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Abstract #0215

Free-running 3D anatomical and flow MRI using Synchronization of Neighboring Acquisitions by Physiological Signals (SyNAPS)

Mariana B. L. Falcão1, Adèle L.C. Mackowiak1, Simone Rumac1, Mario Bacher1,2, Giulia Rossi1, Milan Prša3, Estelle Tenisch1, Tobias Rutz4, Jessica Bastiaansen1,5,6, Ruud Van Heeswijk1, Peter Speier2, Michael Markl7,8, Matthias Stuber1,9, and Christopher W. Roy1
1Department of Diagnostic and Interventional Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Woman- Mother- Child Department, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 4Service of Cardiology, Centre de Resonance Magn├ętique Cardiaque (CRMC), University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), University hospital Bern (Inselspital), Bern, Switzerland, 6Translational Imaging Center, sitem-insel, Bern, Switzerland, 7Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 8Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States, 9Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

Synopsis

We introduce a novel method for combining multiple free-running MRI acquisitions together, through the use of cardiac and respiratory signal extraction with Pilot Tone navigation called Synchronization of Neighboring Acquisitions by Physiological Signals (SyNAPS). We demonstrate the initial feasibility and utility of SyNAPS on a setup for joint reconstruction of back-to-back dynamic anatomical and flow MRI acquisitions, here named 4D flow SyNAPS. Overall, 4D flow SyNAPS enabled an improved structural visualization, when compared to the magnitude images from free-running 4D flow datasets alone, and the resulting flow measurements showed better agreement with reference 2D flow acquisitions.

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