Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xihua, Shi"'
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 30, Iss , Pp 100582- (2024)
This study investigates the use of contrast-enhanced magnetic resonance (MR) in MR-guided adaptive radiotherapy (MRgART) for upper abdominal tumors. Contrast-enhanced T1-weighted MR (cT1w MR) using half doses of gadoterate was used to guide daily ada
Externí odkaz:
https://doaj.org/article/1d0ee7bed27046b4a879ce4d26ea2034
Autor:
Huadong Wang, Xin Liu, Yajun Song, Peijun Yin, Jingmin Zou, Xihua Shi, Yong Yin, Zhenjiang Li
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
ObjectiveWe proposed a scheme for automatic patient-specific segmentation in Magnetic Resonance (MR)-guided online adaptive radiotherapy based on daily updated, small-sample deep learning models to address the time-consuming delineation of the region
Externí odkaz:
https://doaj.org/article/3d795c6cf0ab40d8bf2d869b84ba67c2
Autor:
Mengdi, Sun, Ahmad, Baiyasi, Xuechun, Liu, Xihua, Shi, Xu, Li, Jian, Zhu, Yong, Yin, Jiani, Hu, Zhenjiang, Li, Baosheng, Li
Publikováno v:
Physica Medica. 96:130-139
Quantitative radiomics features extracted from medical images have been shown to provide value in predicting clinical outcomes. The study for robustness and reproducibility of radiomics features obtained with magnetic resonance image guided linear ac
Autor:
Peijun Yin, Gang Yu, Chuanke Hou, Xuechun Liu, Mengdi Sun, Kuo Li, Zhen Cui, Pei Liu, Xihua Shi, Qiang Zhang, Yukai Chen, Bingjie Pi, Yong Yin, Zhenjiang Li
Publikováno v:
Physics in Medicine & Biology. 68:10NT02
Purpose. Accurate image registration is an important step in online image-guided adaptive radiotherapy. The aim of this study was to investigate the effects of different factors on registration accuracy in a magnetic resonance (MR)-guided adaptive ra