Internal arteriovenous fistula rope ladder puncture intelligent planning therapeutic apparatus based on visual navigation

Abstract

The invention relates to the technical field of medical treatment, in particular to an internal arteriovenous fistula rope ladder puncture intelligent planning therapeutic apparatus based on visual navigation, which comprises a visual imaging module, a central processing module, a navigation display module, a puncture auxiliary module and a data management module, the visual imaging module comprises a high-resolution ultrasonic probe module, an image acquisition and transmission module and a three-dimensional imaging function module. The system has the advantages of high puncture accuracy and high working efficiency, puncture points and puncture angles can be accurately selected through visual imaging and intelligent planning, repeated puncture of the same part is avoided, and vascular injury and complications are reduced; a puncture scheme is automatically generated, so that the time and energy of manual planning of medical staff are reduced, and the efficiency of puncture operation is improved; intelligent planning is carried out according to the individual condition of the patient, and the system can formulate a puncture strategy most suitable for the patient by deeply analyzing image data, clinical information and the like of the patient.

Description

Technical Field

[0001] The present invention relates to the technical field of medical field, and in particular to an arteriovenous fistula ladder puncture intelligent planning therapeutic device based on visual navigation. Background Art

[0002] Hemodialysis is the main treatment for end-stage renal disease, and autologous arteriovenous fistula (AVF) is the best vascular access for hemodialysis treatment. Currently, the main puncture methods for arteriovenous fistula include regional puncture, rope ladder puncture and buttonhole puncture.

[0003] Arteriovenous fistula is an important vascular access for hemodialysis patients. The quality of its puncture directly affects the dialysis effect and patient prognosis. Traditional puncture methods rely on the experience of medical staff and have problems such as inaccurate puncture point selection and repeated puncture of the same site, which can easily lead to complications such as vascular stenosis and thrombosis. Although the rope ladder puncture method can avoid these problems to a certain extent, the manual planning of the puncture plan is inefficient and inaccurate. Therefore, there is an urgent need for an intelligent planning treatment device for arteriovenous fistula ladder puncture based on visual navigation to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide an arteriovenous fistula rope ladder puncture intelligent planning treatment device based on visual navigation, which has the advantages of high puncture accuracy and high work efficiency, and solves the problems raised by the above background technology.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: an arteriovenous fistula ladder puncture intelligent planning treatment device based on visual navigation, comprising: a visual imaging module, a central processing module, a navigation display module, a puncture assistance module and a data management module.

[0006] The visualization imaging module includes a high-resolution ultrasound probe module, an image acquisition and transmission module, and a three-dimensional imaging function module.

[0007] The central processing module includes an image contact and preprocessing module, an image recognition and analysis module, a puncture planning module, and a historical data storage and analysis module.

[0008] The navigation display module includes a high-definition display screen, a visual presentation module, and an augmented reality function module; The puncture auxiliary module includes a puncture frame, a pressure sensor, and a feedback system.

[0009] The data management module includes patient information entry and storage module, data query and retrieval module, and data statistics and analysis module.

[0010] Furthermore, as a preferred embodiment of the present invention, the image acquisition and transmission module uses a high-speed data transmission line to transmit the blood vessel image acquired by the ultrasound probe to the central processing module in real time.

[0011] Furthermore, as a preferred embodiment of the present invention, the image recognition and analysis module includes a vascular feature extraction module and a vascular positioning module. The vascular feature extraction module uses a deep learning algorithm and a convolutional neural network to process the vascular image transmitted by the visualization imaging module. The vascular positioning module combines the image coordinate system and spatial positioning information to accurately locate the blood vessels.

[0012] Furthermore, as a preferred embodiment of the present invention, the puncture planning module includes the coordinate position of the planned puncture point, specific data of the puncture angle and a recommended puncture depth value.

[0013] Furthermore, as a preferred embodiment of the present invention, the puncture frame is made of stainless steel and can be adjusted along three directions: X, Y, and Z.

[0014] Furthermore, as a preferred embodiment of the present invention, the pressure sensor is installed on the puncture needle.

[0015] In the present invention, a method for using an arteriovenous fistula ladder puncture intelligent planning treatment device based on visual navigation comprises the following steps: Step 1: Use the high-resolution ultrasound probe module in the visualization module to scan the intravenous fistula. The high-resolution ultrasound probe module can detect blood vessels from different angles. With its high frequency and high resolution, it can clearly capture the direction, depth, diameter, and blood flow of the blood vessels. The image acquisition and transmission module transmits the blood vessel images captured by the high-resolution ultrasound probe module to the central processing module in real time via a high-speed data transmission line. At the same time, the 3D imaging function module uses multiple frames of 2D image data and a specific 3D reconstruction algorithm to construct a 3D model of the blood vessels, providing more comprehensive and intuitive information for subsequent precise planning. Step 2: After the central processing module receives the image data, the image contact and preprocessing module first performs preliminary processing on the image, such as removing noise and enhancing contrast, to improve image quality and facilitate subsequent analysis. The image recognition and analysis module then begins to function. The vascular feature extraction module uses a deep learning algorithm to process the preprocessed vascular image, accurately extracting key features such as vessel diameter, length, direction, branching, and blood flow velocity. The vascular positioning module combines the image's coordinate system with spatial positioning learning to accurately locate the blood vessels and determine their specific position and depth on the human arm. Step 3: The puncture planning module intelligently plans the coordinate position of the puncture point, the specific data of the puncture angle, and the recommended puncture depth according to the principles and requirements of the rope ladder puncture method based on the extracted vascular characteristics, positioning information, and individual patient conditions, and generates a detailed puncture plan. The historical data storage and analysis module stores the patient's vascular information and puncture plan data, and compares and analyzes it with the patient's historical puncture data to evaluate the rationality and effectiveness of the puncture plan, providing reference and improvement basis for subsequent punctures; Step 4: The navigation display module receives the puncture plan generated by the central processing module. The high-definition display screen clearly displays the puncture plan at high resolution. The visualization presentation module presents the puncture point, puncture angle, and puncture depth information in intuitive graphics and text. The augmented reality function module uses a camera to capture the actual image of the patient's arm and superimposes the virtual puncture plan on the actual arm image, allowing medical staff to more intuitively see the puncture path and target position. Step 5: The puncture assist module begins to cooperate with the navigation display module to perform the puncture operation. The puncture frame is made of stainless steel and can be flexibly adjusted in the X, Y, and Z directions. Medical staff adjust the position of the puncture frame according to the prompts of the navigation display module to accurately align the puncture needle with the puncture point. The pressure sensor installed on the puncture needle monitors the pressure changes during the puncture process in real time. The feedback system feeds back the pressure data to the medical staff. When the pressure is abnormal, an alarm is issued in time to remind the medical staff to adjust the puncture force to ensure the safety and accuracy of the puncture process; Step 6: The data management module plays a role in data management and support throughout the entire process. The patient information entry and storage module is responsible for entering and storing the patient's basic information, medical records, and puncture record data. The data query and retrieval module allows medical staff to query the patient's relevant information at any time, providing a reference for clinical diagnosis and treatment. The data statistics and analysis module performs statistical analysis on the puncture data of a large number of patients, such as the puncture success rate and complication rate, providing data support for clinical research and quality control, and helping to continuously improve puncture technology and enhance treatment effects.

[0016] Beneficial effects: The technical solution of the present application has the following technical effects: the present invention has the advantages of high puncture accuracy and high work efficiency. Through visual imaging and intelligent planning, it can accurately select the puncture point and puncture angle, avoid repeated puncture of the same site, and reduce the occurrence of vascular damage and complications; automatically generate puncture plans, reduce the time and energy of medical staff in manual planning, and improve the efficiency of puncture operations; perform intelligent planning based on the individual conditions of the patient, and through in-depth analysis of the patient's imaging data, clinical information, etc., the system can formulate the most suitable puncture strategy for the patient, improve the success rate of puncture and treatment effect; realize centralized management of patient information and data analysis, and provide strong support for clinical research and quality control. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 Flow chart of the steps of the present invention; Figure 2 This is the overall architecture diagram of the system of the present invention. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. In order to better understand the technical content of the present invention, specific embodiments are cited and explained in conjunction with the drawings as follows. Various aspects of the present invention are described in this disclosure with reference to the drawings, which show many illustrative embodiments. It should be understood that the various concepts and embodiments introduced above, as well as those described in more detail below, can be implemented in any of many ways. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0019] As attached Figure 1 To the attached Figure 2 As shown: This embodiment provides an arteriovenous fistula rope ladder puncture intelligent planning treatment device based on visual navigation, including: a visual imaging module, a central processing module, a navigation display module, a puncture auxiliary module and a data management module.

[0020] The visualization imaging module includes a high-resolution ultrasound probe module, an image acquisition and transmission module, and a three-dimensional imaging function module.

[0021] The central processing module includes an image contact and preprocessing module, an image recognition and analysis module, a puncture planning module, and a historical data storage and analysis module.

[0022] The navigation display module includes a high-definition display screen, a visual presentation module, and an augmented reality function module; The puncture auxiliary module includes a puncture frame, a pressure sensor, and a feedback system.

[0023] The data management module includes patient information entry and storage module, data query and retrieval module, and data statistics and analysis module.

[0024] Specifically, the image acquisition and transmission module uses a high-speed data transmission line to transmit the blood vessel image acquired by the ultrasound probe to the central processing module in real time.

[0025] Specifically, the image recognition and analysis module includes a vascular feature extraction module and a vascular positioning module. The vascular feature extraction module uses a deep learning algorithm and a convolutional neural network to process the vascular images transmitted by the visualization imaging module. The vascular positioning module combines the image's coordinate system and spatial positioning information to accurately locate the blood vessels.

[0026] Specifically, the puncture planning module includes the coordinate position of the planned puncture point, specific data of the puncture angle, and the recommended puncture depth value.

[0027] Specifically, the puncture frame is made of stainless steel and can be adjusted along the X, Y, and Z directions.

[0028] Specifically, the pressure sensor is installed on the puncture needle.

[0029] In the present invention, a method for using an arteriovenous fistula ladder puncture intelligent planning treatment device based on visual navigation comprises the following steps: Step 1: Use the high-resolution ultrasound probe module in the visualization module to scan the intravenous fistula. The high-resolution ultrasound probe module can detect blood vessels from different angles. With its high frequency and high resolution, it can clearly capture the direction, depth, diameter, and blood flow of the blood vessels. The image acquisition and transmission module transmits the blood vessel images captured by the high-resolution ultrasound probe module to the central processing module in real time via a high-speed data transmission line. At the same time, the 3D imaging function module uses multiple frames of 2D image data and a specific 3D reconstruction algorithm to construct a 3D model of the blood vessels, providing more comprehensive and intuitive information for subsequent precise planning. Step 2: After the central processing module receives the image data, the image contact and preprocessing module first performs preliminary processing on the image, such as removing noise and enhancing contrast, to improve image quality and facilitate subsequent analysis. The image recognition and analysis module then begins to function. The vascular feature extraction module uses a deep learning algorithm to process the preprocessed vascular image, accurately extracting key features such as vessel diameter, length, direction, branching, and blood flow velocity. The vascular positioning module combines the image's coordinate system with spatial positioning learning to accurately locate the blood vessels and determine their specific position and depth on the human arm. Step 3: The puncture planning module intelligently plans the coordinate position of the puncture point, the specific data of the puncture angle, and the recommended puncture depth according to the principles and requirements of the rope ladder puncture method based on the extracted vascular characteristics, positioning information, and individual patient conditions, and generates a detailed puncture plan. The historical data storage and analysis module stores the patient's vascular information and puncture plan data, and compares and analyzes it with the patient's historical puncture data to evaluate the rationality and effectiveness of the puncture plan, providing reference and improvement basis for subsequent punctures; Step 4: The navigation display module receives the puncture plan generated by the central processing module. The high-definition display screen clearly displays the puncture plan at high resolution. The visualization presentation module presents the puncture point, puncture angle, and puncture depth information in intuitive graphics and text. The augmented reality function module uses a camera to capture the actual image of the patient's arm and superimposes the virtual puncture plan on the actual arm image, allowing medical staff to more intuitively see the puncture path and target position. Step 5: The puncture assist module begins to cooperate with the navigation display module to perform the puncture operation. The puncture frame is made of stainless steel and can be flexibly adjusted in the X, Y, and Z directions. Medical staff adjust the position of the puncture frame according to the prompts of the navigation display module to accurately align the puncture needle with the puncture point. The pressure sensor installed on the puncture needle monitors the pressure changes during the puncture process in real time. The feedback system feeds back the pressure data to the medical staff. When the pressure is abnormal, an alarm is issued in time to remind the medical staff to adjust the puncture force to ensure the safety and accuracy of the puncture process; Step 6: The data management module plays a role in data management and support throughout the entire process. The patient information entry and storage module is responsible for entering and storing the patient's basic information, medical records, and puncture record data. The data query and retrieval module allows medical staff to query the patient's relevant information at any time, providing a reference for clinical diagnosis and treatment. The data statistics and analysis module performs statistical analysis on the puncture data of a large number of patients, such as the puncture success rate and complication rate, providing data support for clinical research and quality control, and helping to continuously improve puncture technology and enhance treatment effects.

[0030] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0031] While the present invention has been disclosed above with reference to preferred embodiments, this is not intended to limit the present invention. Persons skilled in the art will readily appreciate that various modifications and variations can be made without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be determined by the claims.

Claims

1. An intelligent planning and treatment device for arteriovenous fistula puncture based on visual navigation, characterized by: include: Visual imaging module, central processing module, navigation display module, puncture assistance module and data management module; The visualization imaging module includes a high-resolution ultrasound probe module, an image acquisition and transmission module, and a three-dimensional imaging function module; The central processing module includes image contact and preprocessing module, image recognition and analysis module, puncture planning module, and historical data storage and analysis module; The navigation display module includes a high-definition display screen, a visual presentation module, and an augmented reality function module; The puncture auxiliary module includes a puncture stand, a pressure sensor, and a feedback system; The data management module includes patient information entry and storage module, data query and retrieval module, and data statistics and analysis module.

2. The visual navigation-based intelligent planning therapy device for arteriovenous fistula puncture ladder according to claim 1, characterized in that: The image acquisition and transmission module uses a high-speed data transmission line to transmit the blood vessel image acquired by the ultrasound probe to the central processing module in real time.

3. The visual navigation-based intelligent planning therapy device for arteriovenous fistula puncture ladder according to claim 1, characterized in that: The image recognition and analysis module includes a vascular feature extraction module and a vascular positioning module. The vascular feature extraction module uses a deep learning algorithm and a convolutional neural network to process the vascular image transmitted by the visualization imaging module. The vascular positioning module combines the image's coordinate system and spatial positioning information to accurately locate the blood vessels.

4. The visual navigation-based intelligent planning therapy device for arteriovenous fistula puncture ladder according to claim 1, characterized in that: The puncture planning module includes the coordinate position of the planned puncture point, specific data of the puncture angle and the recommended value of the puncture depth.

5. The visual navigation-based intelligent planning treatment device for arteriovenous fistula puncture ladder according to claim 1 is characterized by: The puncture frame is made of stainless steel and can be adjusted along three directions: X, Y, and Z.

6. The visual navigation-based intelligent planning treatment device for arteriovenous fistula puncture ladder according to claim 1, characterized in that: The pressure sensor is installed on the puncture needle.

7. A method for using an intelligent planning therapeutic device for arteriovenous fistula puncture based on visual navigation, characterized by: The method comprises the following steps: Step 1: Use the high-resolution ultrasound probe module in the visualization module to scan the intravenous fistula. The high-resolution ultrasound probe module can detect blood vessels from different angles. With its high frequency and high resolution, it can clearly capture the direction, depth, diameter, and blood flow of the blood vessels. The image acquisition and transmission module transmits the blood vessel images captured by the high-resolution ultrasound probe module to the central processing module in real time via a high-speed data transmission line. At the same time, the 3D imaging function module uses multiple frames of 2D image data and a specific 3D reconstruction algorithm to construct a 3D model of the blood vessels, providing more comprehensive and intuitive information for subsequent precise planning. Step 2: After the central processing module receives the image data, the image contact and preprocessing module first performs preliminary processing on the image, such as removing noise and enhancing contrast, to improve image quality and facilitate subsequent analysis. The image recognition and analysis module then begins to function. The vascular feature extraction module uses a deep learning algorithm to process the preprocessed vascular image, accurately extracting key features such as vessel diameter, length, direction, branching, and blood flow velocity. The vascular positioning module combines the image's coordinate system with spatial positioning learning to accurately locate the blood vessels and determine their specific position and depth on the human arm. Step 3: The puncture planning module intelligently plans the coordinate position of the puncture point, the specific data of the puncture angle, and the recommended puncture depth according to the principles and requirements of the rope ladder puncture method based on the extracted vascular characteristics, positioning information, and individual patient conditions, and generates a detailed puncture plan. The historical data storage and analysis module stores the patient's vascular information and puncture plan data, and compares and analyzes it with the patient's historical puncture data to evaluate the rationality and effectiveness of the puncture plan, providing reference and improvement basis for subsequent punctures; Step 4: The navigation display module receives the puncture plan generated by the central processing module. The high-definition display screen clearly displays the puncture plan at high resolution. The visualization presentation module presents the puncture point, puncture angle, and puncture depth information in intuitive graphics and text. The augmented reality function module uses a camera to capture the actual image of the patient's arm and superimposes the virtual puncture plan on the actual arm image, allowing medical staff to more intuitively see the puncture path and target position. Step 5: The puncture assist module begins to cooperate with the navigation display module to perform the puncture operation. The puncture frame is made of stainless steel and can be flexibly adjusted in the X, Y, and Z directions. Medical staff adjust the position of the puncture frame according to the prompts of the navigation display module to accurately align the puncture needle with the puncture point. The pressure sensor installed on the puncture needle monitors the pressure changes during the puncture process in real time. The feedback system feeds back the pressure data to the medical staff. When the pressure is abnormal, an alarm is issued in time to remind the medical staff to adjust the puncture force to ensure the safety and accuracy of the puncture process; Step 6: The data management module plays a role in data management and support throughout the entire process. The patient information entry and storage module is responsible for entering and storing the patient's basic information, medical records, and puncture record data. The data query and retrieval module allows medical staff to query the patient's relevant information at any time, providing a reference for clinical diagnosis and treatment. The data statistics and analysis module performs statistical analysis on the puncture data of a large number of patients, such as the puncture success rate and complication rate, providing data support for clinical research and quality control, and helping to continuously improve puncture technology and enhance treatment effects.

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