J Cardiovasc Magn Reson. 2024 Mar 21:101039. doi: 10.1016/j.jocmr.2024.101039. Online ahead of print.
ABSTRACT
BACKGROUND: MRI is an important imaging modality for the assessment and management of adult patients with congenital heart disease (CHD). However, conventional techniques for 3D whole-heart acquisition involve long and unpredictable scan times and methods that accelerate scans via k-space undersampling often rely on long iterative reconstructions. Deep-learning-based reconstruction methods have recently attracted much interest due to their capacity to provide fast reconstructions whilst often outperforming existing state-of-the-art methods. In this study, we sought to adapt and validate a non-rigid motion-corrected model-based deep-learning (MoCo-MoDL) reconstruction framework for 3D whole-heart MRI in a CHD patient cohort.
METHODS: The previously proposed deep-learning reconstruction framework MoCo-MoDL, which incorporates a non-rigid motion-estimation network and a denoising regularisation network within an unrolled iterative reconstruction, was trained in an end-to-end manner using 39 CHD patient datasets. Once trained, the framework was evaluated in 8 CHD patient datasets acquired with seven-fold prospective undersampling. Reconstruction quality was compared with the state-of-the-art non-rigid motion-corrected patch-based low-rank reconstruction method (NR-PROST) and against reference images (acquired with three-or-four-fold undersampling and reconstructed with NR-PROST).
RESULTS: Seven-fold undersampled scan times were 2.1 ± 0.3 minutes and reconstruction times were ~ 30 seconds, approximately 240 times faster than an NR-PROST reconstruction. Image quality comparable to the reference images was achieved using the proposed MoCo-MoDL framework, with no statistically significant differences found in any of the assessed quantitative or qualitative image quality measures. Additionally, expert image quality scores indicated the MoCo-MoDL reconstructions were consistently of a higher quality than the NR-PROST reconstructions of the same data, with the differences in 12 of the 22 scores measured for individual vascular structures found to be statistically significant.
CONCLUSION: The MoCo-MoDL framework was applied to an adult CHD patient cohort, achieving good quality 3D whole-heart images from ~ 2-minute scans with reconstruction times of ~ 30 seconds.
PMID:38521391 | DOI:10.1016/j.jocmr.2024.101039
