Abstract #1842

A Nonrigid-Motion-Correction Method for Coronary Magnetic Resonance Angiography Using 3D Image-based Navigators

Jieying Luo¹, Nii Okai Addy¹, R. Reeve Ingle¹, Corey A. Baron¹, Joseph Y. Cheng¹, Bob S. Hu^1,2, and Dwight G. Nishimura¹

¹Electrical Engineering, Stanford University, Stanford, CA, United States, ²Palo Alto Medical Foundation, Palo Alto, CA, United States

3D image-based navigators (iNAVs) offer the potential to achieve more complete motion correction for coronary magnetic resonance angiography (CMRA). In this work, we develop a method for 3D-iNAV processing to achieve nonrigid motion correction. Both global and localized motion trajectories are extracted from the 3D iNAVs and used to generate candidate motion-corrected images for an autofocus method. Two sets of localized motion trajectories are obtained from deformation fields between 3D iNAVs and reconstructed binned images respectively. Results with this method on whole-heart 3D cones CMRA scans demonstrated improved vessel sharpness as compared to 3D translational motion correction.

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