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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