Medical cosmesis device with LED light source and body cosmesis system based on light therapy

Abstract

The application belongs to the technical field of optical beauty, and discloses a medical beauty device with an LED light source and a body beauty system based on light therapy, which comprises the following steps: collecting multi-source data fusion and generating a skin health atlas through an ICP registration algorithm; based on the skin health atlas, a high tolerance area and a dense blood vessel area are segmented; laser wavelength, energy density and cooling parameters are allocated to each area; each dynamic threshold is adjusted in real time through a dynamic threshold; a risk level is determined and divided through multi-parameter fusion, and a hierarchical response mechanism is triggered to generate dynamic energy configuration parameters and safety control strategies; based on three-dimensional point cloud coordinates and space constraint conditions, a laser path planning is dynamically adjusted through a path re-planning algorithm to generate a light therapy execution log; based on the light therapy execution log, an efficacy evaluation report is generated to construct a photoaging risk atlas; through a reinforcement learning algorithm, the energy rule library, the parameters of the determination threshold and the weight coefficient of the registration algorithm are updated to form a closed-loop optimization.

Description

Technical Field

[0001] This invention relates to the field of skin treatment and phototherapy technology, and more specifically, to a medical aesthetic device with an LED light source and a phototherapy-based body beauty system. Background Technology

[0002] Phototherapy techniques (such as red light, blue light, and infrared light) have demonstrated significant application value in the field of cosmetic dermatology due to their properties of improving skin condition, promoting collagen synthesis, and relieving inflammation. With the increasing demand for beauty treatments, phototherapy is widely used in anti-aging, acne treatment, and pigmentation repair. However, current clinical applications of phototherapy still rely on traditional equipment and standardized operating procedures, making it difficult to meet the needs of individualized and precise treatment, resulting in limited treatment effectiveness and potential safety risks.

[0003] Traditional phototherapy equipment and methods suffer from multiple drawbacks: First, their parameter settings (such as wavelength, intensity, and irradiation time) are highly dependent on preset values ​​and cannot be dynamically adjusted according to individual skin types and treatment area differences (such as sensitive skin, acne, and pigmentation), leading to uneven treatment effects or side effects (such as redness and burns). Second, the equipment lacks real-time monitoring and intelligent feedback mechanisms, relying solely on manual observation or simple sensors (such as thermometers) for extensive monitoring, failing to capture changes in deep skin biological characteristics (such as blood oxygen and moisture loss), easily resulting in overtreatment or undertreatment. Furthermore, existing systems mostly employ manual single-area irradiation, which is inefficient and prone to missing treatment sites. Simultaneously, the lack of systematic analysis of treatment data leads to a lack of basis for optimizing subsequent treatment courses, severely hindering the intelligent and precise development of phototherapy technology. Summary of the Invention

[0004] To overcome the aforementioned deficiencies of the prior art and to achieve the above objectives, the present invention provides the following technical solution: a phototherapy-based body beauty system, comprising:

[0005] Multimodal scanning and 3D skin modeling unit: Acquires OCT data of skin structure, thermal imaging temperature distribution, 3D point cloud coordinates and spectral metabolic parameters, and fuses them to generate a skin health atlas through ICP registration algorithm;

[0006] Dynamic Energy Planning and Safety Control Unit: Based on the skin health map, it segments the high tolerance area and the densely vascularized area through morphological closing operation; it calls the pre-set energy rule library to allocate laser wavelength, energy density and cooling parameters to each area; it adjusts the dynamic threshold of temperature, dynamic threshold of erythema index and dynamic threshold of impedance change rate in real time through dynamic threshold adaptive algorithm; it determines the risk level through multi-parameter fusion and triggers the graded response mechanism to generate dynamic energy configuration parameters and safety control strategy;

[0007] Multimodal energy-coordinated phototherapy and real-time optimization unit: Based on dynamic energy configuration parameters, the skin surface is preheated in different regions according to the thickness of the stratum corneum, and the preheating time is extended according to structural defect markers; Based on three-dimensional point cloud coordinates and spatial constraints, the laser path planning is dynamically adjusted through path replanning algorithm to generate phototherapy execution log;

[0008] Adaptive closed-loop optimization unit: Based on phototherapy execution logs, it generates efficacy evaluation reports and constructs a photoaging risk map by combining historical phototherapy data; it implements energy attenuation strategies for high-risk areas and energy density enhancement strategies for enhanced areas; it updates the energy rule base, judgment threshold parameters, and registration algorithm weight coefficients through reinforcement learning algorithms to form a closed-loop optimization.

[0009] Furthermore, the acquisition methods for the OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates, and spectral metabolic parameters of the skin structure include:

[0010] A fixed OCT module and a movable spectral probe mounted on a robotic arm are coupled via optical fiber to form a split scanning system;

[0011] Based on the split-type scanning system, the OCT module uses a frequency-scanning light source to transmit near-infrared light to the probe through optical fiber, penetrating the skin surface to the deep tissue, generating high-resolution skin layer images, capturing the thickness of the stratum corneum, the structure at the epidermal-dermal junction and the distribution of the subcutaneous vascular network as OCT data.

[0012] A thermal imaging camera is mounted on a robotic arm probe to monitor and collect the thermal imaging temperature distribution of the skin epidermis in real time.

[0013] Synchronously drive the ToF camera to emit invisible light pulses, and generate three-dimensional point cloud coordinate data of the whole body through time-of-flight calculation;

[0014] The near-infrared spectrometer built into the robotic arm probe collects the reflectance spectrum that penetrates the skin epidermis. The distribution of hemoglobin concentration, water content, and melanin is obtained by analyzing the characteristic absorption peaks, which serve as spectral metabolic parameters.

[0015] During data acquisition, a ring-shaped polarizing light source and a rotating polarizer are deployed to work together to dynamically adjust the polarization direction and eliminate surface reflection interference from the skin epidermis; and a hardware timing controller is used to synchronize the data acquisition frequencies of the OCT module, thermal imaging camera, near-infrared spectrometer and ToF camera.

[0016] Furthermore, the method of fusing and generating a skin health atlas containing stratum corneum thickness, microcirculation status, and structural defect markers using the ICP registration algorithm includes:

[0017] Based on the collected OCT data, thermal imaging temperature distribution, 3D point cloud coordinates, and spectral metabolic parameters, the parameters of the OCT module, thermal imaging camera, near-infrared spectrometer, and ToF camera are calibrated using a calibration board to align the local coordinates of the OCT, the pixel coordinates of the thermal imaging, and the global coordinate system of the 3D point cloud.

[0018] The ICP registration algorithm is used to match the stratum corneum thickness and subcutaneous vascular network distribution of OCT data with the coordinates of three-dimensional point cloud layer by layer. Spatial registration is performed by minimizing the distance error between the three-dimensional point cloud and the OCT surface.

[0019] For the spatially registered OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, multi-parameter fusion and feature extraction are performed to generate a three-dimensional health map as a skin health map.

[0020] The multi-parameter fusion and feature extraction includes structural parameter integration, metabolic parameter integration, and structural defect analysis; the three-dimensional health atlas includes structural layers, metabolic layers, and defect layers;

[0021] The structural parameters are integrated as follows: grayscale threshold segmentation is performed on the stratum corneum thickness to generate a stratum corneum thickness distribution map; combined with the subcutaneous vascular network distribution and the hemoglobin concentration distribution in the spectral metabolic parameters, dense vascular regions are marked using image processing tools;

[0022] Metabolic parameters are integrated as follows: thermal imaging temperature distribution is superimposed with hemoglobin concentration distribution to generate a metabolic activity thermogram.

[0023] Structural defect analysis involves: calculating the curvature based on three-dimensional point cloud coordinates to locate skin depressions or wrinkles; and marking pigmented or spotted areas through melanin distribution in spectral metabolic parameters.

[0024] The morphological features of the three-dimensional point cloud coordinates were extracted and integrated with the stratum corneum thickness distribution and epidermal-dermal junction structure of the OCT data as the structural layer of the three-dimensional health map.

[0025] By fusing the temperature distribution in thermal imaging with the hemoglobin concentration distribution in spectral metabolic parameters, a thermal map of microcirculation status and markers of abnormal temperature gradient regions are generated, serving as the metabolic layer of a three-dimensional health atlas.

[0026] Based on the skin depressions or wrinkles in three-dimensional point cloud coordinates and the pigmentation or spots in spectral metabolic parameters, structural defect markers are generated as defect layers in the three-dimensional health map.

[0027] Furthermore, the generation methods for the dynamic energy configuration parameters and safety control strategies include:

[0028] Based on the skin health atlas, a vascular distribution map is extracted by the distribution of subcutaneous vascular networks. The vascular distribution map and the stratum corneum thickness map are binarized to generate a preliminary vascular region mask and a stratum corneum thickness mask. The vascular region mask includes vascular-dense areas and non-vascular-dense areas, and the stratum corneum thickness mask includes stratum corneum thick areas and stratum corneum thin areas.

[0029] By processing the vascular region mask through morphological closing operations, continuous vascular region markers are formed while preserving the boundary integrity of non-vascular dense areas.

[0030] Furthermore, morphological closing operations are performed on the thick stratum corneum region in the stratum corneum thickness mask.

[0031] By combining the stratum corneum thickness map and blood vessel distribution map after the closing operation, the regions that belong to the thick stratum corneum region but are not densely blood vessels are extracted and marked as high tolerance regions.

[0032] The system calls upon a pre-set energy rule library to assign initial laser wavelengths and energy densities to high-tolerance and non-high-tolerance regions.

[0033] By synchronizing the sensor channels through FPGA hardware, the reflectance spectrum, impedance and epidermal temperature of all areas of the skin epidermis are collected synchronously, and key parameters, including erythema index and microcirculation speed, are monitored in real time.

[0034] Based on real-time acquired reflectance spectrum, impedance, skin temperature and key parameters, dynamic energy configuration parameters and safety control strategies are generated through dynamic threshold adaptation, multi-parameter fusion judgment and hierarchical response mechanism.

[0035] The dynamic energy configuration parameters include laser wavelength, energy density, and energy transfer ratio, and the safety control strategy is the corresponding response measures in the graded response mechanism.

[0036] Furthermore, the dynamic threshold adaptation method includes:

[0037] The oxygenation status of hemoglobin is calculated by reflectance spectroscopy and used as the erythema index. The temperature gradient and impedance change rate are obtained by epidermal temperature and impedance. Then, the erythema index, temperature gradient and impedance change rate are normalized.

[0038] Obtain current environmental parameters, including ambient temperature and ambient humidity;

[0039] Based on skin health profiles, temperature gradients, impedance change rate, erythema index, and ambient temperature and humidity, basic safe temperature thresholds, erythema index thresholds, and impedance change rate thresholds are set. Threshold adjustment factors suitable for the current phototherapy conditions are calculated, and dynamic thresholds are adjusted and generated based on the threshold adjustment factors.

[0040] The modulatory factors include stratum corneum tolerance factors, vascular risk factors, and environmental compensatory factors;

[0041] The stratum corneum tolerance factor is defined as the safe temperature threshold of a region that is detected as having a thin stratum corneum, which is then proportionally lowered.

[0042] Vascular risk factors are defined as follows: if the hemoglobin concentration in a region exceeds a preset hemoglobin concentration threshold, the erythema index threshold is adjusted proportionally.

[0043] The environmental compensation factors include the environmental temperature compensation factor and the environmental humidity compensation factor. The environmental temperature compensation factor is defined as reducing the safe temperature threshold proportionally if the environmental temperature is greater than the preset environmental temperature threshold.

[0044] The environmental humidity compensation factor is defined as increasing the impedance change rate threshold proportionally if the environmental humidity is lower than the preset environmental humidity threshold.

[0045] Based on the basic safe temperature threshold, and adjusted by combining the stratum corneum tolerance factor and the ambient temperature compensation factor, a dynamic temperature threshold is generated.

[0046] Based on the baseline erythema index threshold, the number of times the hemoglobin concentration exceeds the preset hemoglobin concentration threshold during phototherapy is read as the historical alarm count. This is then adjusted in conjunction with vascular risk factors to generate a dynamic erythema index threshold.

[0047] Based on the baseline impedance change rate threshold, the allowable range of impedance change rate is adjusted according to the environmental humidity compensation factor to generate a dynamic impedance threshold.

[0048] Furthermore, the multi-parameter fusion determination method includes:

[0049] Based on the dynamic thresholds for temperature, erythema index, and impedance, the difference between the current value of the parameter corresponding to each dynamic threshold and the dynamic threshold is standardized, and the temperature deviation, erythema index deviation, and impedance deviation are calculated respectively.

[0050] The temperature deviation, erythema index deviation, and impedance deviation are weighted and summed to obtain a comprehensive risk value; and the risk level is divided into low risk, medium risk, and high risk based on the comprehensive risk value.

[0051] Furthermore, the graded response mechanism includes a first-level response, a second-level response, and a third-level response;

[0052] Based on the dynamic thresholds for temperature, erythema index, impedance, and risk level for each region, if the skin temperature in the current region exceeds the dynamic threshold for temperature, a Level 1 response is triggered.

[0053] The response measures for a Level 1 response are defined as immediately cutting off energy and forced cooling. Immediately cutting off energy means shutting down the laser output in the current area.

[0054] Forced cooling includes mild over-temperature cooling, moderate over-temperature cooling, and severe over-temperature cooling. An over-temperature ratio range is set. Based on the skin temperature being greater than the temperature dynamic threshold, the ratio of the difference between the skin temperature and the temperature dynamic threshold to the temperature dynamic threshold is taken as the over-temperature ratio. If the over-temperature ratio is less than the minimum value of the over-temperature ratio range, it is determined to be mild over-temperature, and mild over-temperature cooling is triggered.

[0055] If the over-temperature ratio is greater than or equal to the minimum value of the over-temperature ratio range and less than the maximum value of the over-temperature ratio range, it is determined to be a moderate over-temperature and moderate over-temperature cooling is triggered.

[0056] If the over-temperature ratio is greater than or equal to the maximum value of the over-temperature ratio range, it is determined to be a severe over-temperature and severe over-temperature cooling is triggered.

[0057] If the erythema index in the current area exceeds the dynamic threshold of the erythema index, or the risk level is medium risk, a level 2 response will be triggered.

[0058] The response measures for the second-level response are defined as reducing energy density, increasing the length of the laser wavelength, cross-regional energy transfer, and local cooling. Cross-regional energy transfer involves selecting a neighboring low-response region through a path planning algorithm and proportionally transferring the energy of the current region to the low-response region. The neighboring low-response region is a region with a thick stratum corneum, no structural defect markers, and located in the same phototherapy area. Local cooling involves initiating mild over-temperature cooling of the current region.

[0059] If the current risk level of the area is high, or if two or more of the skin temperature, erythema index and impedance change rate are greater than or equal to the corresponding dynamic threshold, a level 3 response is triggered.

[0060] The response measures for a Level 3 response are defined as immediately suspending phototherapy globally, locking the equipment operation, forcing manual intervention, automatically generating a risk report, which includes real-time data on skin temperature, erythema index, impedance change rate, comprehensive risk value change curve, and historical adjustment records of dynamic thresholds, and sending the risk report to the operator.

[0061] Furthermore, the generation method of the phototherapy execution log includes:

[0062] Based on the skin health map and dynamic energy configuration parameters, and based on the structural layers in the skin health map, the first preheating power, the second preheating power, and the preheating time ratio are set.

[0063] For areas with thick stratum corneum, the RF preheating power is adjusted to the first preheating power; for areas with thin stratum corneum, the RF preheating power is adjusted to the second preheating power. When a structural defect marker is detected in an area, the preheating time is increased proportionally to the standard preheating time. This generates an RF preheating power distribution map, and the power and preheating time of each area are marked on the RF preheating distribution map.

[0064] Based on the metabolic layer in the skin health atlas, the initial energy density is allocated to the high tolerance area, and the energy density is allocated to the densely vascularized area using a preset degraded energy density combined with a contact cooling strategy. This generates a laser energy density allocation matrix, which is then associated with three-dimensional point cloud coordinates to define the irradiation position.

[0065] The spatial constraints are defined as avoiding areas marked with structural defects, areas with dense blood vessels, and areas where the epidermal temperature exceeds the dynamic temperature threshold, and areas with thick stratum corneum are preferred as alternative paths.

[0066] Based on the laser energy density matrix and safety control strategy, an initial laser path coordinate set is generated through a path planning algorithm;

[0067] When the laser path is about to enter a densely vascularized area or the real-time monitored epidermal temperature exceeds the dynamic temperature threshold, the path replanning algorithm is triggered to generate an updated laser path coordinate set through spatial constraints.

[0068] Perform regional energy loading according to the radio frequency preheating power distribution map. After completion, activate the laser to irradiate according to the path coordinate set, and simultaneously record the actual energy deposition, epidermal temperature changes and triggered graded response mechanisms to generate a phototherapy execution log.

[0069] Furthermore, the methods for forming closed-loop optimization include:

[0070] Based on the defect layer of the skin health map, current metabolic indicators, including elastin content, pigmentation degree and hemoglobin concentration, are collected by spectral detection equipment;

[0071] Based on skin health atlas, phototherapy execution logs, and metabolic indicators, the three-dimensional point cloud coordinates before and after phototherapy are compared to calculate the surface smoothness improvement rate of the skin in each region. The surface smoothness improvement rate is then correlated with the corresponding region data in the laser energy density allocation matrix to generate energy density correlation data.

[0072] Integrate metabolic indicators before and after phototherapy to form a curve showing the change in metabolic indicators;

[0073] Integrate surface smoothness improvement rate, metabolic index change curves, and energy density correlation data to generate a efficacy evaluation report;

[0074] Based on the efficacy evaluation report and historical phototherapy execution log, if the improvement rate of surface smoothness in a region is less than the preset smoothness improvement rate threshold and the elastin content is less than the preset protein content, it is marked as a high-risk region; a preset energy attenuation strategy is triggered for the high-risk region.

[0075] If the improvement rate of surface smoothness in a region is greater than or equal to the preset smoothness improvement rate threshold, it is marked as an enhanced treatment region; a preset energy density enhancement strategy is activated for the enhanced region.

[0076] After phototherapy is performed on patients, the parameters of the judgment threshold in the safety control strategy are corrected based on the clinical re-examination results of the patients through reinforcement learning algorithm, the energy rule base is updated, the weight coefficients of the ICP registration algorithm are recalibrated, the generation accuracy of the skin health map is optimized, and a data-driven closed-loop optimization is formed.

[0077] Furthermore, a medical aesthetic device with an LED light source is provided, wherein the medical aesthetic device is equipped with a phototherapy-based body beauty system.

[0078] The technical effects and advantages of the medical aesthetic device and phototherapy-based body beauty system of the present invention are as follows:

[0079] This invention integrates optical coherence tomography (OCT), thermal imaging, three-dimensional point cloud, and spectral metabolic parameters through multimodal scanning and a three-dimensional skin modeling unit. It uses the ICP registration algorithm to generate a high-precision skin health map, realizing a three-dimensional analysis of skin structure, metabolic state, and defects, providing a precise biometric basis for personalized phototherapy.

[0080] Secondly, the dynamic energy planning and safety control unit, based on the skin health map, uses morphological segmentation, energy rule library calling and dynamic threshold algorithm to allocate differentiated laser parameters (wavelength, energy density, cooling strategy) to different areas, and monitors key indicators such as epidermal temperature and erythema index in real time. Combined with a graded response mechanism (such as energy adjustment, path replanning, and forced pause), it significantly improves the safety boundary and adaptability of treatment.

[0081] Next, the multimodal energy-coordinated phototherapy unit dynamically adjusts the laser irradiation path using a six-axis robotic arm and path planning algorithm, avoiding densely vascularized and sensitive areas to ensure uniform illumination and complete treatment coverage, thus solving the unevenness problem caused by manual operation in traditional equipment. Subsequently, the adaptive closed-loop optimization unit continuously updates the energy rule base, threshold parameters, and registration algorithm weights based on phototherapy execution logs and efficacy evaluation reports through reinforcement learning algorithms, forming a data-driven optimization closed loop. This reduces the need for manual intervention and improves the system's adaptability to individual differences through the accumulation of historical data.

[0082] Finally, the system upgrades risk control from passive response to active intervention through multi-parameter fusion judgment and hierarchical response mechanism, effectively avoiding side effects such as burns and overtreatment. At the same time, through structural defect analysis and metabolic index tracking, it significantly improves the predictability of treatment effects and long-term efficacy.

[0083] Overall, this invention not only achieves precise, dynamic, and intelligent configuration of phototherapy parameters, but also constructs a closed-loop system covering the entire process from data collection and risk assessment to treatment optimization, redefining the technical standards of phototherapy aesthetics in terms of safety, personalization, and intelligence.

[0084] This invention provides a beauty device with a built-in control system. The beauty device is a wearable product and can be a vest-style or blanket-style structure. It has a built-in rechargeable battery and can be charged. The beauty device can be made of rigid material or soft material such as silicone. When made as a vest-style device, the cuffs are detachable, which can be achieved by using zippers or Velcro. Attached Figure Description

[0085] Figure 1 This is a schematic diagram of a phototherapy-based body beauty system according to the present invention;

[0086] Figure 2 This is a schematic diagram illustrating the dynamic energy planning and safety control of a phototherapy-based body beauty system according to the present invention.

[0087] Figure 3 This is a schematic diagram of a phototherapy-based body beauty method according to the present invention;

[0088] Figure 4 This is a schematic diagram of one embodiment of a medical aesthetic device with an LED light source according to the present invention;

[0089] Figure 5 This is a schematic diagram of another form of a medical aesthetic device with an LED light source according to the present invention. Detailed Implementation

[0090] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0091] Example 1

[0092] Please see Figures 1-2As shown in this embodiment, a phototherapy-based body beauty system includes:

[0093] Multimodal scanning and 3D skin modeling unit: Acquires optical coherence tomography data of skin structure, thermal imaging temperature distribution and 3D point cloud coordinates, and generates skin health atlas through ICP registration algorithm;

[0094] Dynamic Energy Planning and Safety Control Unit: Based on the skin health map, it segments the high tolerance area and the densely vascularized area through morphological closing operation; it calls the pre-set energy rule library to allocate laser wavelength, energy density and cooling parameters to each area; it adjusts the dynamic threshold of temperature, dynamic threshold of erythema index and dynamic threshold of impedance change rate in real time through dynamic threshold adaptive algorithm; it determines the risk level through multi-parameter fusion and triggers the graded response mechanism to generate dynamic energy configuration parameters and safety control strategy;

[0095] Multimodal energy-coordinated phototherapy and real-time optimization unit: Based on dynamic energy configuration parameters, the skin surface is preheated in different regions according to the thickness of the stratum corneum, and the preheating time is extended according to structural defect markers; Based on three-dimensional point cloud coordinates and spatial constraints, the laser path planning is dynamically adjusted through path replanning algorithm to generate phototherapy execution log;

[0096] Adaptive closed-loop optimization unit: Based on phototherapy execution logs, it generates efficacy evaluation reports and constructs a photoaging risk map by combining historical phototherapy data; it implements energy attenuation strategies for high-risk areas and energy density enhancement strategies for enhanced areas; it updates the energy rule base, judgment threshold parameters, and registration algorithm weight coefficients through reinforcement learning algorithms to form a closed-loop optimization.

[0097] A fixed OCT (Optical Coherence Tomography) module and a movable spectral probe mounted on a robotic arm are coupled via optical fiber to form a split scanning system;

[0098] Based on the split-type scanning system, the OCT module uses a frequency-scanning light source (such as a center wavelength of 1310nm) to transmit near-infrared light to the probe through optical fiber, penetrating the skin surface to deep tissues (such as 5mm depth) to generate high-resolution skin layer images (axial resolution <10μm, lateral resolution <20μm), capturing the thickness of the stratum corneum, the structure at the epidermal-dermal junction, and the distribution of the subcutaneous vascular network as OCT data;

[0099] A thermal imaging camera is mounted on a robotic arm probe to monitor and collect the thermal imaging temperature distribution of the skin epidermis in real time, which is used to assess the metabolic activity and microcirculation status in areas with dense blood vessels.

[0100] Synchronously drive the ToF camera to emit invisible light pulses, and generate three-dimensional point cloud coordinate data of the whole body through time-of-flight calculation, providing global spatial coordinate reference. Based on the curvature calculation of the three-dimensional point cloud coordinates (such as Gaussian curvature analysis), it can locate skin depressions or wrinkles.

[0101] The robotic arm probe, equipped with a near-infrared spectrometer, collects the reflectance spectrum (900-1700nm band) that penetrates the skin epidermis. The distribution of hemoglobin concentration, water content, and melanin (quantified by near-infrared spectroscopy) is obtained through characteristic absorption peak analysis. These are used as spectral metabolic parameters to quantify microcirculation status and metabolic parameters. The melanin distribution can be used to quantify pigmentation or spot areas.

[0102] During data acquisition, a ring-shaped polarization light source and a rotating polarizer are deployed to work together to dynamically adjust the polarization direction (e.g., 0° to 180° step rotation) to eliminate surface reflection interference from the skin epidermis; and the data acquisition frequencies of the OCT module, thermal imaging camera, near-infrared spectrometer and ToF camera are synchronized through a hardware timing controller (e.g., FPGA) to ensure the spatial and temporal consistency of multimodal data.

[0103] Based on the collected OCT data, thermal imaging temperature distribution, 3D point cloud coordinates, and spectral metabolic parameters, the parameters of the OCT module, thermal imaging camera, near-infrared spectrometer, and ToF camera are calibrated using a calibration board to align the local coordinates of the OCT, the pixel coordinates of the thermal imaging, and the global coordinate system of the 3D point cloud.

[0104] The ICP registration (iterative nearest point) algorithm is used to match the stratum corneum thickness and subcutaneous vascular network distribution of OCT data with the coordinates of the three-dimensional point cloud layer by layer. By minimizing the distance error between the three-dimensional point cloud and the OCT surface, spatial registration is performed (sub-millimeter level spatial registration can be achieved).

[0105] For the spatially registered OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, multi-parameter fusion and feature extraction are performed to generate a three-dimensional health map as a skin health map.

[0106] The multi-parameter fusion and feature extraction includes structural parameter integration, metabolic parameter integration, and structural defect analysis; the three-dimensional health atlas includes structural layers, metabolic layers, and defect layers;

[0107] The structural parameters are integrated as follows: grayscale threshold segmentation is performed on the stratum corneum thickness to generate a stratum corneum thickness distribution map; combined with the distribution of subcutaneous vascular network and hemoglobin concentration distribution in spectral metabolic parameters, dense vascular regions are marked by image processing tools (such as ImageJ);

[0108] An exemplary method is to use an automatic thresholding algorithm (such as the Otsu method or the Isodata method) of an image processing tool (such as ImageJ) to calculate the optimal segmentation threshold;

[0109] The labeling principle is to separate blood vessels from the background by statistically analyzing the gray-level histogram of the image and selecting the threshold that maximizes the inter-class variance.

[0110] The OCT vascular network image or the heat map of hemoglobin concentration distribution is converted to grayscale. The automatic thresholding algorithm of the image processing tool is used to generate a binary image (the vascular area is white and the background is black). The area ratio or density of the white area in the binary image is counted. Areas exceeding the preset ratio (e.g., >20%) are marked as "dense vascular area".

[0111] The metabolic parameters are integrated as follows: the thermal imaging temperature distribution is superimposed with the hemoglobin concentration distribution to generate a metabolic activity thermogram, which is used to assess the microcirculation status in densely vascularized areas.

[0112] Structural defect analysis is as follows: Based on the curvature calculation of three-dimensional point cloud coordinates (e.g., Gaussian curvature exceeding a preset threshold), skin depressions or wrinkles are located (by calculating the curvature of the three-dimensional point cloud (e.g., Gaussian curvature or average curvature), the curvature value of depressions or wrinkles is usually significantly higher or lower than that of the surrounding smooth areas; curvature calculation is performed on the three-dimensional point cloud to generate a curvature distribution map, and a curvature threshold is set (e.g., Gaussian curvature > 0.5), and areas exceeding the threshold are marked as depressions or wrinkles); through the melanin distribution in spectral metabolic parameters, pigmentation or spot areas are marked (areas with high melanin content (e.g., spots) have characteristic absorption peaks in the near-infrared spectrum (e.g., around 1450nm), and the melanin distribution is quantified through spectral data; the band corresponding to melanin in the near-infrared spectral data (e.g., 1450nm) is extracted, and a melanin concentration threshold is set (e.g., higher than 1.2 times the average value), and areas exceeding the threshold are marked as pigmentation);

[0113] The morphological features (such as wrinkle depth) of the three-dimensional point cloud coordinates are extracted and integrated with the stratum corneum thickness distribution and epidermal-dermal junction structure of the OCT data as the structural layer of the three-dimensional health map.

[0114] By fusing the thermal imaging temperature distribution with the hemoglobin concentration distribution in the spectral metabolic parameters, a microcirculation state thermal map is generated (the thermal imaging temperature distribution and the hemoglobin concentration map are superimposed pixel by pixel to generate a thermal map) and a temperature gradient abnormal region marker (the temperature gradient between adjacent pixels is calculated, a gradient threshold is set (e.g., >5℃ / mm), and regions exceeding the threshold are marked as abnormal), which serve as the metabolic layer of the three-dimensional health atlas.

[0115] Based on the skin depression or wrinkle region and the pigmentation or spot region of spectral metabolic parameters based on the three-dimensional point cloud coordinates (input the curvature data of the three-dimensional point cloud (to locate wrinkles / depressions) and the melanin distribution of the spectrum (to locate spots), set multimodal fusion rules (such as "abnormal curvature or excessive melanin"), and mark it as a structural defect region), generate structural defect markers as the defect layer of the three-dimensional health map.

[0116] It should be noted that the 3D health map is an interactive 3D model file (such as STL format), which integrates metadata tags of OCT data, thermal imaging temperature distribution, 3D point cloud coordinates and spectral metabolic parameters as input for subsequent phototherapy planning.

[0117] Based on skin health atlases, a vascular distribution map is extracted from the subcutaneous vascular network. The vascular distribution map and stratum corneum thickness map are binarized to generate preliminary vascular region masks and stratum corneum thickness masks. The vascular region mask includes densely vascular and non-densely vascular regions (the vascular distribution map is divided into densely vascular and non-densely vascular regions based on the densely vascular regions). The stratum corneum thickness mask includes thick and thin stratum corneum regions (e.g., a stratum corneum thickness threshold is set (based on industry standards or expert experience, such as >20μm); regions in the stratum corneum thickness map smaller than the threshold are marked as thin stratum corneum regions; regions greater than or equal to the threshold are marked as thick stratum corneum regions).

[0118] By processing the vascular region mask through morphological closing operations, small holes in densely vascular areas are filled to form continuous vascular region markers, while preserving the boundary integrity of non-densely vascular areas.

[0119] Furthermore, morphological closing operations are performed on the thick stratum corneum region in the stratum corneum thickness mask to fill the small holes in the thick stratum corneum region.

[0120] An exemplary procedure for closing blood vessel regions: performing closing operations on regions with thick stratum corneum to enhance their continuity;

[0121] Choose a larger circle as the structural element (e.g., with a radius of 5-10 pixels) to cover a larger area of ​​the thick stratum corneum.

[0122] An exemplary operation flow for closing the thick stratum corneum region: expansion (filling the small pores inside the blood vessel region) → erosion (restoring the smoothness of the boundary);

[0123] Choose circular or elliptical structural elements (e.g., radius 3-5 pixels) to fit the shape of the vascular network; adjust the number of iterations according to the size of the holes (e.g., 1-3 iterations);

[0124] By combining the stratum corneum thickness map and blood vessel distribution map after the closing operation, the regions that belong to the thick stratum corneum region but are not densely blood vessels are extracted and marked as high tolerance regions.

[0125] Opening operations are performed on high-tolerance regions to remove residual noise, morphological gradient operations are used to enhance boundary clarity, and the segmentation results are further corrected by combining OCT structural data and spectral metabolic parameters (such as hemoglobin concentration) (such as excluding misjudged dense vascular regions).

[0126] It should be noted that by extracting the thickness of the stratum corneum and the distribution of blood vessels through OCT data, static masks of densely vascularized areas and high tolerance areas are generated, providing a spatial basis for energy allocation (such as allowing higher energy density in high tolerance areas).

[0127] The system calls upon a pre-set energy rule library to assign initial laser wavelengths and energy densities to high-tolerance and non-high-tolerance regions.

[0128] The pre-set energy rule library can be configured based on the experience of professionals or industry standards in actual use. For example, the laser wavelength can be set to 1064nm for deep chromaticity and 532nm for superficial blood vessels; the energy density can be set to 10J / cm² in the high-tolerance zone. 2 The non-high tolerance region is limited to 5J / m 2 ;

[0129] By synchronizing the sensor channels through FPGA hardware, the system can synchronously acquire the reflectance spectrum (the spectral signal reflected after the skin is irradiated with near-infrared or visible light, used to monitor the optical properties of the skin surface (such as melanin, hemoglobin concentration, and water content)), impedance (by applying microcurrent through electrodes to measure the impedance value of different areas of the skin, reflecting the electrical properties of the skin tissue, used to assess water content, vascular status, or tissue damage), and epidermal temperature (obtained through the output signal of thermocouples, thermal imaging sensors, or infrared temperature sensors, with an accuracy of ±0.1℃, used to monitor the skin epidermal temperature in real time and prevent overheating or low-temperature damage). It also monitors key parameters in real time, including the erythema index (quantified by spectrometer analysis) and microcirculation velocity (calculated by the rate of change of hemoglobin concentration).

[0130] It should be noted that synchronizing the sensor channels through FPGA hardware control ensures that the three types of data—reflector placement, impedance, and temperature—are perfectly aligned in time (with nanosecond precision). All sensors are triggered to sample through a unified FPGA clock source to eliminate clock drift. The FPGA sends a unified sampling trigger pulse to control each sensor to start collecting data at the same time. Each data packet collected is marked with an FPGA clock count accurate to the nanosecond to ensure timestamp consistency.

[0131] By combining spectral metabolic parameters (hemoglobin concentration, melanin distribution) with thermal imaging temperature distribution, areas with active microcirculation can be marked, which can avoid overstimulation of densely vascularized areas and reduce the risk of erythema.

[0132] Based on real-time acquired reflectance spectrum, impedance, skin temperature and key parameters, dynamic energy configuration parameters and safety control strategies are generated through dynamic threshold adaptation, multi-parameter fusion judgment and hierarchical response mechanism.

[0133] Dynamic energy configuration parameters include laser wavelength (e.g., 532nm→650nm) and energy density (e.g., 10J / cm²). 2 →8J / cm 2 The safety control strategy is the corresponding response measures in the graded response mechanism (such as cooling method, phototherapy pause instruction, operator manual intervention prompt) and energy transfer ratio (e.g., 80%).

[0134] It should be noted that the skin health atlas is the foundation of static analysis, while real-time data acquisition and dynamic threshold adaptation are key to dynamic adjustment. The role of the skin health atlas is static analysis and initial parameter allocation. Based on the patient's current skin structure, metabolic state, and defect distribution, it predicts the initial range of safe energy configuration. According to the static analysis results, it calls the preset rule library to pre-set laser wavelengths (e.g., 1064nm for deep pigmentation) and energy densities (e.g., 10J / cm² in high-tolerance areas). 2 However, the rule base is based on the "average value" of historical data and cannot adapt to individual differences or dynamic changes during the phototherapy process in real time (such as changes in impedance caused by rising ambient temperature or patient sweating).

[0135] During phototherapy, it is necessary to monitor changes in the patient's condition in real time and dynamically adjust the initial parameters to ensure safety and effectiveness.

[0136] The oxygenation status of hemoglobin is calculated by reflectance spectroscopy (the degree of erythema or the distribution of hemoglobin concentration in the skin is assessed by reflectance spectroscopy analysis, such as taking the ratio of the reflected light intensity at a wavelength of 577nm to the reflected light intensity at a wavelength of 805nm as the oxygenation status of hemoglobin, i.e., the erythema index), and the temperature gradient (temperature change rate per second) and impedance change rate are obtained by epidermal temperature and impedance (the difference between the current impedance and the initial impedance is calculated, and the ratio is calculated with the initial impedance, and then multiplied by 100 to obtain the impedance change rate). Then, the erythema index, temperature gradient and impedance change rate are normalized (normalized to the [0, 1] interval for easy subsequent calculation).

[0137] Obtain current environmental parameters, including ambient temperature and ambient humidity;

[0138] Based on skin health profiles, temperature gradients, impedance change rate, erythema index, and ambient temperature and humidity, set basic safe temperature thresholds (e.g., 42℃), erythema index thresholds (e.g., 0.8), and impedance change rate thresholds (e.g., ±10%). Calculate threshold adjustment factors suitable for the current phototherapy conditions, and adjust and generate dynamic thresholds based on these threshold adjustment factors.

[0139] The modulatory factors include stratum corneum tolerance factors, vascular risk factors, and environmental compensatory factors;

[0140] The stratum corneum tolerance factor is defined as follows: if an area is detected as a thin stratum corneum area, the safe temperature threshold of the area will be reduced proportionally (for example, the stratum corneum can be divided into different thickness levels according to its thickness, and the temperature threshold will be reduced by a certain percentage for each thickness level).

[0141] Example: If the stratum corneum thickness is less than 15 μm, the temperature threshold decreases by 20%;

[0142]

[0143] Vascular risk factors are defined as follows: if the hemoglobin concentration in the region exceeds a preset hemoglobin concentration threshold (the hemoglobin concentration threshold can be set according to the normalization value, such as 0.7, that is, the normalized value is higher than 0.7), then the erythema index threshold is adjusted proportionally (for example, the erythema index threshold is reduced by a certain percentage).

[0144] Higher hemoglobin concentration means higher vascular density, which increases the risk of local overheating, so the threshold of the erythema index needs to be tightened accordingly.

[0145] Example: If the normalized value of hemoglobin concentration is greater than 0.7, it is determined to be a high-risk area for hemoglobin concentration, and the erythema index threshold is reduced by 30%, that is, vascular risk factor = erythema index threshold × (1-0.3);

[0146] The environmental compensation factors include the environmental temperature compensation factor and the environmental humidity compensation factor. The environmental temperature compensation factor is defined as follows: if the environmental temperature is greater than the preset environmental temperature threshold (e.g., higher than 30℃), the safe temperature threshold will be reduced proportionally (e.g., reduced by an additional 1℃).

[0147] The environmental humidity compensation factor is defined as increasing the impedance change rate threshold proportionally if the environmental humidity is lower than the preset environmental humidity threshold (for example, allowing the impedance change rate fluctuation range to be expanded by 15%).

[0148] Considering the impact of environmental factors on skin reactions, for example, in high-temperature environments, the safety temperature threshold needs to be further reduced due to reduced heat dissipation efficiency; while in low-humidity conditions, the skin becomes drier, which affects the impedance value, and in this case, the threshold range of impedance change rate can be appropriately widened.

[0149] Example:

[0150] Based on the basic safe temperature threshold, and adjusted by combining the stratum corneum tolerance factor and the ambient temperature compensation factor, a dynamic temperature threshold is generated.

[0151] Temperature dynamic threshold = Basic safe temperature threshold × (1 + stratum corneum tolerance factor) + Ambient temperature compensation factor;

[0152] Example: Basic safe temperature threshold 42℃ → thin stratum corneum area (-20%) + high ambient temperature (-1℃) → dynamic temperature threshold is 32.6℃;

[0153] Based on the baseline erythema index threshold, the number of times the hemoglobin concentration exceeds the preset hemoglobin concentration threshold during phototherapy is read as the historical alarm count. This is then adjusted in conjunction with vascular risk factors to generate a dynamic erythema index threshold.

[0154] Erythema Index Dynamic Threshold = Baseline Erythema Index Threshold × e -k×(血管风险因子+历史报警)

[0155] Where k is a manually set adjustment factor that controls the rate of erythema threshold decay. For example, k = 0.1 means that for every 1 unit increase in risk factor, the threshold decays by approximately 10%. e is the natural index, and the exponential term e in the formula is... -k×(血管风险因子+历史报警) This indicates that the dynamic threshold of the erythema index decreases exponentially with the increase of vascular risk and historical risk. The meaning of defining the dynamic threshold of the erythema index as non-linear decay is that the superposition of risk factors (vascular density and historical warnings) will accelerate the decay of the threshold, ensuring a sensitive response to high-risk areas.

[0156] This formula is used to dynamically adjust the threshold of the erythema index during laser treatment to ensure the safety and effectiveness of phototherapy. Its core logic is to dynamically reduce the allowable threshold of the erythema index based on the density of blood vessels and the risk history during phototherapy (such as the number of erythema alerts), thereby avoiding excessive stimulation of the skin.

[0157] Example: Baseline erythema index threshold 0.8 → Vascular risk factor 0.7 (i.e., high vascular risk (-30%)), historical alarm count 2, attenuation coefficient 0.1 → dynamic threshold 0.61;

[0158] Reducing the dynamic threshold of the erythema index from 0.8 to 0.61 significantly reduced the permissible degree of erythema in this area, preventing further damage;

[0159] Based on the baseline impedance change rate threshold, the allowable range of impedance change rate is adjusted according to the environmental humidity compensation factor to generate a dynamic impedance threshold.

[0160] Impedance dynamic threshold = Basic impedance change rate threshold ± ΔAmbient humidity compensation factor.

[0161] Example: Impedance change rate threshold ±10% → Ambient humidity compensation factor +0.15 (i.e., increase by 15%) → Impedance change rate threshold relaxed to ±11.5%;

[0162] Based on the dynamic thresholds for temperature, erythema index, and impedance, the difference between the current value of the parameter corresponding to each dynamic threshold and the dynamic threshold is standardized, and the temperature deviation, erythema index deviation, and impedance deviation are calculated respectively.

[0163] The formula is:

[0164] For example: (Temperature deviation is 0.026, which is 2.6% above the dynamic temperature threshold);

[0165] If the current value of the erythema index is 0.7, the dynamic threshold is 0.6 → deviation = (0.7-0.6) / 0.6≈0.167 (that is, it exceeds the dynamic threshold by 16.7%).

[0166] The temperature deviation, erythema index deviation, and impedance deviation are weighted and summed to obtain the comprehensive risk value; (the weight of each deviation can be preset according to the sensitivity of the parameters to risk and the requirements of the scenario (e.g., temperature weight 0.4, erythema index 0.3, impedance 0.3)).

[0167] Example: Temperature deviation 0.026 × weight 0.4 = 0.01, Erythema deviation 0.167 × weight 0.3 = 0.05, Impedance deviation (assumed to be 0.05) × weight 0.3 = 0.015, Overall risk value = 0.01 + 0.05 + 0.015 = 0.075;

[0168] Risk levels are classified according to the comprehensive risk value, including low risk, medium risk and high risk (e.g., low risk (comprehensive risk value < 0.3), medium risk (0.3 ≤ comprehensive risk value < 0.7), high risk (comprehensive risk value ≥ 0.8)).

[0169] Based on the response results of the current deviation and risk level, the subsequent thresholds are dynamically adjusted;

[0170] For example, if the erythema index exceeds the standard multiple times, the dynamic threshold can be further reduced (e.g., adjusted from 0.6 to 0.5); if the ambient temperature increases, the dynamic temperature threshold can be increased (e.g., adjusted from 38℃ to 39℃).

[0171] Example: Current skin temperature: 39℃ (dynamic threshold 38℃); Current erythema index: 0.7 (dynamic threshold 0.6); Current impedance: +15% (dynamic threshold ±10%);

[0172] Calculation: Temperature deviation ≈ 0.026 → multiplied by weight: 0.026 × 0.4 = 0.01; Erythema deviation ≈ 0.167 → multiplied by weight: 0.167 × 0.3 = 0.05; Impedance deviation = 0.5 → multiplied by weight: 0.5 × 0.3 = 0.15; Overall risk value = 0.21 → low risk;

[0173] If the erythema index rises further to 0.8:

[0174] New comprehensive risk value = 0.01 (skin temperature) + (0.8-0.6) / 0.6 × 0.3 (erythema deviation × weight) + 0.15 (impedance) ≈ 0.01 + 0.1 + 0.15 = 0.26 → still low risk, but requires attention;

[0175] If the impedance deviation reaches +20%, the CRV may rise to 0.4, triggering a medium-risk event.

[0176] Based on the dynamic thresholds for temperature, erythema index, impedance, and risk level for each region, if the skin temperature in the current region exceeds the dynamic threshold for temperature, a Level 1 response is triggered.

[0177] The response measures for a Level 1 response are defined as immediately cutting off energy and forced cooling. Immediately cutting off energy means shutting down the laser output in the current area to prevent further damage.

[0178] Forced cooling includes mild over-temperature cooling, moderate over-temperature cooling, and severe over-temperature cooling. An over-temperature ratio range is set (which is a preset threshold range, such as [5%, 10%]). Based on the skin temperature being greater than the dynamic temperature threshold, the ratio of the difference between the skin temperature and the dynamic temperature threshold to the dynamic temperature threshold is taken as the over-temperature ratio. If the over-temperature ratio is less than the minimum value of the over-temperature ratio range (such as 0% ≤ over-temperature ratio < 5%), it is determined to be mild over-temperature, and mild over-temperature cooling is triggered (such as starting the air cooling system (wind speed 15m / s)).

[0179] If the over-temperature ratio is greater than or equal to the minimum value of the over-temperature ratio range and less than the maximum value of the over-temperature ratio range (e.g., 5% ≤ over-temperature ratio < 5%), it is determined to be a moderate over-temperature condition, triggering moderate over-temperature cooling (e.g., air cooling + contact cooling (Peltier cooling element, cooling rate 1℃ / second)).

[0180] If the overheating percentage is greater than or equal to the maximum value of the overheating percentage range (e.g., overheating percentage ≥ 10%), it is determined to be a severe overheating, triggering severe overheating cooling (e.g., emergency shutdown of the entire system phototherapy, triggering system-wide cooling and alarm, notifying the operator to intervene).

[0181] If the erythema index of the current area exceeds the dynamic threshold of the erythema index, or the risk level is medium risk (i.e., if either of the two conditions is met, a level 2 response is triggered), then a level 2 response is triggered.

[0182] The response measures for a second-order response are defined as reducing energy density (e.g., by 20%), increasing the laser wavelength (e.g., from 532nm to 650nm), cross-regional energy transfer, and local cooling. Cross-regional energy transfer involves selecting a neighboring low-response region using a path planning algorithm and transferring energy from the current region (e.g., 80% of the energy from the current region) to the low-response region. The neighboring low-response region is a region with a thick stratum corneum, no structural defect markers, and located within the same phototherapy area. Local cooling involves initiating mild over-temperature cooling in the current region.

[0183] If the current risk level of the area is high, or if two or more of the skin temperature, erythema index and impedance change rate are greater than or equal to the corresponding dynamic threshold, a level 3 response is triggered.

[0184] The response measures for a Level 3 response are defined as immediately suspending phototherapy globally, locking the equipment operation, automatically generating a risk report, including real-time data on skin temperature, erythema index, and impedance change rate, a comprehensive risk value change curve, and historical adjustment records of dynamic thresholds, forcing manual intervention, and sending the risk report to the operator.

[0185] Based on the skin health map and dynamic energy configuration parameters, and considering the structural layers within the skin health map, the first preheating power (e.g., 8W / cm²) is set. 2 ), second preheating power (e.g., 3W / cm) 2 The ratio of preheating time (e.g., 20%, which is 20% more than the standard preheating time to ensure uniform heating) should be set according to industry standards and expert experience.

[0186] For areas with thick stratum corneum, the RF preheating power is adjusted to the first preheating power; for areas with thin stratum corneum, the RF preheating power is adjusted to the second preheating power. When a structural defect marker is detected in an area, the preheating time is increased proportionally to the standard preheating time. This generates an RF preheating power distribution map, and the power and preheating time of each area are marked on the RF preheating distribution map.

[0187] Based on the metabolic layers in the skin health atlas, an initial energy density is allocated to high-tolerance areas, while a downgraded energy density is applied to densely vascular areas in combination with a contact cooling strategy (downgrading the initial energy density to a preset safety level, such as 60%; contact cooling involves continuously or intermittently activating the cooling device before, during, and after laser pulse emission (e.g., triggered synchronously with the laser pulse), with cooling devices such as air cooling, contact cooling heads, or cooling gel (applying thermally conductive gel to the skin surface)) to allocate energy density, thereby generating a laser energy density allocation matrix, and defining the irradiation position by associating it with three-dimensional point cloud coordinates;

[0188] The spatial constraints are defined as avoiding areas marked with structural defects, areas with dense blood vessels, and areas where the epidermal temperature exceeds the dynamic temperature threshold, and areas with thick stratum corneum are preferred as alternative paths.

[0189] Based on the laser energy density matrix and safety control strategy, an initial laser path coordinate set is generated through a path planning algorithm;

[0190] When the laser path is about to enter a densely vascularized area or the real-time monitored epidermal temperature exceeds the dynamic temperature threshold, the path replanning algorithm is triggered to generate an updated laser path coordinate set through spatial constraints.

[0191] Perform regional energy loading according to the radio frequency preheating power distribution map. After completion, activate the laser to irradiate according to the path coordinate set, and simultaneously record the actual energy deposition, epidermal temperature changes and triggered graded response mechanisms to generate a phototherapy execution log.

[0192] Based on the defect layer of the skin health map, current metabolic indicators, including elastin content, pigmentation degree and hemoglobin concentration, are collected by spectral detection equipment;

[0193] Based on skin health atlas, phototherapy execution logs, and metabolic indicators, the three-dimensional point cloud coordinates before and after phototherapy are compared to calculate the surface smoothness improvement rate of the skin in each region. The surface smoothness improvement rate is then correlated with the corresponding region data in the laser energy density allocation matrix to generate energy density correlation data.

[0194] Integrate metabolic indicators before and after phototherapy to form a curve showing the change in metabolic indicators;

[0195] Integrate surface smoothness improvement rate, metabolic index change curves, and energy density correlation data to generate a efficacy evaluation report;

[0196] Among them, the surface smoothness improvement rate is obtained by calculating the average height difference within the calculation area, that is, taking the difference between the average height before treatment and the average height after treatment, and calculating the ratio with the average height before treatment to obtain the surface smoothness improvement rate.

[0197] Based on the efficacy evaluation report and historical phototherapy execution log, if the improvement rate of surface smoothness in a region is less than the preset smoothness improvement rate threshold and the elastin content is less than the preset protein content, it is marked as a high-risk region; a preset energy decay strategy is triggered for the high-risk region (the energy of each treatment is reduced by a preset ratio).

[0198] If the improvement rate of surface smoothness in a region is greater than or equal to the preset smoothness improvement rate threshold, it is marked as an enhanced treatment region; a preset energy density enhancement strategy (increasing energy density by a preset ratio) is activated for the enhanced region;

[0199] After phototherapy, the judgment threshold in the safety control strategy was revised based on the patient's clinical re-examination results; the energy rule base was updated, the weight coefficients of the ICP registration algorithm were recalibrated, and the accuracy of skin health map generation was optimized.

[0200] The updated energy rule base, judgment thresholds, and skin health map will be used to generate the treatment plan for the next course of treatment, including energy distribution rules and path planning strategies.

[0201] Example 2

[0202] Please see Figure 3 As shown, parts not described in detail in this embodiment are described in Embodiment 1. A phototherapy-based body beauty method is provided, including:

[0203] S1: Collect OCT data of skin structure, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, fuse them and generate a skin health map through ICP registration algorithm;

[0204] S2: Based on the skin health atlas, the high tolerance area and the vascularized area are segmented by morphological closing operation; the laser wavelength, energy density and cooling parameters are assigned to each area by calling the pre-set energy rule library; the dynamic threshold, dynamic threshold of temperature, dynamic threshold of erythema index and dynamic threshold of impedance change rate are adjusted in real time by dynamic threshold adaptive algorithm; the risk level is divided by multi-parameter fusion and a graded response mechanism is triggered to generate dynamic energy configuration parameters and safety control strategies.

[0205] S3: Based on dynamic energy configuration parameters, the skin surface is preheated in different areas according to the thickness of the stratum corneum, and the preheating time is extended according to structural defect markings; based on three-dimensional point cloud coordinates and spatial constraints, the laser path planning is dynamically adjusted through path replanning algorithm to generate phototherapy execution log;

[0206] S4: Based on the phototherapy execution log, generate a efficacy evaluation report, and construct a photoaging risk map by combining historical phototherapy data; implement an energy attenuation strategy for high-risk areas and activate an energy density enhancement strategy for enhanced areas; update the energy rule base, the parameters of the judgment threshold, and the weight coefficients of the registration algorithm through reinforcement learning algorithm to form a closed-loop optimization.

[0207] Specifically, the system and method of this solution can be made into corresponding beauty products, which can be used for phototherapy on any part of the body. The material of the beauty product is not limited, and the wavelength of the light source includes, but is not limited to, the following corresponding wavelengths:

[0208] With a wavelength of 308nm, it can repair skin and mucous membrane ulcers and acne.

[0209] Wavelengths of 415nm-480nm can alleviate skin inflammation, reduce skin allergies, and treat acne.

[0210] With a wavelength of 532nm, it can treat superficial skin conditions such as freckles and age spots (seborrheic keratosis).

[0211] With a wavelength of 560nm, it calms and relieves fatigue, and treats rough skin.

[0212] With a wavelength of 585nm-590nm, it enhances the flow of human lymph, inhibits pigmentation, and whitens the skin;

[0213] With a wavelength of 610nm-670nm, it promotes blood circulation, accelerates wound healing, and rejuvenates the skin while improving wrinkles.

[0214] Wavelengths of 808nm and 810nm are used for human hair removal and treatment of skin conditions such as hairy nevi and pseudofolliculitis.

[0215] With a wavelength of 830nm, it reduces pigmentation in human skin, relieves skin inflammation, and prevents scar formation;

[0216] Wavelength 850-970nm, for the prevention or treatment of human wounds and scars;

[0217] With a wavelength of 980nm, it promotes the formation of new blood vessels in the human body, promotes collagen production, and eliminates inflammation;

[0218] With a wavelength of 1050nm, it reduces skin laxity and wrinkles, and improves facial capillary dilation.

[0219] With a wavelength of 1064nm, it can treat epidermal spots, dermal melasma, and pigmented diseases in people with dark skin.

[0220] With a wavelength of 1450nm, it can treat moderate to severe acne, folliculitis, and sebaceous gland hyperplasia on human skin.

[0221] Wavelengths of 1535nm and 1550nm are used for wrinkle removal and skin rejuvenation on human skin, as well as for atrophic scars.

[0222] Example 3

[0223] Please see Figure 4 and Figure 5As shown, parts not described in detail in this embodiment are described in Embodiment 1. A medical aesthetic device with an LED light source is provided, comprising:

[0224] This invention provides a beauty device with a built-in control system. This beauty device is a wearable product and can be a vest-style or blanket-like structure that can be attached to various parts of the body (e.g., neck, arms, chest, abdomen, back, legs, buttocks). The device has a built-in rechargeable battery and can be charged. It can be made of rigid material or soft silicone. When made as a vest, the cuffs are detachable, using zippers or Velcro. In use, for example, as a vest, the beauty device can be worn on the body. Figure 4 For example, a blanket-style device can be placed on the legs, such as... Figure 5 .

[0225] Example 4

[0226] This embodiment discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the operation mode of the phototherapy-based body beauty method described above.

[0227] Since the electronic device described in this embodiment is used to implement a phototherapy-based body beauty method according to the embodiments of this application, those skilled in the art can understand the specific implementation and various variations of the electronic device in this embodiment based on the phototherapy-based body beauty method described in the embodiments of this application. Therefore, how the electronic device implements the method in the embodiments of this application will not be described in detail here. Any electronic device used by those skilled in the art to implement the phototherapy-based body beauty method according to the embodiments of this application falls within the scope of protection of this application.

[0228] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0229] The above description is merely a preferred embodiment of the present invention, and the scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for users of ordinary technical skills, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A phototherapy-based body cosmetic system, characterized by, include: Multimodal scanning and 3D skin modeling unit: Acquires OCT data of skin structure, thermal imaging temperature distribution, 3D point cloud coordinates and spectral metabolic parameters, and fuses them to generate a skin health atlas through ICP registration algorithm; Dynamic Energy Planning and Safety Control Unit: Based on the skin health map, it segments the high tolerance area and the densely vascularized area through morphological closing operation; it calls the pre-set energy rule library to allocate laser wavelength, energy density and cooling parameters to each area; it adjusts the dynamic threshold of temperature, dynamic threshold of erythema index and dynamic threshold of impedance change rate in real time through dynamic threshold adaptive algorithm; it determines the risk level through multi-parameter fusion and triggers the graded response mechanism to generate dynamic energy configuration parameters and safety control strategy; Multimodal energy-coordinated phototherapy and real-time optimization unit: Based on dynamic energy configuration parameters, the skin surface is preheated in different regions according to the thickness of the stratum corneum, and the preheating time is extended according to structural defect markers; Based on three-dimensional point cloud coordinates and spatial constraints, the laser path planning is dynamically adjusted through path replanning algorithm to generate phototherapy execution log; Adaptive closed-loop optimization unit: Based on phototherapy execution logs, it generates efficacy evaluation reports and constructs a photoaging risk map by combining historical phototherapy data; it implements energy attenuation strategies for high-risk areas and energy density enhancement strategies for enhanced areas; it updates the energy rule base, judgment threshold parameters, and registration algorithm weight coefficients through reinforcement learning algorithms to form a closed-loop optimization.

2. A light therapy-based body cosmetic system according to claim 1, characterized in that, The acquisition methods for the OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates, and spectral metabolic parameters of the skin structure include: A split-type scanning system is formed by coupling a fixed OCT module with an optical fiber and a movable spectral probe mounted on a robotic arm. Based on the split-type scanning system, the OCT module uses a frequency-scanning light source to transmit near-infrared light to the probe through optical fiber, penetrating the skin surface to the deep tissue, generating high-resolution skin layer images, capturing the thickness of the stratum corneum, the structure at the epidermal-dermal junction and the distribution of the subcutaneous vascular network as OCT data. A thermal imaging camera is mounted on a robotic arm probe to monitor and collect the thermal imaging temperature distribution of the skin epidermis in real time. Synchronously drive the ToF camera to emit invisible light pulses, and generate three-dimensional point cloud coordinate data of the whole body through time-of-flight calculation; The near-infrared spectrometer built into the robotic arm probe collects the reflectance spectrum that penetrates the skin epidermis. The distribution of hemoglobin concentration, water content, and melanin is obtained by analyzing the characteristic absorption peaks, which serve as spectral metabolic parameters. During data acquisition, a ring-shaped polarizing light source and a rotating polarizer are deployed to work together to dynamically adjust the polarization direction and eliminate surface reflection interference from the skin epidermis; and a hardware timing controller is used to synchronize the data acquisition frequencies of the OCT module, thermal imaging camera, near-infrared spectrometer and ToF camera.

3. A light-based body cosmetic system according to claim 2, wherein, The method of fusing and generating a skin health atlas using the ICP registration algorithm includes: Based on the collected OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, the parameters of the OCT module, thermal imaging camera, near-infrared spectrometer and ToF camera are calibrated through the calibration plate to align the local coordinates of OCT, pixel coordinates of thermal imaging and global coordinate system of three-dimensional point cloud; The ICP registration algorithm is adopted to match the stratum corneum thickness and subcutaneous blood vessel network distribution of OCT data with the three-dimensional point cloud coordinates layer by layer, and the spatial registration is performed by minimizing the distance error between the three-dimensional point cloud and the surface of OCT; For the spatially registered OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, multi-parameter fusion and feature extraction are performed to generate a three-dimensional health atlas as a skin health atlas; The multi-parameter fusion and feature extraction include structural parameter integration, metabolic parameter integration and structural defect analysis; the three-dimensional health atlas includes a structure layer, a metabolic layer and a defect layer; The structural parameter integration is: the stratum corneum thickness is subjected to gray threshold segmentation to generate a stratum corneum thickness distribution map; the blood vessel dense area is marked by combining the subcutaneous blood vessel network distribution with the hemoglobin concentration distribution in the spectral metabolic parameters through an image processing tool; The metabolic parameter integration is: the thermal imaging temperature distribution and the hemoglobin concentration distribution are superimposed to generate a metabolic activity thermal map; The structural defect analysis is: based on the curvature calculation of the three-dimensional point cloud coordinates, the skin depression or wrinkle area is located; the pigment deposition or spot area is marked through the melanin distribution in the spectral metabolic parameters; The topographic features of the three-dimensional point cloud coordinates are extracted, and the stratum corneum thickness distribution and the epidermis-dermis junction structure of the OCT data are integrated as the structure layer of the three-dimensional health atlas; The thermal imaging temperature distribution and the hemoglobin concentration distribution in the spectral metabolic parameters are fused to generate a microcirculation state thermal map and a temperature gradient abnormal area marker as the metabolic layer of the three-dimensional health atlas; Based on the skin depression or wrinkle area of the three-dimensional point cloud coordinates and the pigment deposition or spot area of the spectral metabolic parameters, a structural defect marker is generated as the defect layer of the three-dimensional health atlas.

4. A light-based body cosmetic system according to claim 3, characterized in that, The generation mode of the dynamic energy configuration parameter and the safety control strategy includes: Based on the skin health atlas, the blood vessel distribution map is extracted from the subcutaneous blood vessel network distribution, the blood vessel distribution map and the stratum corneum thickness map are subjected to binaryzation processing to generate a preliminary blood vessel area mask and a stratum corneum thickness mask, wherein the blood vessel area mask includes a blood vessel dense area and a non-blood vessel dense area, and the stratum corneum thickness mask includes a thick stratum corneum area and a thin stratum corneum area; The blood vessel area mask is processed by morphological closing operation to form a continuous blood vessel area marker and retain the boundary integrity of the non-blood vessel dense area; The thick stratum corneum area in the stratum corneum thickness mask is subjected to a closing operation by morphological closing operation; The area belonging to the thick stratum corneum area and the non-blood vessel dense area is extracted by combining the closed stratum corneum thickness map and the blood vessel distribution map, and is marked as a high tolerance area; The preset energy rule library is called to assign an initial laser wavelength and energy density to the high tolerance area and the non-high tolerance area; The FPGA hardware synchronizes each sensor channel, and then synchronously collects the reflectance spectrum, impedance and epidermal temperature of all areas of the skin surface, and monitors key parameters in real time, including erythema index and microcirculation velocity; Based on the real-time collected reflectance spectrum, impedance, temperature and key parameters, through dynamic threshold self-adaption, multi-parameter fusion judgment and grading response mechanism, dynamic energy configuration parameters and safety control strategies are generated; The dynamic energy configuration parameters include laser wavelength, energy density and energy transfer ratio, and the safety control strategies are corresponding response measures in the grading response mechanism.

5. A light treatment based body cosmetic system according to claim 4, characterized in that, The dynamic threshold self-adaption mode includes: The oxygenation state of hemoglobin is calculated by reflectance spectrum as the erythema index, and the temperature gradient and impedance change rate are obtained by epidermal temperature and impedance, and then the erythema index, temperature gradient and impedance change rate are normalized; The current environmental parameters include environmental temperature and environmental humidity; According to the skin health atlas, temperature gradient, impedance change rate, erythema index, and environmental temperature and humidity, the basic safety temperature threshold, erythema index threshold and impedance change rate threshold are set, the threshold adjustment factor suitable for the current phototherapy condition is calculated, and the dynamic threshold is adjusted and generated according to the threshold adjustment factor; The adjustment factor includes the stratum corneum tolerance factor, the blood vessel risk factor and the environmental compensation factor; The stratum corneum tolerance factor is defined as if the detected area is a thin stratum corneum area, the safety temperature threshold of the area is adjusted proportionally; The blood vessel risk factor is defined as if the hemoglobin concentration in the area exceeds the preset hemoglobin concentration threshold, the erythema index threshold is adjusted proportionally; The environmental compensation factor includes the environmental temperature compensation factor and the environmental humidity compensation factor, and the environmental temperature compensation factor is defined as if the environmental temperature is greater than the preset environmental temperature threshold, the safety temperature threshold is proportionally reduced; The environmental humidity compensation factor is defined as if the environmental humidity is lower than the preset environmental humidity threshold, the impedance change rate threshold is proportionally increased; The temperature dynamic threshold is generated by adjusting the basic safety temperature threshold in combination with the stratum corneum tolerance factor and the environmental temperature compensation factor; The erythema index dynamic threshold is generated by adjusting the basic erythema index threshold in combination with the blood vessel risk factor, taking the number of times that the hemoglobin concentration exceeds the preset hemoglobin concentration threshold during the phototherapy process as the historical alarm times; The impedance dynamic threshold is generated by adjusting the allowed range of impedance change rate according to the environmental humidity compensation factor.

6. A light treatment based body cosmetic system according to claim 5, characterized in that, The multi-parameter fusion judgment mode includes: According to the temperature dynamic threshold, the erythema index dynamic threshold and the impedance dynamic threshold, the difference between the current value of the parameter corresponding to each dynamic threshold and the dynamic threshold is standardized, and the temperature deviation, the erythema index deviation and the impedance deviation are calculated respectively; The temperature deviation, the erythema index deviation and the impedance deviation are weighted and summed to obtain a comprehensive risk value; and the risk level is divided according to the comprehensive risk value, including low risk, medium risk and high risk.

7. A light treatment based body cosmetic system according to claim 6, characterized in that, The grading response mechanism includes primary response, secondary response and tertiary response. According to the temperature dynamic threshold value, the erythema index dynamic threshold value and the impedance dynamic threshold value of each region and the risk level, if the epidermal temperature of the current region is greater than the temperature dynamic threshold value, a first level response is triggered; The response measure of the first level response is defined as immediate energy cut-off and forced cooling, and the immediate energy cut-off is to close the laser output of the current region; The forced cooling includes mild over-temperature cooling, moderate over-temperature cooling and severe over-temperature cooling, an over-temperature proportion interval is set, based on the epidermal temperature being greater than the temperature dynamic threshold value, the proportion of the difference between the epidermal temperature and the temperature dynamic threshold value to the temperature dynamic threshold value is taken as the over-temperature proportion, if the over-temperature proportion is less than the minimum value of the over-temperature proportion interval, it is determined that the over-temperature is mild, and the mild over-temperature cooling is triggered; If the over-temperature proportion is greater than or equal to the minimum value of the over-temperature proportion interval and less than the maximum value of the over-temperature proportion interval, it is determined that the over-temperature is moderate, and the moderate over-temperature cooling is triggered; If the over-temperature proportion is greater than or equal to the maximum value of the over-temperature proportion interval, it is determined that the over-temperature is severe, and the severe over-temperature cooling is triggered; If the erythema index of the current region exceeds the erythema index dynamic threshold value, or the risk level is medium risk, a second level response is triggered; The response measure of the second level response is defined as energy density reduction, increase of the length of laser wavelength, cross-region energy transfer and local cooling, the cross-region energy transfer is to select a neighboring low response region through a path planning algorithm, and to transfer the energy of the current region to the low response region in proportion; wherein the neighboring low response region is a region with thick stratum corneum and without structural defect mark and in the same phototherapy region; the local cooling is to start mild over-temperature cooling on the current region; If the risk level of the current region is high risk, or the epidermal temperature, the erythema index and the impedance change rate have more than or equal to two greater than the corresponding dynamic threshold value, a third level response is triggered; The response measure of the third level response is defined as immediate global suspension of phototherapy, locking of the device operation, forced manual intervention, automatic generation of a risk report containing real-time epidermal temperature, erythema index, impedance change rate data, comprehensive risk value change curve and historical adjustment record of dynamic threshold value, and sending of the risk report to the operator.

8. A light treatment based body cosmetic system according to claim 7, characterized in that, The generation mode of the phototherapy execution log includes: According to the skin health map and the dynamic energy configuration parameters, based on the structural layer in the skin health map, a first preheating power, a second preheating power and a preheating time proportion are set; For the thick stratum corneum region, the radio frequency preheating power is adjusted to the first preheating power, and for the thin stratum corneum region, the radio frequency preheating power is adjusted to the second preheating power; when it is detected that the region has a structural defect mark, the preheating time is increased by the preheating time proportion based on the standard preheating time; and then a radio frequency preheating power distribution map is generated, and each region power and preheating time is marked in the radio frequency preheating distribution map; According to the metabolic layer in the skin health map, an initial energy density is allocated to the high tolerance area, and a preset degraded energy density is adopted for the blood vessel dense area in combination with a contact cooling strategy to allocate the energy density, and then a laser energy density allocation matrix is generated, and a three-dimensional point cloud coordinate is defined to define the irradiation position; The spatial constraint condition is defined as avoiding structural defect marked areas, blood vessel dense areas, and areas with skin temperature exceeding a temperature dynamic threshold, and preferentially selecting areas with thick stratum corneum and non-blood vessel dense areas as alternative paths; Based on the laser energy density matrix and the safety control strategy, an initial laser path coordinate set is generated through a path planning algorithm; When the laser path is about to enter a blood vessel dense area or the real-time monitoring skin temperature exceeds the temperature dynamic threshold, a path re-planning algorithm is triggered to generate an updated laser path coordinate set through the spatial constraint condition; After performing regional energy loading according to the radio frequency preheating power distribution map, the laser irradiation according to the path coordinate set is activated, and the actual energy deposition, skin temperature change, and triggered hierarchical response mechanism are recorded synchronously to generate a phototherapy execution log.

9. A light treatment based body cosmetic system according to claim 8, characterized in that, The closed-loop optimization method includes: Based on the defect layer of the skin health map, the current metabolic indicators, including elastin content, pigmentation degree, and hemoglobin concentration, are collected by a spectral detection device; Based on the skin health map, the phototherapy execution log, and the metabolic indicators, the three-dimensional point cloud coordinates before and after phototherapy are compared, the surface flatness improvement rate of the skin in each region is calculated, the surface flatness improvement rate is associated with the corresponding region data in the laser energy density distribution matrix, and energy density association data is generated; The metabolic indicators before and after phototherapy are integrated to form a metabolic indicator change curve; The surface flatness improvement rate, metabolic indicator change curve, and energy density association data are integrated to generate a treatment effect evaluation report; Based on the treatment effect evaluation report and historical phototherapy execution logs, if the regional surface flatness improvement rate is less than the preset flatness improvement rate threshold and the elastin content is less than the preset protein content, it is marked as a high-risk area; the preset energy attenuation strategy is triggered for the high-risk area; If the regional surface flatness improvement rate is greater than or equal to the preset flatness improvement rate threshold, it is marked as an intensive treatment area; the preset energy density enhancement strategy is enabled for the intensive area; After phototherapy on the patient, the decision threshold parameters in the safety control strategy are corrected according to the patient's clinical review results through a reinforcement learning algorithm, the energy rule library is updated, the weight coefficients of the ICP registration algorithm are recalibrated, the generation accuracy of the skin health map is optimized, and a data-driven closed-loop optimization is formed.

10. A medical aesthetic device with an LED light source, characterized in that, The medical cosmetic device is equipped with a body cosmetic system based on phototherapy according to any one of claims 1 to 9.

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