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Lecture Notes in Computer Science
This paper presents a method for deformable registration of diffusion tensor (DT) images that integrates geometry and orientation features into a hierarchical matching framework. The geometric feature is derived from the structural geometry of diffusion and characterizes the shape of the tensor in terms of prolateness, oblateness, and sphericity of the tensor. Local spatial distributions of the prolate, oblate, and spherical geometry are used to create an attribute vector of geometric featuredoi:10.1007/978-3-540-85990-1_109 fatcat:b2mm5volhnhxfc5w6txw5awtbu