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Artificial intelligence cloud radiotherapy planning method, device and system, and storage medium

An artificial intelligence and planning technology, applied in the fields of radiotherapy and cloud services, can solve problems such as cumbersome and complicated processes, steep learning curves, and long learning cycles, and achieve the effect of simple training and learning processes and improved generation levels

Pending Publication Date: 2019-05-24
BEIJING LINKING MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] CN107072624A discloses "System and Method for Automatic Treatment Planning", which generates a probability model through training data to predict a new plan, and has the following problems: this method predicts a new treatment plan by introducing an additional probability density function, which requires accurate Historical data and the establishment of probability density functions lead to the manual standardization process that requires manual pre-definition of various possible features. The whole process is cumbersome and complicated, and a huge data set needs to be established as a training set. The learning curve is steep and the learning cycle is long.

Method used

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  • Artificial intelligence cloud radiotherapy planning method, device and system, and storage medium
  • Artificial intelligence cloud radiotherapy planning method, device and system, and storage medium
  • Artificial intelligence cloud radiotherapy planning method, device and system, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] A method of artificial intelligence cloud radiotherapy planning (as attached figure 1 shown), including the following steps:

[0046](1) Input the patient image data set 101 on the cloud server; the user accesses the cloud server through the network at the cloud terminal, uploads the patient image data set, or the remote imaging device directly uploads the patient image to the cloud server through the network after scanning the patient; it is also possible According to the needs of the user, further input or not input parameters such as the patient's age, gender, and physical features.

[0047] In step (1), patient image data include but not limited to computed tomography, nuclear magnetic resonance images, positron emission images, and single photon emission tomography.

[0048] (2) Generate radiotherapy plan 102 based on machine learning method; where radiotherapy plan includes automatic completion of outline, prescription dose, reverse optimization, dose calculation...

Embodiment 2

[0060] A method for artificial intelligence cloud radiotherapy planning, comprising the steps of:

[0061] (1) Input the patient image data set on the cloud server; the user accesses the cloud server through the network on the cloud terminal, uploads the patient image data set, or the remote imaging device directly uploads the patient image to the cloud server through the network after scanning the patient;

[0062] The patient image data include but not limited to computed tomography, nuclear magnetic resonance images, positron emission images, and single photon emission tomography.

[0063] (2) Generating a radiotherapy plan based on machine learning methods; in step (2), the radiotherapy plan includes automatic completion of delineation, prescription dose, reverse optimization, dose calculation, dose verification, and plan evaluation; wherein, reverse optimization uses flux map optimization One or a combination of direct subfield optimization; dose calculation is obtained b...

Embodiment 3

[0077]The present invention also provides an artificial intelligence cloud radiotherapy planning device, including:

[0078] one or more processors;

[0079] storage; and

[0080] One or more programs, wherein the one or more programs are stored in memory and configured to be executed by one or more processors, the one or more programs include a method for performing artificial intelligence cloud radiotherapy planning, comprising the steps of:

[0081] (1) Input the patient image data set on the cloud server;

[0082] (2) Generating radiotherapy plans based on machine learning methods;

[0083] (3) Output radiation therapy plan: send the generated radiation therapy plan to the radiation therapy equipment in the cloud terminal for execution.

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Abstract

The invention belongs to the technical field of radiotherapy and cloud service, and relates to an artificial intelligence cloud radiotherapy planning method, device and system, and a storage medium. The artificial intelligence cloud radiotherapy planning method includes the following steps: (1) inputting a patient image data set on a cloud server; (2) generating a radiotherapy plan based on a machine learning method; and (3) outputting the radiotherapy plan: transmitting the generated radiotherapy plan to radiotherapy equipment of a cloud terminal to implement. The artificial intelligence cloud radiotherapy planning method does not need to input a large amount of human body data, and can obtain the radiotherapy plan or strategy of different height, body type, tumor characteristics, etc., only by training a deformable human body model to make a radiotherapy plan; and the training learning process of the automatic treatment plan is relatively simple.

Description

technical field [0001] The invention belongs to the technical field of radiotherapy and cloud services, and relates to a method, device, storage medium and system for cloud automatic treatment planning. Background technique [0002] The radiotherapy planning system determines the irradiation method with the help of a special computer system, calculates the result of the irradiation method, and then adjusts the irradiation method until it is satisfactory. Treatment planning is the central link in the realization of radiotherapy technology, especially precision radiotherapy technology. The use of the treatment planning system requires specially trained physicists and physicians with professional experience. Physicians determine the tumor target area and organs at risk, clinical dose requirements, and evaluate treatment plans. It assists physicians in evaluating results, outputting data required for various treatments, and other technical work. [0003] CN107072624A discloses...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/10G16H20/40G16H50/20
Inventor 李贵
Owner BEIJING LINKING MEDICAL TECH CO LTD
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