期刊
NEUROIMAGE
卷 52, 期 4, 页码 1289-1301出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2010.05.049
关键词
Human; White matter; Automated; Atlas; Association fiber; Tractography; Magnetic resonance imaging; Diffusion tensor
资金
- National Center for Research Resources (NCRR), National Institutes of Health (NIH) [P41 RR015241]
- NIH [PO1EB001955, RO1AG20012, R21AG033774, P50AG05146]
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R01HD065955] Funding Source: NIH RePORTER
- NATIONAL CENTER FOR RESEARCH RESOURCES [P41RR015241] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [P41EB015909, R01EB000975, P01EB001955] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS058299] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [R21AG033774, R01AG020012, P50AG005146] Funding Source: NIH RePORTER
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. (C) 2010 Elsevier Inc. All rights reserved.
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