Abstract #2577

Automatic Rigid-Body Motion Correction Via Phase Retrieval and Sparsity Constraints

Joseph Y. Cheng¹, Shreyas S. Vasanawala², Michael Lustig³, John M. Pauly⁴

¹Electrical Engineering, Stanford University, Stanford, CA, United States; ²Radiology, Stanford University, Stanford, CA, United States; ³Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States; ⁴Electrical Engineergin, Stanford University, Stanford, CA, United States

There have been major advancements in reducing motion corruption especially for rigid-body motion. Even with these methods, there may be residual artifacts due to motion measurement error. Automatic correction methods can be applied without any motion information. We propose a novel automatic approach using phase-retrieval and sparsity constraints. This approach is incorporated with parallel imaging and compressed sensing to help guide the correction. First, the accuracy of the algorithm is demonstrated in a simulation head study. Afterwards, the method is used to correct motion from conventional in vivo scans.