Meeting Banner
Abstract #1157

Accelerated Whole-Heart Coronary Imaging Using Multiple Breath-Holds and Compressed Sensing Monitored by Self-Navigation

Christoph Forman1, 2, Davide Piccini1, Jana Hutter1, 2, Robert Grimm1, Joachim Hornegger1, 3, Michael O. Zenge4

1Pattern Recognition Lab, University of Erlangen-Nuremberg, Erlangen, Germany; 2Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany; 3Erlangen Graduate School in Advanced Optical Technologies (SAOT), , Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany; 4MR Application & Workflow Development, Siemens AG, Healthcare Sector, Erlangen, Germany


Current research in whole-heart coronary MR imaging is driven by acceleration of scan time. On the one hand, self-navigation was introduced to improve the efficiency of conventional navigator-gated examinations. On the other hand, compressed sensing was proposed for acceleration of data acquisition. In this work, a novel incoherent Cartesian sampling pattern is used for imaging the coronary imaging in multiple breath-holds. Self-navigation properties are exploited for a real-time supervision the respiratory phase during breath-hold. In this way, misregistration of consecutive acquisitions could be avoided. The proposed method was compared with the navigator-gated approach in 4 volunteers.