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.