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 Sébastien 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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