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

作者：Zhang Yajing; Zhang Jiangyang; Oishi Kenichi; Faria Andreia V; Jiang Hangyi; Li Xin; Akhter Kazi; Rosa Neto Pedro; Pike G Bruce; Evans Alan; Toga Arthur W; Woods Roger; Mazziotta John C; Miller Michael I; van Zijl Peter C M; Mori Susumu^*

来源：NeuroImage, 2010, 52(4): 1289-1301.

DOI：10.1016/j.neuroimage.2010.05.049

• Human
• White matter
• Automated
• Atlas
• Association fiber
• Tractography
• Magnetic resonance imaging
• Diffusion tensor

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.

• 出版日期2010-10-1
• 单位McGill