# VascuSR

Vessels reconstructed from low-resolution contrast-enhanced CT can come out broken, spurious, or wrongly connected, and image-quality metrics do not capture those structural errors. VascuSR separates vascular structure from CT intensity reconstruction: a conditional 3D rectified-flow refiner corrects vessels in label space, a lightweight controller injects the refined structure into the diffusion decoder, and each new super-resolved volume re-extracts the structure for the next round. On re-annotated MSD Task08 and HVM, it beats interpolation and learning-based baselines in Dice and clDice, cuts class-averaged connected-component counts by over 20% on both datasets and mean centerline distance by over 10% on MSD, while keeping image quality comparable to its SR backbone.

Vessels reconstructed from low-resolution contrast-enhanced CT can come out broken, spurious, or wrongly connected, and image-quality metrics do not capture those structural errors. VascuSR separates vascular structure from CT intensity reconstruction: a conditional 3D rectified-flow refiner corrects vessels in label space, a lightweight controller injects the refined structure into the diffusion decoder, and each new super-resolved volume re-extracts the structure for the next round. On re-annotated MSD Task08 and HVM, it beats interpolation and learning-based baselines in Dice and clDice, cuts class-averaged connected-component counts by over 20% on both datasets and mean centerline distance by over 10% on MSD, while keeping image quality comparable to its SR backbone.