Li Feng1, 2, Jian Xu3, Leon Axel4, Daniel Sodickson4, Ricardo Otaz14
1Radiology , New York University School of Medicine, New York, United States; 2Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, United States; 3Siemens Medical Solutions, New York, United States; 4Radiology, New York University School of Medicine, New York, United States
Cardiac cine MRI is valuable for imaging myocardial function. High spatial and temporal resolutions are desirable to improve diagnostic utility. In this study, we propose a joint reconstruction algorithm that combines compressed sensing and parallel imaging for highly undersampled golden angle radial k-space acquisitions, to enable 2D real-time and 3D whole-heart cardiac cine MRI with previously inaccessible spatial and temporal resolution. The technique allows reconstruction of the same data set with different temporal resolutions. We demonstrate the feasibility of 2D real-time cine imaging with 11ms temporal resolution and 3D whole-heart cine imaging with an acquisition window of 22.4ms per partition.