Efficient post-processing of diffusion tensor cardiac magnetic imaging using texture-conserving deformable registration

Fanwen Wang; Pedro F. Ferreira; Yinzhe Wu; Camila Munoz; Ke Wen; Yaqing Luo; Jiahao Huang; Dudley J. Pennell; Andrew D. Scott; Sonia Nielles-Vallespin; Guang Yang

doi:10.1117/12.2689251

2 April 2024 Efficient post-processing of diffusion tensor cardiac magnetic imaging using texture-conserving deformable registration

Fanwen Wang, Pedro F. Ferreira, Yinzhe Wu, Camila Munoz, Ke Wen, Yaqing Luo, Jiahao Huang, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang

Author Affiliations +

Proceedings Volume 12930, Medical Imaging 2024: Clinical and Biomedical Imaging; 129300T (2024) https://doi.org/10.1117/12.2689251
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Diffusion tensor cardiac magnetic resonance (DT-CMR) is a method capable of providing non-invasive measurements of myocardial microstructure. Image registration is essential to correct image shifts due to intra and inter breath-hold motion and imperfect cardiac triggering. Registration is challenging in DT-CMR due to the low signal-to-noise and various contrasts induced by the diffusion encoding in the myocardium and surrounding organs. Traditional deformable registration corrects through-plane motion but at the risk of destroying the texture information while rigid registration inefficiently discards frames with local deformation. In this study, we explored the possibility of deep learning-based deformable registration on DT-CMR. Based on the noise suppression using low-rank features and diffusion encoding suppression using variational auto encoder-decoder, a B-spline based registration network extracted the displacement fields and maintained the texture features of DT-CMR. In this way, our method improved the efficiency of frame utilization, manual cropping, and computational speed.

Citation Download Citation

Fanwen Wang, Pedro F. Ferreira, Yinzhe Wu, Camila Munoz, Ke Wen, Yaqing Luo, Jiahao Huang, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles-Vallespin, and Guang Yang "Efficient post-processing of diffusion tensor cardiac magnetic imaging using texture-conserving deformable registration", Proc. SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 129300T (2 April 2024); https://doi.org/10.1117/12.2689251

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