Better Cone-Beam CT Artifact Correction via Spatial and Channel Reconstruction Convolution Based on Unsupervised Adversarial Diffusion Models
Cone-Beam Computed Tomography (CBCT) holds significant clinical value in image-guided radiotherapy (IGRT).However, CBCT images of low-density soft tissues are often plagued with artifacts and noise, which can lead to missed diagnoses and misdiagnoses.We propose a new unsupervised CBCT image artifact correction algorithm, named Spatial Convolution D