The imaging of ²³Na with MRI became more feasible recently for reasearch and applications with the developement of ultra-highfield MR-Systems. ²³Na-MRI faces challenges due to the low NMR sensitivity of ²³Na and the low in-vivo concentration. The developement of adapted aquisition sequences and image reconstruction techniques are necessary to achieve an applicable image quality. Iterative Compressed Sensing reconstruction improved the imaging results for ²³Na significantly with the drawback of a high image-reconstruction time. 

The goal of this project is the acceleration and improvement of a dictionary-learning compressed sensing approach. This project is in cooperation with the Universitätsklinikum Erlangen.

matthias.utzschneider(at)fau.de