Disturbance-based intensity modulated arc therapy optimization method

Abstract

The invention provides a disturbance-based intensity modulated arc therapy optimization method. Firstly an intensity modulated arc therapy optimization model is established according to conditions such as information on a target region and organs at risk, beam setting parameters and each organ dose (volume) constraint and hardware constraint; an initialized sub-field is obtained by using intensity distribution optimization. Then the shape of the sub-field is optimized by using disturbance, the weight of the sub-field is optimized by using a conjugate gradient method after determination of the shape, and finally the optimal solution for the intensity modulated arc therapy is optimized. According to the method, a mathematical model of an optimization problem is accurately established, the solving speed is high, the algorithm is stable and the robustness is strong.

Description

technical field [0001] The invention relates to a disturbance-based rotary intensity modulation optimization method, which belongs to the technical field of intelligent calculation methods. Background technique [0002] Rotary intensity modulation is the most advanced intensity modulation technology currently developed, which can well avoid the disadvantage of long static intensity modulation treatment time, and at the same time, the treatment effect is better than static intensity modulation. There is no optimization process for the initial rotation intensity modulation, which is equivalent to the forward plan, that is, 360° is divided into several directions, and the shape of the subfield in each direction is determined according to the shape in the BEV. Later, the rotation intensity modulation optimization was developed, and some optimization methods were used to optimize the shape and weight of the subfields in each direction. However, the difficulty of the current rota...

AI Technical Summary

Problems solved by technology

This method can get results relatively quickly, but subfield segmentation will affect the optimization results, and will produce many complex subfield shapes, resulting in low treatment efficiency

The "one-step method" is similar to the direct sub-field segmentation in the static intensity modulation, and the radiotherapy plan that can be implemented is directly obtained through optimization, but it takes a long time to converge

[0004] Due to the extremely high complexity of the problem and the huge amount of calculation, it is necessary to meet the requirements of calculation time and optimization effect at the same time

There is no relevant literature report

Images