Abstract #1800

Joint Motion Estimation and Image Reconstruction Using Alternating Minimization

Luonan Wang¹ and Daniel S Weller¹

¹Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States

This abstract provides a joint motion estimation and image reconstruction method for data acquired using a spiral pulse sequence. It forms a data fitting term with image and motion variables and uses alternating minimization with conjugate gradients to solve the nonlinear optimization problem. This approach will allow MR scanning to be more robust to non-rigid motion while still achieve fast image reconstruction. The new approach will enable MR imaging with children without sedation.

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