Radiotherapy system and method based on deep learning

A radiotherapy and deep learning technology, applied in radiotherapy, therapy, X-ray/γ-ray/particle irradiation therapy, etc., can solve the problems of inability to realize radiotherapy plan design, high professional requirements for operators, and labor-intensive problems. Improve software performance, save time, increase efficiency

Active Publication Date: 2018-02-23
徐榭
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The radiotherapy planning software currently used in hospitals needs to be jointly operated by radiotherapy experts and medical physicists. Repeated adjustments and corrections require a lot of manpower and require high professional requirements for operators.
[0006] The Chinese patent "CN102184330A-A Method for Optimizing Intensity Modulated Radiotherapy Plan Based on Image Features and Intelligent Regression Model" does not involve the key deep learning technology in this paper, and cannot make maximum intelligent use of existing databases, requiring more manpower; The method can only optimize the parameters of the radiotherapy plan, but cannot realize the design of a complete radiotherapy plan

Method used

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  • Radiotherapy system and method based on deep learning
  • Radiotherapy system and method based on deep learning

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[0050] ●The first layer is composed of three small layers:

[0051] 1) 3D convolutional layer

[0052] 2) ReLu activation layer

[0053] 3) 3D maximum pooling layer

[0054] ●The second layer structure is the same as the first layer

[0055] ●The third layer is composed of two small layers:

[0056] 1) 3D convolutional layer

[0057] 2) ReLu activation layer

[0058] ●The fourth layer structure is the same as the first layer

[0059] ●The fifth layer structure is the same as the third layer

[0060] ●The sixth layer structure is the same as the first layer

[0061] ●The seventh layer structure is the same as the first layer

[0062] ●The eighth layer is composed of three small layers:

[0063] 1) Fully connected layer

[0064] 2) ReLu activation layer

[0065] 3) drop layer

[0066] ●The ninth layer is composed of three small layers:

[0067] 1) Fusion layer

[0068] 2) Fully connected layer

[0069] 3) drop layer

[0070] ●The tenth layer is composed of a fully connected layer, and the number of neur...

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Abstract

The invention discloses a radiotherapy system and a radiotherapy method based on deep learning. The radiotherapy system comprises a medical case database module, an image data processing module, a radiotherapy processing module, a deep convolutional neural network module and a radiotherapy scheme generating module. According to the radiotherapy system and the radiotherapy method provided by the invention, in the combination of image data and some radiotherapy data of patients, radiotherapy plans of existing patients are learned, so that a radiotherapy scheme can be directly generated for a newpatient, so that doctor's time in repeatedly debugging radiotherapy plans is greatly saved, labor intensity and a requirement on the professional level of operating personnel are reduced, and a moreproper radiotherapy plan is provided to the patient; therefore, the effect of radiotherapy can be enhanced.

Description

Technical field [0001] The invention belongs to the technical field of tumor radiotherapy, and relates to a method for automatically generating a tumor radiotherapy plan, specifically, a radiotherapy system and method based on deep learning. Background technique [0002] Deep learning is to build a multi-layer neural network to imitate the learning mechanism of the human brain. Under the training of data, it can automatically process data and assist or replace people to complete the task of high-intensity human-computer interaction. At present, the application fields of deep learning are mainly in image recognition processing, speech technology, unmanned driving, etc., and it has not been applied in radiotherapy. [0003] The radiotherapy plan is based on the patient's clinical characteristics, three-dimensional / four-dimensional medical imaging tomography, and different radiological equipment, etc. to formulate a detailed treatment plan for the patient (including target area, org...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N5/10
CPCA61N5/103A61N2005/1041
Inventor 徐榭彭昭宋宇宸阳露裴曦
Owner 徐榭
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