4 papers · 1 filter
Wavelet-Optimized Pseudo-3D Accelerated Diffusion Model for Truncated Computed Laminography
Genyuan Zhang, Junyao Wang, Chuandong Tan +2
Computed Laminography (CL) is a key technology for the nondestructive testing of large plate-shaped objects. However, field-of-view (FOV) limitations inevitably lead to truncation…
Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction
Genyuan Zhang, Junyao Wang, Haoran Lan +3
Cone-beam computed tomography (CBCT) frequently suffers from data truncation, which introduces severe artifacts and limits the effective field of view (FOV). Existing deep learning…
RCL-Mamba: A Dual-domain State Space Model for Measurement-oriented Image Restoration in Rotational Sparse-View Scanning Computed Laminography
Xuyang Duan, Genyuan Zhang, Zhenjiang Dong +4
Rotational Scanning Computed Laminography (RCL) is widely utilized for the Non-Destructive Testing (NDT) of large planar components. However, to facilitate rapid inspection, contin…
Structure-constrained Language-informed Diffusion Model for Unpaired Low-dose Computed Tomography Angiography Reconstruction
Genyuan Zhang, Zihao Wang, Zhifan Gao +10
The application of iodinated contrast media (ICM) improves the sensitivity and specificity of computed tomography (CT) for a wide range of clinical indications. However, overdose o…