HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss
<|reference_start|>HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss: 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.<|reference_end|>
@article{xu2024hypercmr:,
    title={HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss},
    author={Ruru Xu, Caner "Ozer, Ilkay Oksuz},
    journal={arXiv preprint arXiv:2410.03624},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.03624},
    primaryClass={eess.IV cs.CV}
}