TY - JOUR
T1 - Tract probability maps in stereotaxic spaces
T2 - Analyses of white matter anatomy and tract-specific quantification
AU - Hua, Kegang
AU - Zhang, Jiangyang
AU - Wakana, Setsu
AU - Jiang, Hangyi
AU - Li, Xin
AU - Reich, Daniel S.
AU - Calabresi, Peter A.
AU - Pekar, James J.
AU - van Zijl, Peter C.M.
AU - Mori, Susumu
PY - 2008/1/1
Y1 - 2008/1/1
N2 - Diffusion tensor imaging (DTI) is an exciting new MRI modality that can reveal detailed anatomy of the white matter. DTI also allows us to approximate the 3D trajectories of major white matter bundles. By combining the identified tract coordinates with various types of MR parameter maps, such as T2 and diffusion properties, we can perform tract-specific analysis of these parameters. Unfortunately, 3D tract reconstruction is marred by noise, partial volume effects, and complicated axonal structures. Furthermore, changes in diffusion anisotropy under pathological conditions could alter the results of 3D tract reconstruction. In this study, we created a white matter parcellation atlas based on probabilistic maps of 11 major white matter tracts derived from the DTI data from 28 normal subjects. Using these probabilistic maps, automated tract-specific quantification of fractional anisotropy and mean diffusivity were performed. Excellent correlation was found between the automated and the individual tractography-based results. This tool allows efficient initial screening of the status of multiple white matter tracts.
AB - Diffusion tensor imaging (DTI) is an exciting new MRI modality that can reveal detailed anatomy of the white matter. DTI also allows us to approximate the 3D trajectories of major white matter bundles. By combining the identified tract coordinates with various types of MR parameter maps, such as T2 and diffusion properties, we can perform tract-specific analysis of these parameters. Unfortunately, 3D tract reconstruction is marred by noise, partial volume effects, and complicated axonal structures. Furthermore, changes in diffusion anisotropy under pathological conditions could alter the results of 3D tract reconstruction. In this study, we created a white matter parcellation atlas based on probabilistic maps of 11 major white matter tracts derived from the DTI data from 28 normal subjects. Using these probabilistic maps, automated tract-specific quantification of fractional anisotropy and mean diffusivity were performed. Excellent correlation was found between the automated and the individual tractography-based results. This tool allows efficient initial screening of the status of multiple white matter tracts.
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U2 - 10.1016/j.neuroimage.2007.07.053
DO - 10.1016/j.neuroimage.2007.07.053
M3 - Article
C2 - 17931890
AN - SCOPUS:36048983778
SN - 1053-8119
VL - 39
SP - 336
EP - 347
JO - NeuroImage
JF - NeuroImage
IS - 1
ER -