Light energy spatial distribution optimization method based on three-dimensional skin topological graph guidance

Abstract

The invention discloses a light energy spatial distribution optimization method based on three-dimensional skin topological graph guidance, and relates to the technical field of light energy adjustment, and the method comprises the steps: obtaining a three-dimensional skin topological graph and multispectral image data of a treatment region, and then carrying out the detection and quantification of skin heterogeneity features; energy control parameters are dynamically adjusted according to anatomical characteristics of skin tissues, and light output is optimized; and when a high-heterogeneity region is detected, carrying out data fusion on theoretical vascular model energy distribution and real-time three-dimensional topological data to generate space correction energy so as to realize accurate energy regulation and control of a skin heterogeneous region. According to the method, the three-dimensional topology height curvature, the multispectral chromaticity deviation and the blood vessel density distribution are fused, the comprehensive heterogeneity index is calculated through the dynamic weighting model, the limitation of a single dimension is broken through, and compared with traditional chromaticity analysis, the heterogeneity recognition precision is obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of light energy adjustment, and in particular to a light energy spatial distribution optimization method guided by a three-dimensional skin topology map. Background Art

[0002] With the rapid development of medical technology, light therapy for port-wine stains (such as laser therapy and photodynamic therapy) has become a routine clinical method. Especially in the treatment of residual mild erythema after traditional treatment, precise energy regulation can not only improve the efficacy, but also avoid side effects such as pigmentation. However, due to the spatial heterogeneity of skin tissue - including tiny topological fluctuations, color gradient differences, uneven distribution of blood vessel density, etc. - the traditional uniform energy irradiation mode faces severe challenges: Risk of overtreatment: applying standard energy to flat or faded areas can easily lead to epidermal thermal damage and secondary pigmentation; Risk of undertreatment: insufficient energy to slightly raised, dark or vascular-dense areas, resulting in incomplete disappearance of residual erythema.

[0003] Currently, some technologies have attempted to optimize energy output through two-dimensional image analysis (such as RGB colorimetry) or predefine energy curves under static models. These methods have some effect in homogeneous skin scenes, but they still have some fundamental flaws:

[0004] The limitation of two dimensions is that it cannot perceive the three-dimensional topological changes of the skin, and the height difference directly affects the depth of light energy deposition; the feature is single, relying only on the single feature of color or blood vessels, it is difficult to quantify the heterogeneity of multi-factor coupling (such as the "high protrusion + deep red + dense blood vessels" composite risk area); static adaptation fails, and the preset energy curve cannot dynamically respond to the real-time changing tissue characteristics during treatment (such as the color gradient caused by vascular coagulation). Although recent studies have proposed three-dimensional imaging combined with optical coherence tomography (OCT), it is only used for preoperative planning and lacks the ability to control the real-time energy closed loop during surgery. Therefore, there is an urgent need for a precise control technology that can achieve dynamic optimization of spatial energy in a highly heterogeneous environment while ensuring treatment stability. Summary of the Invention

[0005] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0006] In view of the above problems in the prior art, the present invention is proposed.

[0007] To solve the above technical problems, the present invention provides the following technical solution: a method for optimizing the spatial distribution of light energy based on guidance of a three-dimensional skin topology map, the method comprising the following steps:

[0008] Obtain three-dimensional skin topography and multispectral image data of the treatment area, and then detect and quantify skin heterogeneity characteristics;

[0009] Wherein, obtaining the three-dimensional skin topology map includes: collecting the spatial coordinates of the skin surface by a three-dimensional imaging device and calculating the actual height curvature of the skin; obtaining the multispectral image data includes: synchronously obtaining the chromaticity distribution and vascular density data by a multispectral imaging device;

[0010] Dynamically adjust energy control parameters according to the anatomical characteristics of skin tissue to optimize light output;

[0011] When a high heterogeneity area is detected, the theoretical vascular model energy distribution is fused with the real-time three-dimensional topological data to generate spatially corrected energy, thereby achieving precise energy regulation in the skin heterogeneous area.

[0012] As a preferred solution of the light energy spatial distribution optimization method based on three-dimensional skin topology map guidance of the present invention, the detecting and quantifying skin heterogeneity characteristics specifically includes:

[0013] The height curvature deviation is calculated based on the difference between the actual height curvature of the skin and the ideal plane model; the chromaticity deviation is calculated by comparing the actual colorimetric data with the benchmark colorimetric data of healthy skin; and the vascular density deviation is calculated by comparing the vascular density of the target area with that of the surrounding area.

[0014] As a preferred embodiment of the method for optimizing the spatial distribution of light energy based on three-dimensional skin topology guidance of the present invention, the method further comprises: after detecting and quantifying the skin heterogeneity characteristics, setting weights for height curvature deviation, chromaticity deviation, and vascular density deviation according to the anatomical position of the treatment site, and performing weighted synthesis to obtain a comprehensive heterogeneity index H;

[0015] Comparing the comprehensive heterogeneity index H with a pre-set interval to determine the triggering of the energy control action;

[0016] Specifically:

[0017] When H belongs to the first interval, it is judged as low heterogeneity and the standard action is performed;

[0018] When H belongs to the second interval, it is judged as medium heterogeneity and the first enhancement action is performed;

[0019] When H belongs to the third interval, it is determined to be high heterogeneity, and the second correction action is performed.

[0020] As a preferred solution of the light energy spatial distribution optimization method based on three-dimensional skin topology guidance of the present invention, the dynamic adjustment of energy control parameters includes energy density adjustment, blood vessel density weight adjustment, and chromaticity deviation response threshold adjustment, specifically:

[0021] Dynamic adjustment of energy density through real comprehensive heterogeneity index H;

[0022] By monitoring the stability of vascular density distribution, the vascular density weight is dynamically adjusted;

[0023] According to the continuity characteristics of chromaticity gradient, the chromaticity deviation response threshold is adjusted to cope with local chromaticity jumps.

[0024] As a preferred solution of the light energy spatial distribution optimization method based on three-dimensional skin topology map guidance of the present invention, when the second correction action is triggered, the theoretical blood vessel model energy distribution and the real-time three-dimensional topology data are fused through the Kalman filter:

[0025] S102: Setting the energy state vector E to include the position coordinates (x, y), the theoretical energy value, and the topology correction factor;

[0026] S103: Using the height curvature of the three-dimensional topological data as input, calculating the topological correction factor, and using the energy state and topological change rate at the previous moment to predict the current energy distribution;

[0027] S104: Continuously detect the multispectral image data. If there is a sub-region belonging to the first interval, use the chromaticity reference value of the region to perform model correction and calculate the fused energy state vector E(t).

[0028] As a preferred solution of the light energy spatial distribution optimization method based on three-dimensional skin topology map guidance of the present invention, the energy regulation of the high heterogeneity area includes:

[0029] When the second correction action is triggered, the system switches to the model fusion energy mode: the correction energy is output along the predetermined treatment path through the energy state vector E(t) to maintain treatment continuity;

[0030] Multispectral image data feedback is used to correct the accumulated errors of the theoretical vascular model, and the standard energy mode is switched back when the heterogeneity index returns to the first interval.

[0031] As a preferred solution of the light energy spatial distribution optimization method based on three-dimensional skin topology map guidance of the present invention, the first enhancement action includes:

[0032] The spatial sensitivity of light output is enhanced through three key mechanisms: introducing a high-resolution energy control grid and increasing the sampling frequency and pixel level of 3D topological maps and multispectral images, enabling detection and response to small-scale structural differences.

[0033] The system used in the above-mentioned light energy spatial distribution optimization method based on three-dimensional skin topology guidance includes: a heterogeneity feature extraction module, which is used to obtain three-dimensional skin topology and multispectral data, and quantify skin heterogeneity characteristics based on height curvature deviation, chromaticity deviation and vascular density deviation;

[0034] Dynamic parameter optimization module, which is used to adjust energy control parameters in real time and optimize energy output strategy according to the dynamic characteristics of skin tissue;

[0035] The model fusion execution module is used to switch to the theoretical vascular model fusion mode when a high heterogeneity area is detected. It uses 3D topological data to correct the energy distribution and achieve precise energy control in the heterogeneous area.

[0036] The present invention also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for optimizing the spatial distribution of light energy based on the guidance of a three-dimensional skin topology map are implemented.

[0037] The present invention also discloses a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method for optimizing the spatial distribution of light energy based on guidance of a three-dimensional skin topology map are implemented.

[0038] The beneficial effects of the present invention are as follows: the present invention integrates the triple features of three-dimensional topological height curvature, multispectral chromaticity deviation, and vascular density distribution, and calculates the comprehensive heterogeneity index H through a dynamic weighted model, breaking through the limitations of a single dimension. Compared with traditional chromaticity analysis, the accuracy of heterogeneity identification is significantly improved; when it is impossible to directly rely on optical data for highly heterogeneous areas (such as strongly scattering tissue), the present invention switches to a model fusion energy mode and maintains short-term precise treatment through three-dimensional topological data; multispectral feedback is used to correct the model's accumulated errors in real time to ensure the stability of the light energy distribution throughout the process. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0040] Figure 1This is a schematic diagram of the overall process of the light energy spatial distribution optimization method based on three-dimensional skin topology guidance proposed in the present invention. DETAILED DESCRIPTION

[0041] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0042] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0043] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0044] Reference Figure 1 , as one embodiment of the present invention, provides a method for optimizing the spatial distribution of light energy based on guidance of a three-dimensional skin topology map, the method comprising the following steps:

[0045] Step 1: Obtain a 3D skin topography map and multispectral image data of the treatment area, and then detect and quantify skin heterogeneity characteristics;

[0046] Among them, obtaining the three-dimensional skin topology map includes: collecting the spatial coordinates of the skin surface through a three-dimensional imaging device and calculating the actual height curvature of the skin; obtaining the multispectral image data includes: synchronously obtaining chromaticity distribution and blood vessel density data through a multispectral imaging device.

[0047] Specifically:

[0048] The detecting and quantifying skin heterogeneity characteristics specifically includes:

[0049] The height curvature deviation is calculated based on the difference between the actual height curvature of the skin obtained and the ideal plane model;

[0050] The purpose is to quantify the structural complexity of the skin surface. First, a set of three-dimensional coordinate points on the skin surface is obtained, and then the local height curvature of each point is calculated based on this. The height curvature deviation is defined as follows:

[0051] ΔC=|k1(x,y)-k1(x,y)|;

[0052] Among them, k1(x,y) represents the Gaussian curvature or mean curvature of the actual skin surface at (x,y), which represents the curvature of the ideal reference plane or smooth surface model corresponding to this position, usually 0 or set according to the standard skin curvature template, for example; on both sides of the nose or at the corners of the eyes, the curvature mutation is obvious, and ΔC will be significantly higher than that in uniform areas, such as the cheeks, making it easier to indicate a highly heterogeneous structural area.

[0053] Calculate the chromaticity deviation by comparing the actual chromaticity data with the healthy skin benchmark chromaticity;

[0054] Chromaticity deviation reflects the degree of abnormality in skin pigment distribution. Image data in R / G / B or Lab* color space is collected by a multispectral camera and compared with a standard healthy skin template. The calculation is as follows:

[0055]

[0056] Among them, L * ,α * ,b * : Current chromaticity parameters of the target skin area (such as brightness, red and green channel distribution, yellow and blue channel distribution), Reference colorimetric values ​​of healthy areas of the skin of similar people or patients (preset or dynamically learned);

[0057] Furthermore, chromaticity deviation (ΔL) is an important factor in calculating the comprehensive heterogeneity index, H. Larger chromaticity deviations indicate significant pigmentary changes in the skin region, potentially due to pigmentation, inflammation, or other skin pathologies. H is calculated by weighting chromaticity deviation (ΔL) with other features (height curvature deviation ΔC and vascular density deviation ΔV) to produce a composite score representing the degree of heterogeneity within a region.

[0058] The vascular density deviation was calculated by comparing the vascular density in the target area with that in the surrounding area.

[0059] Its purpose is to evaluate the abnormal subcutaneous microcirculation area by imaging the absorption characteristics of hemoglobin through near-infrared or specific bands to obtain a vascular density map. The deviation is defined as follows:

[0060]

[0061] Among them, D t Indicates the vascular density of the target area (the proportion of vascular pixels per unit area or the optical absorption rate), D s Indicates the average vascular density of the reference area surrounding the target area. For example, areas with acne, red blood streaks, or post-inflammatory pigmentation often have higher vascular density than surrounding areas. ΔV can be used to improve the accuracy of photothermal treatment and avoid over-irradiation.

[0062] It can be seen that the three deviation indices quantify skin heterogeneity from the three-dimensional perspectives of structure (ΔC), pigment (ΔL), and blood flow (ΔV). This makes the subsequent energy control no longer a simple planar uniform distribution, but a spatial correction optimization based on the actual skin state. The core purpose is to achieve "personalized energy regulation driven by heterogeneity perception" to ensure that laser energy is treated differently in skin areas with physiological complexity, and then: avoid energy overexposure causing thermal damage (such as in high blood flow areas); avoid insufficient energy leading to decreased efficacy (such as in highly depressed areas); and achieve dual guarantees of spatial balance and safety of energy distribution.

[0063] Step 2: Set the weights of height curvature deviation, color deviation, and vascular density deviation according to the anatomical location of the treatment site, and perform weighted synthesis to obtain the comprehensive heterogeneity index H;

[0064] Comparing the comprehensive heterogeneity index H with a pre-set interval to determine the triggering of the energy control action;

[0065] Specifically:

[0066] When H falls within the first interval, it is judged as low heterogeneity, and the skin structure and tissue state in this area are determined to be relatively uniform. The standard action is performed, that is, the laser is output with uniform power along the preset treatment path, without the need for model fusion intervention;

[0067] When H falls within the second interval, it is judged as medium heterogeneity, and it is determined that the region has a certain degree of structural or pigment heterogeneity, and a first enhancement action is performed, including: enhancing the spatial sensitivity of the laser output;

[0068] Exemplary: To elaborate: The technical goal of enhancing the spatial sensitivity of laser output is to improve the laser system's ability to respond to tiny structural / parameter differences in the target skin area, making energy regulation more delicate to cope with complex physiological changes in moderately heterogeneous areas (such as slight wrinkles, mildly uneven pigmentation, or areas with sparse capillary concentrations). Its implementation mechanism is:

[0069] S1: Introducing high-resolution energy control grid: Dividing the skin treatment area into denser two-dimensional grid cells (e.g., from 1mm 2 Down to 0.2mm 2 Each pixel), each unit corresponds to an independent energy control unit;

[0070] S2: Improve the sampling frequency and pixel level of 3D topological maps and multispectral images to enable detection and response to small-scale structural differences.

[0071] When H belongs to the third interval, it is determined to be high heterogeneity, and the second correction action is performed.

[0072] Specifically, the purpose of the above steps is to achieve a comprehensive evaluation of skin characteristics of different dimensions in energy control. Based on three core indicators: height curvature deviation ΔC, chromaticity deviation ΔL, and vascular density deviation ΔV, the present invention sets a weighted model and calculates the comprehensive heterogeneity index H, which is defined as follows:

[0073]

[0074] Where H represents the comprehensive heterogeneity index, normalized to [0,1], ΔC max ,ΔL max ,ΔV max : The corresponding maximum reference value or set threshold value, used for normalization, w c 、w l 、w v : are the weight coefficients of the three deviations, satisfying w c +w l +w v =1, can be set adaptively according to the treatment area, skin type and treatment goal. For example, for the cheek area, which usually has smaller structural fluctuations and is more affected by color and blood flow, you can set: w c =0.2,w l =0.5,w v =0.3, for areas with significant curvature such as nose wings and forehead, you can set: w c =0.5,w l =0.3,w v =0.2.

[0075] Step 3: Dynamically adjust energy control parameters according to the anatomical characteristics of skin tissue to optimize laser output.

[0076] Dynamic adjustment of energy control parameters includes energy density adjustment, vascular density weight adjustment, and chromaticity deviation response threshold adjustment, specifically:

[0077] The energy density is dynamically adjusted by using the real comprehensive heterogeneity index H. The purpose of the dynamic energy density adjustment technology is to automatically adjust the laser output power or energy per unit area (energy density) according to the degree of heterogeneity in different areas to avoid "over-illumination" or "under-illumination". Its implementation mechanism is as follows:

[0078] S1: Energy mapping function setting based on H value: The system sets an energy density mapping curve, such as:

[0079] D(x,y)=D b ·(1+β·H(x,y));

[0080] Where D(x,y) represents the laser energy density output at (x,y); D brepresents the basic energy density (under standard mode); H(x,y) corresponds to the comprehensive heterogeneity index of the region; β represents the enhancement factor (set between 0.2 and 0.5).

[0081] S2: Energy correction based on skin thermal model feedback: The laser system performs corrective callbacks based on tissue thermal response data (such as tissue temperature rise rate, infrared feedback, etc.) before treatment to ensure that local hot spots are not overloaded;

[0082] S3: Limit the total energy window range to ensure safety: Even if the H value is high, the system sets a maximum output limit to prevent the energy density from exceeding the skin thermal damage threshold;

[0083] By monitoring the stability of vascular density distribution, the vascular density weight is dynamically adjusted;

[0084] When the vascular density deviation ΔV is large, the system will increase the weight w of vascular density. v , that is, the influence of the vascular characteristics of this area on energy regulation increases, and the adjustment formula is: w v ′=w v +k v ·ΔV.k v represents the vascular density regulation coefficient.

[0085] According to the continuity characteristics of chromaticity gradient, the chromaticity deviation response threshold is adjusted to cope with local chromaticity jumps.

[0086] The response threshold is defined as ΔL t ,

[0087] Where, ΔL b Indicates the basic chromaticity deviation threshold, k l represents the chroma adjustment coefficient, Indicates the rate of change of chroma (+ indicates increasing the threshold, - indicates decreasing the threshold).

[0088] When the chromaticity changes rapidly, This means that the system requires a higher response threshold (in the + direction) for larger chromaticity changes.

[0089] If the chromaticity deviation itself is small, The system needs to lower the response threshold (- direction) to make the system more sensitive to small changes in chromaticity.

[0090] When the chromaticity deviation ΔL is greater than the dynamically adjusted response threshold, the chromaticity deviation is directly brought into the calculation of H. When the response threshold is dynamically adjusted, the system will re-evaluate ΔL according to the new threshold, thereby affecting the value of H.

[0091] Step 4: When a high heterogeneity area is detected, the theoretical vascular model energy distribution is fused with the real-time 3D topological data to generate spatial correction energy, achieving precise energy regulation of the skin heterogeneous area. Specifically, when the second correction action is triggered, the theoretical vascular model energy distribution is fused with the real-time 3D topological data through a Kalman filter:

[0092] S102: Set the energy state vector E to include spatial coordinates, theoretical energy value, and topological correction factor:

[0093] E=[xy E m K z K c ];

[0094] Where x, y represent the plane coordinates of the treatment area (unit: mm); E m The theoretical energy value predicted by the vascular model (unit: J / cm 2 );K z K represents the height correction factor (dimensionless), which reflects the difference between the current point height z and the reference plane z0. c represents the curvature correction factor (dimensionless), which is given by the local curvature calculate.

[0095] S103: Using the height z(t) and curvature output by the 3D topology scanner in real time as input, calculate the topology correction factor:

[0096] K z (t) = K z (t-1)+α·(z0-z(t))·Δt;

[0097]

[0098] Among them, α and β represent empirical coefficients (default value: α=-0.05mm -1 ,β=0.1), Δt represents the data refresh interval;

[0099] The current energy distribution is predicted using the previous state E(t-1) and the topology change rate:

[0100]

[0101] Where F is the state transfer matrix (diagonal matrix, reflecting the energy deposition inertia), B is the input matrix, mapping the height / curvature change to the correction factor; Δz = z(t) - z(t-1), ΔC u is the curvature change.

[0102] S104: Continuously detect the multispectral image data. If there is a sub-region belonging to the first interval, use the chromaticity reference value of the region to perform model correction and calculate the fused energy state vector E(t).

[0103]

[0104] Among them, E d represents the measured effective energy (inferred from the empirical relationship between chromaticity and energy), H represents the observation matrix (extract E m component), K(t) represents the Kalman gain.

[0105] The energy regulation of the high heterogeneity region includes:

[0106] When the second correction action is triggered, the model fusion energy mode is switched to: the correction energy is output along the predetermined treatment path through the energy state vector E(t), maintaining the continuity of treatment, and the final correction energy is:

[0107] E f =E m ·[1+K z (t)+K c (t)];

[0108] Multispectral image data is used as feedback to correct the accumulated errors of the theoretical vascular model. The specific strategy is as follows:

[0109] Height mutation detection: If |z(t)-z(t-1)|>0.3mm, reset K z Initial value;

[0110] Curvature smoothing: Yes Perform sliding average filtering (window width 5 sampling points).

[0111] When the heterogeneity index returns to the first interval, it switches back to the standard energy mode.

[0112] This embodiment also discloses a laser energy spatial distribution optimization system based on three-dimensional skin topology guidance, which is applied to the above-mentioned light energy spatial distribution optimization method based on three-dimensional skin topology guidance, and is characterized by: including: a heterogeneity feature extraction module, which is used to obtain three-dimensional skin topology and multispectral data, and quantify skin heterogeneity characteristics based on height curvature deviation, chromaticity deviation and vascular density deviation; a dynamic parameter optimization module, which is used to adjust energy control parameters in real time and optimize energy output strategies according to the dynamic characteristics of skin tissue; and a model fusion execution module, which is used to switch to theoretical vascular model fusion mode when a high heterogeneity area is detected, correct the energy distribution through three-dimensional topology data, and achieve precise energy control in the heterogeneous area.

[0113] This embodiment also provides a computer device, which is suitable for the case of a light energy spatial distribution optimization method guided by a three-dimensional skin topology map, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the light energy spatial distribution optimization method guided by a three-dimensional skin topology map as proposed in the above embodiment.

[0114] The computer device may be a terminal, comprising a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse.

[0115] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for optimizing the spatial distribution of light energy guided by a three-dimensional skin topology map as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing the spatial distribution of light energy based on the guidance of a three-dimensional skin topology map, characterized in that: The method comprises the following steps: Obtain three-dimensional skin topography and multispectral image data of the treatment area, and then detect and quantify skin heterogeneity characteristics; Wherein, obtaining the three-dimensional skin topology map includes: collecting the spatial coordinates of the skin surface by a three-dimensional imaging device and calculating the actual height curvature of the skin; obtaining the multispectral image data includes: synchronously obtaining the chromaticity distribution and vascular density data by a multispectral imaging device; Dynamically adjust energy control parameters according to the anatomical characteristics of skin tissue to optimize light output; When a high heterogeneity area is detected, the theoretical vascular model energy distribution is fused with the real-time three-dimensional topological data to generate spatially corrected energy, thereby achieving precise energy regulation in the skin heterogeneous area.

2. The method for optimizing the spatial distribution of light energy based on three-dimensional skin topology guidance according to claim 1, characterized in that: The detecting and quantifying skin heterogeneity characteristics specifically includes: The height curvature deviation is calculated based on the difference between the actual height curvature of the skin obtained and the ideal plane model; Calculate the chromaticity deviation by comparing the actual chromaticity data with the healthy skin benchmark chromaticity; The vascular density deviation was calculated by comparing the vascular density in the target area with that in the surrounding area.

3. The method for optimizing the spatial distribution of light energy based on three-dimensional skin topology guidance according to claim 2, characterized in that: After detecting and quantifying the skin heterogeneity characteristics, the method further includes: setting weights of height curvature deviation, chromaticity deviation, and vascular density deviation according to the anatomical position of the treatment site, and performing weighted synthesis to obtain a comprehensive heterogeneity index H; Comparing the comprehensive heterogeneity index H with a pre-set interval to determine the triggering of the energy control action; Specifically: When H belongs to the first interval, it is judged as low heterogeneity and the standard action is performed; When H belongs to the second interval, it is judged as medium heterogeneity and the first enhancement action is performed; When H belongs to the third interval, it is determined to be high heterogeneity, and the second correction action is performed.

4. The method for optimizing the spatial distribution of light energy based on three-dimensional skin topology guidance according to claim 3, characterized in that: Dynamic adjustment of energy control parameters includes energy density adjustment, vascular density weight adjustment, and chromaticity deviation response threshold adjustment, specifically: Dynamic adjustment of energy density through real comprehensive heterogeneity index H; By monitoring the stability of vascular density distribution, the vascular density weight is dynamically adjusted; According to the continuity characteristics of chromaticity gradient, the chromaticity deviation response threshold is adjusted to cope with local chromaticity jumps.

5. The method for optimizing the spatial distribution of light energy based on three-dimensional skin topology guidance according to claim 4, characterized in that: When the second corrective action is triggered, the theoretical vascular model energy distribution is fused with the real-time 3D topological data through the Kalman filter: S102: Setting the energy state vector E to include the position coordinates (x, y), the theoretical energy value, and the topology correction factor; S103: Using the height curvature of the three-dimensional topological data as input, calculating the topological correction factor, and using the energy state and topological change rate at the previous moment to predict the current energy distribution; S104: Continue to detect the multispectral image data. If there is a sub-region belonging to the first interval, use the chromaticity reference value of the region to perform model correction and calculate the fused energy state vector .

6. The method for optimizing the spatial distribution of light energy based on three-dimensional skin topology guidance according to claim 5, characterized in that: The energy regulation of the high heterogeneity region includes: When the second corrective action is triggered, switch to the model fusion energy mode: through the energy state vector Output corrected energy along the predetermined treatment path to maintain treatment continuity; Multispectral image data feedback is used to correct the accumulated errors of the theoretical vascular model, and the standard energy mode is switched back when the heterogeneity index returns to the first interval.

7. The method for optimizing the spatial distribution of light energy based on three-dimensional skin topology guidance according to claim 6, characterized in that: The first enhancement action includes: The spatial sensitivity of light output is enhanced through three key mechanisms: introducing a high-resolution energy control grid and increasing the sampling frequency and pixel level of 3D topological maps and multispectral images, enabling detection and response to small-scale structural differences.

8. A system for optimizing the spatial distribution of light energy based on guidance of a three-dimensional skin topology map, applied to the method for optimizing the spatial distribution of light energy based on guidance of a three-dimensional skin topology map according to any one of claims 1 to 7, characterized in that: include: Heterogeneity feature extraction module, which is used to obtain three-dimensional skin topology and multispectral data, and quantify skin heterogeneity characteristics based on height curvature deviation, color deviation and blood vessel density deviation; Dynamic parameter optimization module, which is used to adjust energy control parameters in real time and optimize energy output strategy according to the dynamic characteristics of skin tissue; And a model fusion execution module, which is used to switch to the theoretical vascular model fusion mode when a high heterogeneity area is detected, correct the energy distribution through three-dimensional topological data, and achieve precise energy control in the heterogeneous area.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the light energy spatial distribution optimization method based on three-dimensional skin topology guidance according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the light energy spatial distribution optimization method based on three-dimensional skin topology guidance according to any one of claims 1 to 7 are implemented.

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