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Abstract #3200

Bias in Diffusion Tensor Tissue Integrity Measures Due to Sum of Squares Reconstruction: Characterization and Retrospective Correction

Ken E. Sakaie1, Kecheng Liu2, Mark J. Lowe1

1Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States; 2Siemens Medical Solutions USA, Inc, Malvern, PA, United States

Diffusion tensor imaging provides quantitative measures of tissue integrity that can be biased by the properties of the noise distribution. Sum of squares is commonly used for reconstructing multi-coil imaging data and exhibits Rician bias for signals near noise floor, leading to substantial bias in diffusivity values. Here, we quantify the bias and demonstrate that a simple but effective correction that can be applied retrospectively.