Merel de Leeuw den Bouter1, Martin van Gijzen1, and Rob Remis2
1Delft Institute of Applied Mathematics, Delft University of Technology, Delft, Netherlands, 2Circuits and Systems, Delft University of Technology, Delft, Netherlands
1Delft Institute of Applied Mathematics, Delft University of Technology, Delft, Netherlands, 2Circuits and Systems, Delft University of Technology, Delft, Netherlands
We present an image reconstruction approach that incorporates regularization by multipliying the data-fidelity term by a total variation functional, thereby eliminating the need of a regularization parameter. We apply the method in a low-field MR setting, where it yields promising results.
Algorithm results.
The algorithm progressively denoises the image.