Department of Image Processing

Reconstruction of image acquired by MRI scanner can be successfully written in an iterative optimization manner. We will show such formulation on medical data as a problem of finding optimal trade-off between closeness to the input data and improvement prescribed by regularization function. Furthermore, iterative solution based on evaluation of so-called proximal operator will be presented alongside with application on data acquired by nuclear magnetic resonance scanner stationed at the Czech Institute of Scientific Instruments.