An image support system and method in a respiratory tract tumor interventional surgery process

Abstract

The application discloses a kind of image support system and method in respiratory tract tumor interventional operation process, it is related to respiratory tract tumor interventional operation image processing analysis technical field;Including image acquisition module, image processing module, image storage and management module, image display and visualization module and image analysis module;Image acquisition module is used to obtain original image data;Image processing module is used to adjust processing to image data;Image storage and management module is responsible for storing all image data;Image display and visualization module are used for image two-dimensional, three-dimensional, multi-view display;Image analysis module is used for automatically analyzing image, realizes quickly, accurate lesion diagnosis;The application can realize the collection, processing and analysis of data, can give doctor multiple ways image display, combined with computer-aided diagnosis technology, to help doctor more quickly, accurately diagnose lesion, and there is more proper and effective operation mode to data acquisition.

Description

Technical Field

[0001] This invention relates to the field of image processing and analysis technology for interventional surgery of respiratory and tracheal tumors, and particularly to an image support system and method for interventional surgery of respiratory and tracheal tumors. Background Technology

[0002] In interventional surgery for respiratory and tracheal tumors, image support systems play a crucial role. They not only help doctors accurately locate tumors but also monitor changes in real time during the procedure, ensuring the accuracy and safety of treatment. Image support technologies generally include image collection and processing, often utilizing image sensing, image recognition, image generation, image enhancement, image retrieval, and image detection techniques. Acquisition equipment typically includes ultrasound, CT, and MRI. Existing image support systems can achieve relatively complete image collection, processing, and analysis, but they also have certain limitations. Furthermore, image data acquisition, such as ultrasound acquisition, is heavily reliant on manual operation, which limits the workflow. Based on this, this invention proposes an image support system and method that can realize data acquisition, processing, and analysis, providing doctors with multiple ways to display images. Combined with computer-aided diagnostic technology, it helps doctors diagnose lesions more quickly and accurately, and offers a more appropriate and effective operation method for data acquisition. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention enables data acquisition, processing, and analysis, provides doctors with multiple ways to display images, and, combined with computer-aided diagnostic technology, helps doctors diagnose lesions more quickly and accurately. Furthermore, it offers a more appropriate and effective method for data acquisition.

[0004] The technical solution used in this invention is as follows: an image support system for interventional surgery of respiratory and tracheal tumors, comprising an image acquisition module, an image processing module, an image storage and management module, an image display and visualization module, and an image analysis module; the image acquisition module includes an ultrasound machine, a CT scanner, and an MRI scanner, used to acquire raw image data; the image processing module is used to adjust and process the image data to optimize the viewing effect; the image storage and management module is responsible for storing all image data, ensuring that the patient's imaging data can be preserved for a long time and is easy to access and share at any time; the image display and visualization module is used to display images in two dimensions, three dimensions, and multiple perspectives; the image analysis module is used to automatically analyze the images to achieve rapid and accurate lesion diagnosis.

[0005] Furthermore, the ultrasound machine generates images using high-frequency sound waves. The ultrasound machine includes a probe, an application component, and a cleaning component. The probe is coated with ultrasound gel by the application component to help transmit ultrasound waves and avoid the formation of an isolation layer between the probe and the skin. The cleaning component performs surface cleaning treatment on the probe.

[0006] Furthermore, the coating assembly includes a coating box, inside which a coating bonding part is fixedly installed. The coating bonding part has an arc-shaped surface with several holes. The arc-shaped surface has the same curvature as the outer surface of the probe, and there is a preset interval between the arc-shaped surface and the outer surface of the probe. Inside the coating box, a pusher cylinder is fixedly installed, and a pusher plate is fixedly installed on the telescopic rod of the pusher cylinder. Outside the coating box, a transmission box is installed for transmitting supplementary ultrasonic gel into the coating box. The transmission box is connected to the inside of the coating box through a transmission pipe.

[0007] Furthermore, the cleaning assembly includes a cleaning tank with a cover plate slidably mounted on the top. Mounting rods are fixedly mounted on both sides of the cover plate, with pins slidably engaged at the bottom ends of the mounting rods. Matching brackets are fixedly mounted on the bottom ends of both sides of the cleaning tank, engaging with the pins to secure the cover plate. A pressure plate is installed inside the cover plate, connected to it by a spring. The pressure plate is used to press the probe. An installation cylinder one is fixedly mounted inside the cleaning tank, containing a control cylinder. An installation cylinder two is fixedly mounted on the telescopic rod of the control cylinder, containing a cleaning motor. A cleaning brush is fixedly mounted on the output shaft of the cleaning motor, with an arc-shaped upper surface that conforms to the probe's outer surface. A collection tank and a transmission tank two are located outside the cleaning tank. The collection tank is connected to the bottom of the cleaning tank via a transmission pipe for collecting cleaning fluid. A nozzle is fixedly mounted on the cleaning tank for releasing cleaning fluid. The nozzle is connected to the transmission tank two via a transmission pipe for transmitting the cleaning fluid.

[0008] Furthermore, the CT scanner uses X-ray technology to acquire cross-sectional images of the human body and provides high-resolution images; the MRI scanner uses magnetic fields and radio frequency signals to act on hydrogen atoms in the body and receives the returned signals to generate high-resolution images.

[0009] Furthermore, the image processing module processes and enhances the acquired raw images to make them clearer and more recognizable, including noise reduction, contrast enhancement, image segmentation, reconstruction, and 3D modeling.

[0010] Furthermore, the image storage and management module includes a database management system and a data compression and storage system. The database management system stores all image data in a database so that it can be retrieved by information such as patient ID, examination type, and time. The data compression and storage system compresses image files to ensure image quality while facilitating network transmission and remote access.

[0011] Furthermore, the image display and visualization module includes multiple display modes, including two-dimensional display, three-dimensional reconstruction, and virtual endoscopy; two-dimensional display is used to display image cross-sections, including CT and ultrasound images; three-dimensional reconstruction uses multi-slice images to reconstruct three-dimensional structures; virtual endoscopy simulates endoscopic examination to facilitate understanding of lesion areas.

[0012] Furthermore, the image analysis module employs computer-aided diagnostic technology, using artificial intelligence and machine learning algorithms to automatically analyze images, thereby enabling rapid and accurate diagnosis of lesions.

[0013] A method for using an image support system during interventional surgery for tracheal tumors, comprising the following steps: S10: Use the image acquisition module to acquire raw image data, including image acquisition using ultrasound machine, CT scanner, and MRI scanner; S20: The image processing module processes and enhances the acquired image data, including noise reduction, contrast enhancement, image segmentation, reconstruction, and 3D modeling; and the image storage and management module stores and manages the image data. S30: The image display and visualization module displays the processed image data and uses the monitor to display it in two dimensions, three dimensions, and multiple perspectives to help doctors make diagnoses and analyses. S40: The image analysis module is used to automatically analyze images, complete lesion detection, quantitative analysis and automatic annotation.

[0014] The advantages of this invention compared with the prior art are: (1) In order to make the ultrasonic gel uniformly coated on the outer surface of the probe, the probe can be positioned on the coating box, and the transfer box can transfer and replenish the ultrasonic gel into the coating box; (2) The outer surface of the probe is the same as the arc surface of the coating and bonding part, and has a preset interval, so that the flow area of ​​the ultrasonic gel is restricted, and it can be uniformly attached to the outer surface of the probe. Compared with the manual direct hand-held application of ultrasonic gel, the amount of ultrasonic gel can be controlled; (3) When the probe is located inside the cleaning box, the installation is controlled by the electric cylinder. The second cylinder moves, and the cleaning motor drives the cleaning brush to rotate. The cleaning brush contacts the probe's outer surface to clean the probe's outer surface. The second transmission box transmits the cleaning fluid and releases it through the nozzle. The collection box is used to collect the used cleaning fluid. (4) The image display and visualization module is used to display image data, including two-dimensional display, three-dimensional reconstruction and virtual endoscopy. The two-dimensional display is used to display the image cross-section, including CT and ultrasound images. The three-dimensional reconstruction uses multi-layer slice images to reconstruct the three-dimensional structure. The virtual endoscopy simulates endoscopic examination to facilitate understanding of the lesion area. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the coating component and cleaning component of the present invention.

[0016] Figure 2 This is a schematic diagram of the coating component and cleaning component of the present invention from another angle.

[0017] Figure 3 This is a schematic diagram of the cleaning box structure of the present invention.

[0018] Figure 4 This is a partial structural diagram of the cleaning component of the present invention.

[0019] Figure 5 This is a schematic diagram of the internal structure of mounting cylinder one and mounting cylinder two of the present invention.

[0020] Figure 6 This is a schematic cross-sectional view of the coating box structure of the present invention.

[0021] Figure 7 This is a schematic diagram of the operation process of the image support system of the present invention.

[0022] Reference numerals: 1-Coating box; 2-Cleaning box; 3-Probe; 4-Transfer box one; 5-Collection box; 6-Transfer box two; 7-Sprayer head; 8-Cover plate; 9-Mounting rod; 10-Matching bracket; 11-Pin; 12-Pressure plate; 13-Spring; 14-Mounting cylinder one; 15-Mounting cylinder two; 16-Cleaning brush; 17-Cleaning motor; 18-Control cylinder; 20-Coating bonding part; 21-Pushing cylinder; 22-Push plate. Detailed Implementation

[0023] Example: Figure 7 As shown, an image support system for interventional surgery of respiratory and tracheal tumors is characterized by comprising an image acquisition module, an image processing module, an image storage and management module, an image display and visualization module, and an image analysis module. The image acquisition module includes an ultrasound machine, a CT scanner, and an MRI scanner for acquiring raw image data. The image processing module is used to adjust and process the image data to optimize the viewing effect. The image storage and management module is responsible for storing all image data, ensuring that the patient's imaging data can be preserved for a long time and is easy to access and share at any time. The image display and visualization module is used for two-dimensional, three-dimensional, and multi-view image display. The image analysis module is used for automatic analysis of images to achieve rapid and accurate lesion diagnosis.

[0024] like Figures 1 to 6 As shown, the ultrasound machine generates images using high-frequency sound waves. The ultrasound machine includes a probe 3, an application component, and a cleaning component. The probe 3 is coated with ultrasound gel by the application component to help transmit ultrasound waves and avoid the formation of an isolation layer between the probe 3 and the skin. The cleaning component performs surface cleaning treatment on the probe 3.

[0025] The coating assembly includes a coating box 1, inside which a coating bonding part 20 is fixedly installed. The coating bonding part 20 has an arc-shaped surface with several holes. The arc-shaped surface has the same curvature as the outer surface of the probe 3, and there is a preset interval between the arc-shaped surface and the outer surface of the probe 3. Inside the coating box 1, a pusher cylinder 21 is fixedly installed. A pusher plate 22 is fixedly installed on the telescopic rod of the pusher cylinder 21. A transmission box 4 is installed on the outside of the coating box 1 for transmitting supplementary ultrasonic gel into the coating box 1. The transmission box 4 is connected to the inside of the coating box 1 through a transmission pipe.

[0026] The cleaning assembly includes a cleaning box 2, a cover plate 8 slidably mounted on the top of the cleaning box 2, mounting rods 9 fixedly mounted on both sides of the cover plate 8, pins 11 slidably engaging at the bottom of the mounting rods 9, and mating brackets 10 fixedly mounted at the bottom of both sides of the cleaning box 2, which engage with the pins 11 to fix the cover plate 8; a pressure plate 12 is provided inside the cover plate 8, connected to the cover plate 8 by a spring 13, and the pressure plate 12 is used to press the probe 3; an installation cylinder 14 is fixedly mounted inside the cleaning box 2, and a control electric cylinder 18 is fixedly mounted inside the installation cylinder 14. An installation cylinder 15 is fixedly mounted on the telescopic rod of the electric cylinder 18. A cleaning motor 17 is fixedly mounted inside the installation cylinder 15. A cleaning brush 16 is fixedly mounted on the output shaft of the cleaning motor 17. The upper end face of the cleaning brush 16 is arc-shaped and can fit against the outer surface of the probe 3. A collection box 5 and a transmission box 6 are set on the outside of the cleaning box 2. The collection box 5 is connected to the bottom of the cleaning box 2 through a transmission pipe and is used to collect cleaning liquid. A nozzle 7 is fixedly mounted on the cleaning box 2 for releasing cleaning liquid. The nozzle 7 is connected to the transmission box 6 through a transmission pipe and is used to transmit cleaning liquid.

[0027] like Figure 7 As shown, a CT scanner uses X-ray technology to obtain cross-sectional images of the human body and provides high-resolution images; an MRI scanner uses magnetic fields and radio frequency signals to act on hydrogen atoms in the body and receives the returned signals to generate high-resolution images.

[0028] The image processing module processes and enhances the acquired raw images to make them clearer and more recognizable, including noise reduction, contrast enhancement, image segmentation, reconstruction, and 3D modeling.

[0029] The image storage and management module includes a database management system and a data compression and storage system. The database management system stores all image data in the database so that it can be retrieved by information such as patient ID, examination type, and time. The data compression and storage system compresses image files to ensure image quality while facilitating network transmission and remote access.

[0030] The image display and visualization module includes multiple display modes, including two-dimensional display, three-dimensional reconstruction, and virtual endoscopy; two-dimensional display is used to display image cross-sections, including CT and ultrasound images; three-dimensional reconstruction uses multi-slice images to reconstruct three-dimensional structures; virtual endoscopy simulates endoscopic examination to facilitate understanding of lesion areas.

[0031] The image analysis module employs computer-aided diagnostic technology, using artificial intelligence and machine learning algorithms to automatically analyze images, thereby enabling rapid and accurate diagnosis of lesions.

[0032] Operating principle: During image data acquisition, raw image data is obtained through ultrasound machine, CT scanner, and MRI scanner. Ultrasound machine generates images through high-frequency sound waves; CT scanner uses X-ray technology to obtain cross-sectional images of the human body and provides high-resolution images; MRI scanner uses magnetic field and radio frequency signals to act on hydrogen atoms in the body and receives the returned signals to generate high-resolution images.

[0033] Specifically, when using an ultrasound machine for data acquisition, the outer surface of probe 3 needs to be coated with ultrasound gel to aid in ultrasound transmission and prevent the formation of an isolation layer between probe 3 and the skin. Therefore, to ensure that the ultrasound gel is evenly coated on the outer surface of probe 3, probe 3 can be positioned on coating box 1. Transfer box 4 can transfer additional ultrasound gel into coating box 1. By pushing cylinder 21 to control the movement of push plate 22, push plate 22 pushes the ultrasound gel inside coating box 1. The ultrasound gel adheres to the outer surface of probe 3 through the holes on coating and bonding part 20. Due to the outer surface of probe 3... The surface is the same as the arc-shaped surface of the coating and bonding part 20 and has a preset interval, which restricts the flow area of ​​the ultrasonic gel, so that it can be evenly attached to the outer surface of the probe 3. Compared with manually holding the probe 3 to apply ultrasonic gel, the amount of ultrasonic gel can be controlled. If the ultrasonic gel is applied by hand, more ultrasonic gel is easily attached, resulting in a large amount of ultrasonic gel being attached to other surface areas of the probe 3, which makes subsequent cleaning more troublesome. In addition, when the probe 3 is moved by hand, if a lot of ultrasonic gel is attached, the ultrasonic gel will be shaken off during the movement, which will not only cause waste, but also increase the difficulty of subsequent cleaning operations.

[0034] After completing the ultrasonic data acquisition, the probe 3 can be cleaned. Specifically, the probe 3 is placed inside the top of the cleaning box 2, the cover plate 8 is pushed and installed on the top of the cleaning box 2, and the top of the probe 3 is pressed by the pressure plate 12; the control pin 11 cooperates with the mating bracket 10 to fix the cover plate 8; when the probe 3 is inside the cleaning box 2, the installation cylinder 15 is moved by the control electric cylinder 18, and the cleaning motor 17 drives the cleaning brush 16 to rotate. The cleaning brush 16 contacts the outer surface of the probe 3 to clean the outer surface of the probe 3. The transmission box 6 transmits the cleaning fluid and releases it through the nozzle 7. The collection box 5 is used to collect the used cleaning fluid.

[0035] The image processing module adjusts and processes the image data to optimize the viewing effect. Specifically, the adjustment and processing methods include noise reduction, which is to eliminate noise in the image through filtering techniques; contrast enhancement, which is to improve the contrast between different tissues or structures in the image to make the lesion area more obvious; image segmentation, which is to divide the image into different regions or levels in order to better identify the region of interest; and reconstruction and 3D visualization, such as in CT or MRI, where 3D images can be reconstructed from different tomographic images to help doctors observe the lesion area from different angles.

[0036] After the image data is processed, it can be stored and managed through the image storage and management module to ensure that the patient's imaging data can be preserved for a long time and easily accessed and shared at any time. Subsequently, the image display and visualization module is used to display the image data, including two-dimensional display, three-dimensional reconstruction and virtual endoscopy. Two-dimensional display is used to display image cross-sections, including CT and ultrasound images. Three-dimensional reconstruction uses multi-slice images to reconstruct three-dimensional structures. Virtual endoscopy simulates endoscopic examination to facilitate understanding of lesion areas.

[0037] The image analysis module automatically analyzes images to facilitate rapid and accurate diagnosis of lesions, including lesion detection, which automatically detects the presence and location of lesions such as tumors, stones, and bleeding; quantitative analysis, which analyzes tumor size and morphological changes, and calculates indicators such as lesion volume and density; and automatic annotation, which marks suspicious areas or structures to help doctors identify them more easily.

Claims

1. An image support system for interventional surgery of respiratory and tracheal tumors, characterized in that: It includes an image acquisition module, an image processing module, an image storage and management module, an image display and visualization module, and an image analysis module; The image acquisition module includes an ultrasound machine, a CT scanner, and an MRI scanner, used to acquire raw image data; The image processing module is used to adjust and process image data to optimize the view effect; The image storage and management module is responsible for storing all image data, ensuring that the patient's imaging data can be preserved for a long time and is easy to access and share at any time; The image display and visualization module is used to display images in two dimensions, three dimensions, and multiple perspectives; The image analysis module is used to automatically analyze images, enabling rapid and accurate diagnosis of lesions.

2. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 1, characterized in that: The ultrasound machine generates images through high-frequency sound waves. The ultrasound machine includes a probe (3), an application component, and a cleaning component. The probe (3) is coated with ultrasound gel by the application component to help conduct ultrasound waves and avoid the formation of an isolation layer between the probe (3) and the skin. The cleaning component performs surface cleaning treatment on the probe (3).

3. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 2, characterized in that: The coating assembly includes a coating box (1), a coating bonding part (20) is fixedly installed inside the coating box (1), the coating bonding part (20) has an arc-shaped surface, a number of holes are opened on the arc-shaped surface, the arc-shaped surface has the same curvature as the outer surface of the probe (3), and a preset interval is provided between the arc-shaped surface and the outer surface of the probe (3); a push cylinder (21) is fixedly installed inside the coating box (1), a push plate (22) is fixedly installed on the telescopic rod of the push cylinder (21), and a transmission box (4) is provided on the outside of the coating box (1) for transmitting supplementary ultrasonic gel into the coating box (1); the transmission box (4) is connected to the inside of the coating box (1) through a transmission pipe.

4. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 2, characterized in that: The cleaning assembly includes a cleaning box (2), a cover plate (8) slidably mounted on the top of the cleaning box (2), mounting rods (9) fixedly mounted on both sides of the cover plate (8), pins (11) slidably fitted at the bottom of the mounting rods (9), and mating brackets (10) fixedly mounted at the bottom of both sides of the cleaning box (2). The mating brackets (10) can cooperate with the pins (11) to fix the cover plate (8); a pressure plate (12) is provided inside the cover plate (8), and the pressure plate (12) is connected to the cover plate (8) by a spring (13). The pressure plate (12) is used to press the probe (3); an installation cylinder (14) is fixedly mounted inside the cleaning box (2), and a control circuit is fixedly mounted inside the installation cylinder (14). The cylinder (18) is fixedly equipped with a second mounting cylinder (15) on the telescopic rod of the control cylinder (18). The second mounting cylinder (15) is fixedly equipped with a cleaning motor (17). The cleaning motor (17) is fixedly equipped with a cleaning brush (16) on the output shaft. The upper end of the cleaning brush (16) is an arc surface that can fit with the outer surface of the probe (3). A collection box (5) and a second transmission box (6) are set on the outside of the cleaning box (2). The collection box (5) is connected to the bottom of the inside of the cleaning box (2) through a transmission pipe for collecting cleaning liquid. A nozzle (7) is fixedly installed on the cleaning box (2) for releasing cleaning liquid. The nozzle (7) is connected to the second transmission box (6) through a transmission pipe for transmitting cleaning liquid.

5. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 1, characterized in that: The CT scanner uses X-ray technology to acquire cross-sectional images of the human body and provides high-resolution images; the MRI scanner uses magnetic fields and radio frequency signals to act on hydrogen atoms in the body and receives the returned signals to generate high-resolution images.

6. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 1, characterized in that: The image processing module processes and enhances the acquired raw images to make them clearer and more recognizable, including noise reduction, contrast enhancement, image segmentation, reconstruction, and 3D modeling.

7. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 1, characterized in that: The image storage and management module includes a database management system and a data compression and storage system. The database management system stores all image data in the database so that it can be retrieved by information such as patient ID, examination type, and time. The data compression and storage system compresses image files to ensure image quality while facilitating network transmission and remote access.

8. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 1, characterized in that: The image display and visualization module includes multiple display modes, including two-dimensional display, three-dimensional reconstruction, and virtual endoscopy; two-dimensional display is used to display image cross-sections, including CT and ultrasound images; three-dimensional reconstruction uses multi-slice images to reconstruct three-dimensional structures; virtual endoscopy simulates endoscopic examination to facilitate understanding of lesion areas.

9. The image support system for interventional surgery of respiratory and tracheal tumors according to claim 1, characterized in that: The image analysis module employs computer-aided diagnostic technology, using artificial intelligence and machine learning algorithms to automatically analyze images, thereby enabling rapid and accurate diagnosis of lesions.

10. A method for using an image support system during interventional surgery for tracheal tumors, characterized in that, Includes the following steps: S10: Use the image acquisition module to acquire raw image data, including image acquisition using ultrasound machine, CT scanner, and MRI scanner; S20: The image processing module processes and enhances the acquired image data, including noise reduction, contrast enhancement, image segmentation, reconstruction, and 3D modeling; and the image storage and management module stores and manages the image data. S30: The image display and visualization module displays the processed image data and uses the monitor to display it in two dimensions, three dimensions, and multiple perspectives to help doctors make diagnoses and analyses. S40: The image analysis module is used to automatically analyze images, complete lesion detection, quantitative analysis and automatic annotation.

Images