CN111292837A - Medical image auxiliary diagnosis system and triggering method, device, medium and equipment thereof - Google Patents
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Abstract
The invention provides a medical image auxiliary diagnosis system and a triggering method, a device, a medium and equipment thereof. The device for triggering the medical image auxiliary diagnosis system comprises: the configuration module is used for configuring different identification area parameters aiming at different hospital information systems or user display interfaces; the identification module is used for capturing a characteristic image from a display interface of medical image information of the hospital information system according to the identification area parameters and identifying characteristic information from the characteristic image; and the triggering module is used for triggering the medical image auxiliary diagnosis system according to the characteristic information and enabling the medical image auxiliary diagnosis system to display auxiliary diagnosis information corresponding to the characteristic information for reference of a doctor. The invention is convenient for realizing seamless switching and jumping between the AI auxiliary diagnosis software and the hospital information system, reduces unnecessary repetitive labor for doctors and is beneficial to improving the working efficiency of the doctors.
Description
Technical Field
The invention relates to the technical field of AI auxiliary diagnosis, in particular to a medical image auxiliary diagnosis system and a triggering method, a device, a medium and equipment thereof.
Background
PACS Systems (Picture Archiving and Communication Systems) refer to medical image Archiving and Communication Systems, which are information Systems applied to medical image management in hospitals generated by medical devices such as CT, MR, etc.; the RIS system (radiology information system) refers to a radiology information management system, and has the main functions of optimizing the management of the hospital radiology workflow, including: registering, reserving, seeing a doctor, generating images, outputting films, reporting, auditing, issuing films and the like. The two systems are common hospital information systems for doctors to read and write diagnosis reports in various hospitals at present. The general diagnostic procedure is: the medical image scanning is completed by a patient in a scanning room, the image is automatically uploaded to a hospital information system after the scanning is completed, the uploaded medical image is accompanied by patient ID information, scanning record information and the like, and a doctor opens the medical image of the patient by operating the hospital information system on a computer to perform film reading diagnosis and issue a diagnosis report.
In recent years, with the development of software technology and artificial intelligence technology, there have been many companies that have introduced a medical image auxiliary diagnosis system, which is also called AI auxiliary diagnosis software, and the AI auxiliary diagnosis software is used to perform analysis and diagnosis of medical images, provide information for auxiliary diagnosis, and even directly issue a diagnosis report. Although the AI auxiliary diagnosis software can perform auxiliary diagnosis on medical images of patients, the AI auxiliary diagnosis software and a hospital information system of a hospital are two separate sets of software, and doctors often need to perform manual switching operation between different pieces of software. For example, when a doctor writes a report for a patient, the doctor needs to open a task in the hospital information system, the task has ID information of the patient, and at this time, if the doctor wants to refer to the diagnosis result of the AI auxiliary diagnosis software, the doctor needs to remember the ID and open the AI auxiliary diagnosis software to search the intelligent diagnosis result of the ID.
Therefore, the AI auxiliary diagnosis software and the hospital information system are independent from each other, so that the doctor needs to switch and jump between the two software back and forth during working, the operation is very inconvenient, and the working efficiency of the doctor is influenced to a certain extent.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a medical image aided diagnosis system and a triggering method, device, medium and apparatus thereof, which are used to solve the technical problem in the prior art that seamless switching and jumping between AI aided diagnosis software and hospital information system are impossible.
To achieve the above and other related objects, the present invention provides an apparatus for triggering a medical image-aided diagnosis system, comprising: the configuration module is used for configuring different identification area parameters aiming at different hospital information systems or user display interfaces; the identification module is used for capturing a characteristic image from a display interface of medical image information of the hospital information system according to the identification area parameters and identifying characteristic information from the characteristic image; and the triggering module is used for triggering the medical image auxiliary diagnosis system according to the characteristic information and enabling the medical image auxiliary diagnosis system to display auxiliary diagnosis information corresponding to the characteristic information for reference of a doctor.
In an embodiment of the present invention, the configuration module is further configured to configure prefix information; the identification module is further configured to: and adding the prefix information before the characteristic information to update the characteristic information, so that the triggering module triggers the medical image auxiliary diagnosis system according to the updated characteristic information.
In an embodiment of the present invention, the configuration module is further configured to configure a filtering rule; the identification module is further configured to: and extracting a characteristic field from the characteristic information according to the filtering rule so that the triggering module triggers the medical image auxiliary diagnosis system according to the characteristic field.
In an embodiment of the present invention, the configuration module is further configured to configure a correction script; the identification module is further configured to: and correcting the characteristic information according to the correction script so that the triggering module triggers the medical image auxiliary diagnosis system according to the corrected characteristic information.
In an embodiment of the present invention, the configuration module is further configured to configure at least one of the following parameters:
identifying an interval; the identification module is further configured to: capturing characteristic images from a display interface of medical image information of the hospital information system according to the identification intervals;
a target language; the identification module is further configured to: identifying the characteristic information according to the target language;
identifying a mode; the identification module is further configured to: determining to identify the feature information of the whole feature image or identify the feature information after segmenting the feature image according to the identification mode;
scaling times; the identification module is further configured to: correspondingly reducing or amplifying the characteristic image according to the scaling factor and then identifying the characteristic information;
a pixel conversion parameter; the identification module is further configured to: and determining whether the characteristic image of the white characters under the black background needs to be converted into the characteristic image of the black characters under the white background according to the pixel conversion parameters, and then identifying the characteristic information.
To achieve the above and other related objects, the present invention provides a method for triggering a medical image-assisted diagnosis system, comprising: configuring different identification area parameters aiming at different hospital information systems or user display interfaces; capturing a characteristic image from a display interface of medical image information of the hospital information system according to the identification region parameter, and identifying characteristic information from the characteristic image; and triggering a medical image auxiliary diagnosis system according to the characteristic information, and enabling the medical image auxiliary diagnosis system to display auxiliary diagnosis information corresponding to the characteristic information for reference of a doctor.
In an embodiment of the present invention, the configuration module is further configured to configure prefix information, filtering rules, and correction scripts; the method further comprises the following steps: adding the prefix information before the feature information to update the feature information; extracting a characteristic field from the updated characteristic information according to the filtering rule; correcting the characteristic field according to the correction script to update the characteristic field; and triggering the medical image auxiliary diagnosis system according to the updated characteristic field.
To achieve the above and other related objects, the present invention provides a medical image-aided diagnosis system, including the device for triggering the medical image-aided diagnosis system.
To achieve the above and other related objects, the present invention provides an electronic device including the apparatus for triggering a medical image-assisted diagnosis system.
To achieve the above and other related objects, the present invention provides a computer-readable storage medium, in which a computer program is stored, which, when being loaded and executed by a processor, implements the method for triggering a medical image-assisted diagnosis system.
As described above, the medical image diagnosis assisting system, the triggering method, the triggering device, the triggering medium and the triggering device of the medical image diagnosis assisting system according to the present invention have the following advantages: the seamless switching and jumping between the AI auxiliary diagnosis software and the hospital information system are convenient to realize, unnecessary repetitive labor is relieved for doctors, and the work efficiency of the doctors is improved.
Drawings
Fig. 1 is a flowchart illustrating a method for triggering a medical image-assisted diagnosis system according to an embodiment of the present invention.
Fig. 2 is a block diagram of an apparatus for triggering a medical image-assisted diagnosis system according to an embodiment of the present invention.
Fig. 3 is a main interface diagram of an apparatus for triggering a medical image-assisted diagnosis system according to an embodiment of the present invention.
Fig. 4 is an interface diagram showing basic information settings of an apparatus for triggering a medical image-assisted diagnosis system according to an embodiment of the present invention.
Fig. 5 is a schematic diagram illustrating the formation of a rectangular recognition frame according to an embodiment of the invention.
Fig. 6 is an interface diagram of OCR recognition parameter settings of an apparatus for triggering a medical image-assisted diagnosis system according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
As shown in fig. 1, in order to implement seamless switching and jumping between the AI auxiliary diagnosis software and the hospital information system and reduce unnecessary repetitive work of a doctor, thereby improving the work efficiency of the doctor, an embodiment of the present invention provides a method for triggering a medical image auxiliary diagnosis system, including the following steps:
s11: configuring different identification area parameters aiming at different hospital information systems or user display interfaces;
s12: capturing a characteristic image from a display interface of medical image information of the hospital information system according to the identification region parameter, and identifying characteristic information from the characteristic image;
s13: and triggering a medical image auxiliary diagnosis system according to the characteristic information, and enabling the medical image auxiliary diagnosis system to display auxiliary diagnosis information corresponding to the characteristic information for reference of a doctor.
All or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. Based upon such an understanding, the present invention also provides a computer program product comprising one or more computer instructions. The computer instructions may be stored in a computer readable storage medium. The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
In the present embodiment, the steps S11 to S13 are executed by the apparatus 20 for triggering the medical image aided diagnosis system shown in fig. 2. The apparatus 20 comprises: a configuration module 21 for executing step S11, an identification module 22 for executing step S12, and a trigger module 23 for executing step S13.
It should be noted that, as those skilled in the art should understand, the division of each module of the apparatus 20 is only a logical division, and the actual implementation can be wholly or partially integrated into one or more physical entities. And the modules can be realized in a form that all software is called by the processing element, or in a form that all the modules are realized in a form that all the modules are called by the processing element, or in a form that part of the modules are called by the hardware. For example, the recognition module 22 may be a separate processing element, or may be integrated into a chip, or may be stored in a memory in the form of program code, and the function of the recognition module 22 may be invoked and executed by a certain processing element. Other modules are implemented similarly. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
An embodiment of the apparatus 20 for triggering a medical image-assisted diagnosis system will be described in detail with reference to fig. 3 to 6.
Fig. 3 shows a main interface effect diagram of the device 20 for triggering the medical image-assisted diagnosis system. The main interface is a suspension interface, consists of a circular button and an input box, and can be dragged to any position in a user display interface.
When the user inputs a command line such as "> configure" in the input box, the device 20 displays a configuration interface as shown in fig. 4 on the user display interface, and the user can set the identification area parameters, that is, the rectX, rectY, rectWidth, and rectHeight coordinate values of one rectangular identification box, in the configuration interface according to the condition of the hospital information system and the display interface used by the user. The device 20 captures a feature image in a display interface of medical image information of the hospital information system by using the rectangular recognition frame. Preferably, as shown in fig. 5, the user may form a rectangular frame by long-pressing and dragging the left mouse button at the "image checking uniform number" and the "16 CT number" of the display interface of the medical image diagnosis report of the hospital information system, click the Enter key or double click the rectangle frame inside the confirmation rectangle frame and quit the grabbing function, and the device 20 may automatically recognize the four coordinate values of the rectangular frame and correspondingly fill in the input frames of rectX, rect y, rect width, and rect height, thereby completing the setting of the recognized area parameters. When the medical image diagnosis report is displayed again on the display interface of the user, the apparatus 20 captures the region image of the corresponding position and the corresponding size as the feature image using the rectangular recognition frame.
In addition, the configuration interface shown in fig. 4 includes basic information, auto-id intervals, and other settings. In particular, the identification object may choose to identify the examination number ID or to identify the patient ID number; the recognition interval may determine the frequency of capturing the feature images from the display interface of the medical image information of the hospital information system by the recognition module 22; the prefix information is typically empty, and after it is added, the identification module 22 adds the prefix in front of the identified characteristic information, thereby updating the characteristic information, for example: the feature information is originally "345" and the feature information identified by the identification module 22 is also "345", but if "C345" is required to query the auxiliary diagnostic information in the medical image auxiliary diagnostic system, then "C" is required to be input into the prefix input box.
Figure 6 shows another configuration interface for the configuration module 21 for OCR recognition parameter settings of the recognition module 22, the configuration interface comprising: the method comprises an original image display area, an identification parameter setting area, OCR (optical character recognition) result display, regular extraction and JS script correction, and can be used for setting a target language, a zoom multiple, a pixel conversion parameter, a filtering rule, a correction script and the like.
The following describes the operation flow of the user in detail:
1) the feature images captured by the previous rectangular recognition frame will be synchronized into the original image display area, as shown in the image "16 CT number: c49879'; if the existing identified images need to be subjected to parameter adjustment and verification, an open button can be directly clicked to open other images;
2) by directly clicking the ' identify ' button, the image identification result is displayed in a result box, such as the characters ' 16CT number: c49879 "and shows the elapsed time" 0.055s ";
3) when the key feature recognition is wrong, such as "a" is recognized as "4", the image magnification in the recognition parameter setting area can be appropriately adjusted; in view of the problems that the font of the medical image of some hospitals is smaller, which causes that the 'a' is recognized as '4', and the like, the matching parameter is added, so that the recognition accuracy rate can be properly improved; in the suggested implementation process, the parameter is not required to be adjusted, namely the default value is 1, when the recognition effect is not good enough, the value can be properly improved, and the current empirical value is 1-3, and can be properly amplified according to the situation; there are some scenes too, the typeface is clear and big, when setting up the value too big, will also lead to discerning inaccurately, similar to people, if too close to typeface, no matter how clear the typeface is, people can't discern accurately either, so can also set up and narrow the parameter rationally;
4) setting an identification mode, such as: identifying the characteristic information of the whole characteristic image, identifying the characteristic information after segmenting the characteristic image and the like, wherein different identification modes have different effects;
5) if the image has Chinese or the recognition area is not large, the recognition character set can be adjusted to be Chinese; the recognition character set also supports English or a combination of English and English; determining whether the character set is recognized to improve recognition accuracy, such as character display of the character "c" in the English character set and in the Chinese character set or some difference;
6) if the feature image is already in white and black, please turn off the reverse image, if the image is in black and white, the reverse image may be turned on; the reason is that: the recognition effect of the white-background black characters is higher in accuracy;
7) some characteristic images are very fuzzy or have backgrounds, and when the characteristic images are difficult to process, the identification effect can be improved through binarization;
8) in an OCR recognition result, if the feature information is correctly recognized and a plurality of groups of feature fields are available, filling an accurate regular expression, and extracting the desired feature fields by using the regular expression, wherein the more accurate the regular expression is set, the higher the recognition precision is; clicking the button "regular extraction" for field extraction, as shown in fig. 6: in the result, "capture 0 ═ is program addition, and the character string after the equal sign is a regular extraction result; when there are a plurality of recognition results, all the results will be displayed as capture 1 and capture 2; so far, if the recognition target can be displayed in the result column of the regular extraction, all the settings can be stored, the configuration interface is quitted, the working stage is entered, and no JS script correction is needed;
9) in some special cases, when some characters cannot be processed by the above method, a JS script is required to perform rectification processing (script files of the JS script are placed in an installation directory in advance), for example, the character "O" is identified with a number "0"; after the JS correction script sentence is written, correcting the extracted result; if "C" in the regular expression result "C49879" is "C" recognized by mistake as "0", the user handles by clicking the button "JS script rectification", and the correct result "049879" is displayed below;
10) different recognition engines can be selected for recognition, and the different recognition engines are different in adopted recognition algorithm.
It should be noted that, the user does not need to operate each flow in 1) to 10) above, and should select the flow according to actual needs, so as to set the optimal configuration parameters meeting the requirements.
And when all the settings are finished, saving and exiting. The device 20 captures the feature image from the display interface of the medical image information of the hospital information system according to the preset time interval, and the identified feature field triggers the medical image auxiliary diagnosis system to open and display the auxiliary diagnosis information corresponding to the feature field, so that the medical image which has completed auxiliary diagnosis is accurately and quickly opened, and a doctor can conveniently check the auxiliary diagnosis result. For example: the feature field is the examination number 1234, and the device 20 triggers the medical image auxiliary diagnosis system to open and display the auxiliary diagnosis information of the examination number 1234; another example is: the feature field is a patient 5678, and the apparatus 20 triggers the medical image assisted diagnosis system to turn on and display auxiliary diagnosis information of the patient 5678.
In an embodiment, the apparatus 20 is not a separate software product, but is a functional module of a medical image aided diagnosis system, which is a part of the medical image aided diagnosis system, in other words, the medical image aided diagnosis system can analyze and output aided diagnosis results of medical images, and can realize seamless switching and jumping between the AI aided diagnosis software and the hospital information system.
In addition, the present invention also provides an electronic device 40, wherein the electronic device 40 may be a desktop computer, a portable computer, a smart phone, or the like, and particularly, the electronic device 40 is mounted with the apparatus 20 described in the foregoing embodiment.
In summary, the medical image auxiliary diagnosis system and the triggering method, device, medium and equipment thereof of the invention facilitate seamless switching and skipping between the AI auxiliary diagnosis software and the hospital information system, reduce unnecessary repetitive labor for doctors, and contribute to improving the working efficiency of doctors. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An apparatus for triggering a medical image-assisted diagnosis system, comprising:
the configuration module is used for configuring different identification area parameters aiming at different hospital information systems or user display interfaces;
the identification module is used for capturing a characteristic image from a display interface of medical image information of the hospital information system according to the identification area parameters and identifying characteristic information from the characteristic image;
and the triggering module is used for triggering the medical image auxiliary diagnosis system according to the characteristic information and enabling the medical image auxiliary diagnosis system to display auxiliary diagnosis information corresponding to the characteristic information for reference of a doctor.
2. The apparatus of claim 1, wherein the configuration module is further configured to configure prefix information;
the identification module is further configured to: and adding the prefix information before the characteristic information to update the characteristic information, so that the triggering module triggers the medical image auxiliary diagnosis system according to the updated characteristic information.
3. The apparatus of claim 1, wherein the configuration module is further configured to configure a filtering rule;
the identification module is further configured to: and extracting a characteristic field from the characteristic information according to the filtering rule so that the triggering module triggers the medical image auxiliary diagnosis system according to the characteristic field.
4. The apparatus of claim 1, wherein the configuration module is further configured to configure a remediation script;
the identification module is further configured to: and correcting the characteristic information according to the correction script so that the triggering module triggers the medical image auxiliary diagnosis system according to the corrected characteristic information.
5. The apparatus of claim 1, wherein the configuration module is further configured to configure at least one of the following parameters:
identifying an interval; the identification module is further configured to: capturing characteristic images from a display interface of medical image information of the hospital information system according to the identification intervals;
a target language; the identification module is further configured to: identifying the characteristic information according to the target language;
identifying a mode; the identification module is further configured to: determining to identify the feature information of the whole feature image or identify the feature information after segmenting the feature image according to the identification mode;
scaling times; the identification module is further configured to: correspondingly reducing or amplifying the characteristic image according to the scaling factor and then identifying the characteristic information;
a pixel conversion parameter; the identification module is further configured to: and determining whether the characteristic image of the white characters under the black background needs to be converted into the characteristic image of the black characters under the white background according to the pixel conversion parameters, and then identifying the characteristic information.
6. A method for triggering a medical image-assisted diagnosis system, comprising:
configuring different identification area parameters aiming at different hospital information systems or user display interfaces;
capturing a characteristic image from a display interface of medical image information of the hospital information system according to the identification region parameter, and identifying characteristic information from the characteristic image;
and triggering a medical image auxiliary diagnosis system according to the characteristic information, and enabling the medical image auxiliary diagnosis system to display auxiliary diagnosis information corresponding to the characteristic information for reference of a doctor.
7. The method of claim 6, wherein the configuration module is further configured to configure prefix information, filtering rules, and remediation scripts; the method further comprises the following steps:
adding the prefix information before the feature information to update the feature information;
extracting a characteristic field from the updated characteristic information according to the filtering rule;
correcting the characteristic field according to the correction script to update the characteristic field;
and triggering the medical image auxiliary diagnosis system according to the updated characteristic field.
8. A medical image-assisted diagnosis system, comprising: the apparatus for triggering a medical image-assisted diagnosis system as claimed in any one of claims 1 to 5.
9. An electronic device, comprising: the apparatus for triggering a medical image-assisted diagnosis system as claimed in any one of claims 1 to 5.
10. A computer-readable storage medium, in which a computer program is stored which, when being loaded into execution by a processor, carries out the method for triggering a medical image-assisted diagnosis system according to claim 6 or 7.
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