A multi-objective optimization system and method for beam direction based on ant colony algorithm

A technology of multi-objective optimization and ant colony algorithm, applied in the computer field, can solve problems such as no practical value, imperfect models and methods, and failure to establish an optimization system

Inactive Publication Date: 2016-01-06
合肥克瑞斯信息科技有限公司
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Problems solved by technology

And the existing beam direction optimization either takes too long to calculate, or does too many simplified approximations without practical value
It is precisely because of the imperfection of the model and the method that the corresponding optimization system cannot be established.

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  • A multi-objective optimization system and method for beam direction based on ant colony algorithm
  • A multi-objective optimization system and method for beam direction based on ant colony algorithm
  • A multi-objective optimization system and method for beam direction based on ant colony algorithm

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Embodiment Construction

[0037] Such as figure 1 Shown, a kind of radiotherapy beam direction multi-objective optimization method based on ant colony algorithm of the present invention, concrete realization steps are as follows:

[0038] (1) Establish a multi-objective optimization model for beam direction optimization

[0039] According to the information defined by the plan designer on the tumor target area (target) and organs at risk (OAR), the beam setting parameters, the dose constraints of each organ, and the dose volume constraints, the plan designer's expected dose distribution is transformed into the following form: Target optimization model:

[0040] min ob j 1 = 1 N t arg et Σ i = 1 N t ...

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Abstract

The invention provides a system and a method for beam direction multi-target optimization based on an ant colony algorithm. First, a multi-target optimization model is established according to restrictions of a target region, information of organs at risk, beam setting parameters and dose (volume) of each organ, and beam direction searching is performed by adopting fast non-dominated sequencing. Ants search simultaneously, selection is carried out according to state transfer probabilities during searching, pheromone is updated for one time after each patch of ants finish searching, and after all the ants finish searching, one group of non-nominated solution of an optimal beam direction is obtained. The system and the method of beam direction multi-target optimization based on the ant colony algorithm not only accurately establish a mathematic model of an optimization problem, but also are fast in solving speed, stable in algorithm and strong in robustness. A user can select a reasonable solution from a non-nominated solution set.

Description

technical field [0001] The invention relates to a beam direction multi-objective optimization system and method based on an ant colony algorithm, which belongs to the field of computer technology. Background technique [0002] Electron linear accelerator is one of the main tools for cancer treatment. Whether it is classical conformal irradiation or advanced intensity-modulated irradiation, the choice of beam direction is very important for planning. If it is manually debugged, it will take time and effort, and for complex cases, it is very likely that no good direction can be found. Therefore, it is very important for those skilled in the art of radiotherapy to develop a technology to automatically optimize the beam direction. [0003] Ant colony algorithm is an emerging artificial intelligence algorithm, especially when solving combined discrete problems, ant colony algorithm has shown good performance. The present invention relates to a multi-objective optimization method...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61N5/10G06F19/00G06N3/00
Inventor 裴曦郑华庆曹瑞芬吴宜灿
Owner 合肥克瑞斯信息科技有限公司
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