BETTER CONE-BEAM CT ARTIFACT CORRECTION VIA SPATIAL AND CHANNEL RECONSTRUCTION CONVOLUTION BASED ON UNSUPERVISED ADVERSARIAL DIFFUSION MODELS

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

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