DocumentCode
1154435
Title
White matter fiber tractography via anisotropic diffusion simulation in the human brain
Author
Ning Kang ; Jun Zhang ; Carlson, E.S. ; Gembris, D.
Author_Institution
Dept. of Comput. Sci., Univ. of Kentucky, Lexington, KY, USA
Volume
24
Issue
9
fYear
2005
Firstpage
1127
Lastpage
1137
Abstract
A novel approach to noninvasively tracing brain white matter fiber tracts is presented using diffusion tensor magnetic resonance imaging (DT-MRI). This technique is based on successive anisotropic diffusion simulations over the human brain, which are utilized to construct three dimensional diffusion fronts. The fiber pathways are determined by evaluating the distance and orientation from the fronts to their corresponding diffusion seeds. Synthetic and real DT-MRI data are employed to demonstrate the tracking scheme. It is shown that the synthetic tracts are accurately replicated, and several major white matter fiber pathways can be reproduced noninvasively, with the tract branching being allowed. Since simulating the diffusion process, which is truly a physical phenomenon reflecting the underlying architecture of cerebral tissues, makes full use of the diffusion tensor data, including both the magnitude and orientation information, the proposed approach is expected to enhance robustness and reliability in white matter fiber reconstruction.
Keywords
biodiffusion; biomedical MRI; brain; image motion analysis; image reconstruction; medical image processing; neurophysiology; tensors; tracking; anisotropic diffusion simulation; cerebral tissues; diffusion fronts; diffusion seeds; diffusion tensor; fiber pathways; human brain; magnetic resonance imaging; noninvasive tracing; synthetic tracts; tracking scheme; tract branching; white matter fiber reconstruction; white matter fiber tractography; Anisotropic magnetoresistance; Brain modeling; Computer science; Diffusion tensor imaging; Humans; Image reconstruction; In vivo; Magnetic resonance imaging; Nerve fibers; Tensile stress; Anisotropic diffusion simulation; diffusion tensor MRI; fiber tractography; Algorithms; Anisotropy; Artificial Intelligence; Brain; Computer Simulation; Diffusion Magnetic Resonance Imaging; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Neurological; Nerve Fibers, Myelinated; Neural Pathways; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2005.852049
Filename
1501919
Link To Document