A Model-Based Image Reconstruction Algorithm for Saturation Prepared Radially Acquired Data

Johannes Tran-Gia¹, Daniel Stb¹, Christian Oliver Ritter¹, Dietbert Hahn¹, Herbert Kstler¹

A model-based image reconstruction algorithm is presented using radially sampled data to reconstruct one fully sampled image for each acquired radial projection after magnetization preparation. For radial trajectories, every acquired projection contains information about the image contrast. By incorporating a signal model into the image reconstruction, it is possible to use this information to resolve the signal evolution with a high temporal resolution. The functionality of the algorithm is demonstrated in phantom studies as well as in in-vivo measurements on a healthy volunteer.