Abstract

Slow acquisitions and susceptibility to respiratory motion artifacts are major challenges in free-breathing 3D whole-heart coronary MR angiography (CMRA). Respiratory-resolved reconstruction approaches have been proposed to achieve 100% scan efficiency using mainly non-Cartesian acquisitions and exploiting sparsity in the respiratory dimension. However, irregular respirations compromise its suitability for Cartesian imaging. In this talk, I will describe a robust framework for Cartesian imaging, which provides high-quality respiratory-resolved images by incorporating motion information from image navigators (iNAV) to increase the sparsity in the respiratory dimension and to compensate for 2D translational motion within each respiratory phase. In addition, in this talk I will present another approach that provides a nonrigid motion-corrected CMRA image at a given respiratory phase, with improved coronary vessel sharpness.