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.
Keywords