Abstract #3324

Low-Rank plus Sparse Matrix Decomposition for Accelerated Radial MS-CAIPIRINHA in First-Pass Myocardial Perfusion Imaging

Tobias Wech^1,2, Julius Heidenreich^1,2, Daniel Gensler^2,3, Tim Salinger^2,3, Peter Nordbeck^2,3, Daniel Stäb⁴, Peter Speier⁵, Thorsten Alexander Bley¹, and Herbert Köstler^1,2

¹Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, ²Comprehensive Heart Failure Centre, University Hospital Würzburg, Würzburg, Germany, ³Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, ⁴The Centre for Advanced Imaging, The University of Queensland, Brisbane, Germany, ⁵Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany

The anatomical coverage in first-pass myocardial perfusion imaging was extended by applying undersampled radial MS-CAIPIRINHA and a model-based reconstruction exploiting low-rank plus sparse matrix decomposition. The technique was tested in a patient with acute left ventricular myocardial infarction, yielding six short-axis slices from base to apex with a temporal resolution of one heartbeat. The reconstructed images exhibited a quality which is comparable to the conventional approach of acquiring only three slices per RR interval.

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