Publications

Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace Models

Published in Statistical Atlases and Computational Models of the Heart, 2024

This is our submission to the CMRxRecon parametric mapping reconstruction challenge from the STACOM 2023 conference.

Recommended citation: Sheagren, C.D., Kadota, B.T., Patel, J.H., Chiew, M., Wright, G.A. (2024). Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace Models. In: Camara, O., et al. Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers. STACOM 2023. Lecture Notes in Computer Science, vol 14507. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-52448-6_35

Motion-Compensated T1 Mapping in Cardiovascular Magnetic Resonance Imaging: A Technical Review

Published in Frontiers in Cardiovascular Medicine, 2023

This paper is a review article on methods in motion-compensated T1 mapping in CMR imaging.

Recommended citation: Sheagren CD, Cao T, Patel JH, Chen Z, Lee H-L, Wang N, Christodoulou AG and Wright GA (2023) Motion-compensated T1 mapping in cardiovascular magnetic resonance imaging: a technical review. Front. Cardiovasc. Med. 10:1160183. doi: 10.3389/fcvm.2023.1160183 https://www.frontiersin.org/articles/10.3389/fcvm.2023.1160183/full