SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging
提出PMARM方法，结合多尺度自适应回归、传播-分离和Lasso，在体素间自适应估计ODF，减少纤维交叉区域角度检测误差，重建更准确。
penalty at each voxel. In PMARM, we integrate the multiscale adaptive regression models (Li et al., 2011), the propagation-separation method (Polzehl and Spokoiny, 2000), and Lasso (least absolute shrinkage and selection operator) (Tibshirani, 1996) to adaptively estimate ODFs across voxels. Experimental results indicate that PMARM can reduce the angle detection errors on fiber crossing area and provide more accurate reconstruction than standard voxel-wise methods.