294 citations · 1.8k across the 62 of their papers we have counts for
4 papers · 2 filters
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…
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels
Gopal Nataraj, Jon-Fredrik Nielsen, Clayton Scott +1
This paper introduces a fast, general method for dictionary-free parameter estimation in quantitative magnetic resonance imaging (QMRI) via regression with kernels (PERK). PERK fir…
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…