Abstract #4203

Non-rigid Motion Correction using Localized PROPELLER and Low-Rank Minimization

Joseph Y. Cheng¹, Mariya Doneva², Tao Zhang¹, John M. Pauly³, Shreyas S. Vasanawala¹, and Michael Lustig²

¹Radiology, Stanford University, Stanford, CA, United States, ²Electrical Engineering & Computer Sciences, University of California, Berkeley, CA, United States, ³Electrical Engineering, Stanford University, Stanford, CA, United States

A major obstacle in MRI is artifacts from patient motion. This is especially challenging for pediatric imaging where anesthesia is often required to obtain diagnostic image quality from uncooperative patients. Thus, we developed a PROPELLER-based method to correct for non-rigid motion. Simple localized motion is estimated for each spatial region by first applying a spatial window to the image data. Low-rank minimization is used to iteratively estimate the motion without the need of determining a reference motion state and to potentially enable higher-resolution navigation. The final image is constructed via autofocusing. This approach is demonstrated in free-breathing abdominal scans of healthy and patient volunteers.

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