CN113273963A - Postoperative wound hemostasis system and method for hepatobiliary pancreatic patient - Google Patents

Postoperative wound hemostasis system and method for hepatobiliary pancreatic patient Download PDF

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CN113273963A
CN113273963A CN202110494321.1A CN202110494321A CN113273963A CN 113273963 A CN113273963 A CN 113273963A CN 202110494321 A CN202110494321 A CN 202110494321A CN 113273963 A CN113273963 A CN 113273963A
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image
module
edge
wound
patient
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陈小燕
何胜
蒋丽娟
林文
李敏
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Western Theater General Hospital of PLA
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    • A61B5/0035—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for acquisition of images from more than one imaging mode, e.g. combining MRI and optical tomography
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Abstract

The invention belongs to the technical field of postoperative hemostasis, and discloses a postoperative wound hemostasis system and method for a hepatobiliary pancreas patient, wherein the postoperative wound hemostasis system for the hepatobiliary pancreas patient comprises: the blood flow monitoring device comprises an image acquisition module, an image enhancement module, an image analysis module, a cleaning module, a central control module, a disinfection module, a hemostatic patch laying module, a blood flow detection module, a hemostatic patch replacing module and an updating display module. According to the method, the edge extraction is carried out on the image by using the improved Laplace detection operator through the image enhancement module, the definition of the image is improved while the color of the original image is kept, and the improvement effect on the definition of the image is obviously superior to that of the original Laplace detection operator; training the attention degree of manual revision by using an enhanced model through an image analysis module, and improving the accuracy of model output; through the arrangement of the central control module, the invention has intelligent level, reduces the workload of medical staff and improves the wound healing speed of patients.

Description

Postoperative wound hemostasis system and method for hepatobiliary pancreatic patient
Technical Field
The invention belongs to the technical field of postoperative hemostasis, and particularly relates to a postoperative wound hemostasis system and method for a patient with hepatobiliary pancreas.
Background
At present, after the operation, the hepatobiliary pancreas operation patient is discharged from the body through a skin incision in an operation area or a body cavity, and pus, exudate, tissue fluid and other fluids accumulated in the body tissue or the body cavity are guided to the outside to prevent the infection after the fluid deposition operation.
The phenomenon of bleeding inevitably appears after the operation, present be used for liver gall pancreas patient postoperative hemostasis system, often be used for the wound position with tourniquet or hemostatic plaster, then whether the hospital personnel bleed according to the wound position and judge whether need change hemostatic plaster, increased hospital personnel's work burden, reduced work efficiency, and simultaneously, only rely on the naked eye to watch whether to bleed once more and inaccurate, can not in time effectual discovery patient's wound situation, make patient obtain effectual treatment. Therefore, a new hemostatic system and method for liver, gallbladder and pancreas patients after operation is needed.
Through the above analysis, the problems and defects of the prior art are as follows: whether the staff of hospital is bleeding according to the wound position and is judged whether need change hemostatic plaster, has increaseed hospital staff's work burden, has reduced work efficiency, simultaneously, it is inaccurate to only rely on the naked eye to watch whether to bleed once more, can not in time effectual discovery patient's wound situation, makes patient obtain effectual treatment.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a postoperative wound hemostasis system and method for a patient with hepatobiliary pancreas.
The invention is realized in such a way that the postoperative wound hemostasis system for the hepatobiliary pancreas patient comprises:
the image acquisition module is connected with the central control module and is used for acquiring RGB image information of the postoperative wound of the hepatobiliary pancreas patient through the camera;
the image enhancement module is connected with the central control module and used for extracting, sharpening and enhancing the acquired RGB image of the postoperative wound of the hepatobiliary pancreatic patient by utilizing a Laplace detection operator through an image conversion program, and the image enhancement module comprises:
(1) acquiring an acquired RGB image of a postoperative wound of a patient with hepatobiliary pancreas, converting the RGB image into a YUV image, and acquiring a Y-channel image of the YUV image; wherein, the formula for converting the RGB image into YUV image is as follows:
Figure BDA0003053662430000021
(2) performing edge image extraction on the Y-channel image by using an improved Laplace detection operator through an image conversion program to obtain an edge image;
(3) carrying out edge sharpening on the edge image to obtain an image edge sharpening image; enhancing the edge information of the image edge sharpening image by an improved image enhancement method; wherein, the edge sharpening the edge image to obtain an image edge sharpening image includes: and carrying out edge sharpening on the edge image by adopting a function expression according to the value of the Y-channel data, wherein the function expression is as follows:
Figure BDA0003053662430000022
wherein x is Y channel data, m is amplification factor, x1Is the edge and noise threshold, x2Is a strong edge threshold;
(4) converting the Y-channel image of the enhanced image edge image into an RGB image, and outputting the RGB image and an image edge sharpening and enhancing processing image;
the image analysis module is connected with the central control module and used for processing the enhanced image by using the image analysis network model through an image analysis program to obtain an image analysis result, and the image analysis module comprises:
(1) acquiring an RGB image of the postoperative wound of the hepatobiliary pancreas patient after the enhancement treatment;
(2) processing the enhanced image based on an image analysis network model to obtain an image analysis result of the enhanced image;
(3) acquiring a manual revision result of the image analysis result;
(4) obtaining a degree of attention graph related to the manual revision result according to the manual revision result;
(5) based on a first neural network model, performing reinforcement learning on the enhanced image according to the attention degree graph to obtain feature information of the enhanced image after artificial revision and enhancement;
(6) fusing the image analysis result and the feature information after the artificial revision and enhancement based on a second neural network model to obtain an image analysis result after the artificial revision;
the cleaning module is connected with the central control module and used for cleaning the skin around the postoperative wound of the patient with hepatobiliary pancreas through alcohol or iodophor according to the image analysis result;
the central control module is connected with the image acquisition module, the updating display module, the image enhancement module, the image analysis module, the cleaning module, the disinfection module, the hemostatic patch laying module, the blood flow detection module and the hemostatic patch replacing module and is used for coordinating and controlling the normal operation of each module of the postoperative wound hemostatic system for the hepatobiliary pancreatic patient through the central processing unit;
the disinfection module is connected with the central control module and is used for disinfecting postoperative wounds of the hepatobiliary pancreas patients through wound disinfectants;
the hemostatic plaster application module is connected with the central control module and is used for applying the hemostatic plaster to the wound position and performing hemostatic treatment on the postoperative wound of the patient with hepatobiliary pancreas;
the blood flow detection module is connected with the central control module and used for detecting the wound part on which the hemostatic plaster is laid through a blood flow detection program and detecting whether blood still flows out;
the hemostatic plaster replacing module is connected with the central control module, and is used for replacing the hemostatic plaster at the wound position if the bleeding is detected;
and the updating display module is connected with the central control module and used for updating and displaying the acquired RGB image information of the postoperative wound of the hepatobiliary pancreas patient, the image enhancement processing result and the real-time data of the blood flow detection result of the image analysis result through a display for medical staff to use.
Further, in the image enhancement module, the extracting an edge image from the Y-channel image by the improved Laplace detection operator to obtain an edge image includes:
1) multiplying gradient of all directions of a Laplace detection operator by n;
2) and multiplying the Laplace detection operator multiplied by n by k in the horizontal and vertical directions.
Further, in the image enhancement module, the enhancing the edge information of the image edge sharpening map by the improved image enhancement method includes:
(1) acquiring a Y-channel image brightness value;
(2) acquiring the brightness value of the enhanced Y-channel image by using preset parameters through the brightness value of the Y-channel image and the image edge sharpening image;
(3) and according to the brightness value of the enhanced Y-channel image, reducing the brightness of the brightness value exceeding a preset maximum brightness value through a preset parameter, and improving the brightness of the brightness value lower than a preset minimum brightness value.
Further, in the image enhancement module, a peak signal-to-noise ratio, a definition, a contrast and a brightness are used as measurement indexes of image quality, and a calculation formula of the peak signal-to-noise ratio and the definition is as follows:
Figure BDA0003053662430000041
Figure BDA0003053662430000042
where PSNR represents the peak signal-to-noise ratio, sharpness represents the sharpness, MAXIThe maximum value of the image pixel point color is MSE (mean square error) which is a loss function, YiThe brightness value of the Y-channel image edge information is extracted by using a Laplacian gradient function.
Further, in the image analysis module, the fusing the image analysis result and the artificially revised and enhanced feature information based on the second neural network model to obtain an artificially revised image analysis result includes:
1) cascading the image analysis result and the manually revised and enhanced feature information;
2) and inputting the image analysis result after the cascade connection and the characteristic information after the artificial revision enhancement into a second neural network model for fusion to obtain an image analysis result after the artificial revision.
Further, in the image analysis module, the obtaining of the attention degree graph related to the manual revision result according to the manual revision result includes:
if the number of the manual revision results is one, outputting the manual revision results as a degree of attention graph;
and if the number of the manual revision results is multiple, acquiring each manual revision result, and fusing the multiple revision results according to a preset rule to obtain a fused attention degree graph.
Further, the blood flow detection module includes:
the image acquisition unit is used for acquiring CT images of postoperative wound bleeding of a plurality of patients with hepatobiliary pancreas;
the model construction unit is used for constructing a postoperative wound bleeding detection model of the hepatobiliary pancreatic patient according to the acquired CT image based on a 3D segmentation network;
the model training unit is used for training the wound bleeding detection model through the hepatobiliary pancreatic patient postoperative wound bleeding CT image;
and the blood flow detection unit is used for predicting the bleeding probability of each voxel point of the input CT image of the wound to be detected through the trained wound bleeding detection model and realizing the detection, positioning and volume measurement of the postoperative wound bleeding of the hepatobiliary pancreas patient according to the prediction result.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the system for hemostasis of wounds after surgery in a hepatobiliary pancreas patient when executed on an electronic device.
It is another object of the present invention to provide a computer readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the system for post-operative wound hemostasis in hepatobiliary pancreatic patients.
Another object of the present invention is to provide an information data processing terminal, wherein the information data processing terminal is used for implementing the postoperative wound hemostasis system for patients with hepatobiliary pancreas.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the postoperative wound hemostasis system for the hepatobiliary pancreatic patient, the improved Laplace detection operator is used for carrying out edge extraction on the image through the arrangement of the image enhancement module, the definition of the image is improved while the color of the original image is kept, and the improvement effect of the definition of the image is obviously better than that of the original Laplace detection operator; by setting the image analysis module and utilizing a mode of enhancing the attention degree of model training manual revision, the accuracy of model output is improved; through the arrangement of the central control module, the invention has certain intelligent level, reduces the workload of medical staff and improves the wound healing speed of patients.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a block diagram of a postoperative wound hemostasis system for a patient with hepatobiliary pancreas according to an embodiment of the present invention;
in the figure: 1. an image acquisition module; 2. an image enhancement module; 3. an image analysis module; 4. a cleaning module; 5. a central control module; 6. a sterilization module; 7. a hemostatic patch application module; 8. a blood flow detection module; 9. the hemostatic plaster replacement module; 10. and updating the display module.
FIG. 2 is a flow chart of a method for hemostasis of wounds of a patient with hepatobiliary pancreas according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for extracting, sharpening and enhancing an RGB image of an acquired postoperative wound of a hepatobiliary pancreatic patient by using an image conversion program and a Laplace detection operator through an image enhancement module according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for enhancing edge information of an image edge sharpening map by an improved image enhancement method according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for processing an enhanced image by an image analysis module and an image analysis network model to obtain an image analysis result according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a postoperative wound hemostasis system and method for patients with hepatobiliary pancreas, and the technical scheme of the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the hemostatic system for postoperative wound of a hepatobiliary pancreas patient according to an embodiment of the present invention includes: the blood flow monitoring device comprises an image acquisition module 1, an image enhancement module 2, an image analysis module 3, a cleaning module 4, a central control module 5, a disinfection module 6, a hemostatic patch laying module 7, a blood flow detection module 8, a hemostatic patch replacing module 9 and an updating display module 10.
The image acquisition module 1 is connected with the central control module 5 and is used for acquiring RGB image information of a postoperative wound of a hepatobiliary pancreas patient through a camera;
the image enhancement module 2 is connected with the central control module 5 and used for extracting, sharpening and enhancing the acquired RGB image of the postoperative wound of the patient with hepatobiliary pancreas by utilizing a Laplace detection operator through an image conversion program;
the image analysis module 3 is connected with the central control module 5 and is used for processing the enhanced image by utilizing an image analysis network model through an image analysis program to obtain an image analysis result;
the cleaning module 4 is connected with the central control module 5 and used for cleaning the skin around the postoperative wound of the patient with hepatobiliary pancreas through alcohol or iodophor according to the image analysis result;
the central control module 5 is connected with the image acquisition module 1, the image enhancement module 2, the image analysis module 3, the cleaning module 4, the disinfection module 6, the hemostatic patch laying module 7, the blood flow detection module 8, the hemostatic patch replacing module 9 and the updating display module 10 and is used for coordinating and controlling the normal operation of each module of the postoperative wound hemostasis system for the hepatobiliary pancreatic patient through a central processing unit;
the disinfection module 6 is connected with the central control module 5 and is used for disinfecting postoperative wounds of the hepatobiliary pancreas patients through wound disinfectants;
the hemostatic plaster applying module 7 is connected with the central control module 5 and is used for applying the hemostatic plaster to the wound position and performing hemostatic treatment on the postoperative wound of the patient with hepatobiliary pancreas;
the blood flow detection module 8 is connected with the central control module 5 and is used for detecting the wound part on which the hemostatic plaster is laid through a blood flow detection program and detecting whether blood still flows out;
the hemostatic plaster replacing module 9 is connected with the central control module 5, and if the bleeding is detected, the hemostatic plaster at the wound position is replaced;
and the updating display module 10 is connected with the central control module 5 and is used for updating and displaying the acquired RGB image information of the postoperative wound of the patient with hepatobiliary pancreas, the image enhancement processing result and the real-time data of the blood flow detection result of the image analysis result through a display for medical staff to use.
The blood flow detection module 8 provided by the embodiment of the invention comprises:
the image acquisition unit 8-1 is used for acquiring CT images of postoperative wound bleeding of a plurality of patients with hepatobiliary pancreas;
the model construction unit 8-2 is used for constructing a postoperative wound bleeding detection model of the hepatobiliary pancreatic patient according to the acquired CT image based on the 3D segmentation network;
a model training unit 8-3 for training the wound bleeding detection model through the hepatobiliary pancreas patient postoperative wound bleeding CT image;
and the blood flow detection unit 8-4 is used for predicting the bleeding probability of each voxel point of the input CT image of the wound to be detected through the trained wound bleeding detection model and realizing the detection, positioning and volume measurement of the postoperative wound bleeding of the hepatobiliary pancreas patient according to the prediction result.
As shown in FIG. 2, the method for hemostasis of wounds after operations of patients with hepatobiliary pancreas provided by the embodiment of the invention comprises the following steps:
s101, collecting RGB image information of a postoperative wound of a patient with hepatobiliary pancreas by using a camera through an image collection module; extracting, sharpening and enhancing the acquired RGB image of the postoperative wound of the hepatobiliary pancreas patient by using an image conversion program and a Laplace detection operator through an image enhancement module;
s102, processing the image after the enhancement processing by using an image analysis program and an image analysis network model through an image analysis module to obtain an image analysis result;
s103, cleaning the skin around the postoperative wound of the patient with hepatobiliary pancreas by using alcohol or iodophor through a cleaning module according to an image analysis result;
s104, the central control module is used for coordinating and controlling the normal operation of each module of the postoperative wound hemostasis system for the hepatobiliary pancreatic patient by using the central processor; carrying out disinfection treatment on postoperative wounds of the hepatobiliary pancreas patient by using a wound disinfectant through a disinfection module;
s105, applying the hemostatic plaster at the wound position through the hemostatic plaster laying module, and performing hemostatic treatment on the postoperative wound of the patient with hepatobiliary pancreas by using the hemostatic plaster;
s106, detecting the wound part with the hemostatic patch laid thereon by using a blood flow detection program through a blood flow detection module, and detecting whether blood still flows out; if the bleeding is detected to flow out, the hemostatic plaster at the wound position is replaced through the hemostatic plaster replacement module;
and S107, updating and displaying the acquired RGB image information of the postoperative wound of the patient with hepatobiliary pancreas, the image enhancement processing result and the real-time data of the blood flow detection result of the image analysis result by using the display through the updating and displaying module, and supplying the updated and displayed data to medical staff.
The invention is further described with reference to specific examples.
Example 1
Fig. 1 shows a method for stopping bleeding of a postoperative wound of a hepatobiliary pancreatic patient according to an embodiment of the present invention, and fig. 3 shows a preferred embodiment of the method for extracting, sharpening and enhancing an RGB image of an acquired postoperative wound of a hepatobiliary pancreatic patient by using an image transformation program through an image enhancement module according to an embodiment of the present invention, including:
s201, acquiring an acquired RGB image of a postoperative wound of a patient with hepatobiliary pancreas, converting the RGB image into a YUV image, and acquiring a Y-channel image of the YUV image;
s202, extracting edge images of the Y-channel images by using an improved Laplace detection operator through an image conversion program to obtain edge images;
s203, carrying out edge sharpening on the edge image to obtain an image edge sharpening image; enhancing the edge information of the image edge sharpening image by an improved image enhancement method;
s204, converting the Y-channel image of the enhanced image edge image into an RGB image, and outputting the RGB image and the image edge sharpening and enhancing processing image.
In step S201 provided in the embodiment of the present invention, the formula for converting the RGB image into the YUV image is:
Figure BDA0003053662430000101
in step S202 provided in the embodiment of the present invention, the extracting an edge image from the Y-channel image by using an improved Laplace detection operator to obtain an edge image includes:
1) multiplying gradient of all directions of a Laplace detection operator by n;
2) and multiplying the Laplace detection operator multiplied by n by k in the horizontal and vertical directions.
In step S203 provided in the embodiment of the present invention, the edge sharpening the edge image to obtain an image edge sharpening image includes: and carrying out edge sharpening on the edge image by adopting a function expression according to the value of the Y-channel data, wherein the function expression is as follows:
Figure BDA0003053662430000102
wherein x is Y channel data, m is amplification factor, x1Is the edge and noise threshold, x2Is a strong edge threshold.
As shown in fig. 4, in step S203, the enhancing the edge information of the image edge sharpening map by the improved image enhancement method according to the embodiment of the present invention includes:
s301, acquiring a Y-channel image brightness value;
s302, acquiring the brightness value of the enhanced Y-channel image by using preset parameters through the brightness value of the Y-channel image and the image edge sharpening image;
and S303, according to the brightness value of the enhanced Y-channel image, performing brightness reduction processing on the brightness value exceeding the preset maximum brightness value through a preset parameter, and performing brightness enhancement processing on the brightness value lower than the preset minimum brightness value.
In the method for extracting, sharpening and enhancing the acquired RGB image of the postoperative wound of the hepatobiliary pancreas patient by using the Laplace detection operator through the image enhancement module by using the image conversion program, provided by the embodiment of the invention, a peak signal-to-noise ratio, definition, contrast and brightness are used as measurement indexes of image quality, and the calculation formulas of the peak signal-to-noise ratio and the definition are as follows:
Figure BDA0003053662430000111
Figure BDA0003053662430000112
where PSNR represents the peak signal-to-noise ratio, sharpness represents the sharpness, MAXIThe maximum value of the image pixel point color is MSE (mean square error) which is a loss function, YiThe brightness value of the Y-channel image edge information is extracted by using a Laplacian gradient function.
Example 2
Fig. 1 shows a method for hemostasis of a postoperative wound of a hepatobiliary pancreatic patient according to an embodiment of the present invention, and as a preferred embodiment, fig. 5 shows a method for processing an enhanced image by an image analysis module and an image analysis network model by using an image analysis program, so as to obtain an image analysis result, which includes:
s401, acquiring an RGB image of the postoperative wound of the hepatobiliary pancreas patient after the enhancement treatment;
s402, processing the enhanced image based on an image analysis network model to obtain an image analysis result of the enhanced image;
s403, acquiring a manual revision result of the image analysis result, and obtaining a degree of interest graph related to the manual revision result according to the manual revision result;
s404, based on a first neural network model, performing reinforcement learning on the enhanced image according to the attention degree graph to obtain feature information of the enhanced image after artificial revision and enhancement;
s405, based on a second neural network model, fusing the image analysis result and the artificially revised and enhanced feature information to obtain an artificially revised image analysis result.
In step S403 provided by the embodiment of the present invention, obtaining a degree of interest map related to the manual revision result according to the manual revision result includes:
if the number of the manual revision results is one, outputting the manual revision results as a degree of attention graph;
and if the number of the manual revision results is multiple, acquiring each manual revision result, and fusing the multiple revision results according to a preset rule to obtain a fused attention degree graph.
In step S405 provided in the embodiment of the present invention, the fusing the image analysis result and the artificially revised and enhanced feature information based on the second neural network model to obtain an artificially revised image analysis result, including:
1) cascading the image analysis result and the manually revised and enhanced feature information;
2) and inputting the image analysis result after the cascade connection and the characteristic information after the artificial revision enhancement into a second neural network model for fusion to obtain an image analysis result after the artificial revision.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the 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.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.

Claims (10)

1. A postoperative wound hemostasis system for a hepatobiliary pancreas patient, comprising:
the image acquisition module is connected with the central control module and is used for acquiring RGB image information of the postoperative wound of the hepatobiliary pancreas patient through the camera;
the image enhancement module is connected with the central control module and used for extracting, sharpening and enhancing the acquired RGB image of the postoperative wound of the hepatobiliary pancreatic patient by utilizing a Laplace detection operator through an image conversion program, and the image enhancement module comprises:
(1) acquiring an acquired RGB image of a postoperative wound of a patient with hepatobiliary pancreas, converting the RGB image into a YUV image, and acquiring a Y-channel image of the YUV image; wherein, the formula for converting the RGB image into YUV image is as follows:
Figure FDA0003053662420000011
(2) performing edge image extraction on the Y-channel image by using an improved Laplace detection operator through an image conversion program to obtain an edge image;
(3) carrying out edge sharpening on the edge image to obtain an image edge sharpening image; enhancing the edge information of the image edge sharpening image by an improved image enhancement method; wherein, the edge sharpening the edge image to obtain an image edge sharpening image includes: and carrying out edge sharpening on the edge image by adopting a function expression according to the value of the Y-channel data, wherein the function expression is as follows:
Figure FDA0003053662420000012
wherein x is Y channel data, m is amplification factor, x1Is the edge and noise threshold, x2Is a strong edge threshold;
(4) converting the Y-channel image of the enhanced image edge image into an RGB image, and outputting the RGB image and an image edge sharpening and enhancing processing image;
the image analysis module is connected with the central control module and used for processing the enhanced image by using the image analysis network model through an image analysis program to obtain an image analysis result, and the image analysis module comprises:
(1) acquiring an RGB image of the postoperative wound of the hepatobiliary pancreas patient after the enhancement treatment;
(2) processing the enhanced image based on an image analysis network model to obtain an image analysis result of the enhanced image;
(3) acquiring a manual revision result of the image analysis result;
(4) obtaining a degree of attention graph related to the manual revision result according to the manual revision result;
(5) based on a first neural network model, performing reinforcement learning on the enhanced image according to the attention degree graph to obtain feature information of the enhanced image after artificial revision and enhancement;
(6) fusing the image analysis result and the feature information after the artificial revision and enhancement based on a second neural network model to obtain an image analysis result after the artificial revision;
the cleaning module is connected with the central control module and used for cleaning the skin around the postoperative wound of the patient with hepatobiliary pancreas through alcohol or iodophor according to the image analysis result;
the central control module is connected with the image acquisition module, the updating display module, the image enhancement module, the image analysis module, the cleaning module, the disinfection module, the hemostatic patch laying module, the blood flow detection module and the hemostatic patch replacing module and is used for coordinating and controlling the normal operation of each module of the postoperative wound hemostatic system for the hepatobiliary pancreatic patient through the central processing unit;
the disinfection module is connected with the central control module and is used for disinfecting postoperative wounds of the hepatobiliary pancreas patients through wound disinfectants;
the hemostatic plaster application module is connected with the central control module and is used for applying the hemostatic plaster to the wound position and performing hemostatic treatment on the postoperative wound of the patient with hepatobiliary pancreas;
the blood flow detection module is connected with the central control module and used for detecting the wound part on which the hemostatic plaster is laid through a blood flow detection program and detecting whether blood still flows out;
the hemostatic plaster replacing module is connected with the central control module, and is used for replacing the hemostatic plaster at the wound position if the bleeding is detected;
and the updating display module is connected with the central control module and used for updating and displaying the acquired RGB image information of the postoperative wound of the hepatobiliary pancreas patient, the image enhancement processing result and the real-time data of the blood flow detection result of the image analysis result through a display for medical staff to use.
2. The system of claim 1, wherein in the image enhancement module, the edge image extraction of the Y-channel image by the modified Laplace detection operator to obtain an edge image comprises:
1) multiplying gradient of all directions of a Laplace detection operator by n;
2) and multiplying the Laplace detection operator multiplied by n by k in the horizontal and vertical directions.
3. The system as claimed in claim 1, wherein the image enhancement module is used for enhancing the edge information of the image edge sharpening map by an improved image enhancement method, and the method comprises:
(1) acquiring a Y-channel image brightness value;
(2) acquiring the brightness value of the enhanced Y-channel image by using preset parameters through the brightness value of the Y-channel image and the image edge sharpening image;
(3) and according to the brightness value of the enhanced Y-channel image, reducing the brightness of the brightness value exceeding a preset maximum brightness value through a preset parameter, and improving the brightness of the brightness value lower than a preset minimum brightness value.
4. The system as claimed in claim 1, wherein the image enhancement module uses peak signal-to-noise ratio, sharpness, contrast and brightness as the metrics of image quality, and the peak signal-to-noise ratio and sharpness are calculated as follows:
Figure FDA0003053662420000031
Figure FDA0003053662420000032
where PSNR represents the peak signal-to-noise ratio, sharpness represents the sharpness, MAXIThe maximum value of the image pixel point color is MSE (mean square error) which is a loss function, YiThe brightness value of the Y-channel image edge information is extracted by using a Laplacian gradient function.
5. The postoperative wound hemostasis system for patients with hepatobiliary pancreas as claimed in claim 1, wherein in the image analysis module, the fusing the image analysis result and the artificially revised enhanced feature information based on the second neural network model to obtain an artificially revised image analysis result comprises:
1) cascading the image analysis result and the manually revised and enhanced feature information;
2) and inputting the image analysis result after the cascade connection and the characteristic information after the artificial revision enhancement into a second neural network model for fusion to obtain an image analysis result after the artificial revision.
6. The system for hemostasis after surgery of a patient with hepatobiliary pancreas as claimed in claim 1, wherein in the image analysis module, the obtaining of the attention map related to the manual revision result according to the manual revision result comprises:
if the number of the manual revision results is one, outputting the manual revision results as a degree of attention graph;
and if the number of the manual revision results is multiple, acquiring each manual revision result, and fusing the multiple revision results according to a preset rule to obtain a fused attention degree graph.
7. The system of claim 1, wherein the blood flow detection module comprises:
the image acquisition unit is used for acquiring CT images of postoperative wound bleeding of a plurality of patients with hepatobiliary pancreas;
the model construction unit is used for constructing a postoperative wound bleeding detection model of the hepatobiliary pancreatic patient according to the acquired CT image based on a 3D segmentation network;
the model training unit is used for training the wound bleeding detection model through the hepatobiliary pancreatic patient postoperative wound bleeding CT image;
and the blood flow detection unit is used for predicting the bleeding probability of each voxel point of the input CT image of the wound to be detected through the trained wound bleeding detection model and realizing the detection, positioning and volume measurement of the postoperative wound bleeding of the hepatobiliary pancreas patient according to the prediction result.
8. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the system of any one of claims 1-7 for post-operative wound hemostasis for hepatobiliary pancreatic patients when executed on an electronic device.
9. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the system as claimed in any one of claims 1 to 7 for post-operative wound hemostasis in hepatobiliary pancreatic patients.
10. An information data processing terminal, characterized in that, the information data processing terminal is used for realizing the hemostasis system for postoperative wounds of patients with hepatobiliary pancreas as claimed in any one of claims 1 to 7.
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