Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy.

Mark McIntosh,'s picture
PubMed URL: 
http://www.ncbi.nlm.nih.gov/pubmed/20570617
Author: 
Mori S
Author List: 
Zhang Y
Zhang J
Oishi K
Faria AV
Jiang H
Li X
Akhter K
Rosa-Neto P
Pike GB
Evans A
Toga AW
Woods R
Mazziotta JC
Miller MI
van Zijl PC
Mori S
Journal: 
Neuroimage
PubMed ID: 
20570617
Pagination: 
1289-301
Volume: 
52
Issue: 
4
Abstract: 
Tractography based on diffusion tensor imaging (DTI) is widely used to quantitatively analyze the status of the white matter anatomy in a tract-specific manner in many types of diseases. This approach, however, involves subjective judgment in the tract-editing process to extract only the tracts of interest. This process, usually performed by manual delineation of regions of interest, is also time-consuming, and certain tracts, especially the short cortico-cortical association fibers, are difficult to reconstruct. In this paper, we propose an automated approach for reconstruction of a large number of white matter tracts. In this approach, existing anatomical knowledge about tract trajectories (called the Template ROI Set or TRS) were stored in our DTI-based brain atlas with 130 three-dimensional anatomical segmentations, which were warped non-linearly to individual DTI data. We examined the degree of matching with manual results for selected fibers. We established 30 TRSs to reconstruct 30 prominent and previously well-described fibers. In addition, TRSs were developed to delineate 29 short association fibers that were found in all normal subjects examined in this paper (N=20). Probabilistic maps of the 59 tract trajectories were created from the normal subjects and were incorporated into our image analysis tool for automated tract-specific quantification.
Published Date: 
October, 2010

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