AINeutralarXiv – CS AI · May 296/10
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A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging
Researchers propose a unified deep learning framework that synthesizes virtual monochromatic 50 keV CT images from standard single-energy CT scans by conditioning on contrast phase information. This approach addresses the clinical and cost barriers of dual-energy CT technology while maintaining diagnostic image quality across different contrast phases.