What type of study is this?

This is a Quantitative Study study.

September 17, 2025

Contrast-enhanced Cardiac MRI Generation Using Contrast-free Cardiac Cine MRI

Key Points

Cine2LGE produces LGE images that closely match actual images, with fewer artifacts.
The method demonstrates effective enhancement generation in patients unable to receive contrast.
External validation shows consistency in generated images compared to traditional methods.
Adopting diffusion models in cardiology may provide significant advantages for specific patient populations.

Abstract

Motivation: Generating late gadolinium enhancement (LGE) images from contrast-free cardiac magnetic resonance (CMR) images is crucial for patients with severe renal failure or contrast agent allergies. Goal(s): This study aims to develop a method that can generate LGE images from cine images based on diffusion models. Approach: We introduced a novel multi-task diffusion model that generates LGE images from contrast-free cine images and evaluate the probability of enhancement presence in LGE images based on cine images. Results: In external validation, Cine2LGE generates LGE images with good consistency compared to actual LGE images, exhibiting fewer artifacts and improved contrast. Impact: We demonstrate the potential of diffusion models in generating LGE using contrast-free cine images. The proposed method is expected to provide a valuable alternative for patients who cannot obtain LGE images due to contraindications.

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