Multi-Objective Function Optimization Based on Biological Models Sparing the Dose of Organs at Risk
计算机科学
功能(生物学)
生物
进化生物学
作者
Rongzheng Zhang,Mingyuan Miao,Junlin Guo,Xiaoyun Li,Zhen Chang,Weibin Bai,Z Chi
标识
DOI:10.1109/itme60234.2023.00091
摘要
Compared with IMRT treatment technology, IMAT can produce a high dose gradient around the target area, thereby improving the conformity of the target area and reducing the high-dose irradiation volume, but it will increase the low-dose irradiation area of the surrounding OAR. The increased volume of low-dose irradiation of organs at risk could increase the side effects of radiotherapy and induce secondary canceration. Elekta Monaco(v5.1) treatment planning system provides multi-criteria optimization based on Pareto Front function optimization, which is effective in improving the equivalent uniform dose and tumor control rate in the target area and protecting organs tissue. The aim of this paper intended to use Pareto Front multi-objective function to study the sensitivity function of the target dose to the surrounding OAR during a conventional linear accelerator delivering in IMAT, analyzing the trade-off between the target dose and the OAR dose of the IMAT plan optimization parameters, and valiated the effectiveness of this method.