A joint project of the Graduate School, Peabody College, and the Jean & Alexander Heard Library

Title page for ETD etd-12012006-131020


Type of Document Master's Thesis
Author Hong, Xin
Author's Email Address xin.hong@vanderbilt.edu
URN etd-12012006-131020
Title Improved characterization of white matter fiber bundles using diffusion MRI
Degree Master of Science
Department Biomedical Engineering
Advisory Committee
Advisor Name Title
Adam W. Anderson Committee Member
Mark D. Does Committee Member
Keywords
  • Central nervous system -- Magnetic resonance imaging
  • anisotropic smoothing
  • Tikhonov regularization
  • even-order fitting
  • Diffusion tensor imaging
Date of Defense 2007-01-16
Availability unrestricted
Abstract
Diffusion Tensor Imaging (DTI) has become the primary imaging modality for non-invasive characterization of the microstructure of living tissues, particularly of human white matter. Despite its success in various research areas and clinical applications, DTI is unable to describe adequately non-Gaussian diffusion. Fiber ORientation Estimated using Continuous Axially Symmetric Tensors (FORECAST), a new approach to High Angular Resolution Diffusion (HARD) analysis, is able to provide reliable estimates of the fiber radial diffusivity and orientation distribution within each voxel. In this study, several techniques were developed to enhance the FORECAST modelís reproducibility. The modelís dependence on various imaging parameters and analysis parameters was tested by Monte Carlo simulation. The optimal parameters for FORECAST analysis was determined based on the simulation results, and verified by in vivo human data.
Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  thesis.pdf 3.43 Mb 00:15:51 00:08:09 00:07:08 00:03:34 00:00:18

Browse All Available ETDs by ( Author | Department )

If you have more questions or technical problems, please Contact LITS.