COCOA and Its Combination with Prospective Motion Compensation for Robust Carotid MRI

Feng Huang¹, Xihai Zhao², Le He², George Randy Duensing³, Chun Yuan², ⁴

Due to the long acquisition time, the image quality of Carotid MRI is vulnerable to involuntary motions. COCOA, as a retrospective method, can suppress the random motion artifacts, such as swallowing; but cannot totally remove strong motion artifacts, such as serious head motion. Prospective motion detection and data re-acquisition method is efficient for strong random motion artifacts, but could have residual motion artifacts to balance acquisition efficiency and motion correction. The combination of retrospective and prospective motion compensation method is proposed. Preliminary results demonstrate that the proposed method can consistently and dramatically reduce motion artifacts with moderately prolonged acquisition time.