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Robust optimization method for proton heavy ion intensity-modulated radiotherapy for range uncertainty

A proton-heavy ion, uncertainty technology, applied in the field of robust optimization of proton-heavy ion intensity modulated radiotherapy, can solve problems such as being easily trapped in local extrema

Active Publication Date: 2019-12-17
裴曦
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Problems solved by technology

[0018] The particle swarm optimization algorithm has a good performance in solving robust optimization problems, but it needs to solve the problem that it is easy to fall into local extremum

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  • Robust optimization method for proton heavy ion intensity-modulated radiotherapy for range uncertainty
  • Robust optimization method for proton heavy ion intensity-modulated radiotherapy for range uncertainty
  • Robust optimization method for proton heavy ion intensity-modulated radiotherapy for range uncertainty

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Embodiment Construction

[0062] In this embodiment, firstly import proton heavy ion intensity-modulated radiotherapy planning information and prepare calculation data, then build a range uncertainty model based on the combination of optimality and robustness according to the robustness measurement method of mean and variance, and finally adopt the filter-based The adaptive particle swarm robust optimization of the algorithm obtains the robust optimal solution. The invention can not only accurately establish the uncertainty model of the robust optimization problem, but also has fast solution speed, stable algorithm and strong robustness, and the user can obtain the robust optimal solution.

[0063] Such as figure 1 As shown, the present invention is a robust optimization method for proton heavy ion intensity-modulated radiotherapy aimed at range uncertainty, and the specific implementation steps are as follows:

[0064] (1) Data preparation

[0065] 1) Import radiotherapy plan information

[0066] R...

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Abstract

The invention discloses a robustness optimization method of a proton-heavy ion intensity modulated radiation therapy for range uncertainty. Basic information of a proton-heavy ion intensity modulatedradiation therapy and data for calculation preparation are inputted; a range uncertainty mathematical model based on combination of optimality and robustness is built according to a robustness measurement method of a mean value and a variance; and then a robustness optimal solution is obtained by employing filter-algorithm-based adaptive particle swarm optimization. Therefore, a range uncertaintymodel for a robustness optimization problem is established accurately; the method has characteristics of fast solution speed, high stability of the algorithm and strong robustness and the like; and the user is able to use the robustness optimal solution to reduce the influence on the radiotherapy plan by the range error.

Description

technical field [0001] The invention belongs to the field of optimization methods for radiotherapy, and relates to a robust optimization method for proton heavy ion intensity-modulated radiotherapy aimed at range uncertainty. Background technique [0002] As one of the most advanced radiotherapy methods, proton heavy ion radiotherapy technology can effectively protect normal tissues (higher therapeutic gain ratio) while accurately killing tumor cells, and is a "sharp weapon" for tumor treatment. When proton heavy ion radiotherapy technology reaches the tumor lesion, it releases a large amount of energy instantly to kill tumor cells, and then the energy decays rapidly, which is called "Bragg peak" in dosimetry, and the pre-peak dose is about 20% of the peak value. Proton heavy ion intensity-modulated radiotherapy is the main mode of proton heavy ion radiotherapy, and its accuracy is greatly affected by the range and respiratory movement. Proton heavy ion radiotherapy is like...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61N5/10
Inventor 裴曦徐榭
Owner 裴曦
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