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Abstract #2141

Similarity-Based Angiography (SIMBA) for Fast Reconstruction of Static Whole-Heart Coronary MR Images from Free-Running Acquisitions

John Heerfordt1,2, Kevin K. Whitehead3, Jessica A.M. Bastiaansen1, Lorenzo Di Sopra1, Christopher W. Roy1, Jérôme Yerly1,4, Mark A. Fogel3, Matthias Stuber1,4, and Davide Piccini1,2
1Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 3Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

SIMilarity-Based Angiography (SIMBA) is a data-driven method for fast reconstruction of static whole-heart coronary MR angiograms from free-running acquisitions. By assessing the similarity of periodically acquired k-space readouts in the superior-inferior direction, motion-consistent angiograms can be obtained without making stringent assumptions about physiological motion. SIMBA demonstrated potential to reconstruct cardiac and respiratory motion-consistent images with visible coronary arteries both from non-contrast volunteer acquisitions at different field strengths and contrast-enhanced scans of pediatric patients. SIMBA provided improved sharpness and contrast compared to images from all the acquired data and similar vessel conspicuity as end-expiratory mid-diastolic frames of motion-resolved compressed sensing reconstructions.

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