51 citations · 99 across the 6 of their papers we have counts for
6 papers
One-step Iterative Estimation of Effective Atomic Number and Electron Density for Dual Energy CT
Qian Wang, Huiqiao Xie, Tonghe Wang +7
Dual-energy computed tomography (DECT) is a promising technology that has shown a number of clinical advantages over conventional X-ray CT, such as improved material identification…
AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT
Qiaoqiao Ding, Yuesong Nan, Hao Gao +1
Low-dose CT (LDCT) imaging is desirable in many clinical applications to reduce X-ray radiation dose to patients. Inspired by deep learning (DL), a recent promising direction of mo…
A preliminary study on a multi-resolution-level inverse planning algorithm for Gamma Knife radiosurgery
Zhen Tian, Xiaofeng Yang, Matt Giles +5
Manual forward planning for GK radiosurgery is complicated and time-consuming, particularly for cases with large or irregularly shaped targets. Inverse planning eases GK planning b…
Low-Dose CT with Deep Learning Regularization via Proximal Forward Backward Splitting
Qiaoqiao Ding, Gaoyu Chen, Xiaoqun Zhang +2
Low dose X-ray computed tomography (LDCT) is desirable for reduced patient dose. This work develops image reconstruction methods with deep learning (DL) regularization for LDCT. Ou…
Fused Analytical and Iterative Reconstruction (AIR) via modified proximal forward-backward splitting: a FDK-based iterative image reconstruction example for CBCT
Hao Gao
This work is to develop a general framework, namely analytical iterative reconstruction (AIR) method, to incorporate analytical reconstruction (AR) method into iterative reconstruc…
Omni-tomography/Multi-tomography -- Integrating Multiple Modalities for Simultaneous Imaging
Ge Wang, Jie Zhang, Hao Gao +8
Current tomographic imaging systems need major improvements, especially when multi-dimensional, multi-scale, multi-temporal and multi-parametric phenomena are under investigation.…