AI RESEARCH
Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling
arXiv CS.CV
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ArXi:2604.07329v1 Announce Type: new Photon-counting CT (PCCT) provides superior image quality with higher spatial resolution and lower noise compared to conventional energy-integrating CT (EICT), but its limited clinical availability restricts large-scale research and clinical deployment. To bridge this gap, we propose SUMI, a simulated degradation-to-enhancement method that learns to reverse realistic acquisition artifacts in low-quality EICT by leveraging high-quality PCCT as reference.