Nonlinear partial differential equations (PDE) are now widely used to regularize images. They allow to eliminate noise and artifacts while preserving large global features, such as...
We are interested in regularizing fields of orthonormal vector sets, using constraint-preserving anisotropic diffusion PDE's. Each point of such a field is defined by multiple...
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL) divergence, or -divergence, to fluid registration of diffusion tensor images. The difference b...
Ming-Chang Chiang, Alex D. Leow, Andrea D. Klunder...