CN112951384A - Data simulation generation method and system for medical imaging equipment - Google Patents

Data simulation generation method and system for medical imaging equipment Download PDF

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Publication number
CN112951384A
CN112951384A CN202110155037.1A CN202110155037A CN112951384A CN 112951384 A CN112951384 A CN 112951384A CN 202110155037 A CN202110155037 A CN 202110155037A CN 112951384 A CN112951384 A CN 112951384A
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medical
medical image
data
simulator
medical imaging
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柴象飞
郭娜
张路
袁学贵
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Huiying Medical Technology Beijing Co ltd
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Huiying Medical Technology Beijing Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

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  • Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
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Abstract

The invention discloses a data simulation generation method and system for medical image equipment, and relates to the technical field of medical image processing. The method comprises the following steps: deploying and running a medical image simulator on at least one computer; each medical image simulator respectively generates patient information and examination information of the patient at random; each medical image simulator randomly acquires a check image from a medical image library according to the type of the simulated medical equipment, and synthesizes the check image, the patient information and the detection information to obtain simulated data; and each medical image simulator respectively transmits the simulation data to the system to be tested according to a preset transmission rule. The invention is suitable for the simulation test of medical imaging equipment, and can simulate the simultaneous working of a plurality of imaging equipment in the actual operation scene of a hospital, thereby realizing the performance and compatibility of a medical imaging system developed by the test.

Description

Data simulation generation method and system for medical imaging equipment
Technical Field
The invention relates to the technical field of medical image processing, in particular to a data simulation generation method and system for medical image equipment.
Background
At present, when a medical image related system such as a PACS is tested, limited data are collected in advance, and the data are manually sent to the system through a DICOM (digital imaging and communications in medicine) push command.
Disclosure of Invention
The invention provides a data simulation generation method and system for medical imaging equipment, aiming at the defects of the prior art.
The technical scheme for solving the technical problems is as follows:
a data simulation generation method for a medical image device comprises the following steps:
deploying and running a medical image simulator on at least one computer;
each medical image simulator respectively generates patient information and examination information of the patient at random;
each medical image simulator randomly acquires an examination image from a medical image library according to the type of the simulated medical equipment, and synthesizes the examination image, the patient information and the detection information to obtain simulated data;
and each medical image simulator respectively transmits the simulation data to a system to be tested according to a preset transmission rule.
Another technical solution of the present invention for solving the above technical problems is as follows:
a data simulation generation system for a medical imaging device, comprising: at least one computer, each said computer used for deploying medical image simulator and running, each said medical image simulator used for generating patient information and patient's examination information at random separately;
each medical image simulator is also used for randomly acquiring an examination image from a medical image library according to the type of the simulated medical equipment, and synthesizing the examination image, the patient information and the detection information to obtain simulated data;
each medical image simulator is further used for respectively sending the simulation data to a system to be tested according to a preset sending rule.
The invention has the beneficial effects that: the data simulation generation method and the data simulation generation system are suitable for simulation test of medical imaging equipment, different types and any number of imaging equipment such as CT, MR and the like can be simulated by deploying the medical image simulator on a plurality of computers and operating, the equipment types to be simulated of operation examples can be configured according to test requirements, time intervals among examination can be configured, a plurality of imaging equipment can be simulated to work simultaneously in actual operation scenes of hospitals, and therefore performance and compatibility of the developed medical imaging system can be tested.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a schematic flow chart diagram of a data simulation generation method according to an embodiment of the present invention;
fig. 2 is a structural framework diagram provided by an embodiment of the data simulation generation system of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth to illustrate, but are not to be construed to limit the scope of the invention.
As shown in fig. 1, a schematic flow chart is provided for an embodiment of a data simulation generation method of the present invention, the data simulation generation method is used for a simulation test of a medical imaging device, and includes:
s1, deploying and operating the medical image simulator on at least one computer;
it should be noted that the medical image simulator may be a software program for executing specific functions, and may be written according to different basic C languages, C + + and the like of the development environment, and each medical image simulator may be implemented according to specific functions of the simulated medical image device, for example, if it is required to simulate a nuclear magnetic resonance apparatus, it may be implemented by programming to randomly generate information of age, sex, name, disease state and the like of a patient, and to randomly extract an MR image from a medical image library.
S2, each medical image simulator respectively generates patient information and examination information of the patient at random;
it should be understood that the patient information specifically includes what contents can be set according to actual requirements, for example, the patient information may include information of age, sex, name, disease state, etc. of the patient, and the examination information of the patient may include information of an affected part of the examination, a type of the examination, a number of times, etc.
For example, assuming that patient a is randomly generated, the randomly generated examination information is: the waist MR is performed 1 time, and then when an examination image is selected from the medical image library, a waist MR image can be randomly selected.
S3, each medical image simulator randomly acquires an examination image from the medical image library according to the type of the simulated medical equipment, and synthesizes the examination image, the patient information and the detection information to obtain simulated data;
and S4, each medical image simulator respectively sends the simulation data to the system to be tested according to a preset sending rule.
It should be noted that, because the types of each medical image simulator may be different, the frequency and the number of the transmitted data may also be conveniently controlled by the computer, and therefore, after the data is transmitted to the system under test, the system under test may be flexibly subjected to a pressure test, and the performance and the compatibility of the system under test may be determined.
The data simulation generation method provided by the embodiment is suitable for simulation test of medical imaging equipment, different types and any number of imaging equipment such as CT, MR and the like can be simulated by deploying the medical imaging simulator on a plurality of computers and operating, the type of the equipment to be simulated of an operation example can be configured according to test requirements, time intervals between examinations can be configured, a plurality of imaging equipment can be simulated to work simultaneously in actual operation scenes of a hospital, and therefore performance and compatibility of a developed medical imaging system can be tested.
Optionally, in some possible embodiments, the deploying and operating of the medical image simulator on at least one computer specifically includes:
compiling a medical image simulator for generating simulation data, deploying n on an ith computeriA medical image simulator;
respectively configuring the operation parameters of each medical image simulator according to the type of the simulated medical equipment;
wherein I is 1,2, …, I, I is the number of computers, niThe number of medical image simulators deployed on the ith computer.
It should be understood that the number of computers and the number and types of the medical image simulators deployed on each computer can be set according to actual requirements, for example, 3 computers can be set, wherein the first computer is deployed with 2 medical image simulators simulating MR devices and the first computer is deployed with 3 medical image simulators simulating CT devices; the second computer is provided with 2 medical image simulators for simulating the MR equipment and 2 medical image simulators for simulating the CT equipment; the third computer is provided with 1 medical image simulator for simulating the MR device.
An example of an exemplary operating parameter configuration is given below, taking a medical image simulator simulating a CT apparatus as an example:
for example, assume there are 3 computers, each running 4 software instances, each configured to transmit a frequency: generating and sending checks every 10 minutes, the sending time configuring the sending time: 8: 00-12: 00 and 13: 30-18: 00, which are equivalent to 12 simulated CT devices, operate for 8: 00-12: 00 and 13: 30-18: 00 periods, and complete one patient every 10 minutes.
By deploying a plurality of software instances on one computer, a plurality of medical imaging devices can be simulated, and high concurrent testing of the system to be tested can be realized.
Optionally, in some possible embodiments, before each medical image simulator randomly generates the patient information and the examination information of the patient, the method further includes:
and each medical image simulator respectively judges whether the current time is the preset sending time, and if so, the medical image simulator respectively generates patient information and examination information of the patient at random.
By generating the patient information and the examination information of the patient at regular time, the automatic test of the system to be tested can be realized, and by the automatic test at regular time, the simultaneous high-concurrency test can be realized, so that the performance and the compatibility of the medical image system to be tested can be tested.
Optionally, in some possible embodiments, each medical image simulator respectively sends the simulation data to the system under test according to a preset sending rule, specifically including:
and each medical image simulator respectively transmits the simulation data to the system to be tested according to preset transmission time and transmission frequency.
Optionally, in some possible embodiments, the transmission frequency is determined according to a shooting frequency of the medical device simulated by the medical image simulator.
For example, assuming that the MR imaging rate is 10 minutes one for a hospital actual operation scene, the transmission frequency may be set to 10 minutes once to make the simulation result closer to reality.
The sending time and the sending frequency can be set according to requirements, so that the flexibility of the test is improved.
It is to be understood that some or all of the various embodiments described above may be included in some embodiments.
As shown in fig. 2, a structural framework diagram is provided for an embodiment of the data simulation generation system of the present invention, which is used for simulation testing of a medical imaging device, and includes: at least one computer 10, each computer 10 is used for deploying and operating a medical image simulator, and each medical image simulator is used for respectively and randomly generating patient information and examination information of a patient;
each medical image simulator is also used for randomly acquiring an examination image from the medical image library according to the type of the simulated medical equipment, and synthesizing the examination image, the patient information and the detection information to obtain simulated data;
each medical image simulator is further configured to send the simulation data to the system under test 20 according to a preset sending rule.
The data simulation generation system provided by the embodiment is suitable for simulation test of medical imaging equipment, different types and any number of imaging equipment, such as CT, MR and the like, can be simulated by deploying medical imaging simulators on a plurality of computers 10 and operating, can configure the equipment types to be simulated of operation examples according to test requirements, and can simulate a plurality of imaging equipment to work simultaneously in actual operation scenes of hospitals according to time intervals between examinations, thereby realizing performance and compatibility test of developed medical imaging systems.
Optionally, in some possible embodiments, the ith computer 10 is specifically configured to deploy niThe medical image simulator is compiled by a program and used for generating simulation data;
each computer 10 is further configured to configure the operating parameters of each medical image simulator respectively according to the type of the simulated medical equipment;
where, I is 1,2, …, I is the number of computers 10, niThe number of medical image simulators deployed on the ith computer 10.
Optionally, in some possible embodiments, each medical image simulator is further configured to respectively determine whether the current time is a preset sending time, and if so, respectively randomly generate patient information and examination information of the patient.
Optionally, in some possible embodiments, each medical image simulator is specifically configured to transmit the simulation data to the system under test 20 according to a preset transmission time and a preset transmission frequency, respectively.
Optionally, in some possible embodiments, the transmission frequency is determined according to a shooting frequency of the medical device simulated by the medical image simulator.
It is to be understood that some or all of the various embodiments described above may be included in some embodiments.
It should be noted that the above embodiments are product embodiments corresponding to previous method embodiments, and for the description of the product embodiments, reference may be made to corresponding descriptions in the above method embodiments, and details are not repeated here.
The reader should understand that in the description of this specification, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described method embodiments are merely illustrative, and for example, the division of steps into only one logical functional division may be implemented in practice in another way, for example, multiple steps may be combined or integrated into another step, or some features may be omitted, or not implemented.
The above method, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A data simulation generation method for a medical imaging device is characterized by comprising the following steps:
deploying and running a medical image simulator on at least one computer;
each medical image simulator respectively generates patient information and examination information of the patient at random;
each medical image simulator randomly acquires an examination image from a medical image library according to the type of the simulated medical equipment, and synthesizes the examination image, the patient information and the detection information to obtain simulated data;
and each medical image simulator respectively transmits the simulation data to a system to be tested according to a preset transmission rule.
2. The data simulation generation method for the medical imaging device according to claim 1, wherein the medical imaging simulator is deployed and operated on at least one computer, and specifically comprises:
compiling a medical image simulator for generating simulation data, deploying n on an ith computeriA medical image simulator;
respectively configuring the operation parameters of each medical image simulator according to the type of the simulated medical equipment;
wherein I is 1,2, …, I, I is the number of computers, niThe number of medical image simulators deployed on the ith computer.
3. The data simulation generation method for medical imaging equipment according to claim 1 or 2, wherein before each of the medical imaging simulators randomly generates patient information and examination information of a patient, further comprising:
and each medical image simulator respectively judges whether the current time is the preset sending time, and if so, patient information and examination information of the patient are respectively generated randomly.
4. The data simulation generation method for medical imaging equipment according to claim 3, wherein each of the medical imaging simulators respectively sends the simulation data to a system under test according to a preset sending rule, and specifically includes:
and each medical image simulator respectively transmits the simulation data to a system to be tested according to preset transmission time and transmission frequency.
5. The data simulation generation method for a medical imaging device according to claim 4, wherein the transmission frequency is determined according to a shooting frequency of the medical device simulated by the medical imaging simulator.
6. A data simulation generation system for a medical imaging device, comprising: at least one computer, each said computer used for deploying medical image simulator and running, each said medical image simulator used for generating patient information and patient's examination information at random separately;
each medical image simulator is also used for randomly acquiring an examination image from a medical image library according to the type of the simulated medical equipment, and synthesizing the examination image, the patient information and the detection information to obtain simulated data;
each medical image simulator is further used for respectively sending the simulation data to a system to be tested according to a preset sending rule.
7. The system of claim 6, wherein the ith computer is specifically configured to deploy niThe medical image simulator is compiled by a program and used for generating simulation data;
each computer is further used for respectively configuring the operating parameters of each medical image simulator according to the type of the simulated medical equipment;
wherein I is 1,2, …, I, I is the number of computers, niThe number of medical image simulators deployed on the ith computer.
8. The data simulation generation system for medical imaging equipment as claimed in claim 6 or 7, wherein each medical imaging simulator is further configured to respectively determine whether the current time is a preset transmission time, and if so, respectively randomly generate patient information and examination information of the patient.
9. The data simulation generation system for medical imaging equipment as claimed in claim 8, wherein each of the medical imaging simulators is specifically configured to transmit the simulation data to the system under test according to a preset transmission time and a preset transmission frequency.
10. The data simulation generation system for a medical imaging device of claim 9, wherein the transmission frequency is determined according to a shooting frequency of the medical device simulated by the medical imaging simulator.
CN202110155037.1A 2021-02-04 2021-02-04 Data simulation generation method and system for medical imaging equipment Pending CN112951384A (en)

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Citations (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101655888A (en) * 2009-09-10 2010-02-24 成都市华为赛门铁克科技有限公司 Simulation method, apparatus and system for medical digital image transmission standard imaging equipment
CN101904749A (en) * 2009-06-05 2010-12-08 齐齐哈尔大学 Accessory system for medicine CT image diagnosis
CN102239493A (en) * 2008-12-03 2011-11-09 康尔福盛303公司 Method and apparatus for automatically integrating a medical device into a medical facility network
CN102279796A (en) * 2011-08-25 2011-12-14 北京神州绿盟信息安全科技股份有限公司 Method and device for testing software compatibility
CN102496320A (en) * 2011-12-06 2012-06-13 北京理工大学 Real-time ultrasonic image simulating method based on CT volume data
CN103117010A (en) * 2011-11-17 2013-05-22 深圳迈瑞生物医疗电子股份有限公司 Ultrasonic imaging simulation system
CN105447070A (en) * 2015-06-15 2016-03-30 浙江格林蓝德信息技术有限公司 Medical image reading method and system
CN106202973A (en) * 2016-07-29 2016-12-07 孙兴华 Medical image computer-aided analysis system
CN106777953A (en) * 2016-12-09 2017-05-31 江西中科九峰智慧医疗科技有限公司 The analysis method and system of medical image data
CN107193735A (en) * 2017-05-17 2017-09-22 武汉联影医疗科技有限公司 Method for testing software and system
CN107767928A (en) * 2017-09-15 2018-03-06 深圳市前海安测信息技术有限公司 Medical image report preparing system and method based on artificial intelligence
CN107767935A (en) * 2017-09-15 2018-03-06 深圳市前海安测信息技术有限公司 Medical image specification processing system and method based on artificial intelligence
CN108831235A (en) * 2018-06-12 2018-11-16 苏州敏行医学信息技术有限公司 Virtual medical imaging training method and medical imaging training system
CN108831232A (en) * 2018-05-28 2018-11-16 中南民族大学 A kind of CT virtual simulated training system and method
CN109191462A (en) * 2018-10-18 2019-01-11 天津大学 A kind of CT anthropomorphic phantom generation method
CN109389587A (en) * 2018-09-26 2019-02-26 上海联影智能医疗科技有限公司 A kind of medical image analysis system, device and storage medium
CN109498047A (en) * 2019-01-02 2019-03-22 深圳安科高技术股份有限公司 A kind of CT machine scanning analogy method and its system
CN109633504A (en) * 2018-12-14 2019-04-16 天津大学 A kind of compound magnetic resonance test body mould system of static-dynamic state
CN109686424A (en) * 2018-12-27 2019-04-26 管伟 A kind of storage and exchange intelligent medical treatment system of medical image information
CN109961830A (en) * 2019-03-29 2019-07-02 舟山昊楹网络科技有限公司 A kind of medical image management system and its management method
CN110310741A (en) * 2019-07-01 2019-10-08 边源医疗科技(杭州)有限公司 A kind of electric market system of medical artificial intelligence's application
CN110337272A (en) * 2017-02-24 2019-10-15 拜耳医药保健有限公司 System and method for generating simulation computer tomoscan (CT) image
CN110543364A (en) * 2019-07-21 2019-12-06 聊城市光明医院 Medical image rapid loading method and system
CN111223554A (en) * 2019-12-26 2020-06-02 四川大学华西医院 Intelligent AI PACS system and its checking report information processing method
CN111833680A (en) * 2020-06-19 2020-10-27 上海长海医院 Medical staff theoretical learning evaluation system and method and electronic equipment

Patent Citations (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102239493A (en) * 2008-12-03 2011-11-09 康尔福盛303公司 Method and apparatus for automatically integrating a medical device into a medical facility network
CN101904749A (en) * 2009-06-05 2010-12-08 齐齐哈尔大学 Accessory system for medicine CT image diagnosis
CN101655888A (en) * 2009-09-10 2010-02-24 成都市华为赛门铁克科技有限公司 Simulation method, apparatus and system for medical digital image transmission standard imaging equipment
CN102279796A (en) * 2011-08-25 2011-12-14 北京神州绿盟信息安全科技股份有限公司 Method and device for testing software compatibility
CN103117010A (en) * 2011-11-17 2013-05-22 深圳迈瑞生物医疗电子股份有限公司 Ultrasonic imaging simulation system
CN102496320A (en) * 2011-12-06 2012-06-13 北京理工大学 Real-time ultrasonic image simulating method based on CT volume data
CN105447070A (en) * 2015-06-15 2016-03-30 浙江格林蓝德信息技术有限公司 Medical image reading method and system
CN106202973A (en) * 2016-07-29 2016-12-07 孙兴华 Medical image computer-aided analysis system
CN106777953A (en) * 2016-12-09 2017-05-31 江西中科九峰智慧医疗科技有限公司 The analysis method and system of medical image data
CN110337272A (en) * 2017-02-24 2019-10-15 拜耳医药保健有限公司 System and method for generating simulation computer tomoscan (CT) image
CN107193735A (en) * 2017-05-17 2017-09-22 武汉联影医疗科技有限公司 Method for testing software and system
CN107767928A (en) * 2017-09-15 2018-03-06 深圳市前海安测信息技术有限公司 Medical image report preparing system and method based on artificial intelligence
CN107767935A (en) * 2017-09-15 2018-03-06 深圳市前海安测信息技术有限公司 Medical image specification processing system and method based on artificial intelligence
CN108831232A (en) * 2018-05-28 2018-11-16 中南民族大学 A kind of CT virtual simulated training system and method
CN108831235A (en) * 2018-06-12 2018-11-16 苏州敏行医学信息技术有限公司 Virtual medical imaging training method and medical imaging training system
CN109389587A (en) * 2018-09-26 2019-02-26 上海联影智能医疗科技有限公司 A kind of medical image analysis system, device and storage medium
CN109191462A (en) * 2018-10-18 2019-01-11 天津大学 A kind of CT anthropomorphic phantom generation method
CN109633504A (en) * 2018-12-14 2019-04-16 天津大学 A kind of compound magnetic resonance test body mould system of static-dynamic state
CN109686424A (en) * 2018-12-27 2019-04-26 管伟 A kind of storage and exchange intelligent medical treatment system of medical image information
CN109498047A (en) * 2019-01-02 2019-03-22 深圳安科高技术股份有限公司 A kind of CT machine scanning analogy method and its system
CN109961830A (en) * 2019-03-29 2019-07-02 舟山昊楹网络科技有限公司 A kind of medical image management system and its management method
CN110310741A (en) * 2019-07-01 2019-10-08 边源医疗科技(杭州)有限公司 A kind of electric market system of medical artificial intelligence's application
CN110543364A (en) * 2019-07-21 2019-12-06 聊城市光明医院 Medical image rapid loading method and system
CN111223554A (en) * 2019-12-26 2020-06-02 四川大学华西医院 Intelligent AI PACS system and its checking report information processing method
CN111833680A (en) * 2020-06-19 2020-10-27 上海长海医院 Medical staff theoretical learning evaluation system and method and electronic equipment

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