Medical image tuning device

Abstract

The invention relates to a medical image tuning device, and belongs to the technical field of image processing. The medical image tuning device comprises a lighting element, a camera, an optical hard mirror, a photosensitive element, a camera cable, a camera host, a signal connecting line and a rear-end device, by the adoption of the design, low-delay and high-pixel transmission is met, image information is completely reserved, a camera host can better complete image processing, and the final image quality is guaranteed; the problem of image information loss caused by image processing at the camera module end is reduced, and the problems of module temperature rise, component damage, influence on imaging quality and the like caused by image processing at the camera module end are solved.

Description

Technical Field

[0001] The invention relates to the technical field of image processing, and in particular to a medical endoscope image tuning device. Background Art

[0002] An endoscope generally has an elongated flexible insertion portion inserted into a subject, and illuminates the distal end of the insertion portion with illumination light supplied from a light source device, and an imaging portion at the distal end of the insertion portion receives reflected light of the illumination light to capture in-vivo images.

[0003] Published patents: Invention name, GPU-based endoscope real-time image processing method and system, publication number: CN117593437A, application publication date 2024.02.23. The system includes: a data acquisition module, used to acquire endoscope real-time images, and endoscope related parameter information, the relevant parameter information at least includes endoscope position, moving direction, moving speed, jitter offset value and specification parameters, the endoscope real-time image includes multiple narrow-band images; an image processing module, used to fuse the multiple narrow-band images to obtain first image information, and based on the first image information, construct a corresponding three-dimensional scene; a correction module, used to determine the target parameter evaluation value based on the relevant parameter information, and correct the three-dimensional scene according to the target parameter evaluation value to obtain the second image information; an information push module, used to render the second image information using the GPU in response to detecting that the second image information meets the preset standard, and push the rendered second image information to the display terminal.

[0004] The unknown aspects of the above-mentioned patented technology are: the image processing is not done simultaneously, and the first image and the second image are obtained in sequence; the system can only be used for endoscope image systems; Published patents: Invention name: A 3D fluorescent endoscope, imaging method, device and debugging method, publication number: CN117398043A, application publication date: 2024.01.16. A 3D fluorescent endoscope, imaging method, device and debugging method are disclosed, belonging to the field of endoscopes. The endoscope includes an endoscope sleeve, an objective lens and a photosensitive element arranged in the endoscope sleeve, and a spectroscopic device is arranged between the objective lens and the photosensitive element. The spectroscopic device divides the light beam passing through the objective lens into a left visible light beam, a left fluorescent beam, a right visible light beam and a right fluorescent beam projected to the photosensitive element. A left focusing mirror that makes the optical path of the left visible light beam and the left fluorescent beam consistent and a right focusing mirror that makes the optical path of the right visible light beam and the right fluorescent beam consistent are arranged between the spectroscopic device and the photosensitive element. The endoscope can image four light beams on the photosensitive element at the same time, and there is no time difference between the left and right images, and there is no time difference between the visible light image and the fluorescent image. The entire endoscope uses only one photosensitive element, which can achieve consistency in time and focal plane in a smaller space, which is conducive to the miniaturization and high-sensitivity display of 3D fluorescent endoscopes. The unknown part of the above-mentioned patented technology is that there are a total of 4 photosensitive elements, and the image obtained on the photosensitive element after two reflections is a mirror image of the real object, and the direction is consistent with the light directly passing through the dichroic mirror 21, which is convenient for image processing operations during imaging; the system can only be used for 3D imaging endoscope systems; it does not involve image adjustment, and only processes image signals.

[0005] It is very necessary to research and develop medical endoscope image tuning devices to improve image quality and accuracy. Summary of the invention

[0006] In order to overcome the shortcomings of existing medical endoscopic imaging technology, a medical imaging tuning device is invented.

[0007] A medical image tuning device, comprising a lighting element, a camera front end, a camera host, and a back end device; The camera front end includes: an optical hard lens, a camera, an optical bayonet, a filter, a photosensitive element, a gyroscope, a keypad, a camera mainboard, a serial board, and a camera cable; The gyroscope is connected to the keypad; the keypad is connected to the camera mainboard; The filter is arranged at the front end of the photosensitive element; the gyroscope is built into the camera keypad; The filter filters out interfering colors and transmits the filtered image to the photosensitive element; The photosensitive element transmits image data to the input interface of the camera host through the camera cable, and the gyroscope also transmits status information to the camera host, and the camera host integrates the gyroscope information and processes the image; The camera host includes: a host mainboard, a video output board, a core board, a hard disk, a deserialization board, a touch screen, a host power supply, a fan, a video expansion board, a network port, a USB port, an RS232 port, a signal output port, a display, a signal connection line, and a signal input interface; The camera cable is a GMSL3 data cable. The photosensitive element is used to collect images acquired by the camera; The host mainboard includes: a core board; the core board includes a fusion algorithm module, and the fusion algorithm module includes an acquisition module, a DPC module, a BLC module, a WB module, a Demosaic module, a Gamma correct module, a CCM module, a Contrast / Brightness Enhancement module, a NR module, an EdgeEnhancement module, an output module, an AEStat module, and an AE Control module; the host mainboard is respectively connected to a touch screen, a host power supply, a fan, a video expansion board, a signal output interface or other host interfaces; The output module includes a video output board, a video expansion board, and a signal output terminal; the signal output terminal includes a signal output port, a network port, a USB port, and an RS232 port; The host motherboard is connected to the touch screen, the video expansion board, and the signal output terminal respectively; the back-end device includes: a display, or a remote receiving device; The hardware connection relationship of the medical image tuning device is as follows: the lens of the optical hard mirror collects the image information of the target area, the optical hard mirror is connected with the optical bayonet adapter, the collected image information is optically transmitted to the filter, the photosensitive element is connected with the camera main board; the gyroscope is connected with the camera main board; the keypad is connected with the camera main board; the camera main board is connected with the serial board; the serial board is connected with the deserialization board through the camera cable, the deserialization board is connected with the core board, and the core board is connected with the hard disk and the video output board at the same time; the video output board is connected with the video expansion board, the video expansion board is connected with the signal output port, and the signal input interface is connected with the display; The image data transmission relationship of the medical image tuning device is as follows: the camera converts the collected optical signal into an electrical signal through a photosensitive element and transmits it to the camera mainboard; the gyroscope collects the status information of the photosensitive element and outputs it to the camera mainboard; the serial board converts the data of the camera mainboard into serial data and transmits it to the deserialization board at high speed through the camera cable; the deserialization board converts the serial data into parallel data and inputs it to the camera host; the camera host integrates the gyroscope information to process the image; the fusion algorithm module set in the camera host core board reads the number and pixels of the connected cameras, automatically matches the built-in image processing algorithm module, and uses the exposure algorithm module to The denoising algorithm module and the contrast enhancement algorithm module perform preprocessing to obtain a single or multiple images as state 1; extract the image features of state 1, automatically select the single algorithm module, or the multiple image fusion algorithm module, and obtain state 2 through the fusion algorithm module; distribute the state 2 image and identify it as a single image, and output the spectrally filtered image and the normal image respectively after processing, the core board is connected to the image ISP processing module, the ISP processing module is connected to the host motherboard, the host motherboard outputs the image data to the signal output port, the signal output port outputs to the display, the display displays the optimized image, or transmits it to the remote device through the signal output port via a wired or wireless network.

[0008] The camera collects images from single-channel, dual-channel, 4-channel, or 6-channel cameras; a single-channel camera refers to a camera sensor chip; a dual-channel camera refers to a dual-channel camera sensor chip; a 4-channel camera refers to a 4-channel camera sensor chip; a 6-channel camera refers to a 6-channel sensor chip; the camera is divided into a left camera and a right camera.

[0009] The filter is used to filter stray light and only allow 400-650nm light to enter the photosensitive element.

[0010] The photosensitive element is any one of CMOS, CCD, or infrared sensor chip.

[0011] The filtered images include any raw medical image data from medical endoscopes, ultrasound, X-ray machines, CT\ET.

[0012] The camera is capable of reading 1, 2, 4 or 6 channels of raw medical image data with a resolution of 4k and a frame rate of 60 frames.

[0013] The steps for medical image tuning are: Step 1: Place the filter in front of the photosensitive element to filter stray light and avoid interference with the image; Step 2: In order to ensure the integrity of image information and high pixel, after the photosensitive element collects the image, the parallel data will be processed serially through the serial board to achieve high-speed transmission; Step 3: Use GMSL3 transmission mode to obtain a transmission rate of 6Gbps. After sending the image to the deserialization board, convert the serial signal into a parallel signal; and transmit the parallel signal to the core board; In this process, the gyroscope transmits the position information of the photosensitive element to the core board in real time to correct the image; Step 4: The core board fusion algorithm module automatically identifies the number and pixels of the connected cameras, automatically matches the built-in image processing algorithm module, and performs preprocessing, color restoration, image fusion and other processing through the exposure algorithm module, denoising algorithm module, and contrast enhancement algorithm module to obtain a single or multiple images as state 1; Step 5: Extract the image features of state 1, automatically select a single-image algorithm module, or a multi-image fusion algorithm module, and obtain state 2 through the fusion algorithm module; Step 6: Distribute the state 2 image and identify it as a single image or multiple images, and output the spectrally filtered image and the normal image respectively after processing; Step 7: The image ISP processing module continues to process the single image or multiple images; Step 8: The core board transmits the processed image signal to the signal output port, outputs the processed video signal to the display, and displays the camera image in real time; Step 9: Based on the instructions sent by the serial port control, the video signal processed by the core board can be stored on the hard disk or transmitted through the network port.

[0014] Definitions and explanations of terms in this patent: Optical hard lens: referred to as lens, one of the lenses used in endoscopes is called optical hard lens. Optical hard lens is a type of endoscope, which is characterized by the optical components made of cylindrical glass, the outer tube is a metal structure, and the outer tube is not bendable. It is mainly composed of three parts: mechanical system, optical system and light guide system.

[0015] Gyroscope: bmi088, clear position information of photosensitive original.

[0016] GMSL3: High-speed data transmission reaches 6Gbps.

[0017] MIPI stands for Mobile Industry Processor Interface, which was developed by the MIPI Alliance. It is a high-performance, low-power, low-cost serial communication interface. Its purpose is to standardize the internal interfaces of devices such as cameras, display interfaces, RF / baseband interfaces, etc., thereby reducing the complexity of device design and increasing design flexibility.

[0018] Filter: used to filter stray light and ensure that natural light of 450-650nm enters the photosensitive element.

[0019] The serial board uses the chip: MAX96789.

[0020] The chip used in the deserialization board is MAX96752.

[0021] 4K medical endoscope: An imaging system in which the sensor collects image signals and outputs them to a 4K display in real time for medical staff to watch during surgery.

[0022] The image ISP (Image Signal Processor) processing module is a dedicated processor or hardware module that performs real-time processing and optimization of image or video signals.

[0023] Sensor: used to collect images, with pixels reaching 4K.

[0024] Photosensitive elements are a type of sensor: Photosensitive elements are mainly used in endoscopes. Photosensitive elements (such as CCD or CMOS chips) are actually a special sensor that is specifically used to convert light signals into electrical signals.

[0025] Sensor input: The sensor collects images and inputs them into the ISP pipeline.

[0026] DPC (Dead Pixel Correction): Image bad pixel detection: Detect the bad pixels in the sensor and correct them. Bad pixels are white dots in the output image in a completely dark environment and black dots in the output image in a bright environment.

[0027] BLC (Black Level Compensation): Black level compensation: From the characteristics of the sensor, the lowest output voltage of the sensor is the black level voltage. By calibrating the black level, the influence of the black level on the image can be eliminated.

[0028] WB (White Balance): White balance: Corrects the color deviation of the sensor at different color temperatures, calculates the RGB three-channel gain value through white cardboard, and completes the white balance correction.

[0029] Demosaic: The image collected by a single COMS contains only one color in RGB, and the other missing colors of the image are restored through interpolation processing.

[0030] Gamma Correction: Also known as gamma correction or gamma nonlinearization, it is a nonlinear operation or inverse operation technology used to adjust image or video signals. It is used to encode and decode linear brightness or RGB values ​​to match the nonlinear characteristics of the display device. In addition, gamma correction can expand or compress the dynamic range of the image.

[0031] CCM (Color Correction Matrix): Color correction matrix: Due to the non-ideal spectral response of the sensor and the different spectral distribution of the ambient light source, there will be a large color difference between the sensor image and the actual scene. By calculating the color correction matrix, the image color can be adjusted to make the image color closer to the actual color.

[0032] Contrast / Brightness Enhancement: By enhancing the image contrast and brightness, the brightness distribution of images under non-uniform lighting is made more uniform, and the image transparency is stronger.

[0033] NR (Noise Reduction): Noise reduction: Reduce image noise through low-pass filters such as Gaussian and median.

[0034] Edge Enhancement: Edge contour enhancement: Use edge detection technology to extract image edges, enhance image edges, and improve image sharpness.

[0035] Output: Convert RGB image format to YUV420 output.

[0036] AE Stat: Automatic exposure information statistics: statistics of image brightness, variance, histogram and other information to evaluate whether the current image is underexposed or overexposed.

[0037] AE Control: Evaluates the current exposure based on exposure statistics, calculates the exposure parameters for the next frame, and transmits the exposure parameters for the next frame back to the sensor to complete automatic exposure control.

[0038] ‌Contrast Enhancement‌ refers to adjusting the contrast of an image to make its details clearer and enhance the visual effect of the image. Contrast refers to the difference between the brightest and darkest parts of an image. By increasing this difference, the details of the image can be made more prominent.

[0039] ‌Brightness Enhancement‌ adjusts the brightness level of an image to make it brighter or dimmer. Brightness refers to the average light intensity of an image. By adjusting the brightness, you can change the brightness of the image, thereby affecting the visual effect.

[0040] CCD: Charge Coupled Device, is a semiconductor device used for image acquisition.

[0041] CMOS: is the abbreviation of Complementary Metal Oxide Semiconductor; it is an integration technology that uses standard processes to manufacture transistors, resistors, capacitors, diodes and other components on the same silicon chip. CMOS chips have the advantages of low power consumption, high integration, and strong anti-interference ability. They are widely used in microprocessors, digital signal processors, memory, image sensors and other fields.

[0042] GMSL3: is the third generation of Gigabit Multimedia Serial Link technology; High data transmission rate: GMSL3 supports data transmission rates up to 12Gbps, which can meet the bandwidth requirements of high-definition cameras and other high-speed data transmission devices; Low latency: achieves low-latency video data transmission to ensure the real-time performance of the system.

[0043] Core board: Customized NVIDIA AGX Orin 64G is used as the core board to process the image information received by the camera.

[0044] Table 1: Core board technical parameters The remarkable advancement and creative technical features of the present invention are: The technical route adopted is: the filter filters out interfering colors and only allows 400-650nm light to pass through and transmit to the photosensitive element; the photosensitive element transmits image data to the input interface of the camera host through the GMSL3 data line, and the gyroscope also transmits the status information to the back end at high speed. The host integrates the gyroscope information, processes the image, and fuses it to obtain an ideal medical image; other patents do not specify the use of filters, which may cause the image quality to be affected by stray light; Low-latency endoscope camera module: collects high-pixel images, reaching 3840*2160@60Hz, and transmits the images to the back end without processing; it mainly overcomes the problem of image information loss caused by image processing on the camera module side, and overcomes the problem that image processing on the camera module side may also cause the module temperature to rise, damage components, and affect imaging quality. Technical purpose achieved: The main purpose is to meet the requirements of low-latency, high-pixel transmission, and the image information is fully preserved. The host with powerful back-end performance can better complete the image processing, thereby ensuring the final image quality. Other patents perform image processing at the front end of the camera, which may lead to the loss of image information. This patent uses a back-end processing method to save the image information; The technical effect achieved: The tuned image data is transmitted to the display screen for real-time display and playback for medical staff to refer to. The tuned image data can also be processed in the GPU chip processor, and the processed results can be superimposed on the tuned image data and transmitted to the display screen for real-time display; the tuned image data can also be copied to an external storage device, such as a USB flash drive for backup or network transmission to a remote end. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the structure of the present invention.

[0046] Figure 2 yes Figure 1 A partial enlarged view of middle A.

[0047] Figure 3 yes Figure 1 A partial enlarged view of B.

[0048] Figure 4 It is a schematic diagram of the structure of the optical hard lens to the host in the present invention.

[0049] Figure 5 It is a schematic diagram of the module structure in the present invention.

[0050] Figure 6 It is a schematic diagram of a module flow chart in the present invention.

[0051] Figure 7 It is a processing flow chart from image state 1 to image state 2 in the present invention.

[0052] In the figure: 4K camera system 1, optical hard lens 1-1, camera 1-2, optical mount 1-2-1, filter 1-2-2, photosensitive element 1-2-3, gyroscope 1-2-4, keypad 1-2-5, camera main board 1-2-6, serial board 1-2-7, camera cable 1-3, camera host 1-4, host main board 1-4-1, video output board 1-4-1-1, core board 1-4-1-2, hard disk 1-4-1-3, deserialization board 1-4-1-4, touch screen 1-4-2, host power supply 1-4-3, video expansion board 1-4-4, network port 1-4-5, USB port 1-4-6, RS232 port 1-4-7, signal output port 1-4-8, display 1-5, signal connection line 1-5-1, signal input interface 1-5-2. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Embodiment 1: A medical image tuning device, comprising a lighting element, a camera front end, a camera host, and a back end device; The camera front end includes: an optical hard lens 1-1, a camera 1-2, an optical mount 1-2-1, a filter 1-2-2, a photosensitive element 1-2-3, a gyroscope 1-2-4, a keypad 1-2-5, a camera mainboard 1-2-6, a serial board 1-2-7, and a camera cable 1-3; The gyroscope 1-2-4 is connected to the keypad 1-2-5; the keypad 1-2-5 is connected to the camera mainboard 1-2-6; The filter 1-2-2 is arranged at the front end of the photosensitive element 1-2-3; the gyroscope 1-2-4 is built into the keypad 1-2-6; The filter 1-2-2 filters out interfering colors and transmits the filtered image to the photosensitive element 1-2-3; The photosensitive element 1-2-3 transmits image data to the input interface of the camera host 1-4 through the camera cable 1-3, and the gyroscope 1-2-4 also transmits status information to the camera host 1-4, and the camera host 1-4 integrates the information of the gyroscope 1-2-4 to process the image; The camera host 1-4 includes: a host mainboard 1-4-1, a video output board 1-4-1-1, a core board 1-4-1-2, a hard disk 1-4-1-3, a deserialization board 1-4-1-4, a touch screen 1-4-2, a host power supply 1-4-3, a fan, a video expansion board 1-4-4, a network port 1-4-5, a USB port 1-4-6, an RS232 port 1-4-7, a signal output port 1-4-8, a display 1-5, a signal connection line 1-5-1, and a signal input interface 1-5-2; The camera cables 1-3 are GMSL3 data cables; The photosensitive element 1-2-3 is used to collect the image acquired by the camera 1-2; The host motherboard 1-4-1 includes: a core board 1-4-1-2; the core board 1-4-1-2 includes a fusion algorithm module, and the fusion algorithm module includes an acquisition module, a DPC module, a BLC module, a WB module, a Demosaic module, a Gammacorrect module, a CCM module, a Contrast / Brightness Enhancement module, a NR module, an EdgeEnhancement module, an output module, an AE Stat module, and an AE Control module; the host motherboard 1-4-1 is respectively connected to a touch screen 1-4-2, a host power supply 1-4-3, a fan, a video expansion board 1-4-4, a signal output interface 1-5-2 or other host interfaces; The output module includes a video output board 1-4-1-1, a video expansion board 1-4-4, and a signal output terminal; the signal output terminal includes a signal output port 1-4-8, a network port 1-4-5, a USB port 1-4-6, and an RS232 port 1-4-7; The back-end device includes: displays 1-5, or remote receiving devices; The hardware connection relationship of the medical image tuning device is as follows: the lens of the optical hard mirror 1 / 1 collects image information of the target area, the optical hard mirror 1 / 1 is adapted to be connected with the optical bayonet 1-2-1, and the collected image information is optically transmitted to the filter 1-2-2, the photosensitive element 1-2-3 is connected with the camera main board 1-2-6; the gyroscope 1-2-4 is connected with the camera main board 1-2-6; the keypad 1-2-5 is connected with the camera main board 1-2-6; the camera main board 1-2-6 is connected with the serial board 1-2-7 is connected; the serial board 1-2-7 is connected to the deserialization board 1-2-7 through the camera cable 1-3, the deserialization board 1-2-7 is connected to the core board 1-4-1-2, the core board 1-4-1-2 is connected to the hard disk 1-4-1-3 and the video output board 1-4-1-1 at the same time; the video output board 1-4-1-1 is connected to the video expansion board 1-4-4, the video expansion board 1-4-4 is connected to the back-end device wired or wireless network, and the display 1-5 in the back-end device displays the adjusted medical image; The image data transmission relationship of the medical image tuning device is as follows: the camera 1-2 converts the collected optical signal into an electrical signal through the photosensitive element 1-2-3, and transmits it to the camera main board 1-2-6; the gyroscope 1-2-4 collects the status information of the photosensitive element 1-2-3 and outputs it to the camera main board 1-2-6; the serial board 1-2-7 converts the data of the camera main board into serial data, and transmits it to the deserialization board 1-2-7 at high speed through the camera cable 1-3; the deserialization board 1-2-7 converts the serial data into parallel data, and inputs it into the camera host 1-4; The camera converts the collected image information into digital signals, and the serial board 1-2-7 transmits the parallel signals to the serializer; the gyroscope 1-2-4 collects the status information of the photosensitive element 1-2-3 and outputs it to the serial signal input port of the deserializer board 1-2-7; the serializer compiles the parallel signal into a serial signal and transmits it to the deserializer board 1-2-7 at high speed; at the same time, the gyroscope 1-2-4 also transmits the status information to the input interface of the camera host 1-4, and the camera cable 1-3 transmits the image data to the input interface of the camera host 1-4; the camera host 1-4 integrates the information of the gyroscope 1-2-4 and processes the image; the fusion algorithm module set in the core board 1-4-1-2 of the camera host 1-4 reads the number and pixels of the connected camera 1-2, automatically matches the built-in image processing algorithm module, and pre-processes it through the exposure algorithm module, the noise removal algorithm module, and the contrast enhancement algorithm module Processing to obtain a single or multiple images as state 1; extracting image features of state 1, automatically selecting a single algorithm module, or a multiple image fusion algorithm module, and obtaining state 2 through the fusion algorithm module; allocating the state 2 image and identifying it as a single image, and outputting a spectrally filtered image and a normal image respectively after processing, the camera host core board 1-4-1-2 is connected to the image ISP processing module, the ISP processing module is connected to the host mainboard 1-4-1, the host mainboard 1-4-1 is connected to the video output board 1-4-1-1, the video output board 1-4-1-1 is connected to the video expansion board 1-4-4, the video expansion board 1-4-4 is connected to the host signal output port 1-4-8, the host signal output port 1-4-8 is connected to the display 1-5, or transmitted to the remote device through the signal output terminal interface wired or wireless network, the display 1-5 in the back-end device displays the tuned image.

[0055] The camera 1-2 collects images from a single, dual, quad or 6-channel camera; a single-channel camera 1-2 refers to a camera sensor chip; a dual-channel camera refers to a dual-channel camera sensor chip; a quad-channel camera refers to a quad-channel camera sensor chip; a 6-channel camera refers to a 6-channel sensor chip; the camera 1-2 is divided into a left camera and a right camera.

[0056] The filter 1-2-2 is used to filter stray light and only allow 400-650nm light to enter the photosensitive element 1-2-3.

[0057] The photosensitive element 1-2-3 is any one of CMOS, CCD, or infrared sensor chip.

[0058] The filtered image is raw medical endoscope image data.

[0059] The camera 1-2 is adapted to be connected to the endoscope of the digestive tract.

[0060] The image information is the original data of medical endoscope medical images.

[0061] The camera 1-2 is used to read raw medical image data with a resolution of 4k and a frame rate of 60 frames.

[0062] Embodiment 2: The image information is raw data of ultrasonic medical images.

[0063] The camera 1-2 is used to read 2 channels of raw medical image data with a resolution of 4k and a frame rate of 60 frames.

[0064] The filtered image is raw ultrasound image data.

[0065] The rest is the same as above.

[0066] Embodiment three: The image information is the original medical image data of a medical X-ray machine.

[0067] The cameras 1-2 are used to read 4 channels of raw medical image data with a resolution of 4k and a frame rate of 60 frames.

[0068] The filtered image is the original data of X-ray machine images.

[0069] The rest is the same as above.

[0070] Embodiment 4: The image information is the original data of medical CT\ET medical images.

[0071] The camera 1-2 is used to read 6 channels of raw medical image data with a resolution of 4k and a frame rate of 60 frames.

[0072] The filtered image is the original CT\ET image data.

[0073] The rest is the same as above.

[0074] The specific implementation modes of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above implementation modes, and various changes can be made within the knowledge scope of ordinary technicians in this field without departing from the purpose of the present invention.

Claims

1. A medical image tuning device, comprising an illumination element, characterized in that: It also includes the camera front end, Like host, backend devices; The camera front end includes a camera, and the camera includes: an optical hard lens, an optical bayonet, a filter, a photosensitive element, a gyroscope, a keypad, a camera mainboard, a serial board, and a camera cable; The gyroscope is connected to the keypad; the keypad is connected to the camera mainboard; The filter is arranged at the front end of the photosensitive element; the gyroscope is built into the camera keypad; The filter filters out interfering colors and transmits the filtered image to the photosensitive element; The photosensitive element transmits image data to the input interface of the camera host through the camera cable, and the gyroscope also transmits status information to the camera host, and the camera host integrates the gyroscope information and processes the image; The camera host includes: a host mainboard, a video output board, a core board, a hard disk, a deserialization board, a touch screen, a host power supply, a fan, a video expansion board, a network port, a USB port, an RS232 port, a signal output port, a display, a signal connection line, and a signal input interface; The camera cable is a GMSL3 data cable. The photosensitive element is used to collect images acquired by the camera; The core board includes a fusion algorithm module, and the fusion algorithm module includes an acquisition module, a DPC module, a BLC module, a WB module, a Demosaic module, a Gamma correct module, a CCM module, a Contrast / Brightness Enhancement module, a NR module, an Edge Enhancement module, an output module, an AE Stat module, and an AE Control module; the host mainboard is respectively connected to the touch screen, the host power supply, the fan, the video expansion board, the signal output port or other host interfaces; The output module includes a video output board, a video expansion board, and a signal output terminal; The host motherboard is respectively connected to the touch screen, the video expansion board, and the signal output end; the signal output end includes a signal output port, a network port, a USB port, and an RS232 port; The back-end device includes: a display, or a remote receiving device; The hardware connection relationship of the medical image tuning device is as follows: the lens of the optical hard mirror collects image information of the target area, the optical hard mirror is connected with the optical bayonet adapter, the collected image information is optically transmitted to the filter, the photosensitive element is connected with the camera main board; the gyroscope is connected with the key board; the key board is connected with the camera main board; the camera main board is connected with the serial board; the serial board is connected with the deserialization board through the camera cable, the deserialization board is connected with the core board, and the core board is connected with the hard disk and the video output board at the same time; the video output board is connected with the video expansion board, the video expansion board is connected with the signal output port, and the signal input interface is connected with the display; The image data transmission relationship of the medical image tuning device is as follows: the camera converts the collected optical signal into an electrical signal through a photosensitive element and transmits it to the camera mainboard; the gyroscope collects the status information of the photosensitive element and outputs it to the camera mainboard; the serial board converts the data of the camera mainboard into serial data and transmits it to the deserialization board at high speed through the camera cable; the deserialization board converts the serial data into parallel data and inputs it to the camera host; the camera host core board fusion algorithm module reads the number and pixels of the connected cameras; matches the built-in image processing algorithm module, and enhances the contrast through the exposure algorithm module and the noise removal algorithm module. The algorithm module performs preprocessing to obtain a single or multiple images as state 1; extracts the image features of state 1, automatically selects a single algorithm module, or a multiple image fusion algorithm module, and obtains state 2 through the fusion algorithm module; distributes the state 2 image and identifies it as a single image, and outputs a spectrally filtered image and a normal image respectively after processing. The core board is connected to the image ISP processing module, and the ISP processing module is connected to the host motherboard. The host motherboard outputs image data to the signal output port, and the signal output port outputs to the display. The display displays the optimized image, or transmits it to a remote device through a wired or wireless network through the signal output port.

2. The medical image tuning device according to claim 1, characterized in that: The camera collects single-channel, dual-channel, 4-channel, or 6-channel camera images; a single-channel camera refers to a camera sensor chip; Dual-channel camera refers to dual-channel camera sensor chip; 4-way camera refers to 4-way camera sensor chip; 6-way camera refers to 6-way sensor chip; The camera is divided into a left camera and a right camera.

3. The medical image tuning device according to claim 1, characterized in that: The filter is used to filter stray light and only allow 400-650nm light to enter the photosensitive element.

4. The medical image tuning device according to claim 1, characterized in that: The photosensitive element is any one of CMOS, CCD, or infrared sensor chip.

5. The medical image tuning device according to claim 1, characterized in that: The filtered images include any raw medical image data from medical endoscopes, ultrasound, X-ray machines, CT\ET.

6. The medical image tuning device according to claim 1, characterized in that: The camera is capable of reading 1, 2, 4 or 6 channels of raw medical image data with a resolution of 4k and a frame rate of 60 frames.

Images