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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3985
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zhongsen Li, Yu Ma, Jing Xiao, Ping Xie et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

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

Zhongsen Li, Yu Ma, Jing Xiao, Ping Xie, Wei Chen
article en

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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