Precise liposuction needle with force feedback function and fat transplantation navigation system

Abstract

The invention discloses a precise liposuction needle with a force feedback function and a fat transplantation navigation system, and relates to the field of medical instruments. Comprising a liposuction needle and a fat transplantation navigation system which achieve data interaction in a wireless or wired communication mode. The liposuction needle is used for collecting liposuction depth, tissue pressure and image data in real time and transmitting the data to the navigation system, and the navigation system generates body surface projection navigation information based on the received data and dynamically regulates and controls liposuction parameters. By integrating a real-time pressure monitoring system, a liposuction depth feedback system, an image data acquisition system and a body surface projection navigation system, the operation safety is improved, the fat cell survival rate is optimized, and the operation precision and symmetry are improved.

Description

Technical Field

[0001] This invention relates to the field of medical devices, specifically to a precision liposuction needle with force feedback function and a fat transplantation navigation system. Background Technology

[0002] Traditional liposuction relies on the surgeon's experience to judge the depth of liposuction and the pressure on the fat layer, which leads to problems such as blind operation, high fat cell damage rate, and insufficient surgical precision. Blind operation may cause nerve and blood vessel damage, resulting in a high rate of fat cell damage and low survival rate after transplantation. In addition, traditional liposuction relies on manual measurement of surface markers, often resulting in asymmetry between the two sides after surgery. Although some existing technologies are equipped with pressure sensors or cameras, these devices have not worked effectively together, and the liposuction and transplantation processes are not effectively linked, affecting fat survival and surgical outcomes.

[0003] Develop an intelligent system integrating precise liposuction and safe transplantation, enhancing surgical accuracy and safety through real-time data acquisition and visual navigation. This system should integrate data from multiple sources, including liposuction depth, pressure, and imaging, providing real-time feedback and dynamic adjustment to help doctors precisely control the liposuction process, reducing blind operation and nerve damage. Simultaneously, intelligent navigation and 3D image guidance optimize fat cell survival rates, reduce postoperative asymmetry, and improve surgical outcomes and patient satisfaction. Summary of the Invention

[0004] Based on the shortcomings of the prior art described above, the purpose of this invention is to provide a precision liposuction needle with force feedback function and a fat transplantation navigation system to solve the above-mentioned technical problems.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a precision liposuction needle with force feedback function and a fat transplantation navigation system, comprising:

[0006] The liposuction cannula and the fat grafting navigation system communicate with each other wirelessly or via wired communication.

[0007] The liposuction cannula is used to collect liposuction depth, tissue pressure, and image data in real time and transmit them to the navigation system. The navigation system generates surface projection navigation information based on the received data and dynamically adjusts the liposuction parameters.

[0008] The present invention is further configured such that the liposuction needle includes a hollow needle body, a pressure sensing module, a micro imaging module, a force feedback actuator, and a control unit;

[0009] The hollow needle body is made of medical stainless steel, and the needle tip area has a preset number of liposuction holes, with the hole spacing evenly distributed according to a preset distance;

[0010] The pressure sensing module is a piezoresistive pressure sensor located behind the needle tip, which collects the dynamic pressure of the fat layer in real time.

[0011] The miniature imaging module is located inside the needle tip and includes a camera and an LED cold light source to capture real-time images of the tissue in the operating area.

[0012] The force feedback actuator is built into the vibration motor of the needle handle and generates vibration intensity feedback based on the pressure data collected by the pressure sensor.

[0013] The control unit integrates a microprocessor to process liposuction depth, tissue pressure, and imaging data, and transmits the data to the navigation system wirelessly or via wired means.

[0014] The present invention is further configured such that the vibration intensity of the force feedback actuator is positively correlated with the pressure, and when the pressure is greater than a preset first pressure threshold, a high-frequency vibration warning is triggered.

[0015] The present invention is further configured such that the fat transplantation navigation system includes a body surface projection module, a data processing platform, and an interactive interface;

[0016] The body surface projection module uses DLP projection technology to fuse the preoperative CT / MRI reconstruction model and real-time images, projecting a three-dimensional navigation grid onto the patient's body surface to display real-time images and planned paths of the liposuction area;

[0017] The data processing platform is used to receive liposuction depth, tissue pressure and imaging data transmitted by the liposuction cannula, generate real-time operation suggestions based on the pre-set safety parameters, and dynamically adjust the liposuction parameters based on the fat cell damage model. The safety parameters include a safe liposuction depth range and a pressure threshold, and the liposuction parameters include liposuction negative pressure and liposuction speed.

[0018] The interactive interface displays real-time pressure curves, tissue images, and transplantation area planning maps via a touchscreen, and supports manual adjustment of navigation parameters, including safety parameters and liposuction parameters.

[0019] The present invention is further configured such that the fat cell damage model of the data processing platform correlates the real-time pressure data collected by the pressure sensor with the fat survival rate, and calculates the real-time damage rate based on the fat cell damage model.

[0020] When the real-time pressure exceeds the preset first pressure threshold or the real-time damage rate exceeds the preset first damage threshold, suction is paused and a high-frequency vibration warning is initiated.

[0021] When the real-time pressure exceeds the preset second pressure threshold or the real-time damage rate exceeds the preset second damage threshold, the liposuction negative pressure and liposuction speed are adjusted to the preset safe range, respectively.

[0022] The present invention is further configured such that the three-dimensional navigation mesh projected by the body surface projection module includes layered color markers:

[0023] When the liposuction depth is greater than or equal to the preset first depth threshold and less than or equal to the preset second depth threshold, it is in the safe operation zone and is displayed in green.

[0024] When the liposuction depth is less than the preset first depth threshold or greater than the preset second depth threshold, it is in a high-risk zone and is displayed in red.

[0025] The real-time position of the needle tip is displayed by overlaying a dynamic cursor.

[0026] The present invention is further configured such that the data of the micro imaging module and the pressure sensing module of the liposuction needle are synchronized by timestamp within the control unit to ensure that the matching accuracy error between the pressure value and the corresponding image frame is less than a preset error threshold.

[0027] The present invention is further configured such that the calculation logic for the real-time damage rate is as follows: D represents the damage rate, and σ represents the damage coefficient due to pressure change. Let τ be the pressure-time derivative, and τ be the pressure gradient damage coefficient. For pressure field Laplace operator.

[0028] The present invention is further configured such that the pressure field Laplace operator The radial pressure distribution is acquired by collecting data from a needle-tip annular pressure sensor array. The calculation logic of the pressure field Laplace operator is as follows: n is the sensor number index, P n P0 is the real-time pressure value of the nth sensor, P0 is the reference pressure at the center of the needle tip, and d is the distance from the sensor to the center of the needle tip.

[0029] This invention provides a precision liposuction cannula with force feedback and a fat grafting navigation system. The liposuction cannula and the fat grafting navigation system interact wirelessly or via wired communication. The liposuction cannula is used to collect liposuction depth, tissue pressure, and imaging data in real time and transmit them to the navigation system. The navigation system generates surface projection navigation information based on the received data and dynamically adjusts the liposuction parameters, resulting in the following beneficial effects:

[0030] 1. Improve surgical safety: By integrating real-time pressure monitoring, liposuction depth feedback and image data acquisition, combined with a body surface projection navigation system, it can display real-time data and operation depth during the liposuction process, reduce blind operation by doctors during the operation, reduce the risk of nerve and blood vessel damage, and avoid common complications such as lateral femoral cutaneous nerve injury.

[0031] 2. Optimize fat cell survival rate: By introducing a fat cell damage model and dynamically adjusting the liposuction negative pressure and liposuction speed based on real-time pressure data, mechanical damage is reduced and the survival rate of fat cells during the liposuction process is improved.

[0032] 3. Improved surgical precision and symmetry: Utilizing a surface projection module and a 3D navigation grid, preoperative images are fused with real-time data using DLP projection technology. This dynamically displays the real-time depth, path, and surgical progress of the liposuction area, and can also annotate the liposuction area and fat grafting path in real time. With navigation assistance, doctors can control the depth and intensity of liposuction, thereby reducing the incidence of postoperative asymmetry.

[0033] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0035] Figure 1 This is a structural diagram of a precision liposuction needle with force feedback function and a fat transplantation navigation system, which is an exemplary embodiment of the present invention. Detailed Implementation

[0036] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.

[0037] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0038] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0039] A precision liposuction cannula with force feedback and a fat grafting navigation system, such as Figure 1 As shown, it includes:

[0040] The liposuction cannula and the fat grafting navigation system communicate with each other wirelessly or via wired communication.

[0041] The liposuction cannula is used to collect liposuction depth, tissue pressure, and image data in real time and transmit them to the navigation system. The navigation system generates surface projection navigation information based on the received data and dynamically adjusts the liposuction parameters.

[0042] The present invention is further configured such that the liposuction needle includes a hollow needle body, a pressure sensing module, a micro imaging module, a force feedback actuator, and a control unit;

[0043] The hollow needle body is made of medical stainless steel, and the needle tip area has a preset number of liposuction holes, with the hole spacing evenly distributed according to a preset distance;

[0044] The pressure sensing module is a piezoresistive pressure sensor located behind the needle tip, which collects the dynamic pressure of the fat layer in real time.

[0045] The miniature imaging module is located inside the needle tip and includes a camera and an LED cold light source to capture real-time images of the tissue in the operating area.

[0046] The force feedback actuator is built into the vibration motor of the needle handle and generates vibration intensity feedback based on the pressure data collected by the pressure sensor.

[0047] The control unit integrates a microprocessor to process liposuction depth, tissue pressure, and imaging data, and transmits the data to the navigation system wirelessly or via wired connection. Specifically, the hollow needle body is made of medical-grade stainless steel, possessing excellent biocompatibility and corrosion resistance, ensuring it is not easily deformed or corroded during prolonged use. The liposuction holes are evenly distributed in the needle tip area, ensuring uniform and efficient liposuction. For example, the liposuction needle diameter can be set to 2mm-4mm, with 3 to 6 liposuction holes within 1cm of the needle tip, and a hole spacing of 2mm-3mm. A pressure sensing module is integrated behind the needle tip, employing a high-precision piezoresistive pressure sensor to monitor pressure changes in the fat layer in real time and promptly feed the data back to the control unit, helping the doctor adjust the suction force in real time to avoid damage to fat cells and nerves / blood vessels caused by excessive suction. A miniature imaging module is built into... The needle tip includes a small camera and an LED cold light source. The camera, in conjunction with the LED cold light source, captures real-time images of the tissue in the operating area, ensuring image clarity even in a low-temperature environment. During the procedure, the image data is transmitted in real-time to the control unit and navigation system, helping the doctor to monitor the specific condition of the liposuction area at any time and avoid local damage caused by improper operation. The force feedback actuator, a vibration motor built into the needle handle, generates vibration intensity feedback based on real-time pressure data collected by the pressure sensor module. The force feedback actuator alerts the doctor through high-frequency vibration, ensuring the safety and accuracy of the operation. The control unit integrates a microprocessor, responsible for processing liposuction depth, tissue pressure, and image data, and transmits the data to the navigation system wirelessly or via wired means, ensuring that all components work together, monitoring the surgical progress in real time, and making dynamic adjustments, thereby improving the precision and safety of the surgery.

[0048] The invention is further configured such that the vibration intensity of the force feedback actuator is positively correlated with the pressure. When the pressure exceeds a preset first pressure threshold, a high-frequency vibration warning is triggered. Specifically, the force feedback actuator is built into the handle of the liposuction needle and is driven by a vibration motor to generate vibration intensity feedback in real time based on the pressure data collected by the pressure sensor. When the pressure during operation exceeds the preset first pressure threshold, the force feedback actuator automatically activates the high-frequency vibration mode. In this embodiment, the preset range of the first pressure threshold can be 25 kPa to 35 kPa, and the vibration intensity is positively correlated with the pressure; the higher the pressure, the stronger the vibration. The high-frequency vibration warning mechanism of the force feedback actuator can remind the doctor that the current operation exceeds the safe range, helping the doctor adjust the liposuction depth and force, thereby reducing the risk of fat cell damage, nerve and blood vessel damage, and other complications.

[0049] The present invention is further configured such that the fat transplantation navigation system includes a body surface projection module, a data processing platform, and an interactive interface;

[0050] The body surface projection module uses DLP projection technology to fuse the preoperative CT / MRI reconstruction model and real-time images, projecting a three-dimensional navigation grid onto the patient's body surface to display real-time images and planned paths of the liposuction area;

[0051] The data processing platform is used to receive liposuction depth, tissue pressure and imaging data transmitted by the liposuction cannula, generate real-time operation suggestions based on the pre-set safety parameters, and dynamically adjust the liposuction parameters based on the fat cell damage model. The safety parameters include a safe liposuction depth range and a pressure threshold, and the liposuction parameters include liposuction negative pressure and liposuction speed.

[0052] The interactive interface displays real-time pressure curves, tissue images, and transplantation area planning maps via a touchscreen. It supports manual adjustment of navigation parameters, including safety and liposuction parameters. Specifically, the fat transplantation navigation system includes a body surface projection module, a data processing platform, and an interactive interface, providing precise liposuction operations and optimized fat transplantation results. The body surface projection module uses DLP projection technology to overlay preoperative planned paths and intraoperative dynamic cursors in real time, achieving precise alignment between preoperative design and intraoperative navigation. Through DLP projection technology, it fuses preoperative CT / MRI reconstruction models with real-time intraoperative images, projecting a three-dimensional navigation grid onto the patient's body surface to display the planned path of the liposuction area, the current surgical progress, and potential risk areas. The processing platform receives real-time data from the liposuction cannula, including liposuction depth, tissue pressure, and imaging data. Based on pre-set safety parameters, it generates real-time operational suggestions. By integrating with a fat cell damage model, the platform dynamically adjusts the negative pressure and speed of liposuction, optimizing the results, reducing fat cell damage, and improving fat survival rate. The interactive interface displays pressure data in real-time via a touchscreen and allows doctors to adjust liposuction parameters and navigation settings based on real-time feedback, enhancing decision support and improving surgical precision, reducing postoperative asymmetry, and improving patient recovery. Through real-time monitoring, intelligent adjustment, and visual feedback, the platform enhances the safety, precision, and fat survival rate of liposuction surgery and optimizes the fat grafting process.

[0053] The present invention is further configured such that the fat cell damage model of the data processing platform correlates the real-time pressure data collected by the pressure sensor with the fat survival rate, and calculates the real-time damage rate based on the fat cell damage model.

[0054] When the real-time pressure exceeds the preset first pressure threshold or the real-time damage rate exceeds the preset first damage threshold, suction is paused and a high-frequency vibration warning is initiated.

[0055] When the real-time pressure exceeds a preset second pressure threshold or the real-time damage rate exceeds a preset second damage threshold, the liposuction negative pressure and liposuction speed are adjusted to preset safe ranges, respectively. Specifically, the fat cell damage model is a mathematical model that assesses the degree of fat cell damage based on real-time pressure data and pressure gradients. This model combines factors such as pressure change rate and local pressure distribution to predict the potential damage to fat cells during liposuction. The fat cell damage model correlates the pressure data collected in real-time by the pressure sensor with the fat survival rate and dynamically calculates the damage rate based on the collected real-time pressure data. The data processing platform monitors pressure changes in real time during liposuction. If the real-time pressure exceeds a preset first pressure threshold or the damage rate exceeds a preset first damage threshold, the system will trigger... The suction is paused and a high-frequency vibration warning is activated to alert the doctor to the risks of the current procedure, preventing excessive damage to fat cells or neurovascular damage. If the real-time pressure exceeds a preset second pressure threshold or the damage rate exceeds a preset second damage threshold, the system automatically adjusts the liposuction negative pressure and liposuction speed to a preset safe range to ensure safety during the procedure. The first pressure threshold is greater than the second pressure threshold, and the first damage threshold is greater than the second damage threshold. This mechanism can adjust surgical parameters in real time based on pressure and damage levels, avoiding over-operation and improving fat survival rate, thereby optimizing fat grafting results. Through this intelligent adjustment, real-time and accurate operational guidance can be obtained during the procedure, reducing fat cell damage and postoperative complications, while improving surgical precision and safety.

[0056] The present invention is further configured such that the three-dimensional navigation mesh projected by the body surface projection module includes layered color markers:

[0057] When the liposuction depth is greater than or equal to the preset first depth threshold and less than or equal to the preset second depth threshold, it is in the safe operation zone and is displayed in green.

[0058] When the liposuction depth is less than the preset first depth threshold or greater than the preset second depth threshold, it is in a high-risk zone and is displayed in red.

[0059] The real-time needle tip position is displayed via a dynamic cursor overlay. Specifically, in this embodiment, the body surface projection module generates a three-dimensional navigation mesh using DLP projection technology and assigns layered color markings based on different liposuction depths to reflect the safety and risks of the liposuction operation in real time. The system presets a first depth threshold and a second depth threshold. When the liposuction depth is greater than or equal to the first depth threshold and less than or equal to the second depth threshold, the projection mesh will be displayed in green, indicating that the liposuction operation is within a safe range. When the liposuction depth is less than the first depth threshold or greater than the second depth threshold, the projection mesh will be displayed in red, indicating that a high-risk area has been entered, leading to excessive fat removal or damage to important tissues. To further guide the operation more precisely, the liposuction needle tip position is displayed in real time via a dynamic cursor, ensuring that the progress and depth of the surgery can be monitored at any time, avoiding misoperation and improving surgical accuracy. As the surgery progresses, the system continuously updates the needle tip position and adjusts the color markings accordingly, ensuring timely and clear depth feedback at each stage of the operation.

[0060] The invention is further configured such that the data from the micro-imaging module and pressure sensing module of the liposuction needle are synchronized via timestamps within the control unit, ensuring that the matching accuracy error between the pressure value and the corresponding image frame is less than a preset error threshold. Specifically, in the embodiment, the micro-imaging module and pressure sensing module achieve timestamp synchronization through the control unit, ensuring that the pressure data and image data collected by the liposuction needle can be accurately matched. The pressure sensing module inside the liposuction needle monitors the dynamic pressure changes of the fat layer in real time, while the micro-imaging module captures real-time images of the operating area through a camera. The data from both are processed by the control unit, which assigns a timestamp to each image frame and each pressure value, ensuring that each image frame is aligned with its corresponding pressure data in time. Through timestamp synchronization, inconsistencies between the image and pressure data caused by differences in acquisition time can be avoided, thereby ensuring that the matching accuracy error between the two always remains within the preset error threshold, obtaining accurate real-time feedback, and avoiding erroneous operations due to data mismatch.

[0061] The present invention is further configured such that the calculation logic for the real-time damage rate is as follows: D represents the damage rate, and σ represents the damage coefficient due to pressure change. Let τ be the pressure-time derivative, and τ be the pressure gradient damage coefficient. The pressure field Laplace operator; the pressure field Laplace operator The radial pressure distribution is acquired by collecting data from a needle-tip annular pressure sensor array. The calculation logic of the pressure field Laplace operator is as follows: n is the sensor number index, P nHere, P0 is the real-time pressure value of the nth sensor, P0 is the reference pressure at the needle tip center, and d is the distance from the sensor to the needle tip center. Specifically, this embodiment collects real-time pressure data from the pressure sensor in the liposuction needle, calculates the time derivative of the pressure and the Laplacian operator of the pressure field, and calculates the real-time damage rate by monitoring the rate of pressure change and the spatial changes in pressure distribution in real time, reflecting the degree of damage to fat cells caused by pressure changes during liposuction. σ is used to control the influence of pressure changes on the damage rate, and its value range is [0,1]. τ is used to control the influence of the pressure gradient on the damage rate, and its value range is [0,1]. The pressure time derivative is... The Laplace operator is used to represent the rate of pressure change, reflecting the effect of instantaneous pressure changes on fat cells during liposuction; This method measures the spatial variation of the pressure field, reflects the differences in local pressure distribution, and reveals the potential risks of local pressure concentration to fat cells. A large pressure gradient usually means that the local pressure fluctuates violently, leading to fat cell damage. By combining the rate of pressure change and the pressure gradient, the degree of fat cell damage can be assessed in real time and accurately. This allows for dynamic adjustment of liposuction parameters, which can reduce damage caused by excessive liposuction or local pressure concentration and improve fat survival rate.

[0062] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A precision liposuction cannula with force feedback function and a fat grafting navigation system, characterized in that, include: The liposuction cannula and the fat grafting navigation system communicate with each other wirelessly or via wired communication. The liposuction cannula is used to collect liposuction depth, tissue pressure, and image data in real time and transmit them to the navigation system. The navigation system generates surface projection navigation information based on the received data and dynamically adjusts the liposuction parameters.

2. The precision liposuction cannula with force feedback function and the fat transplantation navigation system according to claim 1, characterized in that, The liposuction needle includes a hollow needle body, a pressure sensing module, a micro imaging module, a force feedback actuator, and a control unit; The hollow needle body is made of medical stainless steel, and the needle tip area has a preset number of liposuction holes, with the hole spacing evenly distributed according to a preset distance; The pressure sensing module is a piezoresistive pressure sensor located behind the needle tip, which collects the dynamic pressure of the fat layer in real time. The miniature imaging module is located inside the needle tip and includes a camera and an LED cold light source to capture real-time images of the tissue in the operating area. The force feedback actuator is built into the vibration motor of the needle handle and generates vibration intensity feedback based on the pressure data collected by the pressure sensor. The control unit integrates a microprocessor to process liposuction depth, tissue pressure, and imaging data, and transmits the data to the navigation system wirelessly or via wired means.

3. The precision liposuction cannula with force feedback function and the fat transplantation navigation system according to claim 2, characterized in that, The vibration intensity of the force feedback actuator is positively correlated with the pressure. When the pressure exceeds a preset first pressure threshold, a high-frequency vibration warning is triggered.

4. The precision liposuction cannula with force feedback function and the fat transplantation navigation system according to claim 1, characterized in that, The fat grafting navigation system includes a body surface projection module, a data processing platform, and an interactive interface; The body surface projection module uses DLP projection technology to fuse the preoperative CT / MRI reconstruction model and real-time images, projecting a three-dimensional navigation grid onto the patient's body surface to display real-time images and planned paths of the liposuction area; The data processing platform is used to receive liposuction depth, tissue pressure and imaging data transmitted by the liposuction cannula, generate real-time operation suggestions based on the pre-set safety parameters, and dynamically adjust the liposuction parameters based on the fat cell damage model. The safety parameters include a safe liposuction depth range and a pressure threshold, and the liposuction parameters include liposuction negative pressure and liposuction speed. The interactive interface displays real-time pressure curves, tissue images, and transplantation area planning maps via a touchscreen, and supports manual adjustment of navigation parameters, including safety parameters and liposuction parameters.

5. The precision liposuction cannula with force feedback function and the fat transplantation navigation system according to claim 4, characterized in that, The data processing platform's adipocyte damage model correlates real-time pressure data collected by pressure sensors with fat survival rate and calculates the real-time damage rate based on the adipocyte damage model. When the real-time pressure exceeds the preset first pressure threshold or the real-time damage rate exceeds the preset first damage threshold, suction is paused and a high-frequency vibration warning is initiated. When the real-time pressure exceeds the preset second pressure threshold or the real-time damage rate exceeds the preset second damage threshold, the liposuction negative pressure and liposuction speed are adjusted to the preset safe range, respectively.

6. The precision liposuction cannula with force feedback function and the fat transplantation navigation system according to claim 4, characterized in that, The three-dimensional navigation mesh projected by the body surface projection module contains layered color markers: When the liposuction depth is greater than or equal to the preset first depth threshold and less than or equal to the preset second depth threshold, it is in the safe operation zone and is displayed in green. When the liposuction depth is less than the preset first depth threshold or greater than the preset second depth threshold, it is in a high-risk zone and is displayed in red. The real-time position of the needle tip is displayed by overlaying a dynamic cursor.

7. The precision liposuction needle with force feedback function and the fat transplantation navigation system according to claim 2, characterized in that, The data from the micro-imaging module and pressure sensing module of the liposuction needle are synchronized via timestamps within the control unit to ensure that the matching accuracy error between the pressure value and the corresponding image frame is less than a preset error threshold.

8. The precision liposuction cannula with force feedback function and the fat transplantation navigation system according to claim 5, characterized in that, The calculation logic for the real-time damage rate is as follows: , For damage rate, Damage coefficient due to pressure change, For pressure time derivative, For pressure gradient damage coefficient, For pressure field Laplace operator.

9. The precision liposuction cannula with force feedback function and the fat transplantation navigation system according to claim 8, characterized in that, The pressure field Laplace operator The radial pressure distribution is acquired by collecting data from a needle-tip annular pressure sensor array. The calculation logic of the pressure field Laplace operator is as follows: , For sensor number index, For the first Real-time pressure values ​​from each sensor Reference pressure at the center of the needle tip This is the distance from the sensor to the center of the needle tip.

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