Measuring sparse temporal-variation for accurate registration of dynamic contrast-enhanced breast MR images
Propose new techniques for robust registration of DCE-MR breast image. Treat the temporal variation of DCE-MR breast images as sparse corruptions. Model DCE-MR breast image similarity with a L1 norm and a Lorentzian. Propose an iteratively reweighted least squares for optimization. Propose a linear programming based technique for optimization.
image registration sparsity dce-mri breast cancer