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Title page for ETD etd-07272010-004440


Type of Document Dissertation
Author Xu, Qing
URN etd-07272010-004440
Title Towards population based characterization of neuronal fiber pathways with diffusion tensor imaging
Degree PhD
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Zhaohua Ding Committee Chair
Adam W. Anderson Committee Member
Benoit Dawant Committee Member
D. Mitchell Wilkes Committee Member
Mark D. Does Committee Member
Keywords
  • fiber bundling
  • diffusion tensor imaging
  • fiber registration
Date of Defense 2010-03-10
Availability unrestricted
Abstract
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.
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