Unsupervised Deep Learning Framework for Accelerated LGE MRI Acquisition with Enhanced Image Reconstruction

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Observational analysis improved image reconstruction quality in 3D LGE MRI, indicating enhanced clinical workflow.

The CNN-based Deep Image Prior Network achieved clinical-quality reconstructions in one-fourth of traditional acquisition time.
Reconstructions demonstrated high-resolution isotropic datasets, capturing essential imaging details in 2-4 minutes.
Using a variable density acquisition enhances the efficiency of LGE MRI scans, significantly benefiting patient comfort.
The study offers potential for broader accessibility to high-quality 3D LGE imaging for atrial fibrillation patients.

Hisham et al. (2025) studied this question.

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