Application of deep learning in brachytherapy
10.3760/cma.j.cn113030-20230816-00052
- VernacularTitle:深度学习在近距离放射治疗中的应用
- Author:
Dezheng CAO
1
;
Xinye NI
Author Information
1. 南京医科大学附属常州第二人民医院放疗科/江苏省医学物理工程研究中心/南京医科大学医学物理中心实验室/常州市医学物理重点实验室，常州 213003
- Keywords:
Brachytherapy;
Deep learning;
Radiotherapy, image-guided;
Artificial intelligence
- From:
Chinese Journal of Radiation Oncology
2024;33(8):778-783
- CountryChina
- Language:Chinese
-
Abstract:
Brachytherapy is a kind of radiation therapy corresponding to external radiation therapy, i. It has been widely used because it can achieve a higher radiation dose to the lesion area and better protect to the organs at risk. However, tThe workflow of brachytherapy is time-consuming and may lead to patient discomfort, displacement of the applicator or interstitial needle, and organ changes. In recent years, deep learning technology has achieved significant success in the medical field, offering new avenues for the automation of brachytherapy, improvement of radiotherapy precision, and ensuring the safety and effectiveness of radiotherapy plans. This review summarizes the research progress of deep learning in the context of brachytherapy segmentation, image registration, applicator reconstruction, dose prediction and planning optimization, and quality assurance for clinical research reference.
