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arXiv · 2410.03624

HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss

Ruru Xu·Caner Özer·Ilkay Oksuz
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Abstract

Accelerating image acquisition for cardiac magnetic resonance imaging (CMRI) is a critical task. CMRxRecon2024 challenge aims to set the state of the art for multi-contrast CMR reconstruction. This paper presents HyperCMR, a novel framework designed to accelerate the reconstruction of multi-contrast cardiac magnetic resonance (CMR) images. HyperCMR enhances the existing PromptMR model by incorporating advanced loss functions, notably the innovative Eagle Loss, which is specifically designed to recover missing high-frequency information in undersampled k-space. Extensive experiments conducted on the CMRxRecon2024 challenge dataset demonstrate that HyperCMR consistently outperforms the baseline across multiple evaluation metrics, achieving superior SSIM and PSNR scores.

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Ruru Xu, Caner Özer, Ilkay Oksuz. 2024-10-04. HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss. https://arxiv.org/abs/2410.03624

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