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Abstract #1049

Diffusion Tensor Encoding Schemes Optimized for White Matter Fibers with Selected Orientations

Peng H, Arfanakis K
Illinois Institute of Technology

The accuracy of diffusion tensor imaging (DTI) measurements depends on the encoding scheme used. Most current acquisition schemes contain diffusion directions uniformly distributed in 3D space, in order to provide equal noise levels for fibers in any orientation. However, when considering specific fiber-bundles, the range of fiber orientations is limited. Based on this observation, we have developed a method to produce encoding schemes that minimize the noise of various tensor-derived scalar quantities for tensors with primary eigenvector orientations within a cone with a specified opening angle.