A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging 事件

A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging arXiv:2605.29753v1 Announce Type: cross Abstract: Dual-energy CT (DECT) enables virtual monochromatic imaging (VMI) and improved contrast resolution, but its clinical adoption is limited by hardware complexity and cost. In this work, we propose a unified deep learning framework that synthesizes contrast-phase-specific virtual monochromatic 50 keV images from single-energy CT (SECT) data by leveraging cont