2 citations · 5 across the 4 of their papers we have counts for
4 papers
A Plug-and-Play Untrained Neural Network for Full Waveform Inversion in Reconstructing Sound Speed Images of Ultrasound Computed Tomography
Weicheng Yan, Qiude Zhang, Yun Wu +5
Ultrasound computed tomography (USCT), as an emerging technology, can provide multiple quantitative parametric images of human tissue, such as sound speed and attenuation images, d…
Segmentation-Free X-ray Energy Spectrum Estimation for Computed Tomography Using Dual-Energy Material Decomposition
Wei Zhao, Lei Xing, Qiude Zhang +2
X-ray energy spectrum plays an essential role in computed tomography (CT) imaging and related tasks. Due to the high photon flux of clinical CT scanners, most of spectrum estimatio…
Segmentation-free x-ray energy spectrum estimation for computed tomography
Wei Zhao, Qiude Zhang, Tianye Niu
X-ray energy spectrum plays an essential role in imaging and related tasks. Due to the high photon flux of clinical CT scanners, most of the spectrum estimation methods are indirec…
Energy Spectrum Extraction and Optimal Imaging via Dual-Energy Material Decomposition
Wei Zhao, Lu Wan, Bo Zhang +2
Inferior soft-tissue contrast resolution is a major limitation of current CT scanners. The aim of the study is to improve the contrast resolution of CT scanners using dual-energy a…