Thyroid surgery image sharpening auxiliary system and working method thereof

By designing a thyroid surgery image clarification auxiliary system that automatically recognizes and regulates negative pressure equipment, the problem of image fogging in small incision thyroid surgery is solved, real-time removal of fog is achieved, image clarity is ensured, and the accuracy of the surgery is improved. efficiency.

CN119488370APending Publication Date: 2025-02-21TIANJIN MEDICAL UNIVERSITY GENERAL HOSPITAL
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Patent Information

Application Number
CN202411630310.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-15
Publication Date
2025-02-21

AI Technical Summary

Technical Problem

During small incision thyroid surgery, bleeding and fluid cause images to fog, and fine tissue sticking to the lens, causing image distortion or blockage, affecting the doctor's observation of the surgical site and the accurate removal of the lesions.

Method used

Design a thyroid surgery image clarification auxiliary system, through the combination of acquisition module, processing module, suction module and display module, automatically identify and analyze the atomization situation in the image, calculate and adjust the suction level of the negative pressure device, and clear the impact image. The fog and fine powder of clarity.

Benefits of technology

It realizes that during the small incision thyroid surgery, the fog is automatically removed in real time, ensuring image clarity, avoid interrupting the surgery for environmental removal, saving time, and improving the accuracy and efficiency of the surgery.

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Abstract

The invention provides a thyroid surgery image sharpening auxiliary system and a working method thereof, and belongs to the field of automatic air exhaust equipment, and the working method comprises the steps: 1, collecting image information data in a visual field, and transmitting the image information data to a processing module; 2, the processing module receives the collected image and optimizes the collected image; human tissues are automatically identified; step 3, carrying out definition analysis on the assembly edge obtained through identification; 4, according to a definition analysis result, judging and obtaining a required automatic negative pressure opening level; step 5, sending the signal of the negative pressure opening level to negative pressure equipment, outputting corresponding negative pressure by the negative pressure equipment, and sucking out fog or fine powder influencing image acquisition in front of a lens; and 7, repeating the steps 2-5. The system initiates supporting, smoke discharging, light source and image acquisition system miniaturized integrated equipment, so that the system can be applied to the small incision operation process and is matched with the image acquisition system in real time to automatically remove fog.
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Description

Technical Field

[0001] The present application belongs to the technical field of data processing, and specifically relates to a thyroid surgery image clarity auxiliary system and a working method thereof. Background Art

[0002] Small incision thyroid surgery has a small scar area, the incision is not easy to detect, the patient is less injured, bleeding is less, and recovery is faster. In recent years, the demand for its use in thyroid surgery has been increasing. However, unlike traditional surgery, small incision surgery cannot use traditional shadowless lighting and video. It needs to use a separation bracket to separate the subcutaneous tissue to create space for the operation, and uses a cold light source, lens and TV magnifying glass system, and an image data transmission and display system for doctors to observe internal tissues.

[0003] However, during clinical thyroid surgery, there will be bleeding and fluid on the wound surface, sometimes fogging, and even some blood foam and other fine tissues moving and sticking to the lens, causing image distortion or even blocking image acquisition, affecting the doctor's observation of the surgical site, affecting the accuracy of the lesion removal site, and especially affecting the protection of tissues and nerves around the lesion. In the prior art, once the image is not clear, the doctor needs to stop the operation and switch to a handheld suction device for processing. The operation can only be continued after the image becomes clear. An operation may be forced to be interrupted many times, which will prolong the overall time and have adverse effects on patients. Summary of the invention

[0004] The present application provides a thyroid surgery image clarity auxiliary system, which can automatically remove fog that affects image clarity and can automatically adjust the suction force according to the image situation.

[0005] A working method of a thyroid surgery image clarity auxiliary system, comprising the following steps:

[0006] Step 1: collect image information data within the field of view and transmit it to the processing module;

[0007] Step 2: The processing module receives the collected image, optimizes it and outputs the optimized image for real-time display; at the same time, the processing module automatically recognizes the collected image and automatically recognizes and determines human tissue in the collected image;

[0008] Step 3: analyzing the human tissue obtained by identification and judgment, and performing clarity analysis on the human tissue, so as to detect the degree of fogging in the field of view;

[0009] Step 4: Calculate the required negative pressure opening level according to the atomization degree in the previous step;

[0010] Step 5: The processing module sends a signal of the negative pressure opening level to the negative pressure device, and the negative pressure device outputs the corresponding negative pressure, thereby sucking out the mist or fine powder that affects the image clarity;

[0011] Step 6 repeats steps 2 to 5. As the clarity changes, the processing module automatically adjusts the opening level of the negative pressure device, and the auxiliary image acquisition system can always output clear images.

[0012] Preferably, the optimization of the processing module in step 2 includes: color correction, contrast enhancement, white balance, light metering mode, and contour emphasis.

[0013] Preferably, the automatic identification is specifically to perform dot matrix processing on the graphics within the field of view, extract dot matrix feature values, compare with the system's built-in database, and mark the identified tissue.

[0014] Preferably, the automatic human tissue recognition function compares the regional features of the captured image with the image in the database. The human tissues that can be recognized include: parathyroid glands, recurrent laryngeal nerves, lymph nodes, common carotid arteries and internal jugular veins. Single recognition or multiple simultaneous recognitions can be selected as needed.

[0015] Preferably, the clarity analysis results in step 5 are divided into multiple levels, corresponding to multiple suction levels of the negative pressure device.

[0016] A thyroid surgery image clarity auxiliary system, comprising:

[0017] The acquisition module is arranged inside the camera and is used to extract the image data collected by the camera and transmit the image data to the processing module;

[0018] A processing module, in which an image analyzer is installed, analyzes the image for display, identifies human tissue in the image, evaluates the clarity, and outputs a control signal to control the adsorption force of the negative pressure device;

[0019] A storage module, wherein a human tissue image database is stored in the storage module;

[0020] A suction module, which is installed in the negative pressure device and is used to suck out droplets that may affect image acquisition through the optical fiber channel and the small holes of the sleeve plate. The suction module can adjust the power of the negative pressure device;

[0021] The display module includes an optical amplifier. The display module is connected to the processing module via a data line and is used to amplify the image and display the collected image in real time.

[0022] A hardware structure of a thyroid surgery image clarity auxiliary system, comprising:

[0023] The support bent plate is a folded plate structure with multiple bends. One end of the support bent plate can be connected to an external bracket for stable support. A flue is arranged inside the other end of the support bent plate. A small hole is arranged on the support bent plate at the front of the flue. The rear of the flue is connected to the negative pressure device through a conduit.

[0024] A camera, which is fixed on the supporting curved plate and is used to collect images of the visual field corresponding to the supporting curved plate, and the camera is connected to the processor via an optical fiber;

[0025] A cold light source is fixed on the supporting curved plate, and the cold light source continuously illuminates to assist the camera in collecting image information;

[0026] The processor is communicatively connected to the camera, the display and the controller of the negative pressure device. The processor is pre-installed with a visualization processing system, which can process the image data collected by the camera, generate images from the data, and display them through the display module.

[0027] Preferably, there are two flues, which are respectively connected to two negative pressure devices; there are multiple small holes, which are evenly spaced on both sides of the front of the flue.

[0028] An electronic device comprises a memory, wherein the processors are communicatively connected to each other, the memory stores computer instructions, and the processor executes the working method of any one of the above-mentioned thyroid surgery image clarity auxiliary systems by executing the computer instructions.

[0029] A computer storage medium, wherein the computer readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute any of the above-mentioned working methods of the thyroid surgery image clarity auxiliary system.

[0030] In summary, the technical solutions provided in the embodiments of the present application have the following technical effects or advantages:

[0031] This system is the first miniaturized integrated device for support, smoke exhaust, light source and image acquisition system, so it can be used in small incision surgery, cooperating with the image acquisition system in real time to clear fog, ensure the clarity of the output image, and assist doctors to clearly observe tissue and nerve images without interrupting the operation for environmental cleaning, saving time. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a flow chart of the working method of this system.

[0033] Figure 2 This is an image collected under fogging conditions using the prior art.

[0034] Figure 3This is a schematic diagram of the automatic recognition interface of this system.

[0035] Figure 4 It is a structural schematic diagram of the adsorption bracket.

[0036] Figure 5 It is a schematic diagram of the partial structure of another adsorption bracket.

[0037] Figure 6 It is a schematic diagram of an integrated cabinet of external processing modules and negative pressure equipment. DETAILED DESCRIPTION

[0038] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0039] A method for collecting and processing images of small incision thyroid surgery, characterized by the steps of:

[0040] Step 1: collect image information data within the field of view and transmit it to the processing module;

[0041] Step 2: The processing module optimizes the received captured image and displays the optimized image; the optimization performed by the processing module includes: color correction, contrast enhancement, white balance, metering mode, and contour emphasis;

[0042] While optimizing the output, the processing module automatically identifies the captured images, identifies the optimized images, and automatically identifies human tissues within the field of view; the human tissues that can be identified include: parathyroid glands, recurrent laryngeal nerves, lymph nodes, common carotid arteries, and internal jugular veins, etc. One or more can be selected as needed, or multiple items can be identified simultaneously to assist in rapid positioning.

[0043] The specific process of automatic identification is to perform dot matrix processing on the graphics within the field of view, extract the dot matrix feature values, compare them with the system's built-in database, and mark the identified tissues.

[0044] Step 3: analyzing the tissue image obtained by identification, especially the clarity comparison between the edge of the tissue and the surrounding color, to determine the degree of atomization in the field of view;

[0045] Specifically, the color difference between the tissue identified in the tissue image and the peripheral color is calculated, the color difference data is compared with the contrast data corresponding to the tissue image stored in the database, and the compared values ​​are divided into three to five levels from low to high. The lowest level represents the lowest degree of atomization and the negative pressure device does not need to be turned on. When the degree of atomization increases, the level signal is sent to the negative pressure device.

[0046] Step 4: According to the degree of atomization, determine the required automatic negative pressure opening level. The automatic opening suction gear of the existing negative pressure equipment is divided into four levels from low to high. In actual application, the atomization level can be set according to the actual situation to more accurately adjust the suction level of the negative pressure equipment. The number of levels is unlimited;

[0047] Step 5: After the negative pressure device receives the signal of the negative pressure opening level, the negative pressure device outputs the corresponding negative pressure to suck out the mist or fine powder in front of the lens that affects image acquisition;

[0048] Step 6 repeats steps 2 to 5, and automatically adjusts the negative pressure device as the clarity changes to always output a clear image.

[0049] The hardware structure of a small incision thyroid surgery image acquisition system is shown in the attached Figure 3 , 4 As shown, including:

[0050] The support bent plate is a folded plate structure with multiple bends. One end of the support bent plate can be connected to an external bracket for stable support. A flue is arranged inside the other end of the support bent plate. A small hole is arranged on the support bent plate at the front of the flue. The rear of the flue is connected to a negative pressure exhaust device through a conduit. The negative pressure exhaust device of this embodiment adopts a vacuum generator.

[0051] The supporting bent plate includes a hook and a sleeve plate. The main body of the hook is a multi-bend folded plate structure formed by continuously bending a long strip of plate. A hook structure is provided at one end of the hook for fixing the hook when in use. The other end of the hook is replaceably connected with a sleeve plate. A flue is provided in the sleeve plate. A small hole is provided at the head of the sleeve plate, which is connected to the flue. An interface pipe extending to the outside of the sleeve plate is provided at the tail of the sleeve plate, and the interface pipe is used to connect the conduit.

[0052] There are two flues in parallel. The rear of the two flues is provided with an interface pipe, which is tilted upward to leave more operating space below. The two interface pipes are combined to connect an external negative pressure device, or are connected to two negative pressure devices respectively. The two negative pressure devices adjust the suction gear respectively, and different suctions are selected according to the actual operation conditions. See the attached Figure 4 As shown, the rear of the flue is connected with an air quick plug, which is convenient for quick plugging and unplugging of the negative pressure air pipe. When there are multiple small holes, the small holes are evenly spaced on both sides of the front of the flue, and the multiple small holes are connected to the flue.

[0053] The camera is fixed on the supporting curved plate, and the camera is connected to the input end of the processing module through an optical fiber; see the attached Figure 4 As shown, an optical fiber quick plug is provided at the rear of the supporting bent plate for quick connection.

[0054] The cold light source is fixed on the supporting curved plate. The cold light source continuously illuminates and assists the camera in collecting image information. The cold light source is powered by optical fiber to reduce the volume of the light source module itself. Figure 4 As shown, an optical fiber quick plug is arranged at the rear of the supporting bent plate, and a far-infrared connector can also be arranged to connect the far-infrared emitting device.

[0055] The processing module is pre-installed with a visualization processing system, which can process the data collected by the camera, generate images from the data, and display them through the display module; the processing module is connected to the negative pressure device through a data cable, and the processing module is used to perform color correction, contrast enhancement, white balance, metering mode, and contour emphasis on the image.

[0056] The processing module includes an acquisition module, a processing module, a suction module and a display module.

[0057] The acquisition module is arranged inside the camera, and is used to extract the image data acquired by the camera, and transmit the image data to the processing module;

[0058] An image analysis system is installed in the processing module. The analyzed image is used for display and the clarity of the analyzed image is evaluated to control the adsorption force of the negative pressure device.

[0059] The suction module is installed in the negative pressure device and is used to suck out droplets that may affect image acquisition through the channel and the small holes of the sleeve plate. The suction module can adjust the suction force of the negative pressure device according to the instructions of the processing module;

[0060] The display module includes an optical amplifier, and the display module is connected to the processing module via a data line, and is used to amplify the image and display the collected image in real time.

[0061] All optical fibers are installed in the serpentine tube and fixed to the supporting bent plate structure.

[0062] The working process of this device:

[0063] The thyroid curved plate with light source and optical fiber is inserted into the surgical site through the surgical incision, and the curved plate is lifted to the height required for the operation through the lifting device, so that the lesion site can be clearly seen. The LED light source is turned on to irradiate the surgical site, and the vacuum adsorption device is turned on to absorb the blood and other liquids in the lesion site. The optical fiber on the curved plate and the optical amplifier make the surgical lesion site clearly appear on the monitor, assisting the doctor to remove the lesion site. Far infrared rays can disinfect bacteria at the trauma site during and after the operation and before the wound is sutured.

[0064] The present application also provides an electronic device, which may include: at least one processor and at least one memory.

[0065] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory, and calling data stored in the memory.

[0066] Optionally, the processor can be implemented in at least one hardware form of digital signal processing (DSP), field programmable gate array (FPGA), and programmable logic array (PLA). The processor can integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display; and the modem is used to process wireless communications. It is understandable that the above-mentioned modem may not be integrated into the processor, but may be implemented separately through a chip.

[0067] Among them, the memory may include a random access memory (Random Access Memory, RAM) or a read-only memory (Read-Only Memory). Optionally, the memory includes a non-transitory computer-readable storage medium. The memory can be used to store instructions, programs, codes, code sets or instruction sets. The memory may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory may also be optionally at least one storage device located away from the aforementioned processor. The memory as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for a small incision thyroid surgery image acquisition system.

[0068] The present application also provides a computer-readable storage medium, which stores instructions. When executed by one or more processors, the electronic device executes one or more of the methods described in the above embodiments.

[0069] In addition, each functional unit in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0070] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0071] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A working method of a thyroid surgery image clarity auxiliary system, characterized in that: The steps are: Step 1: collect image information data within the field of view and transmit it to the processing module; Step 2: The processing module receives the collected image, optimizes it and outputs the optimized image for real-time display; at the same time, the processing module automatically recognizes the collected image and automatically recognizes and determines human tissue in the collected image; Step 3: analyzing the human tissue obtained by identification and judgment, and performing clarity analysis on the human tissue, so as to detect the degree of fogging in the field of view; Step 4: Calculate the required negative pressure opening level according to the atomization degree in the previous step; Step 5: The processing module sends a signal of the negative pressure opening level to the negative pressure device, and the negative pressure device outputs the corresponding negative pressure, thereby sucking out the mist or fine powder that affects the image clarity; Step 6 repeats steps 2 to 5. As the clarity changes, the processing module automatically adjusts the opening level of the negative pressure device, and the auxiliary image acquisition system can always output clear images.

2. The working method of a thyroid surgery image clarity auxiliary system according to claim 1, characterized in that: The processing module optimization in step 2 includes: color correction, contrast enhancement, white balance, light metering mode, and contour emphasis.

3. The working method of a thyroid surgery image clarity auxiliary system according to claim 1, characterized in that: The automatic identification specifically includes performing dot matrix processing on the graphics within the field of view, extracting dot matrix feature values, comparing them with the system's built-in database, and marking the identified tissues.

4. The working method of the thyroid surgery image clarity auxiliary system according to claim 3, characterized in that: The automatic human tissue recognition function compares the regional features of the captured image with the image in the database. The human tissues that can be recognized include: parathyroid glands, recurrent laryngeal nerves, lymph nodes, common carotid arteries and internal jugular veins. Single identification or multiple simultaneous identifications can be selected as needed.

5. The working method of the thyroid surgery image clarity auxiliary system according to claim 1, characterized in that: The clarity analysis results described in step 5 are divided into multiple levels, corresponding to multiple suction levels of the negative pressure device.

6. A thyroid surgery image clarity auxiliary system, characterized in that: include: The acquisition module is arranged inside the camera and is used to extract the image data collected by the camera and transmit the image data to the processing module; A processing module, in which an image analyzer is installed, analyzes the image for display, identifies human tissue in the image, evaluates the clarity, and outputs a control signal to control the adsorption force of the negative pressure device; A storage module, wherein a human tissue image database is stored in the storage module; A suction module, which is installed in the negative pressure device and is used to suck out droplets that may affect image acquisition through the optical fiber channel and the small holes of the sleeve plate. The suction module can adjust the power of the negative pressure device; The display module includes an optical amplifier. The display module is connected to the processing module via a data line and is used to amplify the image and display the collected image in real time.

7. A hardware structure of a thyroid surgery image clarity auxiliary system, characterized in that: include: The support bent plate is a folded plate structure with multiple bends. One end of the support bent plate can be connected to an external bracket for stable support. A flue is arranged inside the other end of the support bent plate. A small hole is arranged on the support bent plate at the front of the flue. The rear of the flue is connected to the negative pressure device through a conduit. A camera, which is fixed on the supporting curved plate and is used to collect images of the visual field corresponding to the supporting curved plate, and the camera is connected to the processor via an optical fiber; A cold light source is fixed on the supporting curved plate, and the cold light source continuously illuminates to assist the camera in collecting image information; The processor is communicatively connected to the camera, the display and the controller of the negative pressure device. The processor is pre-installed with a visualization processing system, which can process the image data collected by the camera, generate images from the data, and display them through the display module.

8. The thyroid surgery image clarity auxiliary system according to claim 7, characterized in that: There are two flues, which are respectively connected to two negative pressure devices; there are multiple small holes, which are evenly spaced and arranged on both sides of the front of the flue.

9. An electronic device, characterized in that: The processors include a memory that is communicatively connected to each other, the memory stores computer instructions, and the processor executes the working method of the thyroid surgery image clarity auxiliary system as described in any one of claims 1 to 5 by executing the computer instructions.

10. A computer storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the working method of the thyroid surgery image clarity auxiliary system as described in any one of claims 1 to 5.

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