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Nonrigid Motion Correction With 3D Image‐Based Navigators for Coronary MR Angiography
Author(s) -
Luo Jieying,
Addy Nii Okai,
Ingle R. Reeve,
Baron Corey A.,
Cheng Joseph Y.,
Hu Bob S.,
Nishimura Dwight G.
Publication year - 2017
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26273
Subject(s) - magnetic resonance imaging , translation (biology) , computer vision , artificial intelligence , motion (physics) , breathing , computer science , magnetic resonance angiography , rotation (mathematics) , nuclear medicine , medicine , radiology , anatomy , biochemistry , chemistry , messenger rna , gene
Purpose To develop a retrospective nonrigid motion‐correction method based on 3D image‐based navigators (iNAVs) for free‐breathing whole‐heart coronary magnetic resonance angiography (MRA). Methods The proposed method detects global rigid‐body motion and localized nonrigid motion from 3D iNAVs and compensates them with an autofocusing algorithm. To model the global motion, 3D rotation and translation are estimated from the 3D iNAVs. Two sets of localized nonrigid motions are obtained from deformation fields between 3D iNAVs and reconstructed binned images, respectively. A bank of motion‐corrected images is generated and the final image is assembled pixel‐by‐pixel by selecting the best focused pixel from this bank. In vivo studies with six healthy volunteers were conducted to compare the performance of the proposed method with 3D translational motion correction and no correction. Results In vivo studies showed that compared to no correction, 3D translational motion correction and the proposed method increased the vessel sharpness by 13% ± 13% and 19% ± 16%, respectively. Out of 90 vessel segments, 75 segments showed improvement with the proposed method compared to 3D translational correction. Conclusion We have developed a nonrigid motion‐correction method based on 3D iNAVs and an autofocusing algorithm that improves the vessel sharpness of free‐breathing whole‐heart coronary MRA. Magn Reson Med 77:1884–1893, 2017. © 2016 International Society for Magnetic Resonance in Medicine