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Abstract #0351

Fiber-Oriented Regularization of Diffusion Tensor Images

Gore J, Ding Z, Anderson A, Qi J, Lu Y
Vanderbilt University

A fiber-oriented Bayesian regularization method was proposed to suppress the confounding effects of noise and partial volume averaging in diffusion tensor fiber tractography. Compared to conventional Gaussian and anisotropic tensor regularization methods, this new method has not only the functions of noise reduction and boundary preservation but also robustness to partial volume averaging, as demonstrated by experiments with synthetic data.