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Abstract #2009

GRASP with Motion Compensation for DCE-MRI of the Abdomen

Koji Fujimoto1, Li Feng1, Rocardo Otazo1, Kai Tobias Block1, Henry Rusinek1, Nicole Wake1, and Hersh Chandarana1

1Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States

A method to combine information of respiratory states with a non-rigid motion model is proposed to reconstruct motion-compensated 4D images of dynamic-contrast enhanced MRI with high temporal resolution. Abdominal DCE-GRASP MRI was reconstructed by grouping 4 consecutive spokes as one dynamic frame (0.6sec/frame). Respiratory motion was obtained from central k-space data (as in XD-GRASP). A temporal TV constraint was applied separately for each respiratory state. By using an optical-flow algorithm, four sets of motion vectors were obtained. Motion-compensated GRASP reconstruction was performed by including the motion vectors and showed improved image quality and reduced motion blurring.

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