基于深度学习方法的伪CT图像合成技术研究及在放疗中的应用进展

Hongfei Sun; Xinye Ni; Jianhua Yang

doi:10.3760/cma.j.issn.0254-5098.2021.03.012

基于深度学习方法的伪CT图像合成技术研究及在放疗中的应用进展

Translated title of the contribution: Research on pseudo CT image synthesis technology based on deep learning method and its application in radiotherapy

Hongfei Sun, Xinye Ni, Jianhua Yang

School of Automation

Research output: Contribution to journal › Review article › peer-review

1 Scopus citations

Abstract

With the improvement of the complexity of medical image synthesis and the demand for the accuracy of clinical radiotherapy, deep learning algorithm plays an increasingly important role in pseudo CT image synthesis and analysis. This paper classifies and analyzes the pseudo CT image synthesis technology based on deep learning method in terms of the types of image modes, and describes the ongoing application in radiotherapy.

Translated title of the contribution	Research on pseudo CT image synthesis technology based on deep learning method and its application in radiotherapy
Original language	Chinese (Traditional)
Pages (from-to)	222-228
Number of pages	7
Journal	Chinese Journal of Radiological Medicine and Protection
Volume	41
Issue number	3
DOIs	https://doi.org/10.3760/cma.j.issn.0254-5098.2021.03.012
State	Published - 25 Mar 2021

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title = "基于深度学习方法的伪CT图像合成技术研究及在放疗中的应用进展",

abstract = "With the improvement of the complexity of medical image synthesis and the demand for the accuracy of clinical radiotherapy, deep learning algorithm plays an increasingly important role in pseudo CT image synthesis and analysis. This paper classifies and analyzes the pseudo CT image synthesis technology based on deep learning method in terms of the types of image modes, and describes the ongoing application in radiotherapy.",

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AU - Ni, Xinye

AU - Yang, Jianhua

PY - 2021/3/25

Y1 - 2021/3/25

N2 - With the improvement of the complexity of medical image synthesis and the demand for the accuracy of clinical radiotherapy, deep learning algorithm plays an increasingly important role in pseudo CT image synthesis and analysis. This paper classifies and analyzes the pseudo CT image synthesis technology based on deep learning method in terms of the types of image modes, and describes the ongoing application in radiotherapy.

AB - With the improvement of the complexity of medical image synthesis and the demand for the accuracy of clinical radiotherapy, deep learning algorithm plays an increasingly important role in pseudo CT image synthesis and analysis. This paper classifies and analyzes the pseudo CT image synthesis technology based on deep learning method in terms of the types of image modes, and describes the ongoing application in radiotherapy.

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KW - Image guided radiotherapy

KW - Pseudo CT

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M3 - 文献综述

AN - SCOPUS:85105741307

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IS - 3

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基于深度学习方法的伪CT图像合成技术研究及在放疗中的应用进展

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