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Abstract #2093

SMS-bSSFP perfusion imaging with high spatial resolution and coverage using pseudorandom undersampling and compressed sensing reconstruction

Sarah McElroy1, Giulio Ferrazzi1, Sohaib Nazir1, Karl Kunze2, Radhouene Neji2, Peter Speier3, Daniel Staeb4, Christoph Forman3, Reza Razavi1, Amedeo Chiribiri1, and S├ębastien Roujol1
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3Cardiovascular MR Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 4MR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia

CMR perfusion imaging requires high temporal resolution, which limits the achievable spatial coverage and spatial resolution using conventional acquisition techniques. Simultaneous multi-slice (SMS) bSSFP perfusion imaging has been previously demonstrated at 1.5 T with matched spatial resolution and doubled spatial coverage compared to conventional protocols. In this work, we have implemented a pseudorandom undersampling scheme for SMS-bSSFP perfusion with compressed sensing reconstruction to increase in-plane acceleration of SMS-bSSFP imaging, enabling high spatial coverage and spatial resolution perfusion imaging at 1.5 T.

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