Assisted tightening of lower facial skin injection query handoff system and method

Abstract

The application relates to the technical field of medical cosmetology auxiliary systems, in particular to an auxiliary tightening lower face skin injection query handover system and method, which comprises a subcutaneous fiber separation net collection unit, a fiber separation mechanics analysis unit, a tightening vector generation unit, a handover display unit and an injection logic verification module. The auxiliary tightening lower face skin injection query handover system and method automatically generate a fracture risk thermal map to realize quantitative evaluation by collecting fiber separation density and elastic modulus through high-frequency ultrasound; an elastoplasticity model is built in to calculate the injection depth, dose and tightening direction of each point with the minimum tightening force; arc-shaped arrows are used to directly display the tightening range, direction, depth and dose, so that the cognitive load is reduced; meanwhile, the fiber separation damage and the risk of blood vessel embolism are prevented from the source by automatically checking and warning according to the fiber separation avoidance, volume upper limit and other rules.

Description

Technical Field

[0001] This application relates to the field of medical aesthetic auxiliary systems technology, and in particular to an injection query and transfer system and method for assisting in tightening lower facial skin. Background Technology

[0002] Sagging and drooping of the lower facial skin (including the jawline, corner of the mouth, and submental area) is a typical sign of facial aging. Its main anatomical basis lies in the loosening, rupture, or decreased elasticity of the subcutaneous fibrous network (also known as the skin ligaments or dermal support bands). This fibrous network is a network of connective tissue linking the skin to deep fascia (such as the periosteum and platysma fascia), playing a role in suspending and supporting the subcutaneous fat compartments. With age, photoaging, and the long-term effects of gravity, the elastic modulus of the fibrous network decreases, some fibers break, and its integrity is compromised, causing the fat compartments to shift outwards and downwards, resulting in a blurred jawline, corner of the mouth, and a double chin. Clinically, hyaluronic acid fillers, poly-L-lactic acid (PLLA), and collagen stimulants are commonly used to stimulate the thickening of the fibrous network or directly fill the loose areas, aiming to tighten the lower face and reshape the jawline. However, existing injection-assisted systems have the following unresolved technical problems when targeting the specific scenario of "tightening the lower facial skin fibrous network": First, current technology relies solely on doctors' palpation or visual inspection to assess skin laxity, making it impossible to quantitatively measure the density, integrity index, and elastic modulus distribution of the fibrous septum. For example, doctors struggle to answer questions such as, "What is the risk index of fibrous septum rupture in the corner pocket area? Which areas have already ruptured fibrous septa and require focused injection?" Due to the lack of objective quantification of the fibrous septum structure, doctors can only roughly select injection areas based on experience, resulting in a lack of targeted and precise injection plans. This can easily lead to problems such as inappropriate injection depth (too shallow and it won't reach the fibrous septum, too deep and it may damage blood vessels and nerves) or uneven dosage distribution. Secondly, ideally, lower face tightening injections should achieve this by diffusing the drug at specific points to restore the support of the loose fibrous septa, tightening the sagging subcutaneous tissue towards the periosteum (i.e., in a centripetal direction). However, existing systems only locate injection points based on static wrinkles or depressions, failing to establish a mechanical relationship model between the looseness of the fibrous septa and injection parameters (depth, dosage, angle, and drug diffusion pattern). For example, doctors struggle to determine the crucial question: "To tighten the fibrous septa in the mandibular region centripetally, at which anatomical level, what dosage, in what direction, and whether the drug should diffuse in a point, line, or mesh pattern?" Therefore, existing methods often suffer from insufficient dosage leading to insignificant results, or excessive dosage and incorrect diffusion patterns resulting in local unevenness, excessive tissue expansion, and other complications. Third, in lower face tightening injection protocols, each injection point needs not only clearly defined depth and dosage, but also crucial information such as the "tightening range" (i.e., the area affected by the drug), the "centripetal tightening direction" (i.e., the vector towards the periosteum or platysma fascia), and the "drug diffusion pattern" (e.g., clump-like, linear, or radial). Current handover methods still rely on textual records or static diagrams, failing to provide multi-dimensional visualization of injection points, tightening direction, tightening range, depth level, and diffusion pattern on real patient images. Nurses administering injections must repeatedly consult written tables, resulting in a heavy cognitive load and potential confusion regarding the tightening direction or diffusion pattern at different points, leading to incorrect drug injection depth or deviations from the expected tightening effect.

[0003] Fourth, the lower facial region has a complex anatomical structure, containing important structures such as the main fibrous septa (such as the mandibular ligament and zygomatic arch ligament), the mandibular branch of the facial artery, and the mental nerve. Current systems can only record the injection protocol and cannot proactively identify improper combinations such as "injection point too close to the main fibrous septa, potentially severing the septum," "excessive total dose in the submental fat compartment leading to over-expansion of the fat compartment," and "injection point too close to the mandibular branch of the facial artery causing vascular embolism." This "record-only, no-verification" model allows potential injection errors to easily pass through the handover process and be directly transmitted to the executing nurse, increasing the risk of adverse events such as local depressions, induration, hematomas, and even vascular embolism. Summary of the Invention

[0004] This application provides an auxiliary system and method for injecting and transferring skin to tighten the lower face, in order to improve the above-mentioned technical problems.

[0005] In a first aspect, this application provides an injection query and handover system for assisting in tightening lower facial skin, employing the following technical solution: A system for assisting in the injection and transfer of lower facial skin tightening, comprising: Subcutaneous fibrous septum acquisition unit: used to acquire subcutaneous fibrous septum structure data of the lower facial region of the patient, the data including at least the density, integrity index and elastic modulus distribution of the fibrous septum; Fiber diaphragm mechanical analysis unit: connected to the subcutaneous fiber diaphragm acquisition unit, used to calculate the tissue relaxation score, fiber diaphragm breakage risk index and centripetal tightening potential vector of at least one sub-region based on the fiber diaphragm structure data, wherein the centripetal tightening potential vector includes the optimal tightening direction and the expected tissue displacement. Tightening Vector Generation Unit: Connected to the fiber diaphragm mechanical analysis unit, it contains a fiber diaphragm elastoplastic model. This model takes the tissue relaxation score, fiber diaphragm fracture risk index, and centripetal tightening potential vector as input to simulate the mechanical conditions required to restore the support force of the fiber diaphragm and tighten the relaxed tissue toward the periosteum. Based on this, it generates tightening vectors for multiple injection points, where each tightening vector includes injection depth, injection dose, injection angle, and expected drug diffusion pattern. The handover and display unit is used to overlay and display the tightening vector graphics of each injection point on the three-dimensional surface model or real photograph of the patient. The graphics are arc-shaped arrows, the curvature of the arrow represents the tightening range, the direction of the arrow represents the centripetal tightening direction, the color of the arrow represents the injection depth level, and the thickness of the arrow represents the relative size of the injection dose. Injection logic verification module: It is connected to the tightening vector generation unit and the handover display unit respectively. It stores a subcutaneous fibrous septum safety rule library. The rule library includes at least fibrous septum avoidance rules, fat compartment volume limit rules, and vascular nerve avoidance rules. The module automatically verifies whether the tightening vector of each injection point conforms to the corresponding rule in the rule library, and generates a risk warning mark on the handover display unit when a violation is found.

[0006] In one feasible technical solution of this application, the subcutaneous fiber septum acquisition unit includes a high-frequency linear array ultrasound probe or an optical coherence tomography device for acquiring the orientation, continuity and elastic modulus of the fiber septum within the subcutaneous fat layer; the fiber septum mechanical analysis unit automatically identifies the fracture area and weak area of ​​the fiber septum through an image segmentation algorithm and outputs a fiber septum integrity thermal map.

[0007] In one feasible technical solution of this application, the elastoplastic model of the fiber mesh is a nonlinear viscoelastic-plastic constitutive model, and its input parameters also include the patient's age, BMI and skin gloss index; the model outputs the minimum tightening force vector set required to restore the equivalent strain of the fiber mesh to below the physiological threshold through finite element iterative calculation, and then converts the minimum tightening force vector set into the injection depth, injection dose and injection angle of each injection point.

[0008] In one feasible technical solution of this application, the arc-shaped arrow in the handover display unit is set as follows: the tail of the arrow is positioned at the skin surface projection point of the injection point, the bending direction of the arrow is towards the periosteum anchor point, and the curvature of the arrow is positively correlated with the tightening range; the correspondence between the color of the arrow and the injection depth level is as follows: the first color represents the injection depth on the periosteum, the second color represents the deep fat injection depth, and the third color represents the superficial subcutaneous injection depth; the thickness of the arrow is positively correlated with the injection dose and is rendered using three-dimensional cone rendering.

[0009] In one feasible technical solution of this application, the handover display unit also has a tightening dynamic simulation function: the operator can play a comparison animation of the tightening of the patient's lower facial skin before and after injection. The animation is generated based on the stress-strain changes of the fiber mesh before and after injection, and is used to show the patient the expected improvement effect on the mandibular contour before injection.

[0010] In one feasible technical solution of this application, the subcutaneous fiber septum safety rule base in the injection logic verification module specifically includes: For the fibrous septum avoidance rules in the mandibular region: the distance between the injection point and the main fibrous septum should not be less than 3mm, and the injection depth should not exceed the deep fat layer to avoid cutting the fibrous septum; The upper limit rule for the volume of fat compartments in the submental region is as follows: the total injection dose in a single submental fat compartment shall not exceed 3 mL of filler equivalent, and the distance between adjacent injection points shall not be less than 8 mm to avoid excessive expansion of the fat compartment; The rules for avoiding blood vessels and nerves in the corner pocket area are as follows: the distance between the injection point and the projection of the mandibular branch of the facial artery should not be less than 5 mm, and the injection angle should be 30° to 45° with the skin surface. For thickening of the fibrous septum at the upper edge of the platysma muscle: the injection depth is controlled between the subcutaneous fat layer and the platysma fascia, and the drug diffusion pattern is linear diffusion to thicken along the course of the fibrous septum.

[0011] In one feasible technical solution of this application, an ultrasound elastography unit is also included. This unit is connected to the subcutaneous fiber mesh acquisition unit and is used to acquire the dynamic strain distribution of the fiber mesh in real time when the patient performs standard actions such as raising his head and opening his mouth. The dynamic strain data is then transmitted to the fiber mesh mechanical analysis unit to update the fiber mesh breakage risk index.

[0012] In one feasible technical solution of this application, the ultrasonic elastography unit includes a handheld ultrasonic probe and a strain calculation module. The handheld ultrasonic probe is used to emit shear waves and detect the shear wave velocity of the fiber separator. The strain calculation module calculates the local elastic modulus and fracture prediction probability of the fiber separator based on the shear wave velocity. The fiber separator mechanical analysis unit integrates static structural data and dynamic elastic data to calculate the centripetal tightening potential vector.

[0013] In one feasible technical solution of this application, the risk warning sign adopts one or more of the following forms: superimposing a red warning ring around the tightened vector graphic of the illegal injection point, changing the color of the arc arrow of the point to a warning color, or popping up a correction guidance window at the edge of the handover display unit, wherein the correction guidance window displays the specific violated safety rule entries and the recommended injection point offset direction and offset distance.

[0014] Secondly, this application provides a method for assisting in tightening lower facial skin through injection, employing the following technical solution: A method for assisting in tightening lower facial skin through injection inquiries, applied to the aforementioned system, includes the following steps: Structural data acquisition steps: Collect subcutaneous fibrous septum structure data of the lower facial region of the patient. The data shall include at least the density, integrity index and elastic modulus distribution of the fibrous septa. Mechanical analysis steps: Based on the fiber mesh structure data, calculate the tissue relaxation score, fiber mesh breakage risk index, and centripetal tightening potential vector of at least one sub-region. In addition, the dynamic strain distribution of the fiber mesh is collected in real time by the ultrasound elastography unit when the patient performs standard movements such as raising head and opening mouth. By fusing the static fiber mesh structure data and the dynamic strain distribution data, the fiber mesh breakage risk index and centripetal tightening potential vector are calculated. Tightening vector generation step: Input the tissue relaxation score, fiber septum breakage risk index and centripetal tightening potential vector into the fiber mesh elastoplastic model to simulate the mechanical conditions required to restore the support force of the fiber mesh and generate tightening vectors for multiple injection points. Each tightening vector includes injection depth, injection dose, injection angle and expected drug diffusion pattern. Handover and display steps: On the three-dimensional surface model or real photo of the patient, overlay and display the tightening vector graphics of each injection point. The graphics are arc-shaped arrows, the curvature of the arrow represents the tightening range, the direction of the arrow represents the centripetal tightening direction, the color of the arrow represents the injection depth level, and the thickness of the arrow represents the relative size of the injection dose. Logical verification steps: Based on the pre-stored subcutaneous fiber septum safety rule library, automatically verify whether the tightening vector of each injection point meets the rules. If the verification passes, the injection plan is confirmed. If a violation is found, a risk warning sign is generated in the handover and display step.

[0015] In summary, this application includes at least one of the following beneficial technical effects: This system enables quantitative assessment of the mechanical integrity of the subcutaneous fibrous septum, reducing reliance on subjective experience. The density, integrity index, and elastic modulus distribution of the septum are acquired through a subcutaneous fibrous septum acquisition unit. Combined with a fibrous septum mechanical analysis unit, it automatically calculates tissue relaxation scores, septum breakage risk indices, and centripetal tightening potential vectors. This transforms traditional qualitative judgments based on palpation or visual inspection into quantifiable mechanical parameters, allowing doctors to clearly identify "where the highest breakage risk is and how much elastic reserve remains in the septum." This provides an objective and repeatable basis for injection planning, avoiding inappropriate injection depth or uneven dosage distribution caused by differences in doctor experience. A fiber septum elastoplastic model is established to achieve the scientific generation of centripetal tightening vectors: The tightening vector generation unit incorporates a fiber septum elastoplastic model, using tissue relaxation score, fiber septum fracture risk index, and centripetal tightening potential vector as inputs. It simulates the mechanical conditions required to restore the fiber septum's support force and tighten relaxed tissue towards the periosteum, thereby generating a tightening vector that includes injection depth, dosage, angle, and drug diffusion pattern. By mechanically correlating fiber septum relaxation with injection parameters, the centripetal tightening direction, tightening range, and drug diffusion pattern can be scientifically designed, effectively solving the problems of insufficient dosage and poor effect, or excessive dosage and incorrect diffusion pattern leading to unevenness, caused by the lack of a mechanical model in existing technologies. It provides an intuitive and standardized centripetal tightening vector handover display method, reducing the cognitive load of operation: The handover display unit displays the tightening vector of each injection point in the form of arc-shaped arrows superimposed on the patient's 3D surface model or real photograph. The curvature of the arrow represents the tightening range, the direction represents the centripetal tightening direction, the color represents the injection depth level, and the thickness represents the relative dose. This multi-dimensional visualization replaces traditional text records or static diagrams, enabling operating nurses to clearly grasp the tightening direction, tightening range, depth, and dose of each point at a glance, significantly reducing cognitive load and avoiding incorrect drug injection levels or deviations from expected tightening effects due to information confusion. Adaptive safety verification of injection protocols prevents adverse events such as fibrous septum damage from the outset: The injection logic verification module incorporates a subcutaneous fibrous septum safety rule library, including fibrous septum avoidance rules, fat compartment volume limit rules, and vascular and nerve avoidance rules. It can automatically verify whether the tightening vector at each injection point conforms to the rules and generate a risk warning icon when a violation is detected. This proactively identifies violation combinations such as "injection point too close to the main fibrous septum may sever the fibrous septum," "too large total dose in the submental fat compartment leading to over-expansion," and "injection point too close to the mandibular branch of the facial artery causing vascular embolism." By preventing adverse events such as local depression, induration, hematoma, and even vascular embolism from the protocol design stage, it significantly improves the safety of lower face tightening injection treatment. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the functional modules of the auxiliary lower facial skin tightening injection query and handover system according to an embodiment of this application.

[0018] Explanation of reference numerals in the attached figures: 1. Subcutaneous fiber mesh acquisition unit; 2. Fiber mesh mechanical analysis unit; 3. Tightening vector generation unit; 4. Handover display unit; 5. Injection logic verification module; 6. Ultrasonic elastography unit. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application.

[0020] Definitions of terms that need to be explained in advance: When a component is referred to as being "fixed to" or "set on" another component, it can be directly on the other component or indirectly on that other component; When a component is referred to as being "connected to" another component, it can be directly or indirectly connected to that other component; The terms “length”, “width”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inner”, “outer”, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the attached drawings, and are only for the convenience of description, and do not indicate or imply that there must be a specific orientation. The terms “first” and “second” are used only to distinguish different components and do not indicate importance or quantity. Unless otherwise expressly defined, “multiple” means two or more.

[0021] The following is in conjunction with the appendix Figure 1 This application will be described in further detail.

[0022] Reference Figure 1 This embodiment provides an auxiliary system for inquiring about and transferring injections to tighten lower facial skin, including: Subcutaneous fibrous septum acquisition unit 1: used to acquire subcutaneous fibrous septum structure data of the lower facial region of the patient, the data including at least the density, integrity index and elastic modulus distribution of the fibrous septum; Fiber diaphragm mechanical analysis unit 2: connected to subcutaneous fiber diaphragm acquisition unit 1, used to calculate the tissue relaxation score, fiber diaphragm breakage risk index and centripetal tightening potential vector of at least one sub-region based on fiber diaphragm structure data, wherein the centripetal tightening potential vector includes the optimal tightening direction and the expected tissue displacement. Tightening Vector Generation Unit 3: Connected to Fiber Mechanics Analysis Unit 2, it contains a fiber mesh elastoplastic model. This model takes tissue relaxation score, fiber mesh fracture risk index and centripetal tightening potential vector as input to simulate the mechanical conditions required to restore the support force of the fiber mesh and tighten the relaxed tissue toward the periosteum. Based on this, it generates tightening vectors for multiple injection points, where each tightening vector includes injection depth, injection dose, injection angle and expected drug diffusion pattern. Handover and display unit 4: Used to overlay and display the tightening vector graphics of each injection point on the three-dimensional surface model or real photo of the patient. The graphics are arc arrows, the curvature of the arrow represents the tightening range, the direction of the arrow represents the centripetal tightening direction, the color of the arrow represents the injection depth level, and the thickness of the arrow represents the relative size of the injection dose. Injection logic verification module 5: It is connected to tightening vector generation unit 3 and handover display unit 4 respectively. It stores a subcutaneous fibrous septum safety rule library. The rule library includes at least fibrous septum avoidance rules, fat chamber volume limit rules, and vascular nerve avoidance rules. This module automatically verifies whether the tightening vector of each injection point conforms to the corresponding rules in the rule library, and generates a risk warning mark on the handover display unit 4 when a violation is found.

[0023] The beneficial effects of the lower facial skin tightening injection query and handover system in this embodiment are: This system enables quantitative assessment of the mechanical integrity of the subcutaneous fibrous septum, reducing reliance on subjective experience. The density, integrity index, and elastic modulus distribution of the fibrous septum are acquired through the subcutaneous fibrous septum acquisition unit 1. Combined with the fibrous septum mechanical analysis unit 2, it automatically calculates the tissue relaxation score, fibrous septum breakage risk index, and centripetal tightening potential vector. This transforms traditional qualitative judgments based on palpation or visual inspection into quantifiable mechanical parameters, allowing doctors to clearly identify "where the highest breakage risk is and how much elastic reserve remains in the fibrous septum." This provides an objective and repeatable basis for injection planning, avoiding inappropriate injection depth or uneven dosage distribution caused by differences in experience among doctors. A fiber septum elastoplastic model is established to achieve the scientific generation of centripetal tightening vectors: The tightening vector generation unit 3 incorporates a fiber septum elastoplastic model, using tissue relaxation score, fiber septum fracture risk index, and centripetal tightening potential vector as inputs. It simulates the mechanical conditions required to restore the fiber septum's support force and tighten the relaxed tissue towards the periosteum, thereby generating a tightening vector that includes injection depth, dosage, angle, and drug diffusion pattern. By mechanically correlating fiber septum relaxation with injection parameters, the centripetal tightening direction, tightening range, and drug diffusion pattern can be scientifically designed, effectively solving the problems of insufficient dosage and poor effect, or excessive dosage and incorrect diffusion pattern leading to unevenness, caused by the lack of a mechanical model in existing technologies. It provides an intuitive and standardized centripetal tightening vector handover display method, reducing the cognitive load of operation: The handover display unit 4 displays the tightening vector of each injection point in the form of arc-shaped arrows superimposed on the patient's three-dimensional surface model or actual photograph. The curvature of the arrow represents the tightening range, the direction represents the centripetal tightening direction, the color represents the injection depth level, and the thickness represents the relative dose. This multi-dimensional visualization replaces the traditional text record or static diagram, enabling the operating nurse to clearly grasp the tightening direction, tightening range, depth, and dose of each point at a glance, significantly reducing the cognitive load and avoiding incorrect drug injection levels or deviations from the expected tightening effect due to information confusion. Adaptive safety verification of the injection protocol prevents adverse events such as fibrous septum damage from the source: The injection logic verification module 5 incorporates a subcutaneous fibrous septum safety rule library, including fibrous septum avoidance rules, fat compartment volume limit rules, and vascular and nerve avoidance rules. It can automatically verify whether the tightening vector of each injection point conforms to the rules and generate a risk warning sign when a violation is detected. This proactively identifies combinations of violations such as "injection point too close to the main fibrous septum may cut the fibrous septum", "too large total dose in the submental fat compartment leading to over-expansion", and "injection point too close to the mandibular branch of the facial artery causing vascular embolism". It prevents adverse events such as local depression, induration, hematoma, and even vascular embolism from the protocol design stage, significantly improving the safety of lower face tightening injection treatment.

[0024] Specifically, the subcutaneous fibrous septum acquisition unit 1 includes a high-frequency linear array ultrasound probe or optical coherence tomography device, used to acquire the orientation, continuity and elastic modulus of the fibrous septum in the subcutaneous fat layer; the fibrous septum mechanical analysis unit 2 automatically identifies the fracture area and weak area of ​​the fibrous septum through image segmentation algorithm and outputs a thermal map of the integrity of the fibrous septum.

[0025] During the procedure, the doctor holds a high-frequency linear array ultrasound probe (12-18MHz) and gently touches the patient's mandibular border, oral sac, and submental area. The probe slowly slides along the natural course of the fibrous septa, acquiring real-time two-dimensional grayscale images and shear wave elasticity images. The system's built-in image segmentation algorithm (based on a U-Net neural network) automatically labels continuous fibrous septa (green), locally weak areas (yellow), and completely broken areas (red), generating a semi-transparent heat map on a three-dimensional model. This allows the doctor to visually see where the fibrous septa have broken and where there is still elastic reserve, avoiding blind injection.

[0026] Furthermore, the elastoplastic model of the fiber mesh is a nonlinear viscoelastic-plastic constitutive model, and its input parameters also include the patient's age, BMI, and skin gloss index. The model outputs the minimum tightening force vector set required to restore the equivalent strain of the fiber mesh to below the physiological threshold through finite element iterative calculation. Then, the minimum tightening force vector set is converted into the injection depth, injection dose, and injection angle of each injection point.

[0027] The software pre-constructs a multi-layer finite element mesh of the lower facial soft tissues (skin-subcutaneous fat-fibrous septa-platysma-periosteum). The patient's age, BMI, and skin gloss index are input as correction coefficients into the model. For example, for every 10-year increase in age, the yield stress of the fibrous septa decreases by 15%; for every 5-point increase in BMI, the viscosity coefficient of the fat layer increases by 10%. The model uses the current fracture distribution of the fibrous septa as the initial damage field and the physiological strain threshold of intact fibrous septa (<15%) as the convergence target. The minimum tightening force, calculated through Newton-Raphson iteration, is precisely what brings the strain at all fracture points back below the threshold. Finally, based on the magnitude and direction of the force vector, the injection parameters for each point are converted using a regression formula (0.5N ≈ 0.1mL filler, depth taken as the average value of the sublayer fat at the point of force application). This calculated dosage is the minimum "just enough" value, avoiding local swelling or induration caused by over-injection.

[0028] The curved arrows in the handover display unit 4 are set as follows: the tail of the arrow is positioned at the skin surface projection point of the injection point, the direction of the arrow's curvature is towards the periosteum anchor point, and the curvature of the arrow is positively correlated with the tightening range; the color of the arrow corresponds to the injection depth level as follows: the first color represents the injection depth on the periosteum, the second color represents the deep fat injection depth, and the third color represents the superficial subcutaneous injection depth; the thickness of the arrow is positively correlated with the injection dosage and is rendered using three-dimensional cones.

[0029] During rendering, the software first projects a ray backward from the subcutaneous target depth at the injection point onto the skin surface as the arrow's starting point. Then, it calculates a Bézier curve from the starting point to the nearest anchor point on the periosteum. The curvature of the curve is determined by the tightening range—the larger the range, the more curved the arc. Colors are achieved using a preset three-color mapping: deep red for the periosteum (≥10mm), orange for deep fat (5-10mm), and light yellow for superficial subcutaneous tissue (<5mm). Arrow thickness is achieved using a 3D cone model, with a cone base radius of 1mm for a dose of 0.5ml and 2mm for 1.0ml, using linear interpolation. Nurses can easily determine the injection depth by the arrow color, the dosage by the thickness, and the tightening direction by the curvature and direction, without needing to consult written records.

[0030] Preferably, the handover and display unit 4 also has a tightening dynamic simulation function: the operator can play a comparison animation of the tightening of the patient's lower facial skin before and after injection. The animation is generated based on the stress-strain changes of the fiber mesh before and after injection, and is used to show the patient the expected improvement effect on the mandibular contour before injection.

[0031] The system utilizes the collected data on the fracture distribution of the fibrous mesh to generate a finite element deformation simulation animation of the current state—demonstrating the downward displacement of the mandibular skin when the patient tilts their head back and opens their mouth. Then, the minimum tightening force output from the tightening vector generation unit 3 is applied to the model to simulate the state where the stress-strain of the fibrous mesh returns to normal after injection, generating another animation. When the operator clicks the "play" button, two animations are displayed side-by-side on the screen: the left is "before injection," and the right is "after injection." The patient can visually see the effect of a clearer mandibular line and a lifted corner of the mouth. This function is very useful during preoperative communication, allowing patients to clearly understand the changes the treatment will bring, effectively reducing postoperative dissatisfaction rates.

[0032] In this embodiment, the subcutaneous fiber septum safety rule base in the injection logic verification module 5 specifically includes: For the fibrous septum avoidance rules in the mandibular region: the distance between the injection point and the main fibrous septum should not be less than 3mm, and the injection depth should not exceed the deep fat layer to avoid cutting the fibrous septum; The upper limit rule for the volume of fat compartments in the submental region is as follows: the total injection dose in a single submental fat compartment shall not exceed 3 mL of filler equivalent, and the distance between adjacent injection points shall not be less than 8 mm to avoid excessive expansion of the fat compartment; The rules for avoiding blood vessels and nerves in the corner pocket area are as follows: the distance between the injection point and the projection of the mandibular branch of the facial artery should not be less than 5 mm, and the injection angle should be 30° to 45° with the skin surface. For thickening of the fibrous septum at the upper edge of the platysma muscle: the injection depth is controlled between the subcutaneous fat layer and the platysma fascia, and the drug diffusion pattern is linear diffusion to thicken along the course of the fibrous septum.

[0033] When the verification module runs in the background, it first automatically identifies the main fibrous septum (such as the mandibular ligament), the course of the mandibular branch of the facial artery, the boundary of the submental fat compartment, and the fascial plane of the upper border of the platysma muscle from the 3D model. For each injection point, it calculates the vertical distance to the main fibrous septum; if it is less than 3mm, a red warning is triggered: "Possible septal rupture." The total dose of all points in the ipsilateral submental fat compartment is accumulated; if it exceeds 3mL, a warning pops up: "Risk of excessive expansion of the fat compartment." The shortest distance from the injection point to the projection line of the facial artery is calculated; if it is less than 5mm and the angle is not within the 30-45° range, an alarm is triggered. For the upper border area of ​​the platysma muscle, it checks whether the injection depth is exactly between the subcutaneous fat layer and the platysma fascia, and confirms that the drug diffusion pattern is set to "linear diffusion." This set of rules is equivalent to an experienced anatomist checking each step in the background, blocking all common injection pitfalls.

[0034] The system also includes an ultrasound elastography unit 6, which is connected to the subcutaneous fiber mesh acquisition unit 1. This unit is used to acquire the dynamic strain distribution of the fiber mesh in real time when the patient performs standard actions such as raising their head and opening their mouth, and transmits the dynamic strain data to the fiber mesh mechanical analysis unit 2 to update the fiber mesh breakage risk index.

[0035] In practice, the patient is instructed to perform actions such as tilting their head back (exposing the submental region) and opening their mouth (stretching the skin along the mandibular border), while the ultrasound elastography unit 6 continuously acquires images. Dynamic strain distribution data records the elongation of the septum under tension and the local strain concentration. For example, a septum that appears "slightly weak" statically may become "significantly at risk of breakage" when tilting the head back. The mechanical analysis unit overlays the dynamic strain data with the static integrity heatmap and recalculates the breakage risk index for each region. This method can identify functionally weak areas missed during static examination—some septa may appear fine on ultrasound while lying down, but crack when the patient tilts their head back; dynamic acquisition can capture this precisely.

[0036] The ultrasonic elastography unit 6 includes a handheld ultrasonic probe and a strain calculation module. The handheld ultrasonic probe is used to emit shear waves and detect the shear wave velocity of the fiber separator. The strain calculation module calculates the local elastic modulus and fracture prediction probability of the fiber separator based on the shear wave velocity. The fiber separator mechanical analysis unit 2 integrates static structural data and dynamic elastic data to calculate the centripetal tightening potential vector.

[0037] A handheld probe is attached to the skin surface and automatically emits shear waves at a frequency of approximately 100Hz. By detecting the propagation speed of the shear waves within the fibrous septa (in m / s), the strain calculation module uses the formula E=3ρv² (ρ being the tissue density, approximately 1000 kg / m³) to calculate the local elastic modulus (in kPa). The normal elastic modulus of a fibrous septum is approximately 30-50 kPa; below 20 kPa is considered a high risk of fracture. A fusion algorithm performs pixel-level fusion between the fractured areas (red) segmented from the static image and the dynamic elastic modulus distribution (color overlay), resulting in a three-dimensional "centripetal tightening potential field"—areas with lower elastic modulus and more concentrated fracture areas have greater tightening potential and require focused injection. This allows doctors to clearly determine "where injection is most needed and how much is most appropriate."

[0038] Furthermore, the risk warning sign adopts one or more of the following forms: overlaying a red warning ring around the tightened vector graphic of the violation injection point, changing the color of the arc arrow at the point to a warning color, or popping up a correction guidance window at the edge of the handover display unit 4, which displays the specific violated safety rule entries and the recommended injection point offset direction and offset distance.

[0039] Once the verification module detects a violation, the handover display unit 4 responds immediately. A red warning ring appears as a semi-transparent red circle, flashing twice per second, surrounding the arc-shaped arrow at the violation point. Simultaneously, the arrow's original color (red / orange / yellow) is forcibly replaced with bright red (RGB255,0,0). A non-modal window pops up on the right side of the screen, displaying a message such as: "Violation of mandibular border fibrous septum avoidance rule: Injection point is only 2mm from the main fibrous septum (must be ≥3mm). It is recommended to offset downwards and outwards by 1.5mm." A miniature diagram showing the relative positions of the current and recommended points is also provided. The doctor simply adjusts according to the prompts, and the warning disappears automatically after a second successful verification. This method not only tells you "there is a problem" but also directly tells you "how to correct it," saving significant correction time.

[0040] This application also provides an auxiliary method for tightening lower facial skin via injection, applied to the aforementioned system, comprising the following steps: Structural data acquisition steps: Collect subcutaneous fibrous septum structural data of the patient's lower facial region. The data should include at least the density, integrity index, and elastic modulus distribution of the fibrous septa. Mechanical analysis steps: Based on the fiber mesh structure data, calculate the tissue relaxation score, fiber mesh breakage risk index, and centripetal tightening potential vector of at least one sub-region. In addition, the dynamic strain distribution of the fiber mesh is collected in real time by the ultrasound elastography unit 6 when the patient performs standard movements such as raising head and opening mouth. By fusing the static fiber mesh structure data and the dynamic strain distribution data, the fiber mesh breakage risk index and centripetal tightening potential vector are calculated. Tightening vector generation steps: Input the tissue relaxation score, fiber septum breakage risk index and centripetal tightening potential vector into the fiber mesh elastoplastic model to simulate the mechanical conditions required to restore the support force of the fiber mesh and generate tightening vectors for multiple injection points. Each tightening vector includes the injection depth, injection dose, injection angle and expected drug diffusion pattern. Handover and demonstration steps: Overlay and display the tightening vector graphics of each injection point on the patient's three-dimensional surface model or real photo. The graphics are arc-shaped arrows. The curvature of the arrow represents the tightening range, the direction of the arrow represents the centripetal tightening direction, the color of the arrow represents the injection depth level, and the thickness of the arrow represents the relative size of the injection dose. Logical verification steps: Based on the pre-stored subcutaneous fiber septum safety rule library, automatically verify whether the tightening vector of each injection point meets the rules. If the verification passes, the injection plan is confirmed. If a violation is found, a risk warning sign is generated in the handover and display step.

[0041] The above method can be integrated into a medical workstation with a touchscreen, along with a handheld high-frequency ultrasound probe and a structured light camera. The operation process is as follows: First, the structured light camera acquires a 3D model of the patient's face. Then, the ultrasound probe scans the mandibular border, submental region, and oral sac area, and the software automatically generates a thermal map of fibrous septum integrity. Next, the patient performs head tilting and mouth opening movements, and the probe dynamically captures strain data. The system then fuses this data and outputs a fracture risk index and a tightening potential vector. Clicking "Generate Tightening Vector" completes finite element iterative calculations within 2 seconds, marking the tightening direction, range, depth, and dosage of all injection points on the image with arc-shaped arrows. The doctor can manually fine-tune the arrow curvature or thickness, and the system automatically recalibrates after each adjustment. Finally, the plan is confirmed and exported to an electronic injector. The entire process is shortened from 10-15 minutes in traditional manual planning to about 3 minutes, and each point has clear mechanical basis and visual guidance, allowing even novice doctors to quickly get started.

[0042] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A system for assisting in the injection and transfer of information to tighten lower facial skin, characterized in that, include: Subcutaneous fibrous septum acquisition unit (1): used to acquire subcutaneous fibrous septum structure data of the lower facial region of the patient, the data including at least the density, integrity index and elastic modulus distribution of the fibrous septum; Fiber diaphragm mechanical analysis unit (2): connected to the subcutaneous fiber diaphragm acquisition unit (1), used to calculate the tissue relaxation score, fiber diaphragm breakage risk index and centripetal tightening potential vector of at least one sub-region based on the fiber diaphragm structure data, wherein the centripetal tightening potential vector includes the optimal tightening direction and the expected tissue displacement. Tightening Vector Generation Unit (3): Connected to the fiber diaphragm mechanical analysis unit (2), it has a fiber diaphragm elastic-plastic model inside. The model takes the tissue relaxation score, fiber diaphragm fracture risk index and centripetal tightening potential vector as input to simulate the mechanical conditions required to restore the support force of the fiber diaphragm and tighten the relaxed tissue toward the periosteum. Based on this, it generates tightening vectors for multiple injection points, where each tightening vector includes injection depth, injection dose, injection angle and expected drug diffusion pattern. The handover display unit (4) is used to overlay and display the tightening vector graphics of each injection point on the three-dimensional surface model or real photograph of the patient. The graphics are arc arrows, the arc of the arrow represents the tightening range, the direction of the arrow represents the centripetal tightening direction, the color of the arrow represents the injection depth level, and the thickness of the arrow represents the relative size of the injection dose. Injection logic verification module (5): It is connected to the tightening vector generation unit (3) and the handover display unit (4) respectively. It stores a subcutaneous fibrous septum safety rule library. The rule library includes at least the fibrous septum avoidance rule, the fat chamber volume limit rule and the blood vessel and nerve avoidance rule. The module automatically verifies whether the tightening vector of each injection point conforms to the corresponding rule in the rule library, and generates a risk warning mark on the handover display unit (4) when a violation is found.

2. The injection query and handover system for assisting in tightening lower facial skin according to claim 1, characterized in that, The subcutaneous fiber septum acquisition unit (1) includes a high-frequency linear array ultrasound probe or optical coherence tomography device for acquiring the orientation, continuity and elastic modulus of the fiber septum in the subcutaneous fat layer; the fiber septum mechanical analysis unit (2) automatically identifies the fracture area and weak area of ​​the fiber septum through image segmentation algorithm and outputs a fiber septum integrity thermal map.

3. The injection query and handover system for assisting in tightening lower facial skin according to claim 1, characterized in that, The fiber mesh elastoplastic model is a nonlinear viscoelastic-plastic constitutive model. Its input parameters also include the patient's age, BMI, and skin gloss index. The model outputs the minimum tightening force vector set required to restore the equivalent strain of the fiber mesh to below the physiological threshold through finite element iterative calculation. Then, the minimum tightening force vector set is converted into the injection depth, injection dose, and injection angle of each injection point.

4. The injection query and handover system for assisting in tightening lower facial skin according to claim 1, characterized in that, The arc-shaped arrows in the handover display unit (4) are set as follows: the tail of the arrow is positioned at the skin surface projection point of the injection point, the bending direction of the arrow is towards the periosteum anchor point, and the curvature of the arrow is positively correlated with the tightening range; the color of the arrow corresponds to the injection depth level as follows: the first color represents the injection depth on the periosteum, the second color represents the deep fat injection depth, and the third color represents the superficial subcutaneous injection depth; the thickness of the arrow is positively correlated with the injection dose and is rendered using three-dimensional cone rendering.

5. The injection query and handover system for assisting in tightening lower facial skin according to claim 1, characterized in that, The handover display unit (4) also has a tightening dynamic simulation function: the operator can play a comparison animation of the tightening of the patient's lower facial skin before and after injection. The animation is generated based on the stress-strain changes of the fiber mesh before and after injection, and is used to show the patient the expected improvement effect of the mandibular contour before injection.

6. The injection query and handover system for assisting in tightening lower facial skin according to claim 1, characterized in that, The subcutaneous fibrous septum safety rule base in the injection logic verification module (5) specifically includes: For the fibrous septum avoidance rules in the mandibular region: the distance between the injection point and the main fibrous septum should not be less than 3mm, and the injection depth should not exceed the deep fat layer to avoid cutting the fibrous septum; The upper limit rule for the volume of fat compartments in the submental region is as follows: the total injection dose in a single submental fat compartment shall not exceed 3 mL of filler equivalent, and the distance between adjacent injection points shall not be less than 8 mm to avoid excessive expansion of the fat compartment; The rules for avoiding blood vessels and nerves in the corner pocket area are as follows: the distance between the injection point and the projection of the mandibular branch of the facial artery should not be less than 5 mm, and the injection angle should be 30° to 45° with the skin surface. For thickening of the fibrous septum at the upper edge of the platysma muscle: the injection depth is controlled between the subcutaneous fat layer and the platysma fascia, and the drug diffusion pattern is linear diffusion to thicken along the course of the fibrous septum.

7. The auxiliary lower facial skin tightening injection query and handover system according to claim 1, characterized in that, It also includes an ultrasound elastography unit (6), which is connected to the subcutaneous fiber mesh acquisition unit (1) to collect the dynamic strain distribution of the fiber mesh in real time when the patient performs standard actions such as raising his head and opening his mouth, and transmit the dynamic strain data to the fiber mesh mechanical analysis unit (2) to update the fiber mesh breakage risk index.

8. The injection query and handover system for assisting in tightening lower facial skin according to claim 7, characterized in that, The ultrasonic elastography unit (6) includes a handheld ultrasonic probe and a strain calculation module. The handheld ultrasonic probe is used to emit shear waves and detect the shear wave velocity of the fiber separator. The strain calculation module calculates the local elastic modulus and fracture prediction probability of the fiber separator based on the shear wave velocity. The fiber separator mechanical analysis unit (2) integrates static structural data and dynamic elastic data to calculate the centripetal tightening potential vector.

9. The injection query and handover system for assisting in tightening lower facial skin according to claim 1, characterized in that, The risk warning sign shall take one or more of the following forms: superimposing a red warning ring around the tightened vector graphic of the illegal injection point, changing the color of the arc arrow of the point to a warning color, or popping up a correction guide window at the edge of the handover display unit (4), wherein the correction guide window displays the specific violation of safety rules and the recommended injection point offset direction and offset distance.

10. A method for assisting in tightening lower facial skin via injection, applied to the system according to any one of claims 1 to 9, characterized in that, Includes the following steps: Structural data acquisition steps: Collect subcutaneous fibrous septum structure data of the lower facial region of the patient. The data shall include at least the density, integrity index and elastic modulus distribution of the fibrous septa. Mechanical analysis steps: Calculate the tissue relaxation score, fiber septum breakage risk index and centripetal tightening potential vector of at least one sub-region based on the fiber mesh structure data, and collect the dynamic strain distribution of the fiber mesh in real time when the patient is performing standard actions such as raising head and opening mouth through the ultrasound elastography unit (6). Combine the static fiber mesh structure data and dynamic strain distribution data to calculate the fiber septum breakage risk index and centripetal tightening potential vector. Tightening vector generation step: Input the tissue relaxation score, fiber septum breakage risk index and centripetal tightening potential vector into the fiber mesh elastoplastic model to simulate the mechanical conditions required to restore the support force of the fiber mesh and generate tightening vectors for multiple injection points. Each tightening vector includes injection depth, injection dose, injection angle and expected drug diffusion pattern. Handover and display steps: On the three-dimensional surface model or real photo of the patient, overlay and display the tightening vector graphics of each injection point. The graphics are arc-shaped arrows, the curvature of the arrow represents the tightening range, the direction of the arrow represents the centripetal tightening direction, the color of the arrow represents the injection depth level, and the thickness of the arrow represents the relative size of the injection dose. Logical verification steps: Based on the pre-stored subcutaneous fiber septum safety rule library, automatically verify whether the tightening vector of each injection point meets the rules. If the verification passes, the injection plan is confirmed. If a violation is found, a risk warning sign is generated in the handover and display step.

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