Radiotherapy plan making method based on artificial intelligence and expert database

Abstract

The invention discloses a radiotherapy plan making method based on artificial intelligence and an expert database. On the basis of a traditional radiotherapy plan making method, an automatic organic sketching method based on the artificial intelligence is utilized, a computer automatically sketches common tumor target areas and surrounding organs at risk according to different disease types, the sketching differences caused by clinical experience are reduced, and the sketching time is effectively shortened; meanwhile, based on expert database information, radiotherapy plans are automatically designed according to different disease types, and the radiotherapy plan differences caused by the clinical experience are reduced. Through the mode, with the assistance of the artificial intelligenceand the expert database, the accuracy of sketching of interested areas in radiotherapy plan making is improved, the effectiveness of the plans in radiotherapy plan making is guaranteed, thus the radiotherapy plan making time is obviously shortened, the rely on the experience is reduced, and the limit of the traditional radiotherapy plan making method is lowered.

Description

technical field [0001] The present invention relates to the field of precise radiotherapy plan formulation in multidisciplinary interdisciplinary fields such as nuclear physics, nuclear technology and its application, and radiology, and in particular to a radiotherapy plan formulation method based on artificial intelligence and an expert database. Background technique [0002] The radiotherapy planning method belongs to the direction of precision radiotherapy planning in multidisciplinary interdisciplinary fields such as nuclear physics, nuclear technology and its application, and radiology. Among them, the delineation of the region of interest and the optimization of plan design are the key issues in the formulation of radiotherapy plan. [0003] (1) Delineation of the region of interest: import the CT image data of the patient into the radiotherapy planning system, and after the preliminary inspection and processing by the physicist, the physician will complete the delinea...

AI Technical Summary

Problems solved by technology

This link requires physicists to have rich experience in radiation therapy plan design, otherwise it will take a lot of time to repeatedly optimize the plan, and even fail to obtain a radiation therapy plan that meets the prescription requirements

[0005] Therefore, the traditional radiotherapy planning method requires the user to have rich experience and repeated delineation / cancellation when delineating the region of interest in order to obtain a better delineation effect. At the same time, the plan design also requires the user to have rich experience and repeated delineation Only by optimizing the plan can we get a better radiotherapy effect, which not only consumes a lot of time, but also has great limitations

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