CAS-GAN for Contrast-free Angiography Synthesis

• URL: http://arxiv.org/abs/2410.08490v3
• Date: Fri, 13 Dec 2024 15:49:03 GMT
• Title: CAS-GAN for Contrast-free Angiography Synthesis
• Abstract summary: Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients.<n>This paper presents CAS-GAN, a novel GAN framework that serves as a "virtual contrast agent" to synthesize X-ray angiographies.<n> Experimental results on the XCAD demonstrate the state-of-the-art performance of our CAS-GAN, achieving a FID of 5.87 and a MMD of 0.016.
• Score: 15.450328147657531
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients. This paper presents CAS-GAN, a novel GAN framework that serves as a "virtual contrast agent" to synthesize X-ray angiographies via disentanglement representation learning and vessel semantic guidance, thereby reducing the reliance on iodinated contrast agents during interventional procedures. Specifically, our approach disentangles X-ray angiographies into background and vessel components, leveraging medical prior knowledge. A specialized predictor then learns to map the interrelationships between these components. Additionally, a vessel semantic-guided generator and a corresponding loss function are introduced to enhance the visual fidelity of generated images. Experimental results on the XCAD dataset demonstrate the state-of-the-art performance of our CAS-GAN, achieving a FID of 5.87 and a MMD of 0.016. These promising results highlight CAS-GAN's potential for clinical applications.

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