5 papers
SCMA: Structure-Conditioned and Metal-Aware Flow Matching for CT Metal Artifact Reduction
Heran Wang, Jianing Sun, Xu Jiang +3
In X-ray CT, metallic objects cause beam hardening, photon starvation, and scattering, leading to projection inconsistency, streaks, dark bands, and structural distortions that com…
Beyond Fixed Inference: Quantitative Flow Matching for Adaptive Image Denoising
Jigang Duan, Genwei Ma, Xu Jiang +3
Diffusion and flow-based generative models have shown strong potential for image restoration. However, image denoising under unknown and varying noise conditions remains challengin…
Physics-Inspired Gaussian Kolmogorov-Arnold Networks for X-ray Scatter Correction in Cone-Beam CT
Xu Jiang, Huiying Pan, Ligen Shi +3
Cone-beam CT (CBCT) employs a flat-panel detector to achieve three-dimensional imaging with high spatial resolution. However, CBCT is susceptible to scatter during data acquisition…
Ring Artifacts Removal Based on Implicit Neural Representation of Sinogram Data
Ligen Shi, Xu Jiang, YunZe Liu +4
Inconsistent responses of X-ray detector elements lead to stripe artifacts in the sinogram data, which manifest as ring artifacts in the reconstructed CT images, severely degrading…
A Comprehensive Scatter Correction Model for Micro-Focus Dual-Source Imaging Systems: Combining Ambient, Cross, and Forward Scatter
Jianing Sun, Jigang Duan, Guangyin Li +2
Compared to single-source imaging systems, dual-source imaging systems equipped with two cross-distributed scanning beams significantly enhance temporal resolution and capture more…