A method for establishing radiotherapy target area database based on the fusion of liver segment and liver cancer contour(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第10期
- Page:
- 1250-1254
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- A method for establishing radiotherapy target area database based on the fusion of liver segment and liver cancer contour
- Author(s):
- SHEN Haiyang1; 2; PENG Xiangwei2; WANG Xing1; LI Guangxin1; LI Gong1; YUAN Kehong2
- 1. Department of Radiotherapy, Beijing Tsinghua Changgung Hospital, Beijing 102200, China 2. International Graduate School, Tsinghua University, Shenzhen 518000, China
- Keywords:
- Keywords: liver cancer precise radiotherapy liver segment recognition target segmentation artificial intelligence
- PACS:
- R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.10.012
- Abstract:
- Abstract: A method for radiotherapy target database establishment and the whole process data quality management based on the fusion of liver segment and liver cancer contour is proposed to provide data support for subsequent artificial intelligence-based target segmentation or evaluation of current manual delineation. The original images are selected from the liver cancer database for target segmentation in liver radiotherapy and labeling the contour in sections and segments. Through image fusion technology, the radiotherapy of liver cancer can be accurate to the liver segment. Unet is trained with deep learning method to obtain the neural network model for accurate liver segmentation, so as to achieve precise radiotherapy for liver cancer.
Last Update: 2022-10-27