Abstract：
: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.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Hua K,Zhang J,Wakana S,Jiang H,Li X,Reich DS,Calabresi PA,Pekar JJ,van Zijl PC,Mori Sdoi
10.1016/j.neuroimage.2007.07.053subject
Has Abstractpub_date
2008-01-01 00:00:00pages
336-47issue
1eissn
1053-8119issn
1095-9572pii
S1053-8119(07)00688-Xjournal_volume
39pub_type
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