Jieying Luo1, Nii Okai Addy1, R. Reeve Ingle1, Corey A. Baron1, Joseph Y. Cheng1, Bob S. Hu1,2, 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.