An image processor with remote diagnosis and treatment capabilities

Abstract

This utility model discloses an image processor with remote diagnosis and treatment capabilities, relating to the field of medical device technology. Specifically, it is an image processor with remote diagnosis and treatment capabilities, comprising a housing and an image display screen. The housing internally houses a hardware platform based on RK3588+FPGA, an independent GPU unit, a quantum noise reduction processing module, an adaptive transmission control module, and a remote consultation platform module. This image processor with remote diagnosis and treatment capabilities not only improves image quality but also supports telemedicine, better assisting doctors in diagnosis and treatment. Employing a quantum noise reduction processing module, it uses a quantum noise reduction algorithm to reduce radiation dose by 80% while maximizing the preservation of high-definition image details. This reduces the radiation exposure risk for patients and medical staff while avoiding increased image noise and loss of detail caused by low radiation, ensuring that images meet diagnostic-grade quality standards and providing a reliable basis for accurate diagnosis.

Description

Technical Field

[0001] This utility model relates to the field of medical device technology, specifically to an image processor with remote diagnosis and treatment function. Background Technology

[0002] With the increasing maturity of technology and artificial intelligence, the requirements for the intelligence of medical devices are also getting higher and higher. At present, the image processors that come with endoscopes have relatively simple functions, mostly limited to monitoring a certain observation surface or capturing images and recording video, optimizing and setting the quality of received images, and do not support real-time sharing of surgical field images and cross-regional expert collaborative operation. Moreover, the uneven distribution of medical resources in my country has led to an increasing demand for telemedicine.

[0003] Most current image processors only possess basic image processing capabilities, such as monitoring and observing surfaces, capturing still images, recording video, and performing simple image quality optimization. They cannot achieve real-time sharing of surgical field images, making it difficult to meet the needs of cross-regional expert collaboration. This results in primary care physicians being unable to obtain timely real-time guidance from senior experts when encountering complex cases. Furthermore, the uneven distribution of medical resources in my country, particularly in remote areas where resources are scarce, often forces patients to travel long distances to obtain quality medical services. Existing equipment lacks targeted remote diagnosis and treatment technology support, such as adaptive network transmission mechanisms and professional consultation platforms. It cannot stably achieve high-definition image remote transmission and multi-terminal collaborative consultations, failing to meet the practical application needs of telemedicine. Some devices, in pursuit of image clarity, rely on high radiation doses for data acquisition, increasing health risks for patients and medical staff; conversely, reducing radiation doses leads to increased image noise and loss of detail, affecting diagnostic accuracy. This invention provides an image processor with remote diagnosis and treatment capabilities that solves these problems. Utility Model Content

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides an image processor with remote diagnosis and treatment capabilities, thus solving the problems mentioned in the background section.

[0005] (II) Technical Solution To achieve the above objectives, this utility model is implemented through the following technical solution: an image processor with remote diagnosis and treatment function, including a shell and an image display screen. The shell is equipped with a hardware platform based on RK3588+FPGA, an independent GPU unit, a quantum noise reduction processing module, an adaptive transmission control module, and a remote consultation platform module. The back of the shell has heat dissipation holes. One side of the shell is provided with a power button and an HDMI interface, and the other side of the shell is provided with a USB interface, a power interface, and a network interface.

[0006] Optionally, the image display is electrically connected to the hardware platform inside the housing, which has a handle on the top and is made of aluminum alloy.

[0007] Optionally, the image display screen uses a high-resolution liquid crystal display panel, with the power switch button positioned below the HDMI interface, the USB interface positioned above the power interface, and the power interface positioned above the network port interface.

[0008] Optionally, there may be a number of heat dissipation holes, which may be arranged in a rectangular array.

[0009] Optionally, a cooling fan is installed on the inner wall of the casing, with the position of the cooling fan corresponding to the position of the heat dissipation holes, and the cooling fan is electrically connected to the hardware platform inside the casing.

[0010] Optionally, the image display screen is embedded inside the housing, with the front of the image display screen located outside the housing and the rear of the image display screen located inside the housing. The length and width of the image display screen are both smaller than the length and width of the housing.

[0011] This utility model provides an image processor with remote diagnosis and treatment function, which has the following beneficial effects: 1. This image processor with remote diagnosis and treatment capabilities integrates a remote consultation platform module, supporting real-time remote communication between doctors, 4K ultra-high-definition video consultations, and image annotation (such as marking lesion areas). It is also compatible with multiple terminals, including PCs and mobile devices, overcoming the shortcomings of existing endoscopic image processors that "do not support real-time sharing of surgical field images and cross-regional expert collaboration." When encountering complex cases, primary healthcare institutions can quickly connect with higher-level experts for real-time guidance, avoiding long-distance travel for patients due to limited medical resources, making it particularly suitable for medical scenarios in remote areas.

[0012] 2. This image processor with remote diagnosis and treatment function enables the remote consultation platform to accurately recommend suitable doctors and treatment plans based on the uploaded patient's condition (such as disease type and severity) and medical history, combined with the doctor's professional field (such as ultrasound and CT diagnosis) and treatment experience, thereby improving the efficiency of matching medical resources and reducing the time cost for patients to seek medical treatment blindly.

[0013] 3. This image processor with remote diagnosis and treatment function adopts a quantum noise reduction processing module. Through the quantum noise reduction algorithm, it can retain high-definition image details (such as fine blood vessels and tissue texture) to the greatest extent while reducing radiation dose by 80%. This reduces the radiation exposure risk for patients and medical staff, and avoids the problems of increased image noise and loss of details caused by low radiation. It ensures that the image meets the diagnostic quality standard and provides a reliable basis for accurate diagnosis.

[0014] 4. This image processor with remote diagnosis and treatment function is based on the RK3588+FPGA hardware platform. It supports real-time encoding, decoding and compression transmission of 8K medical images, and is also compatible with remote access to multimodal image data such as ultrasound and CT. It solves the problem that existing equipment can only process a single type of image and has low processing efficiency, meets the image processing needs of diverse medical examination scenarios, and improves the efficiency of doctors' image reading and diagnosis. Attached Figure Description

[0015] Figure 1 This is a three-dimensional structural diagram of the present invention; Figure 2 This is a structural schematic diagram of the present invention in frontal cross-section; Figure 3 This is a structural schematic diagram of the right-side cross-section of this utility model; Figure 4 This is a structural schematic diagram of the left side cross-section of this utility model; Figure 5 This is a front view structural diagram of the present invention; Figure 6 This is a structural schematic diagram of the present invention viewed from below; Figure 7 This is a top view of the structure of this utility model.

[0016] In the diagram: 1. Outer shell; 2. Image display screen; 3. Hardware platform; 4. Independent GPU unit; 5. Quantum noise reduction processing module; 6. Adaptive transmission control module; 7. Remote consultation platform module; 8. Heat dissipation vents; 9. Power switch; 10. HDMI interface; 11. USB interface; 12. Power interface; 13. Ethernet interface; 14. Handle. Detailed Implementation

[0017] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments.

[0018] Example 1 Please see Figures 1 to 7 The present invention provides a technical solution: an image processor with remote diagnosis and treatment function, including a housing 1 and an image display screen 2. The housing 1 is equipped with a hardware platform 3 based on RK3588+FPGA, an independent GPU unit 4, a quantum noise reduction processing module 5, an adaptive transmission control module 6, and a remote consultation platform module 7. The rear of the housing 1 is provided with heat dissipation holes 8. One side of the housing 1 is provided with a power switch button 9 and an HDMI interface 10. The other side of the housing 1 is provided with a USB interface 11, a power interface 12, and a network interface 13.

[0019] Specifically, the image display screen 2 is used to display processed medical images, and the image processor is easily portable via the handle 14.

[0020] Please see Figures 1 to 2 The image display screen 2 is electrically connected to the hardware platform 3 inside the housing 1. The top of the housing 1 is provided with a handle 14. The housing 1 is made of aluminum alloy.

[0021] Specifically, the HDMI interface 10 is used to connect to an external display device, which can simultaneously display the processed images on a larger screen to facilitate multi-person consultations. The USB interface 11 is used for data transmission and connection of external devices, such as connecting a mobile hard drive to store image data, connecting a mouse and keyboard for operation and control, etc. The network interface 13 is used to access the network to realize remote transmission of image data and access to the remote consultation platform. The power interface 12 is used to connect to an external power source to provide a stable power supply for the device.

[0022] Please see Figures 1 to 5 The image display screen 2 uses a high-resolution liquid crystal display panel. The position of the switch button 9 is lower than the position of the HDMI interface 10, the position of the USB interface 11 is higher than the position of the power interface 12, and the position of the power interface 12 is higher than the position of the network interface 13.

[0023] Specifically, the design of the heat dissipation holes 8 facilitates air circulation and heat dissipation.

[0024] Please see Figure 2 There are several heat dissipation holes 8, and these holes 8 are arranged in a rectangular array.

[0025] Specifically, the combination of the cooling fan and the heat dissipation hole 8 facilitates the dissipation of heat generated by the electrical components inside the casing 1, thus improving heat dissipation.

[0026] Please refer to Figure 2. A cooling fan is installed on the inner wall of the outer casing 1. The position of the cooling fan corresponds to the position of the heat dissipation hole 8. The cooling fan is electrically connected to the hardware platform 3 inside the outer casing 1.

[0027] Specifically, the outer casing 1 serves to support the image display screen 2, facilitating its use.

[0028] Please see Figures 1 to 5 The image display screen 2 is embedded inside the housing 1. The front of the image display screen 2 is located outside the housing 1, and the back of the image display screen 2 is located inside the housing 1. The length and width of the image display screen 2 are both smaller than the length and width of the housing 1.

[0029] In use, first connect an external power source via the power interface 12 on the outer casing 1 to power the device. Then connect to the hospital's internal network or the Internet via the network interface 13 to ensure network connectivity. During endoscopic examinations, the image processor receives image data transmitted from the endoscope through the corresponding interface. The image data is first transmitted to the hardware platform 3 based on RK3588+FPGA, which performs real-time encoding and decoding processing. For 8K resolution images, the hardware platform 3 can efficiently perform compression processing. It also adapts to multimodal image data transmitted from other examination equipment such as ultrasound and CT, achieving unified reception and processing of multi-source images. During image processing, the independent GPU unit 4 runs a deep learning inference model to perform real-time identification and analysis of the received medical images, such as automatically identifying suspected lesion areas in CT images and transmitting the identification results to the image display screen 2 after marking them. The quantum noise reduction module 5 simultaneously performs noise reduction processing on the images, maintaining high-definition details while reducing radiation dose by 80%. The processed images are displayed on the high-resolution image display screen 2, allowing doctors to clearly observe the image content. When remote consultation is required... When the remote consultation platform module 7 is activated, doctors can initiate consultation requests through this module, inviting experts from other locations to participate in the consultation. During the consultation, the platform supports 4K resolution video conferencing, allowing doctors to share processed medical images and mark key areas on the images using the platform's annotation function. Simultaneously, it can transmit patient medical history, examination reports, and other documents, facilitating a comprehensive understanding of the patient's condition by experts. The adaptive transmission control module 6 monitors network conditions in real time. If network bandwidth is insufficient, it automatically reduces the image transmission frame rate and resolution to ensure smooth video and image transmission, avoiding stuttering. During device operation, the internal cooling fan of the casing 1 dissipates heat through the ventilation holes 8, ensuring stable operation of the device over extended periods. Furthermore, doctors can simultaneously display images on an external large screen via the HDMI interface 10, facilitating collaborative viewing and discussion among multiple users. A portable hard drive can be connected via the USB interface 11 to store image data, or a mouse and keyboard can be connected for operation and control. The network interface 13 is used to access the network, enabling remote transmission of image data and access to the remote consultation platform. The power interface 12 is used to connect to an external power source, providing a stable power supply for the device.

[0030] The above description is only a preferred embodiment of the present utility model, but the protection scope of the present utility model is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present utility model, based on the technical solution and the inventive concept of the present utility model, should be included within the protection scope of the present utility model.

Claims

1. An image processor with remote diagnosis and treatment function, comprising a housing and an image display screen, characterized in that: The interior of the casing houses a hardware platform based on RK3588+FPGA, an independent GPU unit, a quantum noise reduction processing module, an adaptive transmission control module, and a remote consultation platform module. The back of the casing has ventilation holes, and one side of the casing has a power button and an HDMI interface. The other side of the casing has a USB interface, a power interface, and a network interface.

2. The image processor with remote diagnosis and treatment function according to claim 1, characterized in that: The image display screen is electrically connected to the hardware platform inside the housing, which has a handle on the top and is made of aluminum alloy.

3. The image processor with remote diagnosis and treatment function according to claim 1, characterized in that: The image display screen uses a high-resolution LCD panel. The power button is located below the HDMI interface, the USB interface is located above the power interface, and the power interface is located above the network interface.

4. An image processor with remote diagnosis and treatment function according to claim 1, characterized in that: There are several heat dissipation holes, which are arranged in a rectangular array.

5. An image processor with remote diagnosis and treatment function according to claim 1, characterized in that: A cooling fan is installed on the inner wall of the casing, and the position of the cooling fan corresponds to the position of the heat dissipation holes. The cooling fan is electrically connected to the hardware platform inside the casing.

6. An image processor with remote diagnosis and treatment function according to claim 1, characterized in that: The image display screen is embedded inside the housing, with the front of the image display screen located outside the housing and the rear of the image display screen located inside the housing. The length and width of the image display screen are both smaller than the length and width of the housing.

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