Radiotherapy target area automatic sketching system and method based on deep learning

A technology of radiation therapy and deep learning, applied in physical therapy or behavior, informatics, medical equipment, etc., can solve problems such as time-consuming and labor-consuming, high qualification requirements for doctors, save time and labor, improve work efficiency, and reduce manpower The effect of cost and time cost

Inactive Publication Date: 2021-03-30
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Based on the above problems, the present invention provides a system and method for automatically delineating the radiotherapy target area based on deep learning, which is used to solve the problems in the process of automatically delineating the radiotherapy target area during the treatment process through the Gamma Knife in the prior art. Physician qualification requirements are high, time-consuming and labor-intensive problems

Method used

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  • Radiotherapy target area automatic sketching system and method based on deep learning
  • Radiotherapy target area automatic sketching system and method based on deep learning
  • Radiotherapy target area automatic sketching system and method based on deep learning

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Experimental program
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Embodiment 1

[0051] Such as figure 1 and 2 As shown, an automatic delineation method of radiotherapy target volume based on deep learning includes the following steps:

[0052] Step 1: Data reception and forwarding, using the standard transmission protocol in the Gamma Knife treatment process, after receiving the CT data in undrawn DCM format sent by the Gamma Knife planning system, the forwarding server will forward the data to The local PACS system stores and informs the logical server of the CT data reception, and the logical server will generate a corresponding data and record it on the management client; in order to fit the data transmission method in the actual Gamma Knife treatment workflow, this system Provides two ways of LAN protocol transmission and local manual import to realize data acceptance.

[0053] figure 1 The texts at the arrows are explained as follows: send DCM data: send CT data in undrawn DCM format; forward DCM data: forward the data to the local PACS system for...

Embodiment 2

[0078] Such as figure 1 As shown, an automatic radiotherapy target delineation system based on deep learning, including a management client, a logic server, a forwarding server, and a model server;

[0079] The management client is used for DCM data statistics, query, viewing and management of system users and permissions;

[0080] The logic server is used to define the interaction logic of the main data of the front end, and provide the function of adding, deleting and searching data in the database;

[0081] The forwarding server is used to provide the forwarding service of the DCM data between the drawing system and the Gamma Knife planning system or the local PACS system. Through the forwarding service, the drawing system can receive the DCM data from the Gamma Knife planning system or the local PACS system, At the same time, send the RTSS file to the Gamma Knife planning system;

[0082] The model server is used to provide model algorithm services for medical data diagn...

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Abstract

The invention relates to the technical field of radiotherapy target area automatic sketching, and particularly relates to a radiotherapy target area automatic sketching system and method based on deeplearning which are used for solving the problems of high qualification requirements on doctors, time consumption and labor consumption in the radiotherapy target area automatic sketching process. Thesystem comprises a management client, a logic server, a forwarding server and a model server, wherein the management client is used for statistics, query and check of DCM data and management of system users and permissions; the logic server is used for defining interaction logic of main data of the front end; the forwarding server is used for providing a DCM data forwarding service between the sketching system and a gamma knife planning system or a local PACS system; and the model server is used for providing model algorithm service for medical data diagnosis, and the model server can generate an RTSS file containing a sketching result for the case data. According to the invention, the qualification requirements of physicians for learning cost and deployment cost are reduced, and time andlabor are saved.

Description

technical field [0001] The present invention relates to the technical field of automatic delineation of radiotherapy target areas, and more specifically relates to a system and method for automatic delineation of radiotherapy target areas based on deep learning. Background technique [0002] Gamma Knife is the main treatment method of stereotaxic radiosurgery. Its therapy is to selectively determine the normal tissue or diseased tissue in the brain as the target according to the principle of stereotactic geometry, and produce focal tumors through focused irradiation of gamma rays. Gamma Knife treatment is mainly used for functional neurological diseases (including intractable pain, primary trigeminal neuralgia, Parkinson's disease, obsessive-compulsive disorder and anxiety disorder). disease, epilepsy, etc.), cerebrovascular malformations (including cerebral AVM, cerebral arteriovenous malformation, cavernous hemangioma with bleeding process or symptoms), various intracrania...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30G16H30/20G16H40/67
CPCG16H20/30G16H30/20G16H40/67
Inventor 章毅王晓宇皮勇陈兢魏建安赵杰袆郭泉张韬陈怡王淑敏段宗浩游潮
Owner SICHUAN UNIV
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