Generation of Virtual Non-Contrast CT From Intravenous Enhanced CT in Radiotherapy Using Convolutional Neural Networks

Generation of Virtual Non-Contrast CT From Intravenous Enhanced CT in Radiotherapy Using Convolutional Neural Networks

Objective: To generate virtual non-contrast (VNC) computed tomography (CT) from intravenous enhanced CT through convolutional neural networks (CNN) and compare calculated dose among enhanced CT, VNC, and real non-contrast scanning.Method: 50 patients who accepted non-contrast and enhanced CT scannin...

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Bibliographic Details
Main Authors: Gao Liugang, Xie Kai, Li Chunying, Lu Zhengda, Sui Jianfeng, Lin Tao, Ni Xinye, Dai Jianrong
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Oncology
Subjects:
convolutional neural networks
radiotherapy
dose
enhanced CT
virtual non-contrast CT
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01715/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.01715/full

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