Synopsis
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365-02-008
ISMRM Abstract
Denoising DENSE MRI with Deep Learning for Accurate Myocardial Strain Quantification
Accepted
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1. Auger DA, Ghadimi S, Cai X, et al. Reproducibility of global and segmental myocardial strain using cine DENSE at 3T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease. J Cardiovasc Magn Reson. 2022;24(1):23. doi:10.1186/s12968-022-00851-7. [doi]
2. Ghadimi S, Abdi M, Epstein FH. Improved computation of Lagrangian tissue displacement and strain for cine DENSE MRI using a regularized spatiotemporal least squares method. Front Cardiovasc Med. 2023;10:1095159. doi:10.3389/fcvm.2023.1095159. [doi]
3. Ghadimi S, Auger DA, Feng X, et al. Fully automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping. J Cardiovasc Magn Reson. 2021;23(1):20. doi:10.1186/s12968-021-00712-9. [doi]
Cite this abstract
http://echo.ismrm.org/p/ISMRM2026/365-02-008