5 papers
Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
Haodong Li, Shuo Han, Haiyang Mao +5
Sparse-View CT (SVCT) reconstruction enhances temporal resolution and reduces radiation dose, yet its clinical use is hindered by artifacts due to view reduction and domain shifts…
Clinical Metadata Guided Limited-Angle CT Image Reconstruction
Yu Shi, Shuyi Fan, Changsheng Fang +6
Limited-angle computed tomography (LACT) offers improved temporal resolution and reduced radiation dose for cardiac imaging, but suffers from severe artifacts due to truncated proj…
PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction
Changsheng Fang, Yongtong Liu, Bahareh Morovati +3
In computed tomography (CT), reducing the number of projection views is an effective strategy to lower radiation exposure and/or improve temporal resolution. However, this often re…
Large Language Model Evaluated Stand-alone Attention-Assisted Graph Neural Network with Spatial and Structural Information Interaction for Precise Endoscopic Image Segmentation
Juntong Fan, Shuyi Fan, Debesh Jha +4
Accurate endoscopic image segmentation on the polyps is critical for early colorectal cancer detection. However, this task remains challenging due to low contrast with surrounding…
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
Changsheng Fang, Yongtong Liu, Bahareh Morovati +5
Sparse-view computed tomography (CT) is a practical solution to reduce radiation dose, but the resulting ill-posed inverse problem poses significant challenges for accurate image r…