VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY

Diffusion tensor imaging (DTI) provides an indirect measure of tissue structure on microscopic scales. To date, DTI is the only imaging method that provides such information in vivo, and it has proven to be a valuable tool in both research and clinical settings. In this study, A multi-step procedure...

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Main Author: Choe, Ann Sunah
Other Authors: Adam W. Anderson
Format: Others
Language:en
Published: VANDERBILT 2010
Subjects:
Online Access:http://etd.library.vanderbilt.edu//available/etd-09222010-134920/
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spelling ndltd-VANDERBILT-oai-VANDERBILTETD-etd-09222010-1349202013-01-08T17:17:01Z VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY Choe, Ann Sunah Biomedical Engineering Diffusion tensor imaging (DTI) provides an indirect measure of tissue structure on microscopic scales. To date, DTI is the only imaging method that provides such information in vivo, and it has proven to be a valuable tool in both research and clinical settings. In this study, A multi-step procedure was developed to register diffusion tensor imaging (DTI) and histological data in the light microscopy image space, with the ultimate goal of allowing quantitative comparisons of the two datasets. The registration procedure was utilized to investigate the relationship between white matter structures and diffusion parameters measured by DTI. We used micrographs from light microscopy of fixed, myelin stained brain sections as a gold standard for direct comparison with data from DTI. Relationships between microscopic tissue properties observed with light microscopy - fiber orientation, density, and coherence - and fiber properties observed by DTI tensor orientation and fractional anisotropy (FA) - were investigated. Agreement between the major eigenvector of the tensor and myelinated fibers was excellent in voxels with high fiber coherence. However, the diffusion tensor was not a reliable indicator of fiber geometry where fibers crossed or diverged. Adam W. Anderson Malcolm J. Avison Mark D. Does John C. Gore Iwona Stepniewska VANDERBILT 2010-09-23 text application/pdf http://etd.library.vanderbilt.edu//available/etd-09222010-134920/ http://etd.library.vanderbilt.edu//available/etd-09222010-134920/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic Biomedical Engineering
spellingShingle Biomedical Engineering
Choe, Ann Sunah
VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY
description Diffusion tensor imaging (DTI) provides an indirect measure of tissue structure on microscopic scales. To date, DTI is the only imaging method that provides such information in vivo, and it has proven to be a valuable tool in both research and clinical settings. In this study, A multi-step procedure was developed to register diffusion tensor imaging (DTI) and histological data in the light microscopy image space, with the ultimate goal of allowing quantitative comparisons of the two datasets. The registration procedure was utilized to investigate the relationship between white matter structures and diffusion parameters measured by DTI. We used micrographs from light microscopy of fixed, myelin stained brain sections as a gold standard for direct comparison with data from DTI. Relationships between microscopic tissue properties observed with light microscopy - fiber orientation, density, and coherence - and fiber properties observed by DTI tensor orientation and fractional anisotropy (FA) - were investigated. Agreement between the major eigenvector of the tensor and myelinated fibers was excellent in voxels with high fiber coherence. However, the diffusion tensor was not a reliable indicator of fiber geometry where fibers crossed or diverged.
author2 Adam W. Anderson
author_facet Adam W. Anderson
Choe, Ann Sunah
author Choe, Ann Sunah
author_sort Choe, Ann Sunah
title VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY
title_short VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY
title_full VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY
title_fullStr VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY
title_full_unstemmed VALIDATION OF DIFFUSION TENSOR IMAGING IN THE CENTRAL NERVOUS SYTEM USING LIGHT MICROSCOPY
title_sort validation of diffusion tensor imaging in the central nervous sytem using light microscopy
publisher VANDERBILT
publishDate 2010
url http://etd.library.vanderbilt.edu//available/etd-09222010-134920/
work_keys_str_mv AT choeannsunah validationofdiffusiontensorimaginginthecentralnervoussytemusinglightmicroscopy
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