Comprehensive plastic treatment management system and management method thereof

Abstract

The invention relates to the technical field of treatment management, in particular to a comprehensive plastic treatment management system which comprises a hyaluronic acid coordinate prediction module, a current hyaluronic acid coordinate detection module, a coordinate parameter calculation module and a recovery time prediction module. And then predicting the prediction time of restoring hyaluronic acid to the prediction coordinate in the hyaluronic acid coordinate prediction module through the deviation value and the recovery speed, along with continuous input of new review coordinates, namely generation of new change values and deviation values, the module can dynamically update the prediction time, and after each review, the recovery speed is calculated again and the deviation value is adjusted again, so that the recovery speed of hyaluronic acid is recovered to the prediction coordinate in the hyaluronic acid coordinate prediction module. Therefore, the prediction time is corrected, the prediction result is closer to the actual recovery process, prospective information is provided for doctors, and the doctors can plan treatment intervention measures in advance.

Description

Technical Field

[0001] The present invention relates to the technical field of treatment management, and in particular, to a comprehensive plastic surgery treatment management system and its management method. Background Art

[0002] In the modern plastic surgery and beauty field, hyaluronic acid injection, as a common minimally invasive plastic surgery method, is widely used. However, different patients show significant individual recovery differences after hyaluronic acid injection, which is affected by a variety of complex interacting factors, including but not limited to the patient's age, basal metabolic rate, overall health status, lifestyle (such as diet, exercise, sleep habits), and the physiological characteristics of the injection site (such as blood circulation status, tissue density), etc.; After injecting hyaluronic acid into the chin of a plastic surgery patient, it is crucial to accurately master the recovery time after hyaluronic acid injection. In the absence of calculating the recovery time, it is difficult for doctors to accurately determine the stage of achieving the treatment effect and the final presented form. For example, in facial contour shaping, unable to determine the time point when the hyaluronic acid in the chin or cheek reaches a stable state will lead to misjudgment of the success of the treatment, and thus affect subsequent treatment decisions, such as whether additional injections or repair measures are needed. Summary of the Invention

[0003] The present invention provides a comprehensive plastic surgery treatment management system and its management method, aiming to solve the problem that the recovery time of hyaluronic acid cannot be predicted after hyaluronic acid injection.

[0004] To achieve the above object, the present invention provides a comprehensive plastic surgery treatment management system capable of predicting the shape that hyaluronic acid should form after injection into the chin and predicting the recovery time of hyaluronic acid according to the current offset value of hyaluronic acid, including a predicted hyaluronic acid coordinate module, a current hyaluronic acid coordinate detection module, a coordinate parameter calculation module, and a recovery time prediction module; The predicted hyaluronic acid coordinate module is used to establish a connection with the medical system database, obtain the hyaluronic acid injection point, injection volume, the shape that hyaluronic acid needs to form, and the time when the plastic surgery patient detects the hyaluronic acid coordinates in the medical system database, and predict the predicted coordinates of the hyaluronic acid in the chin after the injected hyaluronic acid recovers; The current hyaluronic acid coordinate detection module is used, when the plastic surgery patient undergoes a review, to construct an optical image of the hyaluronic acid and surrounding tissues in the chin through an optical detector, and determine the boundary points of the hyaluronic acid in the optical image, and when the optical detector constructs the optical image, to track the distance from the boundary point of the hyaluronic acid to the injection point through a position sensor, and determine the current coordinates of the hyaluronic acid in the chin; The coordinate parameter calculation module is used to calculate the change value of the coordinates of the hyaluronic acid in the chin when the plastic surgery patient undergoes a review in the current hyaluronic acid coordinate detection module, and calculate the offset value between the coordinates of the hyaluronic acid during the review and the predicted coordinates in the predicted hyaluronic acid coordinate module; The recovery time prediction module calculates the recovery speed of hyaluronic acid based on multiple change values, and then predicts the recovery time of hyaluronic acid to the predicted coordinates in the predicted hyaluronic acid coordinate module through the offset value and the recovery speed.

[0005] As a further improvement of this technical solution, the steps for the predicted hyaluronic acid coordinate module to establish a connection with the medical system database are as follows: Send verification information according to the program programming interface authentication mechanism of the medical system database to the medical system database to obtain the permission to access the database; The medical system database receives the verification information and then compares the verification information with the authentication information stored in itself for comparison; If , then establish a connection with the medical system database.

[0006] As a further improvement of this technical solution, the steps for the predicted hyaluronic acid coordinate module to predict the coordinates of hyaluronic acid in the chin after the injection of hyaluronic acid is restored are as follows: Receive the hyaluronic acid injection site, injection volume, and the shape that the hyaluronic acid needs to form; Receive that the shape to be formed after the restoration of hyaluronic acid is a sphere, and calculate the volume of hyaluronic acid according to the volume formula of the sphere ; Among them, is the injection volume, that is, the volume of the sphere, is the radius of the sphere; The formula for calculating the radius of the sphere that hyaluronic acid needs to form through the known injection volume is ; Judge the coordinates of hyaluronic acid in the chin according to the injection site and the radius; Set the injection site as ; Because the sphere is symmetrically distributed in the axis, axis, and axis directions; Then the coordinates of the restored hyaluronic acid are: .

[0007] As a further improvement of this technical solution, the steps for the current hyaluronic acid coordinate detection module to construct an optical image of hyaluronic acid and surrounding tissues in the chin through an optical detector are as follows: The detection end of the optical detector emits high-frequency infrared waves according to the injection point. Due to the different acoustic impedances of hyaluronic acid and the tissues around the chin, when the high-frequency infrared waves encounter the boundary between hyaluronic acid and the tissues around the chin, due to the sudden change in acoustic impedance, strong reflections of the infrared waves will occur. The receiving end of the optical detector receives the reflected infrared waves. At this time, the reflected infrared waves will cause the piezoelectric crystal in the receiving end of the optical detector to vibrate at different frequencies. At this time, the vibrations at different frequencies are converted into different electrical signals, and the different electrical signals are discretized to obtain digital signals corresponding to the electrical signals. The digital signals are then converted into different pixel gray values on the image, and an optical image of the hyaluronic acid and the surrounding tissues in the chin is constructed based on the pixel gray values.

[0008] As a further improvement of this technical solution, the steps for the current hyaluronic acid coordinate detection module to determine that the hyaluronic acid is at the boundary point in the optical image are as follows: Receive the pixel gray values in the optical image. First, calculate the gradient magnitude of each pixel point in the optical image. The gradient magnitude is a quantity used to measure the degree of change in pixel gray values in the image. At the edge of the optical image, the pixel gray values will change significantly, and the gradient magnitude reflects this change. Then, calculate the gradient magnitude of each pixel point ; Among them, and are the horizontal and vertical gradients of the pixel gray values respectively. Receive the hyaluronic acid injection point and the hyaluronic acid sphere radius in the predicted hyaluronic acid coordinate module , and select of as the pre-judged injection area. Receive the standard deviation of the gradient magnitudes of the pixel points in the pre-judged injection area, and select the maximum and minimum values of the standard deviation to set the gradient magnitude threshold interval ; Standard deviation: ; Among them, is the size of the pixel points in the area of the hyaluronic acid pre-judged injection area, the gradient magnitude of , is the average value of the pixel points of the hyaluronic acid injection point; At this time <Gradient magnitude< The pixel points of are determined as the boundary points of the hyaluronic acid.

[0009] As a further improvement of this technical solution, the steps for the current hyaluronic acid coordinate detection module to determine the coordinates of the hyaluronic acid in the chin are as follows: The hyaluronic acid injection point in the received predicted hyaluronic acid coordinate module receives the boundary points of the hyaluronic acid; When the optical detector detects the hyaluronic acid in the chin and the surrounding tissues, the distance from the injection point to the boundary point of the hyaluronic acid is tracked through the position sensor, and the current coordinates of the hyaluronic acid in the chin are constructed: ; Among them, , and are respectively: the distances from the detection end of the optical detector to the boundary point of the hyaluronic acid at the injection point in the , and axis directions.

[0010] As a further improvement of this technical solution, the steps for the coordinate parameter calculation module to calculate the change value and the offset value are as follows: Receive the coordinates of the hyaluronic acid at adjacent times during the reexamination of the plastic surgery patient in the current hyaluronic acid coordinate detection module, and calculate the change between the coordinates of the hyaluronic acid at adjacent times as the change value; The coordinates of the hyaluronic acid at adjacent times in the current hyaluronic acid coordinate detection module are: ; ;

[0011] ; ; Change value: ; ; ; ; Offset value: Receive the predicted coordinates in the predicted hyaluronic acid coordinate module: ; Select the coordinates of the hyaluronic acid during the reexamination of the plastic surgery patient in the current hyaluronic acid coordinate detection module: ; The change between the coordinates of the hyaluronic acid and the predicted coordinates during the reexamination of the plastic surgery patient is the offset value; Offset value: .

[0012] As a further improvement of this technical solution, the steps for the recovery time prediction module to calculate the predicted time are as follows: Receive the change value in the coordinate parameter calculation module and the offset value ; According to multiple change values Calculate the recovery speed, that is, the speed at which the hyaluronic acid fuses with the surrounding tissues and is absorbed after being injected into the chin. According to the recovery speed, predict the predicted time for the hyaluronic acid coordinates in the current chin to recover to the predicted coordinates; Receive the time for detecting the hyaluronic acid coordinates in the predicted hyaluronic acid coordinate module and the plastic surgery patient 、 、 、 ; And 、 、 、 correspond to 、 、 、 each other; The current recovery speed ; Calculate the current recovery speed and the mean value is the recovery speed; Recovery speed ; Predict the recovery time .

[0013] Comprehensive plastic surgery treatment management method, including the following steps: S1. Obtain the hyaluronic acid injection site, injection volume, shape that the hyaluronic acid needs to form, and the time for the plastic surgery patient to detect the hyaluronic acid coordinates in the medical system database; S2. According to the hyaluronic acid injection site, injection volume, and shape that the hyaluronic acid needs to form, predict the predicted coordinates of the hyaluronic acid in the chin after the injection of the hyaluronic acid recovers; S3. When the plastic surgery patient has a follow-up visit, construct an optical image of the hyaluronic acid and the surrounding tissues in the chin through an optical detector, and determine the boundary points of the hyaluronic acid, and then determine the coordinates of the current hyaluronic acid in the chin according to the position sensor; S4. Calculate the change values of the hyaluronic acid coordinates in the chin and the offset value between the current hyaluronic acid coordinates and the predicted coordinates when the plastic surgery patient has multiple follow-up visits respectively; S5. Calculate the hyaluronic acid recovery speed according to the change value, and then calculate the recovery time of the current offset value through the recovery speed.

[0014] Compared with the prior art, the beneficial effects of the present invention: In this comprehensive plastic surgery treatment management system and its management method, after predicting the coordinates of hyaluronic acid in the chin after injection and recovery through the predicted hyaluronic acid coordinate module, the predicted coordinates of the hyaluronic acid in the chin can be obtained, and the shape of the chin after the hyaluronic acid is fully recovered can be simulated in a virtual environment. During the construction of the optical image of the chin by the current hyaluronic acid coordinate detection module through an optical detector, the boundary points of the hyaluronic acid in the current chin are judged, and according to the distance between the boundary points and the detection end of the optical detector, the coordinates of the hyaluronic acid in the chin are determined. Based on the detected distance information between the boundary points and the detection end of the optical detector, combined with the movement of the detection end of the optical detector and the pre-set spatial coordinate system (the coordinates of the injection point), the actual coordinate position of the hyaluronic acid in the chin is accurately calculated, so that during the recovery stage after hyaluronic acid injection, it can be detected at any time, and the position change of the hyaluronic acid in the chin can be grasped in real time, and it can be understood whether it is moving, absorbing or spreading according to the normal recovery law; By obtaining multiple coordinates of different current hyaluronic acids through multiple reexaminations, the coordinate parameter calculation module calculates the change values of multiple different current hyaluronic acid coordinates, and can track the dynamic change process of the hyaluronic acid in the chin. As the number of reexaminations increases, these change values are continuously recorded to form a time series data, clearly showing the position change trajectory of the hyaluronic acid from injection to different recovery stages. During the process of the coordinate parameter calculation module calculating the change values, the offset value between the current hyaluronic acid coordinates and the predicted coordinates is also calculated. Based on the change values and the offset value, the doctor can formulate a personalized treatment adjustment plan for the patient. For patients whose hyaluronic acid position change does not meet the expectations, the doctor can take targeted measures according to the specific offset direction and degree; Then, the recovery time prediction module calculates the recovery speed of the hyaluronic acid according to multiple change values, and then predicts the prediction time for the hyaluronic acid to recover to the predicted coordinates in the predicted hyaluronic acid coordinate module through the offset value and the recovery speed. As new reexamination coordinates are continuously input, that is, new change values and offset values are generated, this module can dynamically update the prediction time. After each reexamination, the recovery speed is recalculated and the offset value is adjusted, and then the prediction time is corrected to make the prediction result closer to the actual recovery process, providing prospective information for the doctor so that they can plan treatment intervention measures in advance. Brief Description of the Drawings

[0015] Figure 1 It is the overall module schematic diagram of the present invention; Figure 2 It is the working step diagram of the present invention.

[0016] The meanings of each label in the figure are as follows: 100, predicted hyaluronic acid coordinate module; 200, current hyaluronic acid coordinate detection module; 300, coordinate parameter calculation module; 400, recovery time prediction module. Detailed Embodiment

[0017] Next, in combination with the accompanying drawings in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] A comprehensive plastic surgery treatment management system includes a predicted hyaluronic acid coordinate module 100, a current hyaluronic acid coordinate detection module 200, a coordinate parameter calculation module 300, and a recovery time prediction module 400; The predicted hyaluronic acid coordinate module 100 is used to establish a connection with the medical system database, obtain the hyaluronic acid injection points, injection volume, the shape that the hyaluronic acid needs to form, and the time when the plastic surgery patient detects the hyaluronic acid coordinates in the medical system database, and predict the predicted coordinates of the hyaluronic acid in the chin after the injection of the hyaluronic acid recovers. The steps for the predicted hyaluronic acid coordinate module 100 to establish a connection with the medical system database are as follows: Send verification information according to the program programming interface authentication mechanism of the medical system database To the medical system database to obtain the permission to access the database, similar to the process of entering an account number and password for login when accessing a website that requires login. The medical system database receives the verification information After that, compare the verification information With the authentication information stored by itself Compare; If , then establish a connection with the medical system database.

[0019] The steps for the predicted hyaluronic acid coordinate module 100 to predict the coordinates of the hyaluronic acid in the chin after the injection of the hyaluronic acid recovers are as follows: Receive the hyaluronic acid injection points, injection volume, and the shape that the hyaluronic acid needs to form; Receive that the shape to be formed after the hyaluronic acid recovers is a sphere, and calculate the volume of the hyaluronic acid according to the volume formula of the sphere ; Among them, Is the injection volume, that is, the volume of the sphere, Is the radius of the sphere; The formula for calculating the radius of the sphere that the hyaluronic acid needs to form through the known injection volume Is ; Judge the coordinates of the hyaluronic acid in the chin according to the injection points and the radius; Set the injection point as ; Since the sphere is symmetrically distributed in the axis, axis, and axis directions; Then the coordinates of the hyaluronic acid after restoration are: .

[0020] The current hyaluronic acid coordinate detection module 200 is used for the reexamination of plastic surgery patients. By using an optical detector, it constructs an optical image of the hyaluronic acid and surrounding tissues in the chin, determines the boundary points of the hyaluronic acid in the optical image, and when the optical detector constructs the optical image, it tracks the distance from the boundary points of the hyaluronic acid to the injection point through a position sensor to determine the coordinates of the current hyaluronic acid in the chin; The steps for the current hyaluronic acid coordinate detection module 200 to construct an optical image of the hyaluronic acid and surrounding tissues in the chin are as follows: The detection end of the optical detector emits high-frequency infrared waves according to the injection point. Since the acoustic impedance of the hyaluronic acid and the surrounding tissues of the chin is different, when the high-frequency infrared waves encounter the boundary between the hyaluronic acid and the surrounding tissues of the chin, due to the sudden change in acoustic impedance, the infrared waves will produce strong reflections; The receiving end of the optical detector receives the reflected infrared waves. At this time, the reflected infrared waves will cause the piezoelectric crystal in the receiving end of the optical detector to vibrate at different frequencies. At this time, the different frequency vibrations are converted into different electrical signals, and the different electrical signals are discretized to obtain digital signals corresponding to the electrical signals. The digital signals are then converted into different pixel gray values on the image, and an optical image of the hyaluronic acid and surrounding tissues in the chin is constructed according to the pixel gray values.

[0021] The reasons for the different acoustic impedances between the hyaluronic acid and the surrounding tissues of the chin in the current hyaluronic acid coordinate detection module 200 are as follows: Since hyaluronic acid is a linear high-molecular polysaccharide composed of repeating disaccharide units of D-glucuronic acid and N-acetylglucosamine, its chemical structure determines that it has high hydrophilicity and can bind a large amount of water molecules to form a gel-like state. The surrounding tissues in the chin area include muscle, fat, fibrous tissue, and skin. Muscle tissue is mainly composed of muscle fibers, contains a large amount of protein and cell components, and has a relatively high density; adipose tissue is mainly composed of adipocytes and contains a large amount of lipid droplets inside, with a low density; the skin contains the epidermis and dermis layers and has a complex extracellular matrix and fiber structure, resulting in inconsistent densities between the hyaluronic acid and the surrounding tissues of the chin. The inconsistent densities between the hyaluronic acid and the surrounding tissues of the chin are the basis for the different acoustic impedances; Acoustic impedance is an important acoustic property of a medium, which is equal to the product of the density of the medium and the propagation speed of infrared waves in the medium. The medium refers to the hyaluronic acid and the surrounding tissues of the chin; ; Among them, is the acoustic impedance, is the density, is the propagation speed of infrared waves in hyaluronic acid and the surrounding tissues of the chin.

[0022] The steps for the current hyaluronic acid coordinate detection module 200 to determine that the hyaluronic acid is at the boundary point in the optical image are as follows: Receive the pixel gray value in the optical image; First, calculate the gradient magnitude of each pixel point in the optical image. The gradient magnitude is a quantity used to measure the degree of change in the pixel gray value in the image. At the edge of the optical image, the pixel gray value changes significantly, and the gradient magnitude reflects this change; Then, calculate the gradient magnitude of each pixel point ; Among them, and are the horizontal and vertical gradients of the pixel gray value respectively; Receive the hyaluronic acid injection point and the hyaluronic acid sphere radius in the predicted hyaluronic acid coordinate module 100 , select of as the predicted injection area; Receive the standard deviation of the gradient magnitude of the pixel points in the predicted injection area, and select the maximum and minimum values of the standard deviation to set the gradient magnitude threshold interval ; Standard deviation: ; Among them, is the size of the pixel points in the predicted injection area of the super hyaluronic acid, The gradient magnitude of , is the average value of the pixel points of the hyaluronic acid injection point; At this time <Gradient magnitude< The pixel points are determined as the boundary points of the hyaluronic acid.

[0023] The calculation formulas for the horizontal and vertical gradients of the pixel gray value are as follows: The gradient magnitude is a quantity used to measure the degree of change in the pixel gray value in the image. In the optical image, the pixel gray value changes significantly at the boundary between the hyaluronic acid and the surrounding tissues, resulting in a relatively large gradient magnitude; Calculate the gray value difference in the horizontal and vertical directions in the optical image to approximate the gradient: Use two 3x3 convolution kernels. The horizontal convolution kernel is ; The vertical convolution kernel is ; For the pixel points in the image ; Horizontal gradient: ; Vertical gradient: ; wherein and are the elements in the convolution kernels in the horizontal and vertical directions respectively, is the corresponding pixel value in the image.

[0024] The steps for the current hyaluronic acid coordinate detection module 200 to determine the coordinates of hyaluronic acid within the chin are as follows: Receive the hyaluronic acid injection point positions in the predicted hyaluronic acid coordinate module 100 and receive the boundary points of the hyaluronic acid; When the optical detector detects the hyaluronic acid within the chin and the surrounding tissues, the distance from the injection point position to the boundary point of the hyaluronic acid is tracked through the position sensor, and the current coordinates of the hyaluronic acid within the chin are constructed: ; wherein , and are respectively: the distances from the detection end of the optical detector to the boundary point of the hyaluronic acid in the , and axis directions.

[0025] The working principle of the position sensor: The position sensor mainly consists of an iron core, a coil, and a movable armature. When the armature moves, the magnetic resistance of the magnetic circuit changes. According to the law of electromagnetic induction, the change in magnetic flux will generate an induced electromotive force in the coil; For example, in a simple linear variable reluctance sensor, there is a certain functional relationship between the air gap distance between the armature and the iron core and the induced electromotive force. When the detection end of the optical detector moves, the connected armature also moves, measuring the change in the induced electromotive force generated in the coil to determine the moving distance of the detection end.

[0026] The coordinate parameter calculation module 300 is used to calculate the change value of the coordinates of the hyaluronic acid within the chin during the review of the plastic surgery patient in the current hyaluronic acid coordinate detection module 200, and calculate the offset value between the coordinates of the hyaluronic acid during the review and the predicted coordinates in the predicted hyaluronic acid coordinate module 100; The steps for the coordinate parameter calculation module 300 to calculate the change value and the offset value are as follows: Receive the coordinates of the hyaluronic acid at adjacent times during the review of the plastic surgery patient in the current hyaluronic acid coordinate detection module 200, and calculate the change between the coordinates of the hyaluronic acid at adjacent times as the change value; The coordinates of the hyaluronic acid at adjacent times in the current hyaluronic acid coordinate detection module 200 are: ; ;

[0027] ; ; Change value: ; ; ; ; Offset value: Predicted coordinates in the predicted hyaluronic acid coordinate module 100: ; Select the hyaluronic acid coordinates of the plastic surgery patient during the reexamination by the current hyaluronic acid coordinate detection module 200: ; The change between the hyaluronic acid coordinates of the plastic surgery patient during the reexamination and the predicted coordinates is the offset value; Offset value: .

[0028] The recovery time prediction module 400 calculates the recovery speed of the hyaluronic acid based on multiple change values, and then predicts the prediction time for the hyaluronic acid to recover to the predicted coordinates in the predicted hyaluronic acid coordinate module 100 through the offset value and the recovery speed; The steps for the recovery time prediction module 400 to calculate the prediction time are as follows: Receive the change values in the coordinate parameter calculation module 300 And the offset value ; According to the multiple change values Calculate the recovery speed, which is the speed of the hyaluronic acid injected into the chin to fuse with the surrounding tissues and be absorbed, and predict the prediction time for the current hyaluronic acid coordinates in the chin to recover to the predicted coordinates according to the recovery speed; Receive the time of the predicted hyaluronic acid coordinate module 100 and the time of detecting the hyaluronic acid coordinates of the plastic surgery patient 、 、 、 ; And 、 、 、 And 、 、 、 Correspond to each other; Current recovery speed ; Calculate the current recovery speed The mean value of which is the recovery speed; Recovery speed ; Predict the recovery time .

[0029] Comprehensive plastic treatment management method, comprising the following steps: S1. Obtain the hyaluronic acid injection site, injection volume, the shape that the hyaluronic acid needs to form, and the time for the plastic surgery patient to detect the hyaluronic acid coordinates in the medical system database; S2. Predict the predicted coordinates of the hyaluronic acid in the chin after the injection of hyaluronic acid recovers according to the hyaluronic acid injection site, injection volume, and the shape that the hyaluronic acid needs to form; S3. When the plastic surgery patient has a reexamination, construct an optical image of the hyaluronic acid and the surrounding tissues in the chin through an optical detector, judge the boundary points of the hyaluronic acid, and then determine the coordinates of the current hyaluronic acid in the chin according to the position sensor; S4. Calculate the change values of the coordinates of the hyaluronic acid in the lower part of the chin and the offset values between the current hyaluronic acid coordinates and the predicted coordinates respectively when the plastic surgery patient has multiple reexaminations; S5. Calculate the recovery speed of the hyaluronic acid according to the change values, and then calculate the recovery time of the current offset value through the recovery speed.

[0030] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive plastic surgery treatment management system, characterized in that, It includes a predicted hyaluronic acid coordinate module (100), a current hyaluronic acid coordinate detection module (200), a coordinate parameter calculation module (300), and a recovery time prediction module (400); The predicted hyaluronic acid coordinate module (100) is used to establish a connection with the medical system database, obtain the hyaluronic acid injection site, injection volume, the shape that the hyaluronic acid needs to form, and the time when the plastic surgery patient detects the hyaluronic acid coordinates in the medical system database, and predict the predicted coordinates of the hyaluronic acid in the chin after the injection of hyaluronic acid is restored; The current hyaluronic acid coordinate detection module (200) is used, when the plastic surgery patient undergoes a reexamination, to construct an optical image of the hyaluronic acid and the surrounding tissues in the chin through an optical detector, determine the boundary points of the hyaluronic acid in the optical image, and when the optical detector constructs the optical image, track the distance from the boundary points of the hyaluronic acid to the injection site through a position sensor to determine the current coordinates of the hyaluronic acid in the chin; The coordinate parameter calculation module (300) is used to calculate the change value of the coordinates of the hyaluronic acid in the chin when the plastic surgery patient undergoes a reexamination in the current hyaluronic acid coordinate detection module (200), and calculate the offset value between the coordinates of the hyaluronic acid during the reexamination and the predicted coordinates in the predicted hyaluronic acid coordinate module (100); The recovery time prediction module (400) calculates the recovery speed of the hyaluronic acid based on multiple change values, and then predicts the predicted time for the hyaluronic acid to recover to the predicted coordinates in the predicted hyaluronic acid coordinate module (100) through the offset value and the recovery speed.

2. The comprehensive plastic surgery treatment management system according to claim 1, characterized in that: The steps for the predicted hyaluronic acid coordinate module (100) to establish a connection with the medical system database are as follows: Send verification information according to the program programming interface authentication mechanism of the medical system database to the medical system database to obtain the permission to access the database; The medical system database receives the verification information After that, the verification information is compared with the authentication information stored by itself for comparison; If , a connection is established with the medical system database.

3. The comprehensive plastic surgery treatment management system according to claim 2, characterized in that: The steps for the predicted hyaluronic acid coordinate module (100) to predict the coordinates of the hyaluronic acid in the chin after the injection of hyaluronic acid is restored are as follows: Receive the hyaluronic acid injection site, injection volume, and the shape that the hyaluronic acid needs to form; Receive that the shape to be formed after the hyaluronic acid is restored is a sphere, and calculate the volume of the hyaluronic acid according to the volume formula of the sphere ； wherein, is the injection volume, i.e., the volume of the sphere, is the radius of the sphere; By known injection volume The formula for calculating the radius of the sphere that hyaluronic acid needs to form is ; Judge the coordinates of the hyaluronic acid in the chin according to the injection site and the radius; Set the injection point as ; Since the sphere is symmetrically distributed in the axis, axis, and axis directions; The coordinates of the hyaluronic acid after restoration are as follows: .

4. The comprehensive plastic surgery treatment management system according to claim 1, characterized in that: The steps for the current hyaluronic acid coordinate detection module (200) to construct an optical image of the hyaluronic acid and the surrounding tissues in the chin through an optical detector are as follows: The detection end of the optical detector emits high-frequency infrared waves according to the injection site. Because the acoustic impedance of the hyaluronic acid is different from that of the surrounding tissues of the chin, when the high-frequency infrared waves encounter the boundary between the hyaluronic acid and the surrounding tissues of the chin, due to the sudden change in acoustic impedance, the infrared waves will produce a strong reflection; The receiving end of the optical detector receives the reflected infrared waves. At this time, the reflected infrared waves will cause the piezoelectric crystals in the receiving end of the optical detector to vibrate at different frequencies. At this time, the different frequency vibrations are converted into different electrical signals, and the different electrical signals are discretized to obtain digital signals corresponding to the electrical signals. The digital signals are then converted into different pixel gray values on the image, and an optical image of the hyaluronic acid and the surrounding tissues in the chin is constructed according to the pixel gray values.

5. The integrated plastic surgery treatment management system according to claim 4, wherein: The steps for the current hyaluronic acid coordinate detection module (200) to determine the boundary points of the hyaluronic acid in the optical image are as follows: Receive the pixel gray values in the optical image; First, calculate the gradient magnitude of each pixel point in the optical image. The gradient magnitude is a quantity used to measure the degree of change in the pixel gray value in the image. At the edge of the optical image, the pixel gray value changes significantly, and the gradient magnitude reflects this change; Then, calculate the gradient magnitude of each pixel ; Among them, and are the horizontal and vertical gradients of the pixel gray value respectively; Receive the hyaluronic acid injection site and the hyaluronic acid sphere radius in the predicted hyaluronic acid coordinate module (100) , select as the predicted injection area Receive the standard deviation of the gradient magnitude of the pixel points in the predicted injection area, and select the maximum and minimum values of the standard deviation to set the gradient magnitude threshold interval ; Standard deviation: ; Among them, is the size of the pixel points in the predicted injection area of super hyaluronic acid, The gradient amplitude of is , is the average value of the pixel points at the hyaluronic acid injection site; At this time <Gradient magnitude< The pixel points are determined as the boundary points of hyaluronic acid.

6. The comprehensive plastic surgery treatment management system according to claim 5, wherein: The steps for the current hyaluronic acid coordinate detection module (200) to determine the coordinates of hyaluronic acid within the chin are as follows: Receive the hyaluronic acid injection point in the predicted hyaluronic acid coordinate module (100), and receive the boundary points of the hyaluronic acid; When the optical detector detects the hyaluronic acid within the chin and the surrounding tissues, it tracks the distance from the injection point to the boundary point of the hyaluronic acid through the position sensor, and constructs the current coordinates of the hyaluronic acid within the chin: ； Among them, , and are respectively the distances from the light-emitting positions of the detection end of the optical detector to the hyaluronic acid boundary points in the , and axis directions.

7. The comprehensive plastic surgery treatment management system method according to claim 1, characterized in that: The steps for the coordinate parameter calculation module (300) to calculate the change value and the offset value are as follows: Receive the coordinates of the hyaluronic acid at adjacent times during the reexamination of the plastic surgery patient in the current hyaluronic acid coordinate detection module (200), and calculate the change between the coordinates of the hyaluronic acid at adjacent times as the change value; The coordinates of the hyaluronic acid at adjacent times in the current hyaluronic acid coordinate detection module (200) are: ； ； 。 8. ； ； Change value: ； ； ； ； Offset value: Receive the predicted coordinates in the predicted hyaluronic acid coordinate module (100); ； Select the coordinates of the hyaluronic acid during the reexamination of the plastic surgery patient in the current hyaluronic acid coordinate detection module (200); ； The change between the coordinates of the hyaluronic acid during the reexamination of the plastic surgery patient and the predicted coordinates is the offset value; Offset value: .

9. The comprehensive plastic surgery treatment management system according to claim 7, wherein: The steps for the recovery time prediction module (400) to calculate the predicted time are as follows: Receive the change value in the coordinate parameter calculation module (300) and the offset value ; Multiple change values according to the change value Calculate the restoration speed, that is, the speed at which the hyaluronic acid fuses with and is absorbed by the surrounding tissues after being injected into the chin, and predict the predicted time for the hyaluronic acid coordinates in the current chin to restore to the predicted coordinates according to the restoration speed; Receive the hyaluronic acid coordinate prediction module (100) and the time for detecting the hyaluronic acid coordinates of the plastic surgery patient , , , ; and and and and correspond to and and and respectively Current recovery speed ; Calculate the current recovery speed whose average value is the recovery speed; Recovery speed ; Predicted recovery time 。 10. A system for implementing an integrated plastic surgery treatment management system, which is applied to the integrated plastic surgery treatment management method described in any one of claims 1-8, characterized in that, Include the following steps: S1. Obtain the hyaluronic acid injection point, injection volume, the shape that the hyaluronic acid needs to form, and the time when the plastic surgery patient detects the coordinates of the hyaluronic acid from the medical system database; S2. Predict the predicted coordinates of the hyaluronic acid within the chin after the injection of the hyaluronic acid has recovered based on the hyaluronic acid injection point, injection volume, and the shape that the hyaluronic acid needs to form; S3. During the reexamination of the plastic surgery patient, construct an optical image of the hyaluronic acid within the chin and the surrounding tissues through the optical detector, and determine the boundary points of the hyaluronic acid, and then determine the current coordinates of the hyaluronic acid within the chin according to the position sensor; S4. Calculate the change values of the coordinates of the hyaluronic acid within the lower chin and the offset value between the current coordinates of the hyaluronic acid and the predicted coordinates respectively during multiple reexaminations of the plastic surgery patient; S5. Calculate the recovery speed of the hyaluronic acid based on the change value, and then calculate the recovery time of the current offset value through the recovery speed.

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