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Abstract #4533

Highly Accelerated Multi-Contrast Carotid Imaging Using Sharable Information

Wenchuan Wu1, Hua Guo1, Chun Yuan1, 2, George Randy Duensing3, Feng Huang4

1Center for Biomedical Imaging Research, Department of Biomedical Engineering,School of Medicine, Tsinghua University, Beijing, China; 2Department of Radiology, University of Washington, Seattle, WA, United States; 3Philips Healthcare, Gainesville, FL, United States; 4Philips Healthcare, Beijing, China

In this study, sharable information from multi-contrast carotid scans were extracted and applied to improved partially parallel imaging. Preliminary results show that proposed method can achieve superior image quality than traditional PPI method, and diagnostic information were mostly preserved during the reconstruction.