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.
%0 Journal Article
%1 Kang2005
%A Kang, Ning
%A Zhang, Jun
%A Carlson, E.S.
%A Gembris, D.
%D 2005
%J Medical Imaging, IEEE Transactions on
%K Diffusion, Tensor DTI Imaging, Diffusion
%N 9
%P 1127--1137
%R 10.1109/TMI.2005.852049
%T White matter fiber tractography via anisotropic diffusion simulation
in the human brain
%V 24
%X 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.
@article{Kang2005,
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.},
added-at = {2007-01-10T11:43:56.000+0100},
author = {Kang, Ning and Zhang, Jun and Carlson, E.S. and Gembris, D.},
biburl = {https://www.bibsonomy.org/bibtex/22beebbbd9e2c17cee8dcde9d57d9a624/bmeyer},
description = {Diffusion Tensor Imaging (DTI)},
doi = {10.1109/TMI.2005.852049},
interhash = {1a271357c0bada1209f1628f04d20dda},
intrahash = {2beebbbd9e2c17cee8dcde9d57d9a624},
journal = {Medical Imaging, IEEE Transactions on},
keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
month = {Sept.},
number = 9,
owner = {bzfbmeye},
pages = {1127--1137},
timestamp = {2007-01-10T11:43:56.000+0100},
title = {White matter fiber tractography via anisotropic diffusion simulation
in the human brain},
volume = 24,
year = 2005
}