TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING
Diffusion tensor imaging has been widely used to reconstruct neuronal fibers in the human brain. Studying these fibers often requires them to be grouped into bundles that correspond to coherent anatomic structures. Several fiber bundling methods are proposed and evaluated in this work. A unified fib...
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ndltd-VANDERBILT-oai-VANDERBILTETD-etd-07272010-0044402013-01-08T17:16:39Z TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING Xu, Qing Electrical Engineering Diffusion tensor imaging has been widely used to reconstruct neuronal fibers in the human brain. Studying these fibers often requires them to be grouped into bundles that correspond to coherent anatomic structures. Several fiber bundling methods are proposed and evaluated in this work. A unified fiber bundling and registration algorithm, which refers to a pre-built bundle template, is firstly proposed to provide fiber bundling consistent with well-defined major white matter pathways. Furthermore, a clustering algorithm, which is constrained by a cortex parcellation, is proposed to automatically segment connections between cortical/sub-cortical areas. Based on this framework, a group-wise fiber bundling method is further proposed to leverage a group of DTI data for improving across subject bundle consistency. The above methods have been rigorously evaluated with in vivo DTI data, demonstrating a potential of being used to better characterize white matter pathways and measure the connectivity. Zhaohua Ding Adam W. Anderson Benoit Dawant Mark D. Does D. Mitchell Wilkes VANDERBILT 2010-07-27 text application/pdf http://etd.library.vanderbilt.edu/available/etd-07272010-004440/ http://etd.library.vanderbilt.edu/available/etd-07272010-004440/ 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. |
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Electrical Engineering Xu, Qing TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING |
description |
Diffusion tensor imaging has been widely used to reconstruct neuronal fibers in the human brain. Studying these fibers often requires them to be grouped into bundles that correspond to coherent anatomic structures. Several fiber bundling methods are proposed and evaluated in this work. A unified fiber bundling and registration algorithm, which refers to a pre-built bundle template, is firstly proposed to provide fiber bundling consistent with well-defined major white matter pathways. Furthermore, a clustering algorithm, which is constrained by a cortex parcellation, is proposed to automatically segment connections between cortical/sub-cortical areas. Based on this framework, a group-wise fiber bundling method is further proposed to leverage a group of DTI data for improving across subject bundle consistency. The above methods have been rigorously evaluated with in vivo DTI data, demonstrating a potential of being used to better characterize white matter pathways and measure the connectivity. |
author2 |
Zhaohua Ding |
author_facet |
Zhaohua Ding Xu, Qing |
author |
Xu, Qing |
author_sort |
Xu, Qing |
title |
TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING |
title_short |
TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING |
title_full |
TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING |
title_fullStr |
TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING |
title_full_unstemmed |
TOWARDS POPULATION BASED CHARACTERIZATION OF NEURONAL FIBER PATHWAYS WITH DIFFUSION TENSOR IMAGING |
title_sort |
towards population based characterization of neuronal fiber pathways with diffusion tensor imaging |
publisher |
VANDERBILT |
publishDate |
2010 |
url |
http://etd.library.vanderbilt.edu/available/etd-07272010-004440/ |
work_keys_str_mv |
AT xuqing towardspopulationbasedcharacterizationofneuronalfiberpathwayswithdiffusiontensorimaging |
_version_ |
1716570380341084160 |