11 citations · 42 across the 13 of their papers we have counts for
9 papers · 1 filter
X-ray Monochromatic Imaging from Single-spectrum CT via Machine Learning
Wenxiang Cong, Bruno De Man, Ge Wang
In clinical CT system, the x-ray tube emits polychromatic x-rays, and the x-ray detectors operate in the current-integrating mode. This physical process is accurately described by…
Deep-learning-based Breast CT for Radiation Dose Reduction
Wenxiang Cong, Hongming Shan, Xiaohua Zhang +3
Cone-beam breast computed tomography (CT) provides true 3D breast images with isotropic resolution and high-contrast information, detecting calcifications as small as a few hundred…
Projection Decomposition for Dual-energy Computed Tomography
Wenxiang Cong, Daniel Harrison, Yan Xi +1
Dual-energy computed tomography (CT) is to reconstruct images of an object from two projection datasets generated from two distinct x-ray source energy spectra. It can provide more…
Monochromatic CT Image Reconstruction from Current-Integrating Data via Deep Learning
Wenxiang Cong, Ge Wang
In clinical CT, the x-ray source emits polychromatic x-rays, which are detected in the current-integrating mode. This physical process is accurately described by an energy-dependen…
Development of a focused-X-ray luminescence tomography (FXLT) system
Michael C Lun, Wei Zhang, Yue Zhao +4
Biophotonics is an active research area in molecular imaging, genetic diagnosis and prognosis, with direct applicability in precision medicine. However, long-standing challenges of…
Dynamic Bowtie for Fan-beam CT
Fenglin Liu, Ge Wang, Wenxiang Cong +2
A bowtie is a filter used to shape an x-ray beam and equalize its flux reaching different detector channels. For development of spectral CT with energy-discriminative photon-counti…