Automatic ROI Specification and Reference Frame Selection for Motion Correction in Cardiac Imaging

Keywords

achieving agree aliasing angiography anterior applied approaches artery artifacts audience automated automatic automatically automation axes blurring boundaries boundary breathing cardiac cars chest closely combination common comparable component cones contracted convolution coronal coronary correct corrected correction correlates covering customized datasets decomposition derived described desirable detect detected detecting detection determining developed diaphragm directly early efficient electrical eleven empirical enables enabling engineering estimation even every exceeding exist expiration fast feature features filter filtering finally frame free fully good heart heartbeat histogram identifying inferior intensity lead least little locate lung major manual manually many matrices minor motion multiphase navigator navigators negligible next object optimized outliers patient period physicists pixels position posterior principal quality realized recent rectangular reduction reeve reformatted required resolution respiratory retrospectively scaling searching selected selecting selection shape singular slightly sometimes specification specified spiral squares studies successful superior target temporal terms track tracked tracks trajectories transform vector vectors verified volunteer white whole yellow yields