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Automatic generation method of accurate target function of radiotherapy plan

A technology of radiation therapy and objective function, applied in the field of computer science and artificial intelligence, to reduce workload, improve efficiency, and reduce inexperience

Active Publication Date: 2020-01-17
福建省肿瘤医院
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because real-time planning has high requirements for the time of planning design and the quality of planning, the current method cannot meet such requirements.

Method used

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  • Automatic generation method of accurate target function of radiotherapy plan
  • Automatic generation method of accurate target function of radiotherapy plan
  • Automatic generation method of accurate target function of radiotherapy plan

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Embodiment Construction

[0055] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0056] The present invention provides a method for automatically generating an accurate objective function of a radiotherapy plan, such as figure 1 shown, including the following steps:

[0057] Step S1: Obtain images of tumor cases that have received radiotherapy and corresponding high-quality radiotherapy plans, and establish a case template database with a certain number of cases based on this;

[0058] Step S2: Obtain the organ and tumor characteristics of each tumor case from the images in the case template database, and store them in the case template database;

[0059] Step S3: Obtain the objective function of each tumor case from the radiotherapy plan of the case template database;

[0060] Step S4: Based on the processing results of step S2 and step S3, a single hidden layer neural network model is established;

[0061] Step S5: Obt...

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Abstract

The invention relates to an automatic generation method of an accurate target function of a radiotherapy plan. The automatic generation method comprises the following steps of: S1, acquiring images oftumor cases subjected to radiotherapy and a corresponding radiotherapy plan, and establishing a case template database with a certain number of cases based on the images and the corresponding radiotherapy plan; S2, acquiring organs and tumor features of each tumor case from the images of the case template database; S3, acquiring an objective function of each tumor case from the radiotherapy planof the case template database; S4, based on the processing results of the steps S2 and S3, establishing a single hidden layer neural network model; S5, acquiring organs and tumor features of a tumor case to be subjected to radiotherapy; and S6, based on the processing results of the steps S4 and S5, generating an objective function corresponding to the tumor case to be subjected to radiotherapy. The method is beneficial to automatically, quickly and specifically generation of the radiotherapy plan accurate target function.

Description

technical field [0001] The invention relates to the technical fields of computer science and artificial intelligence, in particular to a method for automatically generating an accurate objective function of a radiotherapy plan. Background technique [0002] Radiation therapy is one of the three main treatments for malignant tumors, and about 3 / 5 to 2 / 3 of malignant tumor patients need to receive radiation therapy. The purpose of radiation therapy is to increase the gain ratio of radiation therapy, that is, to maximize the concentration of radiation dose into the tumor, so as to reduce or avoid unnecessary radiation to surrounding normal tissues. Radiation therapy technology has developed from conventional radiation therapy technology to three-dimensional conformal radiation therapy technology, and then to today's intensity-modulated radiation therapy (IMRT). Compared with three-dimensional conformal radiotherapy, IMRT technology is more suitable for tumor radiotherapy, beca...

Claims

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Application Information

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IPC IPC(8): G16H20/40A61N5/10
CPCG16H20/40A61N5/1031A61N5/1039
Inventor 柏朋刚陈传本戴艺涛陈济鸿钱杰伟
Owner 福建省肿瘤医院