Building Statistical Atlas of White Matter Fiber Tract Based on Vector/Tensor Field Reconstruction in Diffusion Tensor MRI

摘要

The diffusion tensor tractography has drawbacks such as low objectivity by interactive ROI setting and fiber-crossing. For coping with such problems, we are constructing a statistical atlas of white matter fiber tracts, in which probability density maps of tract structures are stored with diffusion tensor parameters on spatially normalized brain data. In building the atlas, our fiber tract modeling method plays a key role, which is based on a novel approach of vector/tensor field reconstruction avoiding fiber-crossings. In this abstract, we describe the modeling method, our statistical atlas, and the preliminary results.