. “Assessment of the healing of vascularized fibula bone graft in the reconstruction of the mandible using computed tomography.” 2015. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/15714.

MLA Handbook (7^th Edition):

Nadershahh, Mohammed. “Assessment of the healing of vascularized fibula bone graft in the reconstruction of the mandible using computed tomography.” 2015. Web. 07 Mar 2021.

Vancouver:

Nadershahh M. Assessment of the healing of vascularized fibula bone graft in the reconstruction of the mandible using computed tomography. [Internet] [Masters thesis]. Boston University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/15714.

Council of Science Editors:

Nadershahh M. Assessment of the healing of vascularized fibula bone graft in the reconstruction of the mandible using computed tomography. [Masters Thesis]. Boston University; 2015. Available from: http://hdl.handle.net/2144/15714

Boston University

8. Rahimpour, Yashar. Compressed sensing and undersampling k-space.

Degree: MS, Bioimaging, 2015, Boston University

URL: http://hdl.handle.net/2144/16257

► In the field of medical imaging, one of the most important concepts consists of the creation of the image from an obtained signal. The creation… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Rahimpour, Y. (2015). Compressed sensing and undersampling k-space. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/16257

Chicago Manual of Style (16^th Edition):

Rahimpour, Yashar. “Compressed sensing and undersampling k-space.” 2015. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/16257.

MLA Handbook (7^th Edition):

Rahimpour, Yashar. “Compressed sensing and undersampling k-space.” 2015. Web. 07 Mar 2021.

Vancouver:

Rahimpour Y. Compressed sensing and undersampling k-space. [Internet] [Masters thesis]. Boston University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/16257.

Council of Science Editors:

Rahimpour Y. Compressed sensing and undersampling k-space. [Masters Thesis]. Boston University; 2015. Available from: http://hdl.handle.net/2144/16257

Boston University

9. Banaja, Duaa. Improved detection and characterization of obscured central gland tumors of the prostate: texture analysis of non contrast and contrast enhanced MR images for differentiation of benign prostate hyperplasia (BPH) nodules and cancer.

Degree: MS, Bioimaging, 2016, Boston University

URL: http://hdl.handle.net/2144/19200

► OBJECTIVE: The purpose of this study to assess the value of texture analysis (TA) for prostate cancer (PCa) detection on T2 weighted images (T2WI) and… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Banaja, D. (2016). Improved detection and characterization of obscured central gland tumors of the prostate: texture analysis of non contrast and contrast enhanced MR images for differentiation of benign prostate hyperplasia (BPH) nodules and cancer. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/19200

Chicago Manual of Style (16^th Edition):

Banaja, Duaa. “Improved detection and characterization of obscured central gland tumors of the prostate: texture analysis of non contrast and contrast enhanced MR images for differentiation of benign prostate hyperplasia (BPH) nodules and cancer.” 2016. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/19200.

MLA Handbook (7^th Edition):

Banaja, Duaa. “Improved detection and characterization of obscured central gland tumors of the prostate: texture analysis of non contrast and contrast enhanced MR images for differentiation of benign prostate hyperplasia (BPH) nodules and cancer.” 2016. Web. 07 Mar 2021.

Vancouver:

Banaja D. Improved detection and characterization of obscured central gland tumors of the prostate: texture analysis of non contrast and contrast enhanced MR images for differentiation of benign prostate hyperplasia (BPH) nodules and cancer. [Internet] [Masters thesis]. Boston University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/19200.

Council of Science Editors:

Banaja D. Improved detection and characterization of obscured central gland tumors of the prostate: texture analysis of non contrast and contrast enhanced MR images for differentiation of benign prostate hyperplasia (BPH) nodules and cancer. [Masters Thesis]. Boston University; 2016. Available from: http://hdl.handle.net/2144/19200

Boston University

10. Cheng, Anh-Dao M. Optic nerve atrophy: a comparison of two imaging modalities to evaluate their sensitivity for diagnostic purposes.

Degree: MS, Medical Sciences, 2017, Boston University

URL: http://hdl.handle.net/2144/23757

► PURPOSE: To evaluate the efficacy of MRI as a diagnostic tool by comparing it to OCT in patients with suspected optic nerve atrophy. Currently, MRI… (more)

▼ PURPOSE: To evaluate the efficacy of MRI as a diagnostic tool by comparing it to OCT in patients with suspected optic nerve atrophy. Currently, MRI is an established noninvasive imaging modality for tumors and inflammatory tissues; however their use in optic nerve atrophy is limited to advanced cases. Our study investigates the use of OCT, a more sensitive imaging modality, compared to MRI as a potential adjunct to the clinical diagnosis of optic nerve atrophy. METHODS: This retrospective study analyzed 27 medical records (40 eyes) of patients with suspected optic nerve atrophy referred to the Neuro-ophthalmology Clinic of the Beth Israel Deaconess Medical Center (2009-2016) who had both MR imaging of the orbits and SD-OCT scans. Based on the RNFL thickness obtained from OCT scans, optic atrophy was defined as border, mild, moderate, or severe. MRIs were used to measure the optic nerve area, optic nerve diameter and sheath area of all eyes. From there, the ratio of optic nerve area to sheath area, percent difference in optic nerve diameters in a patient and percent difference in optic nerve areas in a patient were determined. RESULTS: As atrophy worsens, the optic nerve area and sheath area seem to steadily decline. The ratio between the two seems to remain constant (0.27) regardless of degree of atrophy. Focusing on unilateral patients, the percent difference in optic nerve area with mild optic atrophy seemed minimal (14%). It becomes more significant in moderate and severe atrophy cases (56.06% and 26.18% respectively). Overall, there does not seem to be a strong correlation between MRI measurements and OCT RNFL values. CONCLUSIONS: Overall, a strong correlation was not found between MRI measurements and OCT RNFL thickness values. While a general trend existed, there was too much variation to determine cut off points for atrophy based solely on the measurement of a single eye. MRI may be useful in identifying severe and moderate optic nerve atrophy especially in unilateral patients. Once the RNFL thins to about 70 μm, the difference in size is detectable on MRI. For all cases of mild optic atrophy and bilateral moderate atrophy, OCT remains a more reliable imaging diagnostic. Changes in nerve size appear minimal compared to a healthy human. The optic nerve sheath was also shown to decrease in size in cases of atrophy. Future studies with a larger sample size are needed to produce more conclusive results.

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Cheng, A. M. (2017). Optic nerve atrophy: a comparison of two imaging modalities to evaluate their sensitivity for diagnostic purposes. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/23757

Chicago Manual of Style (16^th Edition):

Cheng, Anh-Dao M. “Optic nerve atrophy: a comparison of two imaging modalities to evaluate their sensitivity for diagnostic purposes.” 2017. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/23757.

MLA Handbook (7^th Edition):

Cheng, Anh-Dao M. “Optic nerve atrophy: a comparison of two imaging modalities to evaluate their sensitivity for diagnostic purposes.” 2017. Web. 07 Mar 2021.

Vancouver:

Cheng AM. Optic nerve atrophy: a comparison of two imaging modalities to evaluate their sensitivity for diagnostic purposes. [Internet] [Masters thesis]. Boston University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/23757.

Council of Science Editors:

Cheng AM. Optic nerve atrophy: a comparison of two imaging modalities to evaluate their sensitivity for diagnostic purposes. [Masters Thesis]. Boston University; 2017. Available from: http://hdl.handle.net/2144/23757

Boston University

11. Diamse, Matthew Rey. Alzheimer's-like pathology features in brains of rabbits with inflamed aortic atherosclerotic plaques.

Degree: MS, Nutrition and Metabolism, 2019, Boston University

URL: http://hdl.handle.net/2144/36540

► With the continual growth of the average age of the population and the global rise in obesity, it is important to investigate age related cognitive… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Diamse, M. R. (2019). Alzheimer's-like pathology features in brains of rabbits with inflamed aortic atherosclerotic plaques. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/36540

Chicago Manual of Style (16^th Edition):

Diamse, Matthew Rey. “Alzheimer's-like pathology features in brains of rabbits with inflamed aortic atherosclerotic plaques.” 2019. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/36540.

MLA Handbook (7^th Edition):

Diamse, Matthew Rey. “Alzheimer's-like pathology features in brains of rabbits with inflamed aortic atherosclerotic plaques.” 2019. Web. 07 Mar 2021.

Vancouver:

Diamse MR. Alzheimer's-like pathology features in brains of rabbits with inflamed aortic atherosclerotic plaques. [Internet] [Masters thesis]. Boston University; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/36540.

Council of Science Editors:

Diamse MR. Alzheimer's-like pathology features in brains of rabbits with inflamed aortic atherosclerotic plaques. [Masters Thesis]. Boston University; 2019. Available from: http://hdl.handle.net/2144/36540

University of California – San Francisco

12. Li, Elizabeth. ADC as an early indicator of breast cancer response to neoadjuvant treatment.

Degree: Biomedical Imaging, 2015, University of California – San Francisco

URL: http://www.escholarship.org/uc/item/5vj2714t

► Quantitative MRI can accelerate drug development by providing non-invasive methods to determine treatment response. The primary aim of this study is to assess the change… (more)

▼ Quantitative MRI can accelerate drug development by providing non-invasive methods to determine treatment response. The primary aim of this study is to assess the change in normalized apparent diffusion coefficient values (ΔADCN), derived from diffusion-weighted MRI (DWI), as an alternative method to standard dynamic contrast-enhanced (DCE) MRI for assessing response of primary breast tumors to neoadjuvant chemotherapy. Secondary aims are to: assess the influence of image quality scoring on the predictive performance of ΔADCN; test correlations between ΔADCN and change in functional tumor volume (ΔFTV) at early (ΔFTV2) and late (ΔFTV4) time points; and assess ΔADCN of responders versus non-responders. Methods: 134 patients with primary breast cancers 2.5 cm in diameter and high MammaPrint scores were included. 62 and 72 patients received standard and experimental drug regimens respectively. ΔADCN was determined from DW images acquired at baseline and three weeks into chemotherapy. FTV (70% DCE-MRI enhancement at 2.5 minutes post-contrast) was used as an indication of tumor response throughout treatment. Pathologic complete response (pCR) was determined by histopathology following surgery. Whole tumor regions of interest (ROIs) and quality scoring was performed on 126 cases, of which 102 had passing quality scores. Results: The area under the receiver operating characteristic (ROC) curve (AUC) for ΔADCN was 0.653 (95% confidence interval (CI) [0.538, 0.768], p=0.00605). The estimated AUC for ΔFTV2 was not significantly higher than ΔADCN (mean difference: -0.011±0.086, p=0.896). Using a ΔFTV4 cutoff of -97.8% as a surrogate endpoint, the AUC estimates were not significantly greater than 0.5. Image quality did not impact the predictive ability or distribution of ΔADCN, which increased by 0.836% (95% CI [-0.48, 0.026], p=0.34) with quality scoring. ΔADCN was not very correlated with ΔFTV2 or ΔFTV4. ΔADCN increased by 9.74% (95% CI [2.24, 17.51], p=0.012) with response in the full cohort. Summary: These findings suggest that ΔADCN may be similar to ΔFTV2 in predictive performance. While changes in ADC and FTV both reflect changes in tissue properties, they are indicative of independent biological processes. DWI is a promising non-contrast technique that can provide additional information to better predict treatment response.

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Li, E. (2015). ADC as an early indicator of breast cancer response to neoadjuvant treatment. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/5vj2714t

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):

Li, Elizabeth. “ADC as an early indicator of breast cancer response to neoadjuvant treatment.” 2015. Thesis, University of California – San Francisco. Accessed March 07, 2021. http://www.escholarship.org/uc/item/5vj2714t.

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

MLA Handbook (7^th Edition):

Li, Elizabeth. “ADC as an early indicator of breast cancer response to neoadjuvant treatment.” 2015. Web. 07 Mar 2021.

Vancouver:

Li E. ADC as an early indicator of breast cancer response to neoadjuvant treatment. [Internet] [Thesis]. University of California – San Francisco; 2015. [cited 2021 Mar 07]. Available from: http://www.escholarship.org/uc/item/5vj2714t.

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

Council of Science Editors:

Li E. ADC as an early indicator of breast cancer response to neoadjuvant treatment. [Thesis]. University of California – San Francisco; 2015. Available from: http://www.escholarship.org/uc/item/5vj2714t

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

University of California – San Francisco

13. Avadiappan, Sivakami. Simultaneous Visualization of Arteries, Veins, and Cerebral Microbleeds from 7T MRA-SWI Images for Assessing the Effects of Radiation Therapy on the Brain.

Degree: Biomedical Imaging, 2017, University of California – San Francisco

URL: http://www.escholarship.org/uc/item/9gn6c0h0

► The use of radiation therapy for treatment of brain tumor is controversial due to its long-term effects on neurocognitive function, especially in pediatric patients. Developing… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Avadiappan, S. (2017). Simultaneous Visualization of Arteries, Veins, and Cerebral Microbleeds from 7T MRA-SWI Images for Assessing the Effects of Radiation Therapy on the Brain. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/9gn6c0h0

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):

Avadiappan, Sivakami. “Simultaneous Visualization of Arteries, Veins, and Cerebral Microbleeds from 7T MRA-SWI Images for Assessing the Effects of Radiation Therapy on the Brain.” 2017. Thesis, University of California – San Francisco. Accessed March 07, 2021. http://www.escholarship.org/uc/item/9gn6c0h0.

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

MLA Handbook (7^th Edition):

Avadiappan, Sivakami. “Simultaneous Visualization of Arteries, Veins, and Cerebral Microbleeds from 7T MRA-SWI Images for Assessing the Effects of Radiation Therapy on the Brain.” 2017. Web. 07 Mar 2021.

Vancouver:

Avadiappan S. Simultaneous Visualization of Arteries, Veins, and Cerebral Microbleeds from 7T MRA-SWI Images for Assessing the Effects of Radiation Therapy on the Brain. [Internet] [Thesis]. University of California – San Francisco; 2017. [cited 2021 Mar 07]. Available from: http://www.escholarship.org/uc/item/9gn6c0h0.

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

Council of Science Editors:

Avadiappan S. Simultaneous Visualization of Arteries, Veins, and Cerebral Microbleeds from 7T MRA-SWI Images for Assessing the Effects of Radiation Therapy on the Brain. [Thesis]. University of California – San Francisco; 2017. Available from: http://www.escholarship.org/uc/item/9gn6c0h0

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

Boston University

14. Kaifi, Reham Essam. Monitoring dynamically the gelation phase transition of agarose with diffusion QMRI as a function of temperature at 3T.

Degree: MS, Bioimaging, 2014, Boston University

URL: http://hdl.handle.net/2144/14315

► The purpose of this experiment is to observe the diffusion coefficient of agarose solution as a function of temperature during the process of gel formation.… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Kaifi, R. E. (2014). Monitoring dynamically the gelation phase transition of agarose with diffusion QMRI as a function of temperature at 3T. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/14315

Chicago Manual of Style (16^th Edition):

Kaifi, Reham Essam. “Monitoring dynamically the gelation phase transition of agarose with diffusion QMRI as a function of temperature at 3T.” 2014. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/14315.

MLA Handbook (7^th Edition):

Kaifi, Reham Essam. “Monitoring dynamically the gelation phase transition of agarose with diffusion QMRI as a function of temperature at 3T.” 2014. Web. 07 Mar 2021.

Vancouver:

Kaifi RE. Monitoring dynamically the gelation phase transition of agarose with diffusion QMRI as a function of temperature at 3T. [Internet] [Masters thesis]. Boston University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/14315.

Council of Science Editors:

Kaifi RE. Monitoring dynamically the gelation phase transition of agarose with diffusion QMRI as a function of temperature at 3T. [Masters Thesis]. Boston University; 2014. Available from: http://hdl.handle.net/2144/14315

University of Toledo Health Science Campus

15. Aldokhail, Abdullah M. Automated Signal to Noise Ratio Analysis for Magnetic Resonance Imaging Using a Noise Distribution Model.

Degree: MSBS, Biomedical Sciences (Medical Physics: Diagnostic Radiology), 2017, University of Toledo Health Science Campus

URL: http://rave.ohiolink.edu/etdc/view?acc_num=mco1469557255

► Signal to noise ratio (SNR) is a fundamental index of image quality in Magnetic Resonance Imaging (MRI) and it has traditionally been considered as a… (more)

Subjects/Keywords: Medical Imaging

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APA (6^th Edition):

Aldokhail, A. M. (2017). Automated Signal to Noise Ratio Analysis for Magnetic Resonance Imaging Using a Noise Distribution Model. (Masters Thesis). University of Toledo Health Science Campus. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=mco1469557255

Chicago Manual of Style (16^th Edition):

Aldokhail, Abdullah M. “Automated Signal to Noise Ratio Analysis for Magnetic Resonance Imaging Using a Noise Distribution Model.” 2017. Masters Thesis, University of Toledo Health Science Campus. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=mco1469557255.

MLA Handbook (7^th Edition):

Aldokhail, Abdullah M. “Automated Signal to Noise Ratio Analysis for Magnetic Resonance Imaging Using a Noise Distribution Model.” 2017. Web. 07 Mar 2021.

Vancouver:

Aldokhail AM. Automated Signal to Noise Ratio Analysis for Magnetic Resonance Imaging Using a Noise Distribution Model. [Internet] [Masters thesis]. University of Toledo Health Science Campus; 2017. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=mco1469557255.

Council of Science Editors:

Aldokhail AM. Automated Signal to Noise Ratio Analysis for Magnetic Resonance Imaging Using a Noise Distribution Model. [Masters Thesis]. University of Toledo Health Science Campus; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=mco1469557255

Cleveland State University

16. Morgan, Ashraf. Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm.

Degree: Doctor of Engineering, Washkewicz College of Engineering, 2016, Cleveland State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731

► The need for an accurate and reliable way for measuring patient dose in multi-row detector computed tomography (MDCT) has increased significantly. This research was focusing… (more)

▼ The need for an accurate and reliable way for measuring patient dose in multi-row detector computed tomography (MDCT) has increased significantly. This research was focusing on the possibility of measuring CT dose in air to estimate Computed Tomography Dose Index (CTDI) for routine quality control purposes. New elliptic CTDI phantom that better represent human geometry was manufactured for investigating the effect of the subject shape on measured CTDI. Monte Carlo simulation was utilized in order to determine the dose distribution in comparison to the traditional cylindrical CTDI phantom. This research also investigated the effect of Siemens health care newly developed iMAR (iterative metal artifact reduction) algorithm, arthroplasty phantom was designed and manufactured that purpose. The design of new phantoms was part of the research as they mimic the human geometry more than the existing CTDI phantom. The standard CTDI phantom is a right cylinder that does not adequately represent the geometry of the majority of the patient population. Any dose reduction algorithm that is used during patient scan will not be utilized when scanning the CTDI phantom, so a better-designed phantom will allow the use of dose reduction algorithms when measuring dose, which leads to better dose estimation and/or better understanding of dose delivery. Doses from a standard CTDI phantom and the newly-designed phantoms were compared to doses measured in air. Iterative reconstruction is a promising technique in MDCT dose reduction and artifacts correction. Iterative reconstruction algorithms have been developed to address specific imaging tasks as is the case with Iterative Metal Artifact Reduction or iMAR which was developed by Siemens and is to be in use with the company’s future computed tomography platform. The goal of iMAR is to reduce metal artifact when imaging patients with metal implants and recover CT number of tissues adjacent to the implant. This research evaluated iMAR capability of recovering CT numbers and reducing noise. Also, the use of iMAR should allow using lower tube voltage instead of 140 KVp which is used frequently to image patients with shoulder implants. The evaluations of image quality and dose reduction were carried out using an arthroplasty phantom. Advisors/Committee Members: Dong, Frank (Committee Chair).

Subjects/Keywords: Medical Imaging

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APA (6^th Edition):

Morgan, A. (2016). Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm. (Doctoral Dissertation). Cleveland State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731

Chicago Manual of Style (16^th Edition):

Morgan, Ashraf. “Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm.” 2016. Doctoral Dissertation, Cleveland State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731.

MLA Handbook (7^th Edition):

Morgan, Ashraf. “Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm.” 2016. Web. 07 Mar 2021.

Vancouver:

Morgan A. Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm. [Internet] [Doctoral dissertation]. Cleveland State University; 2016. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731.

Council of Science Editors:

Morgan A. Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm. [Doctoral Dissertation]. Cleveland State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731

Boston University

17. Carroll, James Peter. Predicting sleep stages with machine learning and wearable byteflies sensor dots: a pilot study.

Degree: MS, Bioimaging, 2020, Boston University

URL: http://hdl.handle.net/2144/42087

► The conventional method for quantifying sleep is through the use of Polysomnography (PSG) and a trained human sleep scorer by observing and evaluating the output… (more)

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Carroll, J. P. (2020). Predicting sleep stages with machine learning and wearable byteflies sensor dots: a pilot study. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/42087

Chicago Manual of Style (16^th Edition):

Carroll, James Peter. “Predicting sleep stages with machine learning and wearable byteflies sensor dots: a pilot study.” 2020. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/42087.

MLA Handbook (7^th Edition):

Carroll, James Peter. “Predicting sleep stages with machine learning and wearable byteflies sensor dots: a pilot study.” 2020. Web. 07 Mar 2021.

Vancouver:

Carroll JP. Predicting sleep stages with machine learning and wearable byteflies sensor dots: a pilot study. [Internet] [Masters thesis]. Boston University; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/42087.

Council of Science Editors:

Carroll JP. Predicting sleep stages with machine learning and wearable byteflies sensor dots: a pilot study. [Masters Thesis]. Boston University; 2020. Available from: http://hdl.handle.net/2144/42087

Duke University

18. Soltanian-Zadeh, Somayyeh. Statistical and Deep Learning Frameworks for High Throughput Neuronal Signal and Image Processing .

Degree: 2020, Duke University

URL: http://hdl.handle.net/10161/21505

► Quantitative analysis of the central nervous system (CNS) - comprised of the brain, the spinal cord, and the eyes - for a deeper intuition… (more)

▼ Quantitative analysis of the central nervous system (CNS) - comprised of the brain, the spinal cord, and the eyes - for a deeper intuition into its function often requires in vivo visualization of its microscopic structures. For the brain, calcium imaging using genetically encoded calcium indicators (GECIs) allows targeted, large-scale imaging of neuronal populations with cellular resolution in animals. Combined with closed-loop optogenetic control of single cells, neuroscientists can potentially test population-based models of the underlying neuronal system, adding a significant body of knowledge to the field. Realization of a closed-loop optical neuronal control system currently lacks computational frameworks (e.g., neuron segmentation) that drive the system’s components based on recent data. Current neuron segmentation methods either require the acquisition of the full movie or are unable to reliably identify active neurons. On another front, in vivo visualization of retinal cells has become possible with the incorporation of adaptive optics (AO) into existing retinal imaging systems, such as optical coherence tomography (OCT). A complete morphometric analysis of the living human retina at cellular level could potentially improve diagnosis, treatment planning, and monitoring of retinal diseases. The current standard approach for quantifying ganglion cells (GCs; one of the fundamental cell types for vision) from AO-OCT volumes is manual, making the task highly subjective, time consuming, and thus not feasible for large-scale studies and clinical use. This dissertation describes the development of computational frameworks for accurate analysis of neurons from high-resolution optical images of the brain and the retina. In part 1, a statistical and information theoretic framework was developed for quantifying the resolution limit and the Cramer Rao lower bound (CRB) in detecting closely timed neuronal spikes from two-photon calcium imaging recordings. Monte-Carlo simulations with biologically derived parameters were used to numerically calculate the resolution limit and compare the performance of the optimal estimators with the CRB. Additionally, we applied our detector to distinguish overlapping transients from experimentally obtained calcium imaging data. In part 2, a fast and robust framework was developed to automatically segment active neurons from two-photon calcium imaging recordings. A convolutional neural network (CNN) is at the core of the framework which exploits the spatiotemporal information in the recorded movies. The method is validated using two separate online datasets and its performance is compared against other state-of-the-art techniques. In part 3, the focus is shifted to analyzing AO-OCT images of the human retina. We developed a weakly-supervised deep learning-based method to automatically segment GCs in the AO-OCT volumetric images. We validated the performance of our framework using images from healthy and glaucoma subjects acquired with two different imagers… Advisors/Committee Members: Farsiu, Sina (advisor).

Subjects/Keywords: Medical imaging

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APA (6^th Edition):

Soltanian-Zadeh, S. (2020). Statistical and Deep Learning Frameworks for High Throughput Neuronal Signal and Image Processing . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/21505

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):

Soltanian-Zadeh, Somayyeh. “Statistical and Deep Learning Frameworks for High Throughput Neuronal Signal and Image Processing .” 2020. Thesis, Duke University. Accessed March 07, 2021. http://hdl.handle.net/10161/21505.

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

MLA Handbook (7^th Edition):

Soltanian-Zadeh, Somayyeh. “Statistical and Deep Learning Frameworks for High Throughput Neuronal Signal and Image Processing .” 2020. Web. 07 Mar 2021.

Vancouver:

Soltanian-Zadeh S. Statistical and Deep Learning Frameworks for High Throughput Neuronal Signal and Image Processing . [Internet] [Thesis]. Duke University; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10161/21505.

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

Council of Science Editors:

Soltanian-Zadeh S. Statistical and Deep Learning Frameworks for High Throughput Neuronal Signal and Image Processing . [Thesis]. Duke University; 2020. Available from: http://hdl.handle.net/10161/21505

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

Wayne State University

19. Price, Ryan Glen. Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation.

Degree: 2016, Wayne State University

URL: http://pqdtopen.proquest.com/#viewpdf?dispub=10153444

► While MR-only treatment planning has shown promise, there are still several well-known challenges that are currently limiting widespread clinical implementation. Firstly, MR images are… (more)

▼ While MR-only treatment planning has shown promise, there are still several well-known challenges that are currently limiting widespread clinical implementation. Firstly, MR images are affected by both patient-induced and system-level geometric distortions that can significantly degrade treatment planning accuracy. In addition, the availability of comprehensive distortion analysis software is currently limited. Also while many groups have been working toward a synthetic CT solution, further study is needed on the implementation of synCTs as the reference datasets for linac-based image-guided radiation therapy (IGRT) to help determine their robustness in an MR-only workflow. To determine candidate materials for phantom and software development, 1.0 T MR and CT images were acquired of twelve urethane foam samples of various densities and strengths. Samples were precision machined to accommodate 6 mm diameter paintballs used as landmarks. Final material candidates were selected by balancing strength, machinability, weight, and cost. Bore sizes and minimum aperture width resulting from couch position were tabulated from the literature. Bore geometry and couch position were simulated using MATLAB to generate machine-specific models to optimize the phantom build. Previously developed software for distortion characterization was modified for several magnet geometries, compared against previously published 1.0 T results, and integrated into the 3DSlicer application platform. To evaluate the performance of synthetic CTs in an image guided workflow, magnetic resonance simulation and CT simulation images were acquired of an anthropomorphic skull phantom and 12 patient brain cancer cases. SynCTs were generated using fluid attenuation inversion recovery, ultrashort echo time, and Dixon data sets through a voxel-based weighted summation of 5 tissue classifications. The DRRs were generated from the phantom synCT, and geometric fidelity was assessed relative to CT-generated DRRs through bounding box and landmark analysis. An offline retrospective analysis was conducted to register cone beam CTs to synCTs and CTs using automated rigid registration in the treatment planning system. Planar MV and KV images were rigidly registered to synCT and CT DRRs using an in-house script. Planar and volumetric registration reproducibility was assessed and margin differences were characterized by the van Herk formalism. Over the sampled FOV, non-negligible residual gradient distortions existed as close as 9.5 cm from isocenter, with a maximum distortion of 7.4mm as close as 23 cm from isocenter. Over 6 months, average gradient distortions were -0.07±1.10 mm and 0.10±1.10 mm in the x and y-directions for the transverse plane, 0.03±0.64 and -0.09±0.70 mm in the sagittal plane, and 0.4±1.16 and 0.04±0.40 mm in the coronal plane. After implementing 3D correction maps, distortions were reduced to < 1 pixel width (1mm) for all voxels up to 25 cm from magnet isocenter. …

Subjects/Keywords: Medical imaging; Oncology

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APA (6^th Edition):

Price, R. G. (2016). Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation. (Thesis). Wayne State University. Retrieved from http://pqdtopen.proquest.com/#viewpdf?dispub=10153444

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):

Price, Ryan Glen. “Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation.” 2016. Thesis, Wayne State University. Accessed March 07, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=10153444.

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

MLA Handbook (7^th Edition):

Price, Ryan Glen. “Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation.” 2016. Web. 07 Mar 2021.

Vancouver:

Price RG. Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation. [Internet] [Thesis]. Wayne State University; 2016. [cited 2021 Mar 07]. Available from: http://pqdtopen.proquest.com/#viewpdf?dispub=10153444.

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

Council of Science Editors:

Price RG. Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation. [Thesis]. Wayne State University; 2016. Available from: http://pqdtopen.proquest.com/#viewpdf?dispub=10153444

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

McMaster University

20. Zheng, Xiaoqing. INVESTIGATION OF CADMIUM ZINC TELLURIDE DETECTOR FOR MEDICAL IMAGING APPLICATIONS.

Degree: PhD, 2017, McMaster University

URL: http://hdl.handle.net/11375/23880

►

The wide band gap semiconductor Cadmium Zinc Telluride (CZT) is of recent interest for medical imaging at room temperature. A number of properties, including superior… (more)

▼

The wide band gap semiconductor Cadmium Zinc Telluride (CZT) is of recent interest for medical imaging at room temperature. A number of properties, including superior energy resolution, 3D photon position sensitivity, compact size, direct photon conversion and energy-resolving capability, make CZT a promising candidate for positron emission tomography (PET) and photon-counting X-ray imaging systems. Despite these advantages, drawbacks, such as low mobility of holes, hole trapping, charge sharing effect and characteristic X-ray escape degrade the performance of large volume CZT detectors. In this research, characterization and evaluation of single-crystal CZT photon detector using simulation and experimental studies were done. First, a comprehensive analytical model was developed and implemented by using Monte Carlo simulation and finite element analyses. This model includes the generation and transportation of charge carries within CZT detectors, and it provides useful guidance in optimizing the electrode design and associated readout circuits. Second, the performance of a 20×20×5mm3 CZT crystal with 8×8 pixel anodes and a planar cathode was integrated with readout electronics that can be used to build a PET system was studied. The experiments demonstrate an energy resolution of ~2.26±0.84% full width half maximum (FWHM) at 662 keV and 19±3 ns coincidence time resolution with planar parallel field configuration. A novel algorithm based on charge sharing effect and transient signal analysis targeting the improvement of spatial resolution, was proposed. The sub-pitch spatial resolution is found to be ~30 µm and ~250 µm under signal-to-noise ratio of ~17, for inside and outside the valid range of charge sharing, respectively. Finally, the feasibility of CZT in photon-counting Computed Tomography (CT) was studied by using monoenergetic sources, with a special attention paid to energy degradation due to characteristic X-ray escape and the charge sharing effect. The effects of detector configuration and incident beam location were also investigated. The results show that the pixel size can be reduced to 500 µm without significant count loss (~5%) and charge loss (~15%) for the photo-counting X-ray applications.

Thesis

Doctor of Philosophy (PhD)

Advisors/Committee Members: Deen, M. Jamal, Electrical and Computer Engineering.

Subjects/Keywords: CZT; Medical Imaging

Record Details Similar Records Cite « Share

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

APA (6^th Edition):

Zheng, X. (2017). INVESTIGATION OF CADMIUM ZINC TELLURIDE DETECTOR FOR MEDICAL IMAGING APPLICATIONS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23880

Chicago Manual of Style (16^th Edition):

Zheng, Xiaoqing. “INVESTIGATION OF CADMIUM ZINC TELLURIDE DETECTOR FOR MEDICAL IMAGING APPLICATIONS.” 2017. Doctoral Dissertation, McMaster University. Accessed March 07, 2021. http://hdl.handle.net/11375/23880.

MLA Handbook (7^th Edition):

Zheng, Xiaoqing. “INVESTIGATION OF CADMIUM ZINC TELLURIDE DETECTOR FOR MEDICAL IMAGING APPLICATIONS.” 2017. Web. 07 Mar 2021.

Vancouver:

Zheng X. INVESTIGATION OF CADMIUM ZINC TELLURIDE DETECTOR FOR MEDICAL IMAGING APPLICATIONS. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11375/23880.

Council of Science Editors:

Zheng X. INVESTIGATION OF CADMIUM ZINC TELLURIDE DETECTOR FOR MEDICAL IMAGING APPLICATIONS. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/23880

West Virginia University

21. Sparks, Ronnie J. A Comparison of Airway Dimensions among Different Skeletal Craniofacial Patterns.

Degree: MS, Orthodontics, 2012, West Virginia University

URL: https://doi.org/10.33915/etd.4921 ; https://researchrepository.wvu.edu/etd/4921

► Background and Objectives: Much attention has been given to the association of craniofacial skeletal morphology, upper airway dimension, and respiratory function with patients suffering from… (more)

▼ Background and Objectives: Much attention has been given to the association of craniofacial skeletal morphology, upper airway dimension, and respiratory function with patients suffering from obstructive sleep apnea. However, much of the information gathered on the aforementioned has been established with the use of 2-Dimensional lateral cephalometry. The objective of this study was to investigate upper airway dimensions among different skeletal patterns using cone-beam computed tomography (CBCT). Methods: A sample of 279 patients who seught orthodontic treatment at the University of Nevada Las Vegas School of Dentistry Department of Orthodontics was included in this study. Pre-treatment multi-slice CBCT scans of these subjects were divided into three sagittal groups: Class I subjects with an ANB angle 0° to 5°, Class II subjects with an ANB angle > 5°, and Class III subjects with an ANB angle < 0°. The CBCT scans were also divided into three vertical groups: normodivergent subjects with a mandibular plane angle 22° to 30°, hyperdivergent subjects with a mandibular plane angle > 30°, and hypodivergent subjects with a mandibular plane angle< 22°. The sagittal and vertical groups were analyzed individually (6 groups) and together (9 groups) to determine if the various combination of skeletal patterns has any effects on airway volume, minimum cross sectional area (CSA), and airway shape. CBCT scans were analyzed using Dolphin Imaging 10.5 Premium and Anatomage In VivoDental(TM) software version 5.1. Data were analyzed using ANOV A, Tukey-Kramer, Student t test, and Wilcoxon/Kruskal-Wallis tests. Results: Significant differences were found among the sagittal groups for airway volume and minimum CSA, p < .05. Class III subjects were found to have the largest airway volume and minimum CSA while Class II subjects were found to have the smallest airway volume and minimum CSA. Minimum CSA was found to have an increasing function of airway volume. CSA increased by 10.23 mm2 for every cc increase in airway volume. No significant differences were found among the vertical groups. However, Class II subjects with hyperdivergent skeletal pattern were found to have the smallest airway volume and minimum CSA. No associations were found between the airway shapes and airway volume when evaluating sagittal and/or vertical skeletal patterns. However, wide airway shapes were shown to have the largest airway volume while long airway shapes were shown to have the smallest airways. Conclusions: Airway dimensions can be affected by craniofacial skeletal pattern. Patients with Class II hyperdivergent skeletal pattern may be more prone to obstructive sleep apnea problems. Advisors/Committee Members: Peter Ngan, Chris Martin, Thomas Razmus.

Subjects/Keywords: Dentistry; Medical imaging

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APA (6^th Edition):

Sparks, R. J. (2012). A Comparison of Airway Dimensions among Different Skeletal Craniofacial Patterns. (Thesis). West Virginia University. Retrieved from https://doi.org/10.33915/etd.4921 ; https://researchrepository.wvu.edu/etd/4921

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):

Sparks, Ronnie J. “A Comparison of Airway Dimensions among Different Skeletal Craniofacial Patterns.” 2012. Thesis, West Virginia University. Accessed March 07, 2021. https://doi.org/10.33915/etd.4921 ; https://researchrepository.wvu.edu/etd/4921.

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

MLA Handbook (7^th Edition):

Sparks, Ronnie J. “A Comparison of Airway Dimensions among Different Skeletal Craniofacial Patterns.” 2012. Web. 07 Mar 2021.

Vancouver:

Sparks RJ. A Comparison of Airway Dimensions among Different Skeletal Craniofacial Patterns. [Internet] [Thesis]. West Virginia University; 2012. [cited 2021 Mar 07]. Available from: https://doi.org/10.33915/etd.4921 ; https://researchrepository.wvu.edu/etd/4921.

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

Council of Science Editors:

Sparks RJ. A Comparison of Airway Dimensions among Different Skeletal Craniofacial Patterns. [Thesis]. West Virginia University; 2012. Available from: https://doi.org/10.33915/etd.4921 ; https://researchrepository.wvu.edu/etd/4921

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

West Virginia University

22. Talkington, William James. Early and Late Stage Mechanisms for Vocalization Processing in the Human Auditory System.

Degree: PhD, Neurology, 2013, West Virginia University

URL: https://doi.org/10.33915/etd.218 ; https://researchrepository.wvu.edu/etd/218

► The human auditory system is able to rapidly process incoming acoustic information, actively filtering, categorizing, or suppressing different elements of the incoming acoustic stream. Vocalizations… (more)

▼ The human auditory system is able to rapidly process incoming acoustic information, actively filtering, categorizing, or suppressing different elements of the incoming acoustic stream. Vocalizations produced by other humans (conspecifics) likely represent the most ethologically-relevant sounds encountered by hearing individuals. Subtle acoustic characteristics of these vocalizations aid in determining the identity, emotional state, health, intent, etc. of the producer. The ability to assess vocalizations is likely subserved by a specialized network of structures and functional connections that are optimized for this stimulus class. Early elements of this network would show sensitivity to the most basic acoustic features of these sounds; later elements may show categorically-selective response patterns that represent high-level semantic organization of different classes of vocalizations. A combination of functional magnetic resonance imaging and electrophysiological studies were performed to investigate and describe some of the earlier and later stage mechanisms of conspecific vocalization processing in human auditory cortices. Using fMRI, cortical representations of harmonic signal content were found along the middle superior temporal gyri between primary auditory cortices along Heschl's gyri and the superior temporal sulci, higher-order auditory regions. Additionally, electrophysiological findings also demonstrated a parametric response profile to harmonic signal content. Utilizing a novel class of vocalizations, human-mimicked versions of animal vocalizations, we demonstrated the presence of a left-lateralized cortical vocalization processing hierarchy to conspecific vocalizations, contrary to previous findings describing similar bilateral networks. This hierarchy originated near primary auditory cortices and was further supported by auditory evoked potential data that suggests differential temporal processing dynamics of conspecific human vocalizations versus those produced by other species. Taken together, these results suggest that there are auditory cortical networks that are highly optimized for processing utterances produced by the human vocal tract. Understanding the function and structure of these networks will be critical for advancing the development of novel communicative therapies and the design of future assistive hearing devices. Advisors/Committee Members: James W. Lewis, Albert S. Berrebi, David W. Graham.

Subjects/Keywords: Neurosciences; Medical imaging

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APA (6^th Edition):

Talkington, W. J. (2013). Early and Late Stage Mechanisms for Vocalization Processing in the Human Auditory System. (Doctoral Dissertation). West Virginia University. Retrieved from https://doi.org/10.33915/etd.218 ; https://researchrepository.wvu.edu/etd/218

Chicago Manual of Style (16^th Edition):

Talkington, William James. “Early and Late Stage Mechanisms for Vocalization Processing in the Human Auditory System.” 2013. Doctoral Dissertation, West Virginia University. Accessed March 07, 2021. https://doi.org/10.33915/etd.218 ; https://researchrepository.wvu.edu/etd/218.

MLA Handbook (7^th Edition):

Talkington, William James. “Early and Late Stage Mechanisms for Vocalization Processing in the Human Auditory System.” 2013. Web. 07 Mar 2021.

Vancouver:

Talkington WJ. Early and Late Stage Mechanisms for Vocalization Processing in the Human Auditory System. [Internet] [Doctoral dissertation]. West Virginia University; 2013. [cited 2021 Mar 07]. Available from: https://doi.org/10.33915/etd.218 ; https://researchrepository.wvu.edu/etd/218.

Council of Science Editors:

Talkington WJ. Early and Late Stage Mechanisms for Vocalization Processing in the Human Auditory System. [Doctoral Dissertation]. West Virginia University; 2013. Available from: https://doi.org/10.33915/etd.218 ; https://researchrepository.wvu.edu/etd/218

University of Washington

23. Zeng, Geng. Methods for a dedicated breast cancer scanner combining positron emission tomography (PET) and mammography imaging.

Degree: PhD, 2018, University of Washington

URL: http://hdl.handle.net/1773/43130

► The PET/X breast imaging system is designed to be a compact positron emission tomography (PET) scanner with a rectangular field of view (FOV) that can… (more)

Subjects/Keywords:

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APA (6^th Edition):

Zeng, G. (2018). Methods for a dedicated breast cancer scanner combining positron emission tomography (PET) and mammography imaging. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43130

Chicago Manual of Style (16^th Edition):

Zeng, Geng. “Methods for a dedicated breast cancer scanner combining positron emission tomography (PET) and mammography imaging.” 2018. Doctoral Dissertation, University of Washington. Accessed March 07, 2021. http://hdl.handle.net/1773/43130.

MLA Handbook (7^th Edition):

Zeng, Geng. “Methods for a dedicated breast cancer scanner combining positron emission tomography (PET) and mammography imaging.” 2018. Web. 07 Mar 2021.

Vancouver:

Zeng G. Methods for a dedicated breast cancer scanner combining positron emission tomography (PET) and mammography imaging. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1773/43130.

Council of Science Editors:

Zeng G. Methods for a dedicated breast cancer scanner combining positron emission tomography (PET) and mammography imaging. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43130

University of Minnesota

24. Shapovalova, Mariya. Molecular Imaging of Prostate Cancer Using Biomarker-Guided Strategies.

Degree: PhD, Pharmacology, 2019, University of Minnesota

URL: http://hdl.handle.net/11299/208849

► Prostate cancer affects 1 in 9 men in their lifetime. While disease that is detected early can be very treatable, recurrence affects about 30% of… (more)

▼ Prostate cancer affects 1 in 9 men in their lifetime. While disease that is detected early can be very treatable, recurrence affects about 30% of the patients. Imaging is an important tool for detecting and assessing therapeutic regimens for prostate cancer patients. Patients with advanced stages of prostate cancer, typically those who have had a recurrence and are forming resistance to hormone therapy, are in a great need for a more accurate assessment of the extent of their disease for a better understanding of its aggressiveness. Clinical imaging offers physicians information about the location and extent of disease. Unfortunately, conventional imaging methods often lack the sensitivity needed to detect some lesions properly, especially when the disease is no longer localized and has spread outside of the prostate, which leads to insufficient information that is needed for proper diagnosis and treatment planning. Most of the current imaging techniques are not specific for tumor physiological processes. Therefore, a clinical need remains for new imaging agents that can target prostate tumors more specifically and sensitively. My PhD research focused on using molecular-genetic imaging approaches to develop imaging agents in vitro and in vivo that can detect prostate cancer using the cancer's unique regulatory genetic differences from normal cells. I investigated the expression two prostate cancer-specific genes, AMACR and PEG10 and used the genes' unique transcriptional regulations in the prostate cancer cells to induce prostate cancer-specific expression of reporter proteins. Specifically, I used the promoters of AMACR and PEG10 in adenovirus and plasmid DNA vectors upstream of various reporter genes to induce expression of reporter proteins in prostate cancer cells. By using the prostate cancer-specific promoters, I was able to image prostate cancer in vivo using various vectors and different modes of imaging such as bioluminescence/fluorescence and positron emission tomography imaging. My results strongly support that prostate cancer specific promoters can induce prostate cancer specific gene expression and may have the potential to be used for imaging purposes.

Subjects/Keywords: Oncology; Medical imaging

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APA (6^th Edition):

Shapovalova, M. (2019). Molecular Imaging of Prostate Cancer Using Biomarker-Guided Strategies. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/208849

Chicago Manual of Style (16^th Edition):

Shapovalova, Mariya. “Molecular Imaging of Prostate Cancer Using Biomarker-Guided Strategies.” 2019. Doctoral Dissertation, University of Minnesota. Accessed March 07, 2021. http://hdl.handle.net/11299/208849.

MLA Handbook (7^th Edition):

Shapovalova, Mariya. “Molecular Imaging of Prostate Cancer Using Biomarker-Guided Strategies.” 2019. Web. 07 Mar 2021.

Vancouver:

Shapovalova M. Molecular Imaging of Prostate Cancer Using Biomarker-Guided Strategies. [Internet] [Doctoral dissertation]. University of Minnesota; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11299/208849.

Council of Science Editors:

Shapovalova M. Molecular Imaging of Prostate Cancer Using Biomarker-Guided Strategies. [Doctoral Dissertation]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/208849

Duke University

25. Whitley, Melodi Javid. Preclinical and Clinical Studies of an Investigational Protease-Activated Fluorescent Probe for Cancer Theranostics .

Degree: 2017, Duke University

URL: http://hdl.handle.net/10161/14350

► Local recurrence is a common cause of treatment failure for patients with solid tumors. Intra-operative detection and selective ablation of microscopic residual cancer in… (more)

▼ Local recurrence is a common cause of treatment failure for patients with solid tumors. Intra-operative detection and selective ablation of microscopic residual cancer in the tumor bed could be used to decrease the risk of a positive surgical margin, reduce rates of re-excision, and tailor adjuvant therapy, all of which may contribute to improved disease control. Here, we use a protease–activated fluorescent imaging probe, LUM015, to detect cancer in vivo in a mouse model of soft tissue sarcoma (STS) and ex vivo in a first-in-human Phase I clinical trial. In mice, intravenous injection of LUM015 labeled tumor cells and residual fluorescence detected within the tumor bed predicted local recurrence. In fifteen patients with STS or breast cancer, intravenous injection of LUM015 prior to surgery was well tolerated. Imaging of resected human tissues showed that fluorescence from tumor was significantly higher than fluorescence from normal tissue. Comparison of LUM015 biodistribution and metabolism in mouse and human subjects revealed similar pharmacokinetic profiles for this PEGylated imaging probe. The major fluorescent LUM015 metabolite was determined to be Cy5-Lysine. Tissue concentrations of LUM015 and its metabolites demonstrated that LUM015 is selectively distributed to tumors where it is activated by proteases to establish tumor to normal contrast. Experiments in mice with a constitutively active PEGylated fluorescent imaging probe support a model where tumor-selective probe distribution is a determinant of increased fluorescence in cancer. These co-clinical studies suggest that the tumor-specificity of protease-activated imaging probes, such as LUM015, is significantly dependent on both biodistribution and protease-activation. These results support future clinical trials of LUM015 in which intraoperative imaging of the tumor bed is compared to surgical margin histopathology. I also describe a novel pulsed Nd:YAG laser ablation system that, when used in conjunction with LUM015, can identify and ablate cancer in vivo. Mice with primary STS were injected with the protease-activatable probe LUM015 to label tumors. Resected tissues from the mice were then imaged and treated with the laser using the paired fluorescence-imaging/ laser ablation device, generating ablation clefts with sub-millimeter precision and minimal underlying tissue damage. Laser ablation was guided by fluorescence to target tumor tissues, avoiding normal structures. The selective ablation of tumor implants in vivo improved recurrence-free survival after tumor resection. This prototype system has the potential to be modified so that it can be used during surgery to improve recurrence-free survival in patients with cancer. Advisors/Committee Members: Kirsch, David G (advisor).

Subjects/Keywords: Oncology; Medical imaging

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APA (6^th Edition):

Whitley, M. J. (2017). Preclinical and Clinical Studies of an Investigational Protease-Activated Fluorescent Probe for Cancer Theranostics . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14350

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):

Whitley, Melodi Javid. “Preclinical and Clinical Studies of an Investigational Protease-Activated Fluorescent Probe for Cancer Theranostics .” 2017. Thesis, Duke University. Accessed March 07, 2021. http://hdl.handle.net/10161/14350.

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

MLA Handbook (7^th Edition):

Whitley, Melodi Javid. “Preclinical and Clinical Studies of an Investigational Protease-Activated Fluorescent Probe for Cancer Theranostics .” 2017. Web. 07 Mar 2021.

Vancouver:

Whitley MJ. Preclinical and Clinical Studies of an Investigational Protease-Activated Fluorescent Probe for Cancer Theranostics . [Internet] [Thesis]. Duke University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10161/14350.

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

Council of Science Editors:

Whitley MJ. Preclinical and Clinical Studies of an Investigational Protease-Activated Fluorescent Probe for Cancer Theranostics . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14350

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

University of Toledo Health Science Campus

26. Alarady, Mamdooh R. Characterization of Image Quality between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Clinical Used Protocols in Radiation Therapy Treatment Planning.

Degree: MSBS, Biomedical Sciences (Medical Physics: Radiation Oncology), 2017, University of Toledo Health Science Campus

URL: http://rave.ohiolink.edu/etdc/view?acc_num=mco151080400269082

► From diagnosis to treatment and continuous monitoring, imaging is one of the most important steps of cancer treatment. Diagnostic imaging is a useful tool that… (more)

▼ From diagnosis to treatment and continuous monitoring, imaging is one of the most important steps of cancer treatment. Diagnostic imaging is a useful tool that allows healthcare professionals to obtain anatomical and physiological information from patients’ in a non-invasive way. In Radiation Oncology, x-ray imaging is used to calculate the anatomical radiation dose as well as it can be a tool for assessing correct positioning of a patient through a treatment course. Image quality is a key factor in the process of cancer patient care for all the treatment team. Radiation Oncologists use Computed Tomography (CT) images to identify a tumor and delineate a target for radiation therapy planning. Medical Physicists fuse CT images with images from other modalities such as MRI to help physicians in tumor anatomy contouring. The physicists also use the CT images for radiation treatment planning. Radiation Therapists use CT images to accurately position patients prior to radiation therapy sessions. Due to its importance in Radiation Oncology, the quality control of imaging systems is commonly incorporated into the quality assurance program in Radiation Oncology.This research has characterized the differences in image quality between two imaging modalities, Fan Beam CT (FBCT) and Cone Beam CT (CBCT). For the three scanners that we have in the University of Toledo Dana cancer center, two CBCT, Varian True Beam OBI CBCT and Varian Edge OBI CBCT, and one FBCT, Philips Gemini TF Big Bore PET/CT, were used for this study. We analyzed image quality using several routine scanning protocols on the three imaging systems. Seven parameters of image quality have been evaluated; slice thickness, spatial linearity, CT number accuracy, spatial resolution, low contrast detectability, contrast-to-noise ratio (CNR) and image uniformity. All tests were conducted using the Catphan-504 phantom. Image analysis was done using two methods, automated software and manual analysis. The automated software was RIT software (version 6.6) while the manual analysis was done using a software called MIM software (version 5.6). The comparison showed a similarity in all parameters except of the low contrast detectability, where the FBCT was superior to the CBCT. The latter finding may be attributed to the excess scattered radiation at the detector in CBCT, which in turn increases the noise and degrades the low contrast detectability. Advisors/Committee Members: Parsai, E. Ishmael (Committee Chair).

Subjects/Keywords: Medical Imaging; Physics

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APA (6^th Edition):

Alarady, M. R. (2017). Characterization of Image Quality between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Clinical Used Protocols in Radiation Therapy Treatment Planning. (Masters Thesis). University of Toledo Health Science Campus. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=mco151080400269082

Chicago Manual of Style (16^th Edition):

Alarady, Mamdooh R. “Characterization of Image Quality between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Clinical Used Protocols in Radiation Therapy Treatment Planning.” 2017. Masters Thesis, University of Toledo Health Science Campus. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=mco151080400269082.

MLA Handbook (7^th Edition):

Alarady, Mamdooh R. “Characterization of Image Quality between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Clinical Used Protocols in Radiation Therapy Treatment Planning.” 2017. Web. 07 Mar 2021.

Vancouver:

Alarady MR. Characterization of Image Quality between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Clinical Used Protocols in Radiation Therapy Treatment Planning. [Internet] [Masters thesis]. University of Toledo Health Science Campus; 2017. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=mco151080400269082.

Council of Science Editors:

Alarady MR. Characterization of Image Quality between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Clinical Used Protocols in Radiation Therapy Treatment Planning. [Masters Thesis]. University of Toledo Health Science Campus; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=mco151080400269082

27. Barron, Nicholas Henry. An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing.

Degree: MSs, Physics, 2016, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1459422647

► Over the past few decades, many of the most significant contributions to the field ofmagnetic resonance imaging have been made by Dr. E. Mark Haacke,… (more)

Subjects/Keywords: Medical Imaging; Entrepreneurship

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APA (6^th Edition):

Barron, N. H. (2016). An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing. (Masters Thesis). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1459422647

Chicago Manual of Style (16^th Edition):

Barron, Nicholas Henry. “An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing.” 2016. Masters Thesis, Case Western Reserve University School of Graduate Studies. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1459422647.

MLA Handbook (7^th Edition):

Barron, Nicholas Henry. “An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing.” 2016. Web. 07 Mar 2021.

Vancouver:

Barron NH. An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing. [Internet] [Masters thesis]. Case Western Reserve University School of Graduate Studies; 2016. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1459422647.

Council of Science Editors:

Barron NH. An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing. [Masters Thesis]. Case Western Reserve University School of Graduate Studies; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1459422647

28. Yao, Zhen. OPTIMIZING RF AND GRADIENT COILS IN MRI.

Degree: PhD, Physics, 2014, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1402058570

► In this dissertation, several topics on gradient and RF coils in MRI system are studied. Chapter 1 provides an introduction to basics of MRI. Chapter… (more)

▼ In this dissertation, several topics on gradient and RF coils in MRI system are studied. Chapter 1 provides an introduction to basics of MRI. Chapter 2 and Chapter 3 focus on methods of eddy current and heat calculation induced by a gradient coil system. A strip model is studied in detail, and effective ways to suppress the heating on the strip are found which serves as a basis for Chapter 4. In chapter 4, guidelines are provided for optimizing slit patterns in radio-frequency (RF) shields. In Chapter 5, acoustic noise induced by gradient system is studied; an acoustic suppression model with modifications of sequence shape is applied, whereby one can suppress several significant vibration modes in kHz range. In Chapter 6, we investigated RF induced heating effect with FDTD simulations. A model for a guidewire inside a plate phantom is studied in detail. Pronounced heating effect is found close to the tip of the guidewire. Specific absorption rate (SAR) levels are calculated for 6 different phase configurations, and compared with both quasi-static calculations and temperature measurements. We found that the quasi-static calculation can serve as an efficient and rapidly applied temperature guide, which can be integrated into a quadraticxxioptimization algorithm for the suppression of the RF induced heating effect. In Chapter 7, noise correlations between different RF phased-array channels are studied. Both quasi-static and FEM full-wave simulations are performed to show the inaccuracy of quasi-static calculation. A simple model for calculating the noise correlation between RF receiver coils is proposed and tested. We find out that the two correlation mechanisms correspond to the resistive and reactive parts of inductive voltage, respectively. This method offers a convenient way of carrying out noise correlation calculations for RF receiver coils (surface or volume) without performing electric field integrations over the whole sample. Advisors/Committee Members: Brown, Robert (Committee Chair).

Subjects/Keywords: Medical Imaging; Physics

10 more images…

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APA (6^th Edition):

Yao, Z. (2014). OPTIMIZING RF AND GRADIENT COILS IN MRI. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1402058570

Chicago Manual of Style (16^th Edition):

Yao, Zhen. “OPTIMIZING RF AND GRADIENT COILS IN MRI.” 2014. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1402058570.

MLA Handbook (7^th Edition):

Yao, Zhen. “OPTIMIZING RF AND GRADIENT COILS IN MRI.” 2014. Web. 07 Mar 2021.

Vancouver:

Yao Z. OPTIMIZING RF AND GRADIENT COILS IN MRI. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2014. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1402058570.

Council of Science Editors:

Yao Z. OPTIMIZING RF AND GRADIENT COILS IN MRI. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1402058570

University of Manchester

29. Armstrong, Ian. Quantitative Accuracy of Iterative Reconstruction Algorithms in Positron Emission Tomography.

Degree: 2017, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306784

► Positron Emission Tomography (PET) plays an essential role in the management of patients with cancer. It is used to detect and characterise malignancy as well… (more)

▼ Positron Emission Tomography (PET) plays an essential role in the management of patients with cancer. It is used to detect and characterise malignancy as well as monitor response to therapy. PET is a quantitative imaging tool, producing images that quantify the uptake of a radiotracer that has been administered to the patient. The most common measure of uptake derived from the image is known as a Standardised Uptake Value (SUV). Data acquired on the scanner is processed to produce images that are reported by clinicians. This task is known as image reconstruction and uses computational algorithms to process the scan data. The last decade has seen substantial development of these algorithms, which have become commercially available: modelling of the scanner spatial resolution (resolution modelling) and time of flight (TOF). The Biograph mCT was the first scanner from Siemens Healthcare to feature these two algorithms and the scanner at Central Manchester University Hospitals was the first Biograph mCT to go live in the UK. This PhD project, sponsored by Siemens Healthcare, aims to evaluate the effect of these algorithms on SUV in routine oncology imaging through a combination of phantom and patient studies.Resolution modelling improved visualisation of small objects and resulted in significant increases of uptake measurements. This may pose a challenge to clinicians when interpreting established uptake metrics that are used as an indication of disease status. Resolution modelling reduced the variability of SUV. This improved precision is particularly beneficial when assessing SUV changes during therapy monitoring.TOF was shown to reduce image noise with a conservation of FDG uptake measurements, relative to non-TOF algorithms. As a result of this work, TOF has been used routinely since mid-2014 at the CMUH department. This has facilitated a reduction of patient and staff radiation dose and an increase of 100 scans performed each year in the department. Advisors/Committee Members: WILLIAMS, HEATHER HA, Williams, Heather, Matthews, Julian.

Subjects/Keywords: Oncology; Medical Imaging; Image Reconstruction; PET imaging

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APA (6^th Edition):

Armstrong, I. (2017). Quantitative Accuracy of Iterative Reconstruction Algorithms in Positron Emission Tomography. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306784

Chicago Manual of Style (16^th Edition):

Armstrong, Ian. “Quantitative Accuracy of Iterative Reconstruction Algorithms in Positron Emission Tomography.” 2017. Doctoral Dissertation, University of Manchester. Accessed March 07, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306784.

MLA Handbook (7^th Edition):

Armstrong, Ian. “Quantitative Accuracy of Iterative Reconstruction Algorithms in Positron Emission Tomography.” 2017. Web. 07 Mar 2021.

Vancouver:

Armstrong I. Quantitative Accuracy of Iterative Reconstruction Algorithms in Positron Emission Tomography. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2021 Mar 07]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306784.

Council of Science Editors:

Armstrong I. Quantitative Accuracy of Iterative Reconstruction Algorithms in Positron Emission Tomography. [Doctoral Dissertation]. University of Manchester; 2017. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306784

Boston University

30. Subaran, Sarah Samira. A visual comparison between the Ultrasound X6-1 Matrix transducer and MRI in lesion detection in the dome of the liver.

Degree: MS, Bioimaging, 2014, Boston University

URL: http://hdl.handle.net/2144/14393

► Imaging the dome of the liver can be a very challenging area to image by Ultrasound. Due to its position inside the ribcage there can… (more)

Subjects/Keywords: Medical imaging; Imaging; Liver; MRI; Ultrasound

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APA (6^th Edition):

Subaran, S. S. (2014). A visual comparison between the Ultrasound X6-1 Matrix transducer and MRI in lesion detection in the dome of the liver. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/14393

Chicago Manual of Style (16^th Edition):

Subaran, Sarah Samira. “A visual comparison between the Ultrasound X6-1 Matrix transducer and MRI in lesion detection in the dome of the liver.” 2014. Masters Thesis, Boston University. Accessed March 07, 2021. http://hdl.handle.net/2144/14393.

MLA Handbook (7^th Edition):

Subaran, Sarah Samira. “A visual comparison between the Ultrasound X6-1 Matrix transducer and MRI in lesion detection in the dome of the liver.” 2014. Web. 07 Mar 2021.

Vancouver:

Subaran SS. A visual comparison between the Ultrasound X6-1 Matrix transducer and MRI in lesion detection in the dome of the liver. [Internet] [Masters thesis]. Boston University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2144/14393.

Council of Science Editors:

Subaran SS. A visual comparison between the Ultrasound X6-1 Matrix transducer and MRI in lesion detection in the dome of the liver. [Masters Thesis]. Boston University; 2014. Available from: http://hdl.handle.net/2144/14393

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