Radiotherapy plan making method based on artificial intelligence and expert database

A radiotherapy and artificial intelligence technology, applied in radiotherapy, therapy, X-ray/γ-ray/particle irradiation therapy, etc. The effect of reducing limitations and reducing dependence on experience

Inactive Publication Date: 2018-07-27
中科超精(南京)科技有限公司
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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 repea

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  • Radiotherapy plan making method based on artificial intelligence and expert database

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Embodiment Construction

[0022] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0023] see figure 1 , the embodiment of the present invention includes:

[0024] A radiotherapy plan formulation method based on artificial intelligence and expert database, comprising the following steps:

[0025] (1) Obtain the positioning image:

[0026] After the radiotherapy physician determines the radiotherapy principle of the patient based on the patient's detailed condition and examination data, the physicist and technician select and make a fixed body position mold for the patient, set body surface marks and perform a CT scan to obtain the patient's image data and transmit them to Existing radiation treatment planning systems;

[002...

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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...

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Application Information

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IPC IPC(8): A61N5/10
CPCA61N5/103A61N5/1039A61N2005/1041
Inventor 不公告发明人
Owner 中科超精(南京)科技有限公司
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