Abstract #0456

A Novel Concept for Motion Suppression Applied to Free-Breathing 3D Whole-Heart Coronary MRA: Respiratory Motion-Resolved Reconstruction

Davide Piccini^1,2, Li Feng³, Gabriele Bonanno², Simone Coppo², Jérôme Yerly^2,4, Ruth P. Lim⁵, Juerg Schwitter⁶, Daniel K. Sodickson³, Ricardo Otazo³, and Matthias Stuber^2,4

¹Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, ²Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ³Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York City, NY, United States, ⁴Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, ⁵Department of Radiology, Austin Health and The University of Melbourne, Melbourne, Australia, ⁶Division of Cardiology and Cardiac MR Center, University Hospital of Lausanne (CHUV), Lausanne, Switzerland

We hypothesize that sparse reconstruction algorithms can be exploited to reconstruct respiratory motion-resolved 3D MRA images of the heart without the need for breath-holding, navigators, or self-navigated respiratory motion correction. Phantom, volunteer, and patient acquisitions were performed and image quality was compared to 1D self-navigation for vessel sharpness, length and diagnostic quality. Respiratory motion-resolved reconstruction effectively suppresses respiratory motion artifacts with superior results with respect to self-navigation. Instead of discarding data or enforcing motion models for motion correction, motion-resolved reconstruction makes constructive use of all respiratory phases to improve image quality, and may lead coronary MRA closer to clinical practice.

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