Efficient motion-corrected image reconstruction for 3D cardiac MRI through stochastic optimisation

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Stochastic algorithms converge faster for motion-corrected image reconstruction than deterministic methods, enhancing efficiency.
Phantom experiments show improved reconstruction times and computational effort with the SPDHG algorithm.
The method validates effectively through an in vivo 3D cardiac MRI scan, displaying resilience to motion artefacts.
This approach eliminates the need to balance accuracy and computation when correcting for multiple motion states.

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Stochastic optimisation improves image reconstruction speed in cardiac MRI, suggesting efficiency with irregular breathing.

Protopapa et al. (2025) studied this question.

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