Xiaomeng Shi
8 Papers
3 Citations
Xiaomeng Shi is an academic researcher. The author has contributed to research in topics: Medicine & Imaging phantom. The author has an hindex of 2, co-authored 7 publications.
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Papers
Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction algorithms: a phantom study
Jingyu Zhong,Yihan Xia,Yong Chen,Jianying Li,Wei Lu,Xiaomeng Shi,Jianxing Feng,Fuhua Yan,Weiwu Yao,Huan Zhang +9 more
TL;DR: DLIR improves DECT image quality in terms of signal- to-noise ratio and contrast-to- noise ratio compared with ASIR-V and showed the highest noise reduction rate and lowest peak frequency shift.
21
Robustness of CT radiomics features: consistency within and between single-energy CT and dual-energy CT
Yong Chen,Jingyu Zhong,Lan Wang,Xiaomeng Shi,Wei Lu,Jianying Li,Jianxing Feng,Yihan Xia,Rui Chang,Jing Fan,Liwei Chen,Ying Zhu,Fuhua Yan,Weiwu Yao,Huan Zhang +14 more
TL;DR: In this paper , the authors evaluated inter-and intra- scan mode and scanner repeatability and reproducibility of radiomics features within and between single energy CT (SECT) and dual-energy CT (DECT).
Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT
Jingyu Zhong,Hailin Shen,Yong Chen,Yihan Xia,Xiaomeng Shi,Jianying Li,Yue Xing,Yangfan Hu,Xiang Ge,Defang Ding,Weiwu Yao +10 more
TL;DR: DECT with DLIR-H yields a gain in objective detectability index compared to full-dose AV-40 SECT images used in daily practice, and subjective evaluation showed higher image quality and better detectability.
11
Multivendor Comparison of Quantification Accuracy of Iodine Concentration and Attenuation Measurements by Dual-Energy CT: A Phantom Study.
Yong Chen,Jingyu Zhong,Lan Wang,Xiaomeng Shi,Rui Chang,Jing Fan,Jiang Jiang,Yihan Xia,Fuhua Yan,Weiwu Yao,Huan Zhang +10 more
- 08 Jun 2022
TL;DR: Quantification accuracy varied among DECT configurations of varying vendors, platforms, and generations, and was also affected by acquisition and reconstruction parameters.
7
Correction to: Prediction of proton beam range in phantom with metals based on monochromatic energy CT images
TL;DR: In this article , an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/bync/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.