CN109087695A - A kind of data transmission system of the intelligent endoscope image based on Internet of Things - Google Patents
A kind of data transmission system of the intelligent endoscope image based on Internet of Things Download PDFInfo
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- CN109087695A CN109087695A CN201810881685.3A CN201810881685A CN109087695A CN 109087695 A CN109087695 A CN 109087695A CN 201810881685 A CN201810881685 A CN 201810881685A CN 109087695 A CN109087695 A CN 109087695A
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 31
- 238000010191 image analysis Methods 0.000 claims abstract description 56
- 238000005516 engineering process Methods 0.000 claims abstract description 18
- 210000003484 anatomy Anatomy 0.000 claims abstract description 10
- 230000003902 lesions Effects 0.000 claims description 46
- 230000000875 corresponding Effects 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 6
- 238000002224 dissection Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 4
- 238000002674 endoscopic surgery Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 11
- 238000004590 computer program Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000006011 modification reaction Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 230000001360 synchronised Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical Effects 0.000 description 1
- 210000000056 organs Anatomy 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The data transmission system of the present invention relates to a kind of intelligent endoscope image based on Internet of Things, including control centre, the control centre connecting pin is equipped with camera system, control centre's output end is equipped with the backstage AR, the backstage AI, expert terminals and display, the backstage AR and the backstage AI output end are connect with display input terminal, the expert terminals output end is connect with the backstage AR input terminal, the backstage AR includes AR processor, AR processor connecting pin is equipped with the first image analysis system, the first image analysis system input terminal is equipped with structural database and output end is equipped with the first alarm unit, the backstage AI includes AI processor.The present invention additionally is able to realize the operation of expert's remote guide by carrying out intellectual analysis to anatomical structure in endoscopic surgery with AR technology and AI technology, provides Multiple reference for doctor, reduces operation risk.
Description
Technical field
The invention belongs to the field of medical instrument technology more particularly to a kind of numbers of the intelligent endoscope image based on Internet of Things
According to Transmission system.
Background technique
Doctor is that viewing endoscope display screen is operated, only relies on doctor when being checked or being performed the operation using endoscope
The body structure currently shown may can not be identified in raw experience, and for might have lesion in some body structures,
The experience for relying only on doctor judges that False Rate is higher.
Summary of the invention
The data transmission system of the present invention provides a kind of intelligent endoscope image based on Internet of Things passes through and uses AR skill
Art and AI technology carry out intellectual analysis guide to the body structure taken in endoscopic surgery, additionally are able to realize that expert is long-range
Guided operation improves the success rate of operation, proposes in the prior art to solve the problems, such as.
Technical solution provided by the invention is as follows: a kind of data transmission system of the intelligent endoscope image based on Internet of Things
System, including control centre, the control centre connecting pin are equipped with camera system, control centre's output end be equipped with the backstage AR,
The backstage AI, expert terminals and display, the backstage AR and the backstage AI output end are connect with display input terminal, and the expert is whole
End output end is connect with the backstage AR input terminal, and the backstage AR includes AR processor, and AR processor connecting pin is equipped with first
Image analysis system, the first image analysis system input terminal is equipped with structural database and output end is equipped with the first alarm list
Member, the backstage AI includes AI processor, and AI processor connecting pin is equipped with the second image analysis system, second image
Analysis system input terminal is equipped with lesion database and output end is equipped with the second alarm unit, is equipped with figure inside the expert terminals
Piece editing machine and picture reception/transmission unit, in which:
The camera system gives the control centre for shooting picture, and by the picture transfer；
The picture transfer that the control centre is used to receive is whole to the AR processor, the AI processor and the expert
End；
The AR processor is used to be sent to the first image analysis system from the received picture of control centre, and passes through AR skill
The picture superposition life for editing mark that art feeds back the picture that the first image analysis system is fed back and the expert terminals
At AR image data, and controls and show the AR image data over the display；
The first image analysis system is used for the anatomical atlas having inside the picture and structural database that receive
It compares, then obtain corresponding anatomical atlas and is sent to AI processor described in AR processor for will be from control
The received picture of the heart is sent to the second image analysis system, and the feedback result based on second image analysis system, passes through
AI technology passes through the picture after mark in the region for identifying lesion from the received picture of control centre, and control
Display is shown；
Second image analysis system is used for the lesion structure picture for having the picture received and lesion data store internal
It compares, obtains lesion structure picture corresponding with the picture received, and be sent to AI processor；
The picture editor will be for that will carry out editor's mark from the received picture of the control centre according to user instructions；
The picture reception/transmission unit be used for from the control centre receive picture and send editor mark after picture to
The AR processor.Preferably, it is equipped with data outputting unit and data input cell inside the control centre, the data are defeated
Unit is connect with the backstage AR, the backstage AI, display and expert terminals out, and the data input cell and camera system and expert are whole
End connection.
Preferably, the camera system includes camera, is equipped with inside the camera for by camera filmed image
The screen capture module of screenshot and picture transmission unit for sending screenshot picture.
Preferably, the camera, display and control centre are all set on endoscopic apparatus.
Preferably, the backstage AR and the backstage AI output end are equipped with cloud server, and the backstage AR and the backstage AI are logical
It crosses wireless communication module to connect with cloud server, the wireless communication module is zigbee module.
Preferably, the first image analysis system and the second image analysis system include the picture for storing picture
Storage unit, and the picture resolution unit for being compared and analyzed to picture.
Preferably, the structural database includes the memory for storing anatomical structure figure.
Preferably, the lesion database includes the memory that storage tape has the anatomical structure figure of lesion.
In the present invention,
1, the picture that camera system is shot is sent to the backstage AR by control centre, and picture is sent to the first image point by AR processor
Analysis system, the first image analysis system compare the anatomical atlas having inside picture and structural database, then
Rummage up corresponding anatomical atlas and be sent to AR processor, AR processor using AR technology by anatomical atlas and specially
Picture Overlapping display after editor's mark of family's terminal feedback is the behaviour of doctor over the display, from historical data and expert opinion
Offer reference data is provided, the success rate of surgical operation is improved；
2, the picture that camera system is shot is sent to the backstage AI by control centre, and the picture of shooting is sent to second by AI processor
Image analysis system, the second image analysis system handle the lesion structure picture that the picture and lesion data store internal have and carry out
Comparison, judges whether the picture has the structure of lesion, obtains lesion structure picture corresponding with the picture received, concurrently
AI processor is given, AI processor identifies the region of lesion using AI technology on the picture of shooting, then will be after mark
Picture is shown over the display, is carried out lesion judgement for doctor and is provided reference.
Detailed description of the invention
Fig. 1 is overall structure diagram of the invention；
Fig. 2 is the backstage AR and the backstage AI structural schematic diagram of the invention；
Fig. 3 is expert terminals structural schematic diagram of the invention；
Fig. 4 is control centre's structural schematic diagram of the invention；
Fig. 5 is camera system structural schematic diagram of the invention.
In figure: 1 control centre, 2 camera systems, the backstage 3 AR, the backstage 4 AI, 5 expert terminals, 6 displays, 7 AR processing
Device, 8 first image analysis systems, 9 structural databases, 10 first alarm units, 11 AI processors, 12 second image analysis systems
System, the output of 13 lesion databases, 14 second alarm units, 15 picture editors, 16 picture reception/transmission units, 17 data are single
Member, eighteen data input unit, 19 screen capture modules, 20 picture transmission units, 21 cloud servers.
Specific embodiment
Embodiment 1:
A kind of data transmission system of the intelligent endoscope image based on Internet of Things according to shown in Fig. 1-3, including control centre
1,1 connecting pin of control centre be equipped with camera system 2,1 output end of control centre be equipped with AR backstage 3, AI backstage 4, specially
Family's terminal 5 and display 6,4 output ends of the backstage the AR backstage 3 and AI are connect with 6 input terminal of display, the expert terminals 5
3 input terminals of the backstage output end and AR connects, and the backstage AR 3 includes AR processor 7, and 7 connecting pin of AR processor is equipped with the
One image analysis system 8,8 input terminal of the first image analysis system is equipped with structural database 9 and output end is equipped with first
Alarm unit 10, the structural database 9 include the memory of storage anatomical structure figure, and the backstage AI 4 includes AI processor
11,11 connecting pin of AI processor is equipped with the second image analysis system 12, the first image analysis system 8 and the second image
Analysis system 12 includes the image store for storing picture, and the picture solution for comparing and analyzing to picture
Unit is analysed, 12 input terminal of the second image analysis system is equipped with lesion database 13 and output end is equipped with the second alarm unit
14, the lesion database 13 includes the memory that storage tape has the anatomical structure figure of lesion, is equipped with inside the expert terminals 5
Picture editor 15 and picture reception/transmission unit 16, in which:
The camera system 2 gives the control centre 1 for shooting picture, and by the picture transfer；
The control centre 1 for will the picture transfer that receive to the AR processor 7, the AI processor 11 and it is described specially
Family's terminal 5；
The AR processor 7 is used to that the first image analysis system 8 will to be sent to from the received picture of control centre 1, and passes through
AR technology is by the picture that the first image analysis system 8 is fed back and the picture for editing mark that the expert terminals 5 are fed back
Superposition generates AR image data, and controls and show the AR image data on the display 6；
The first image analysis system 8 is used for the anatomical structure figure having inside the picture received and structural database 9
Piece compares, and then obtains corresponding anatomical atlas and is sent to AR processor 7；
The AI processor 11 is based on for that will be sent to the second image analysis system 12 from the received picture of control centre 1
The feedback result of second image analysis system 12 is identified from the received picture of control centre 1 by AI technology described
The region of lesion out, and control show the picture after mark by display 6；
Second image analysis system 12 is used for the lesion structure having inside the picture received and lesion database 13
Picture compares, and obtains lesion structure picture corresponding with the picture received, and be sent to AI processor 11；
The picture editor 15 will be for that will carry out editor's mark from the received picture of the control centre 1 according to user instructions；
The picture reception/transmission unit 16 is used to receive picture from the control centre 1 and send the figure after editor's mark
Piece is to the AR processor 7.
Wherein, anatomical atlas is that the corresponding anatomical structure figure of human body any organ can by feeding back anatomical structure figure
So that the clearer internal structure for understanding the position that current camera system takes of doctor, facilitates the subsequent operation behaviour of doctor
Make.
The embodiment of the present invention also provides a kind of data of the data transmission system of intelligent endoscope image for Internet of Things
Processing method, comprising:
Camera system shoots picture, gives the picture transfer of shooting to the control centre 1；
Control centre is by the picture transfer received to AR processor 7, AI processor 11 and expert terminals 5；
AR processor 7 will be sent to the first image analysis system 8 from the received picture of control centre 1, and passing through AR technology will
The picture for editing mark that the picture and the expert terminals 5 that the first image analysis system 8 is fed back are fed back, which is superimposed, to be generated
AR image data, and control and show the AR image data on the display 6；
The first image analysis system 8 by the anatomical atlas having inside the picture received and structural database 9 into
Row comparison, then obtains corresponding anatomical atlas and is sent to AR processor 7；
The AI processor 11 will be sent to the second image analysis system 12 from the received picture of control centre 1, and based on described
The feedback result of second image analysis system 12 identifies disease from the received picture of control centre 1 described by AI technology
The region of stove, and control show the picture after mark by display 6；
The lesion structure picture that second image analysis system 12 will have inside the picture received and lesion database 13
It compares, obtains lesion structure picture corresponding with the picture received, and be sent to AI processor 11；
Picture editor 15 in expert terminals 5 will edit according to user instructions from the received picture of the control centre 1
Mark.
The picture that camera system is shot is sent to AR processor by control centre, and picture is sent to the first figure by AR processor
As analysis system, the first image analysis system compares the anatomical atlas having inside picture and structural database,
Then it rummages up corresponding anatomical atlas and is sent to AR processor, AR processor utilizes AR technology by anatomical atlas
And the picture Overlapping display after editor's mark of expert terminals feedback is over the display, is doctor from historical data and expert opinion
Operation provide reference data, improve the success rate of surgical operation；
The picture that camera system is shot is sent to AI processor by control centre, and the picture of shooting is sent to second by AI processor
Image analysis system, the second image analysis system handle the lesion structure picture that the picture and lesion data store internal have and carry out
Comparison, judges whether the picture has the structure of lesion, obtains lesion structure picture corresponding with the picture received, concurrently
AI processor is given, AI processor identifies the region of lesion using AI technology on the picture of shooting, then will be after mark
Picture is shown over the display, is carried out lesion judgement for doctor and is provided reference.Embodiment 2:
A kind of data transmission system of intelligent endoscope image based on Internet of Things according to Fig.2, the 3 and AI of the backstage AR
4 output ends are equipped with cloud server 21 from the background, the backstage the AR backstage 3 and AI 4 module and cloud service by wireless communication
Device 21 connects, and the wireless communication module is zigbee module, and the backstage the AR backstage 3 and AI 4 can be by the picture of storage, search pair
The picture of ratio and the picture with lesion of editor's mark are synchronized to cloud server 21, convenient for backup storage, entangle for medical treatment
It is confused that evidence is provided, and condition is checked convenient for the later period.
The data transmission system of a kind of intelligent endoscope image based on Internet of Things according to Fig.4, in the control
Data outputting unit 17 and data input cell 18, the backstage data outputting unit 17 and AR 3, the backstage AI are equipped with inside the heart 1
4, display 6 and expert terminals 5 connect, and the data input cell 18 is connect with camera system 2 and expert terminals 5, facilitate figure
The input and output of piece；
A kind of data transmission system of the intelligent endoscope image based on Internet of Things according to figure 5, the camera system 2 are wrapped
It includes camera, is equipped with inside the camera for by the screen capture module 19 of camera filmed image screenshot and being used to send screenshot
The picture transmission unit 20 of picture, the camera, display 6 and control centre 1 are all set on endoscopic apparatus, can incite somebody to action
The video that camera is shot on endoscopic apparatus carries out screenshot, and then passing through picture transmission unit 20 is sent to control centre 1, by
The distribution of control centre 1 is sent.
Working principle of the present invention:
In use, camera shoots the video at interior surgical anatomic position, then passes through 19 screenshot of screen capture module and pass through picture and send out
Send unit 20 that screenshot picture is sent to control centre 1, picture is sent to the backstage AR 3 simultaneously, the backstage AI 4, shown by control centre 1
Show that device 6 and expert terminals 5, display 6 show picture, doctor facilitated to be operated；
Screenshot picture is sent to the backstage AR 3, AR processor 7 and screenshot picture is sent to the first image analysis system 8, the first image
Analysis system 8 compares the anatomical atlas having inside screenshot picture and structural database 9, then rummages up correspondence
Anatomical atlas and be sent to AR processor 7, AR processor 7 is using AR technology by anatomical atlas and expert terminals 5
The picture Overlapping display of feedback provides reference on the display 6, for doctor's operation, when searching less than anatomical atlas, the
One alarm unit 10 is alarmed by display 6；
Screenshot picture is sent to the backstage AI 4, AI processor 11 and the anatomical atlas of screenshot is sent to the second image analysis system
System 12, the lesion structure picture that has carries out pair inside the second image analysis system 12 processing screenshot picture and lesion database 13
Than judging to dissect picture with the presence or absence of lesion structure, and the corresponding lesion structure picture of the screenshot is sent to AR processor
Screenshot picture identification is gone out the region of lesion using AI technology by 7, AR processors 7, then shows the dissection picture after mark
On display 6, reference is provided for doctor's subsequent operation, when determining there are when lesion, the second alarm unit 14 is reported by display 6
It is alert；
Screenshot picture is sent to expert terminals 5, can be realized expert's remote operation real-time instruction, by real-time video screenshot under scope
Picture be input in expert terminals 5 by data input cell 18, expert is compiled in viewing terminal by picture editor 15
Screenshot picture is collected, the screenshot picture of editor feeds back to AR processor 7, the dissection knot that will acquire by AR processor 7 using AR technology
The picture Overlapping display that composition piece and expert terminals 5 are fed back is on the display 6；
The screenshot picture of storage, the picture of search comparison and editor's mark can be had lesion by the backstage the AR backstage 3 and AI 4
Picture be synchronized to cloud server 21, convenient for backup storage, provide evidence for medical tangle, and check the state of an illness convenient for the later period
Situation.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The shape for the computer program product implemented in usable storage medium (including but not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (8)
1. a kind of data transmission system of the intelligent endoscope image based on Internet of Things, which is characterized in that including control centre
(1), control centre (1) connecting pin be equipped with camera system (2), control centre's (1) output end be equipped with AR backstage (3),
The backstage AI (4), expert terminals (5) and display (6), the backstage AR (3) and AI backstage (4) output end and display (6) are defeated
Enter end connection, expert terminals (5) output end is connect with the backstage AR (3) input terminal, and the backstage AR (3) includes AR processor
(7), AR processor (7) connecting pin is equipped with the first image analysis system (8), the first image analysis system (8) input
End is equipped with structural database (9) and output end is equipped with the first alarm unit (10), and the backstage AI (4) includes AI processor
(11), AI processor (11) connecting pin is equipped with the second image analysis system (12), second image analysis system (12)
Input terminal is equipped with lesion database (13) and output end is equipped with the second alarm unit (14), sets inside the expert terminals (5)
There are picture editor (15) and picture reception/transmission unit (16), in which:
The camera system (2) gives the control centre (1) for shooting picture, and by the picture transfer；
The control centre (1) for will the picture transfer that receive to the AR processor (7), the AI processor (11) and
The expert terminals (5)；
The AR processor (7) is used to that the first image analysis system (8) will to be sent to from control centre (1) received picture, with
And it is edited by AR technology by what picture and the expert terminals (5) that the first image analysis system (8) is fed back were fed back
The picture superposition of mark generates AR image data, and controls and show the AR image data on display (6)；
The first image analysis system (8) is used for the dissection knot having inside the picture received and structural database (9)
Composition piece compares, and then obtains corresponding anatomical atlas and is sent to AR processor (7)；
The AI processor (11) is used to that the second image analysis system (12) will to be sent to from control centre (1) received picture,
And it is based on the feedback result of second image analysis system (12), by AI technology described received from control centre (1)
The region of lesion is identified on picture, and control shows the picture after mark by display (6)；
Second image analysis system (12) is used for the lesion having inside the picture received and lesion database (13)
Structure picture compares, and obtains lesion structure picture corresponding with the picture received, and be sent to AI processor
(11)；
The picture editor (15) will be for that will carry out editor's mark from the control centre (1) received picture according to user instructions
Note；
After the picture reception/transmission unit (16) is used to receive picture from the control centre (1) and send editor's mark
Picture to the AR processor (7).
2. a kind of data transmission system of the intelligent endoscope image based on Internet of Things as described in claim 1, which is characterized in that
Data outputting unit (17) and data input cell (18), the data outputting unit are equipped with inside the control centre (1)
(17) connect with the backstage AR (3), the backstage AI (4), display (6) and expert terminals (5), the data input cell (18) with take the photograph
As system (2) and expert terminals (5) connect.
3. a kind of data transmission system of the intelligent endoscope image based on Internet of Things as described in claim 1, which is characterized in that
The camera system (2) includes camera, is equipped with inside the camera for by the screenshot mould of camera filmed image screenshot
Block (19) and picture transmission unit (20) for sending screenshot picture.
4. a kind of data transmission system of the intelligent endoscope image based on Internet of Things as claimed in claim 3, which is characterized in that
The camera, display (6) and control centre (1) are all set on endoscopic apparatus.
5. a kind of data transmission system of the intelligent endoscope image based on Internet of Things as described in claim 1, which is characterized in that
The backstage AR (3) and the backstage AI (4) output end are equipped with cloud server (21), and the backstage AR (3) and the backstage AI (4) are logical
It crosses wireless communication module to connect with cloud server (21), the wireless communication module is zigbee module.
6. a kind of data transmission system of the intelligent endoscope image based on Internet of Things as described in claim 1, which is characterized in that
The first image analysis system (8) and the second image analysis system (12) include storing list for storing the picture of picture
Member, and the picture resolution unit for being compared and analyzed to picture.
7. a kind of data transmission system of the intelligent endoscope image based on Internet of Things as described in claim 1, which is characterized in that
The structural database (9) includes the memory for storing anatomical structure figure.
8. a kind of data transmission system of the intelligent endoscope image based on Internet of Things as described in claim 1, which is characterized in that
The lesion database (13) includes the memory that storage tape has the anatomical structure figure of lesion.
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