Bo Li1, Bin Chen2, Shuangxi Ji1, Li Dong3, Zhaoqi Zhang3, Wenchao Cai4, Xiaoying Wang4, Jue Zhang1, 2, Jing Fang1, 2
1College of Engineering, Peking University, Beijing, China; 2Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; 3Dept. of Radiology, An Zhen Hospital, Beijing, China; 4Dept. of Radiology, Peking University First Hospital, Beijing, China
High-resolution 3D-MERGE technique based black-blood imaging has been reported to quantitatively measure carotid atherosclerotic plaque morphology and tissue composition. However, it brings about relative long time consuming due to the use of motion-sensitized preparation. Nevertheless, compressed sensing (CS) can improve temporal resolution by reconstructing images from a dramatically small number of data without introducing severe image artifacts. Therefore we investigate the feasibility of the fast 3D-MERGE imaging using CS reconstruction. Moreover, compared to the fully k-space sampling approach, we verified whether or not the CS based 3D MERGE images could provide appropriate blood signal suppression and comparable details.