Automatic intensity modulated multi-objective optimization method based on voxel weight factor and application thereof

Abstract

The clinical artificial trial and error method repetitively adjusts the dose constraint mode to optimize the plan because of the multi-objective performance of plan optimization and the unknown performance of dose constraint, which has the problems of low plan efficiency and quality uncertainty. The invention discloses an intensity modulated radiation therapy multi-objective optimization method based on voxel weight factor. The thinking mode in design of the plan designer is simulated and the constraint is automatically adjusted so as to guarantee the plan quality. According to the method, theconstraints are sorted and classified according to the clinical degree of importance for the area of interest dose constraints to form a constraint priority list, and then the dose constraints are adjusted according to the list. When the obtained solution does not meet the current constraint, the violation items are relaxed in turn according to the ascending order of priority; and when the obtained solution meets the current constraint, all the items are tightened (the violation dose constraints are tightened firstly) in turn according to the descending order of priority. The method is used for the cervical cancer patient and the result shows that the workload of the plan designer can be reduced and the plan quality can be improved.

Description

technical field [0001] The invention relates to the technical field of medical radiotherapy, in particular to a multi-objective optimization method for an intensity-modulated radiotherapy plan and the specific application of the method. Background technique [0002] Intensity Modulated Radiation Therapy (IMRT) is currently the most widely used treatment modality. Compared with the traditional three-dimensional conformal radiotherapy technology, intensity-modulated radiotherapy has many potential advantages. Or the dose at the border of organs at risk drops rapidly. Therefore, without reducing the dose of the target area, it can effectively reduce the dose received by normal tissues or organs at risk, improve the tumor control rate (Tumor Control Probability, TCP) or (and) reduce the incidence of normal tissue complications (Normal Tissue Complication Probability , NTCP). [0003] The reverse plan design of intensity-modulated radiotherapy is optimization, the purpose of w...

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Problems solved by technology

[0006] In 2007, Breedveld et al. published A novel approach tomulti-criteria inverse planning for IMRT in the Phys Med Bio journal, introducing a multi-objective optimization model that automatically adjusts dose constraints. However, the voxel weight factor used by this method The adjusted model was kept confidential and it was not applied to cervical cancer cases

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