Automatic optimization method for on-line self-adaption radiotherapy plan and device

Abstract

The invention discloses an automatic optimization method for an on-line self-adaption radiotherapy plan and a device. The method comprises the following steps: by reading an original radiotherapy plan and the information, such as acquired present gradation guide image and sketching target section, calculating a beam direction view of each frame angle, thereby acquiring the optimized newly generated sub-view and corresponding dose distribution, machine hop count and the like; finishing the on-line self-adaption automatic optimization of the radiotherapy plan; and meanwhile, performing secondary check on the dose distribution of the automatic radiotherapy plan through the calculation and assessment for a three-dimensional gamma index value; if failing to pass, performing normalization operation and updating the machine hop count of the new sub-view, thereby finishing the quality ensuring work. Furthermore, through the radiotherapy plan parameter transmission process check, the possibly present problem in a parameter transmitting and writing executing system is effectively avoided, and the safety monitoring is performed through real-time dosage detection during a plan executing process. The on-line self-adaption optimization of the radiotherapy plan, the quality ensuring and the full automation of parameter transmission check and real-time dosage detection are realized.

Description

technical field [0001] The invention relates to an optimization method and device for radiotherapy plan, in particular to an automatic optimization method and device for radiotherapy plan. Background technique [0002] At present, the process of tumor radiation therapy (Radiation Therapy) is to first generate a treatment plan based on the patient's positioning CT before treatment, and then keep the treatment plan unchanged during the subsequent treatment process, and implement several fractional treatments for the patient. . This treatment mode does not take into account the changes in the patient's anatomy during treatment. When the patient's anatomy changes greatly, Offline Adaptive Radiation Therapy (Offline ART) is usually used to modify the treatment plan. However, the offline adaptive radiotherapy method currently uses the traditional commercial treatment planning system, which is inefficient, time-consuming and labor-intensive, so it is rarely adopted by hospitals. ...

AI Technical Summary

Problems solved by technology

At present, online adaptive radiotherapy cannot be widely used in actual clinical treatment, and there are mainly the following problems and shortcomings:

[0004] 1. The online adaptive radiotherapy method is based on a general commercial planning system. When generating a new treatment plan, it needs to calculate and solve large-scale dose calculation and optimization problems. The calculation time is very long and cannot be completed within a clinically acceptable time

[0005] 2. This method requires the dosimetrist to participate in the optimization process of the plan. It takes a long time to set and adjust the parameters manually, and the quality of the treatment plan is directly limited by the experience and judgment of the dosimeter.

[0006] 3. In the end, the new treatment plan needs to perform quality assurance (Quality Assurance, QA) on the phantom again, and the integration of online adaptive radiotherapy plan optimization and automatic quality assurance cannot be realized

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