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Abstract #4544

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

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

1Philips Healthcare, Beijing, China; 2Center for Biomedical Imaging Research, TsingHua University, Beijing, China; 3Philips Healthcare, Gainesville, FL, United States; 4University of Washington, Seattle, WA, United States

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.