VesselSDF: Distance Field Priors for Vascular Network Reconstruction
VesselSDF is a two-stage framework that uses signed distance fields (SDFs) to reconstruct vessels from medical images. It first predicts a binary vessel map using a 3D U-Net, and then refines this into a continuous SDF guided by geometric constraints. This method overcomes issues like jagged surfaces and floating artifacts, leading to more accurate reconstructions of thin and complex vessels.