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Abstract #1010

Performance of Quantitative, Free-breathing 3D Perfusion CMR using Motion-Informed LLR Reconstruction in a Porcine Infarction Model

Tobias Hoh1, Valery Vishnevskiy1, Christian T Stoeck1,2, Conny F Waschkies2, Nikola Cesarovic3, Miriam Weisskopf2, Maximilian Fuetterer1, and Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Center of Surgical Research, University Hospital Zurich, University of Zurich, Zurich, Switzerland, 3Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland


Three-dimensional first-pass myocardial perfusion CMR requires acceleration methods to enable whole-heart coverage in a limited acquisition window. Current 3D approaches suffer from data inconsistencies during free breathing, compromising image quality and perfusion quantification. We propose and experimentally validate a combination of Cartesian pseudo-spiral k-t undersampling with respiratory motion-informed locally low-rank (MI-LLR) reconstruction for robust whole-heart myocardial quantitative perfusion CMR in an experimental pig model of myocardial infarction. As reference, standard 2D acquisitions are used. Overall, image quality scoring was good. Perfusion defects were equally well depicted and discernible in imaging and MBF perfusion mapping in 3D and 2D approaches, respectively.

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