KR20160103578A - Cloud based Lung/Bone Disease Automated Diagnosis System and Method - Google Patents

Cloud based Lung/Bone Disease Automated Diagnosis System and Method Download PDF

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Publication number
KR20160103578A
KR20160103578A KR1020150025681A KR20150025681A KR20160103578A KR 20160103578 A KR20160103578 A KR 20160103578A KR 1020150025681 A KR1020150025681 A KR 1020150025681A KR 20150025681 A KR20150025681 A KR 20150025681A KR 20160103578 A KR20160103578 A KR 20160103578A
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KR
South Korea
Prior art keywords
diagnosis
patient
medical image
automatic diagnosis
automatic
Prior art date
Application number
KR1020150025681A
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Korean (ko)
Inventor
윤권하
정창원
이진석
주수종
유종현
Original Assignee
원광대학교산학협력단
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Priority to KR1020150025681A priority Critical patent/KR20160103578A/en
Publication of KR20160103578A publication Critical patent/KR20160103578A/en

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0013Medical image data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • 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
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • 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
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/40ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
    • 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
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

An automatic cloud based lung/bone disease diagnosing system and a method thereof are provided. According to an embodiment of the present invention, the automatic diagnosing method receives, analyzes, and automatically diagnoses a medical image of a patient, transmits an automatic diagnosis result to a doctor terminal to be checked by a doctor, and stores the automatic diagnosis result, thereby storing the automatic diagnosis result using the medical image, additional diagnosis content from the doctor, and the like except the medical image of the patient so as to increase value as information with respect to the medical image.

Description

[0001] Cloud-based Lung / Bone Disease Automated Diagnosis System and Method [

The present invention relates to an automatic diagnosis system, and more particularly, to a system and a service providing method that can automatically perform a diagnosis based on a medical image of a patient in a hospital.

A variety of medical images are used to diagnose patients' diseases in hospitals. These medical images are saved as a file in the hospital 's database and stored for a specified period of time, and are provided when necessary.

Particularly, doctors have a procedure for searching and downloading an image to be read out of the stored medical images, reading and analyzing them through a program for analyzing them, and finally diagnosing them.

In addition, medical image files only contain medical images, and there are few other additional information. This results in a medical image having no high value as information.

It is an object of the present invention to provide an automatic diagnosis method and system capable of storing an automatic diagnosis result using a medical image of a patient and an additional diagnosis content from a doctor. .

According to an aspect of the present invention, there is provided an automatic diagnosis method comprising: receiving a medical image of a patient; Analyzing and automatically diagnosing the received medical image; Transmitting an automatic diagnosis result to a doctor terminal; Receiving the automatic diagnosis from the doctor terminal; And storing the identified automatic diagnosis.

The receiving step may receive only a medical image for a patient having a specific disease from a system for storing medical images.

Further, the automatic diagnosis method according to an embodiment of the present invention may further include the step of image-processing the received medical image, and the automatic diagnosis step may analyze the medical image subjected to the image processing.

The parameters necessary for the image processing can be set by the doctor terminal.

Further, the checking step may be confirmed whether or not the automatic diagnosis is accepted.

Further, the automatic diagnosis method according to an embodiment of the present invention may further include receiving additional diagnosis from the doctor terminal, and the storing step may store the combined automatic diagnosis and the additional diagnosis together.

Further, the automatic diagnosis method according to an embodiment of the present invention may further include transmitting stored diagnostic contents to the patient terminal.

Further, in the additional diagnosis, information on the state of the patient can be recorded.

In addition, the condition of the patient may include at least one of the disease progression of the patient, the symptom improvement of the patient, and the symptom of the patient.

According to another aspect of the present invention, there is provided an automatic diagnosis system comprising: a diagnostic module for receiving a medical image of a patient, analyzing the medical image for automatic diagnosis, and transmitting an automatic diagnosis result to a doctor terminal; And a management module for confirming the automatic diagnosis from the doctor terminal and storing the confirmed automatic diagnosis.

As described above, according to the embodiments of the present invention, besides the medical image of the patient, the automatic diagnosis result using the medical image and the additional diagnosis contents from the doctor can be stored, so that the value as the information about the medical image can be increased.

FIG. 1 illustrates a system for automatically diagnosing lung / bone disease according to an embodiment of the present invention. FIG.
FIG. 2 is a detailed block diagram of the lung / bone disease auto-diagnosis server shown in FIG. 1,
FIG. 3 is a flowchart provided in an explanation of a method for automatically diagnosing lung / bone disease according to another embodiment of the present invention.

Hereinafter, the present invention will be described in detail with reference to the drawings.

1 is a view illustrating a system for automatically diagnosing lung / bone disease according to an embodiment of the present invention. 1, a mobile X-ray apparatus 10, a Picture Archiving Communication System (PACS) 20, a desk- A top viewer 30, a mobile device 40, and a lung / bone disease auto-diagnosis server 100.

The mobile X-ray apparatus 10 is a device for taking a patient and generating a medical image, and is a mobile device capable of moving / carrying.

The PACS 20 collects and stores the medical images generated in the mobile X-ray apparatus 10 as well as all other imaging medical devices in the hospital. In addition, the PACS 20 transmits the medical image of the lung / bone disease patient to the lung / bone disease auto diagnosis server 100.

The desk-top viewer 30 is a viewer for reproducing a medical image on a PC used by a physician in charge of the patient, and the mobile device 40 is a smart phone, a tablet PC, and the like carried by the patient and the doctor in charge.

2 is a detailed block diagram of the automatic lung / bone disease diagnosis server 100 shown in FIG. The lung / bone disease auto-diagnosis server 100 includes an auto diagnosis module 110 and an analysis result management module 120, as shown in FIG.

The automatic diagnosis module 110 is a module for automatically diagnosing a patient's disease using a medical image transmitted through the PACS 20. The automatic diagnosis module 110 includes an image processing unit 111, an image analysis unit 113, and a storage unit 115 ).

The image processor 111 performs image processing of the medical image received from the PACS 20. The image analyzer 113 analyzes the image of the medical image and automatically diagnoses the disease of the patient. Save the result of automatic diagnosis.

The analysis result management module 120 is a module for managing the contents of the automatic diagnosis confirmed by the doctor in charge and the additional diagnosis contents of the doctor in charge and includes a search unit 121, a reporting unit 123, and a storage unit 125 .

The storage unit 125 stores the automatic diagnosis contents and the additional diagnosis contents, and the reporting unit 123 generates a visualized diagnosis report based on the diagnosis contents. The retrieving unit 121 retrieves the requested diagnosis Search.

Hereinafter, the interaction between the components shown in FIGS. 1 and 2 will be described in detail with reference to FIG. FIG. 3 is a flowchart provided in an explanation of a method for automatically diagnosing lung / bone disease according to another embodiment of the present invention.

As shown in FIG. 3, the medical image generated by photographing the patient by the mobile X-ray apparatus 10 is automatically transmitted to the PACS 20 and stored. The medical image transmission from the mobile X-ray apparatus 10 to the PACS 20 can be directly performed, or can be performed through relay of other terminals.

The medical image file transmitted from the mobile X-ray apparatus 10 to the PACS 20 is a DICOM (Digital Imaging and Communications in Medicine) file. The PACS 20 grasps the information of the file, The medical image of the patient is transmitted to the lung / bone disease auto diagnosis server 100.

That is, in the case of a medical image photographed by the mobile X-ray apparatus 10 for the purpose of diagnosing a lung / bone disease patient, it is automatically transferred to the lung / bone disease auto diagnosis server 100.

For example, if the medical image file is 'modality: X-ray', 'Body part: chest', and 'Description: COPD (Chronic Obstructive Pulmonary Disease)', Diagnosis, and transmits it to the lung / bone disease auto-diagnosis server 100.

The image processing unit 111 of the automatic diagnosis module 110 provided in the automatic lung / bone disease diagnosis server 100 processes the medical image received from the PACS 20. Parameters (reference value, threshold value, etc.) necessary for image processing are set to a doctor terminal (doctor's PC or smart phone).

The image analysis unit 113 analyzes the medical image processed by the image processing unit 111 and automatically diagnoses the disease of the patient.

The storage unit 115 stores the automatic diagnosis result by the image analysis unit 113 and transmits the stored automatic diagnosis result to the doctor's doctor terminal 30.

Thus, the doctor in charge confirms the result of the automatic diagnosis through the doctor terminal (30). Then, the doctor in charge inputs the automatic diagnosis confirmation and the additional diagnosis through the doctor terminal 30, and the doctor terminal 30 inputs the input contents of the doctor in charge to the analysis result management module To the storage unit 125 of the storage unit 120 and stores them.

Here, the 'automatic diagnosis confirmation' refers to whether the automatic diagnosis contents in the image analysis unit 113 are acceptable or not, or whether there is a problem in the automatic diagnosis contents and is not accepted.

And, 'additional diagnosis' refers to diagnosis contents not shown in the automatic diagnosis contents. In the absence of automatic diagnosis, there is only an additional diagnosis.

The reporting unit 123 generates a visualized diagnostic report based on the automatic diagnosis confirmed by the doctor in charge stored in the storage unit 125 and the additional diagnosis contents of the doctor in charge. The report generation is performed in the mobile device and / or PC format according to the device to be transmitted. The diagnostic report generated by the reporting unit 123 is transmitted to the doctor terminal and the patient terminal.

The retrieval unit 121 of the analysis result management module 120 provided in the automatic lung / bone disease diagnosis server 100 searches the automatic / manual diagnosis contents stored in the storage unit 125 and provides search results.

Providing search results is performed for the patient terminal and the doctor terminal. The latter case is to provide information necessary for similar analysis and research, as well as for later diagnosis. To this end, the additional diagnosis inputted through the doctor terminal 30 includes information on the patient's condition, information on whether the patient's disease progresses, whether the patient's symptoms are improving, or is getting worse desirable.

Up to now, preferred embodiments have been described in detail for a cloud based lung / bone disease auto diagnosis system and method.

The lung / bone disease assumed in the above embodiment is merely one example referred to as a disease. It is needless to say that the technical idea of the present invention can be applied to a system and method for automatically diagnosing other diseases.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present invention.

10: Mobile X-ray device
20: Picture Archiving Communication System (PACS)
30: Desk-Top Viewer
40: Mobile device
100: Lung / bone disease auto diagnosis server
110: Automatic diagnosis module
120: Analysis result management module

Claims (10)

Receiving a medical image of a patient;
Analyzing and automatically diagnosing the received medical image;
Transmitting an automatic diagnosis result to a doctor terminal;
Receiving the automatic diagnosis from the doctor terminal; And
And storing the identified automatic diagnosis.
The method according to claim 1,
Wherein the receiving step comprises:
Wherein only a medical image for a patient with a specific disease is received from a system for storing medical images.
The method according to claim 1,
And image-processing the received medical image,
In the automatic diagnosis step,
And analyzing the image-processed medical image.
The method of claim 3,
The parameters required for the image processing include,
And the diagnostic terminal is set by the doctor terminal.
The method according to claim 1,
Wherein,
And the automatic diagnosis is confirmed whether or not the automatic diagnosis is accepted.
The method of claim 5,
Further comprising receiving additional diagnosis from the doctor terminal,
Wherein,
Characterized in that the identified automatic diagnosis and the additional diagnosis are stored together.
The method of claim 6,
And transmitting the stored diagnostic contents to the patient terminal.
The method of claim 6,
In the additional diagnosis,
Wherein information about the state of the patient is stored.
The method of claim 8,
In the state of the patient,
Wherein the diagnosis includes at least one of a progression of the disease progression of the patient, a content of the symptom improvement of the patient, and a content of the symptom deterioration of the patient.
A diagnostic module for receiving and analyzing a medical image of a patient to automatically diagnose and transmitting an automatic diagnosis result to a doctor terminal; And
And a management module for confirming the automatic diagnosis from the doctor terminal and storing the confirmed automatic diagnosis.
KR1020150025681A 2015-02-24 2015-02-24 Cloud based Lung/Bone Disease Automated Diagnosis System and Method KR20160103578A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102108401B1 (en) 2019-06-27 2020-05-28 주식회사 딥노이드 Identification server by artificial intelligence and image processing system based on pacs including the same
KR20230068060A (en) 2021-11-10 2023-05-17 주식회사 메디칼스탠다드 Method and apparatus for processing a medical image based on AI Inference

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102108401B1 (en) 2019-06-27 2020-05-28 주식회사 딥노이드 Identification server by artificial intelligence and image processing system based on pacs including the same
KR20230068060A (en) 2021-11-10 2023-05-17 주식회사 메디칼스탠다드 Method and apparatus for processing a medical image based on AI Inference

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