Abstract #3859

Low Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting

Jakob Assländer^1,2,3, Martijn A Cloos^1,2, Florian Knoll^1,2, Daniel K Sodickson^1,2, Jürgen Hennig³, and Riccardo Lattanzi^1,2

¹Dept. of Radiology - Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, ²Dept. of Radiology - Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States, ³Dept. of Radiology - Medical Physics, University Medical Center Freiburg, Freiburg, Germany

The proposed reconstruction framework for MR-Fingerprinting (MRF) combines a low rank approximation of the signal's temporal evolution with the alternating direction method of multipliers. This general framework allows for incorporating parallel imaging and compressed sensing. The low rank approximation of the signal's temporal evolution reduces the number of fast Fourier transformations significantly and adresses the non-convexity of the MRF-reconstruction problem. Overall, the convergence is improved and undersampling artifacts are reduced, resulting in a fast, robust and flexible reconstruction framework.

This abstract and the presentation materials are available to members only; a login is required.

Join Here