92 citations · 241 across the 20 of their papers we have counts for
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Sparse-View X-Ray CT Reconstruction Using Prior with Learned Transform
Xuehang Zheng, Il Yong Chun, Zhipeng Li +2
A major challenge in X-ray computed tomography (CT) is reducing radiation dose while maintaining high quality of reconstructed images. To reduce the radiation dose, one can reduce…
Image-domain multi-material decomposition for dual-energy CT based on correlation and sparsity of material images
Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang +1
Dual energy CT (DECT) enhances tissue characterization because it can produce images of basis materials such as soft-tissue and bone. DECT is of great interest in applications to m…
Low Dose CT Image Reconstruction With Learned Sparsifying Transform
Xuehang Zheng, Zening Lu, Saiprasad Ravishankar +2
A major challenge in computed tomography (CT) is to reduce X-ray dose to a low or even ultra-low level while maintaining the high quality of reconstructed images. We propose a new…
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
Xuehang Zheng, Saiprasad Ravishankar, Yong Long +1
The development of computed tomography (CT) image reconstruction methods that significantly reduce patient radiation exposure while maintaining high image quality is an important a…