论文信息 - Outlier Rejection for Diffusion Weighted Imaging

Outlier Rejection for Diffusion Weighted Imaging

This paper introduces an outlier rejection and signal reconstruction method for high angular resolution diffusion weighted imaging. The approach is based on the thresholding of Laplacian measurements over the sphere of the apparent diffusion coefficient profiles defined for a given set of gradient directions. Exemplary results are presented.

[1] Derek K. Jones,et al. RESTORE: Robust estimation of tensors by outlier rejection , 2005, Magnetic resonance in medicine.

[2] Isabelle Bloch,et al. Distortion correction and robust tensor estimation for MR diffusion imaging , 2002, Medical Image Anal..

[3] J. Tukey,et al. Performance of Some Resistant Rules for Outlier Labeling , 1986 .

[4] Mark Meyer,et al. Discrete Differential-Geometry Operators for Triangulated 2-Manifolds , 2002, VisMath.

[5] R. Deriche,et al. Apparent diffusion coefficients from high angular resolution diffusion imaging: Estimation and applications , 2006, Magnetic resonance in medicine.

[6] Guoliang Xu,et al. Convergent discrete Laplace-Beltrami operators over triangular surfaces , 2004, Geometric Modeling and Processing, 2004. Proceedings.

[7] Carl-Fredrik Westin,et al. Noise and Signal Estimation in Magnitude MRI and Rician Distributed Images: A LMMSE Approach , 2008, IEEE Transactions on Image Processing.

[8] Wilson Fong. Handbook of MRI Pulse Sequences , 2005 .