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This is a Quantitative Study study.

Self-supervised motion-corrected reconstruction for single heartbeat cardiac cine MRI at 1.5T and 0.55T using PINNs and Deep Image Prior

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MC-DIP achieves high-quality single heartbeat TR-resolved cardiac cine imaging at both 1.5T and 0.55T, enhancing resolution.
This method surpasses existing state-of-the-art techniques in motion-corrected reconstruction, providing better outcomes.
Utilizing undersampled radial data, it employs a hybrid approach of neural field physics-informed network and deep image prior.
The technology's capability to reduce scan times is significant for dynamic cardiac imaging, improving patient experiences.

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Novel self-supervised motion estimation improves cardiac cine imaging resolution, indicating reduced scan times at 1.5T and 0.55T.

Catalán et al. (2025) studied this question.

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