Mehdi Hedjazi Moghari *1, Mehmet Akakaya *,12, Alan O'Connor, 12, Peng Hu1, Vahid Tarokh2, Warren J. Manning1, Reza Nezafat1
1Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States; 2Harvard University, Cambridge, MA, United States
We examine the feasibility of using compressed sensing to reduce artifacts due to respiratory motion. Respiratory motion causes image artifacts and ghosting in cardiac imaging. Respiratory navigators are one of the methods used to mitigate these artifacts for free-breathing scans, where k-space lines falling outside a pre-defined gating window are reacquired until the whole k-space is filled. In this study, we introduce CoSMo, a compressed sensing-based method for reconstructing images without having to reacquire k-space lines rejected by the navigator.