A Regularized K-Space-Based Method for Susceptibility Tensor Imaging

Wei Li¹, Bing Wu¹, Chunlei Liu¹, ²

Magnetic susceptibility typically has high contrast and SNR, and is related to the fiber angle with a simple sine-squared relationship, thus provides a promising candidate for extracting the white matter fiber orientation information from gradient echo MRI. The application of susceptibility tensor imaging, however, can be hampered by the imperfect registration due to different image distortion at different head orientations. In this work, we developed a regularized k-space-based method for susceptibility tensor reconstruction, which can effectively reduced the artifacts caused by imperfect registration and enhance the robustness of susceptibility tensor imaging.