Wine stain treatment system based on matching of stain features and dual wavelength parameters

Abstract

The present application relates to a kind of wine stain treatment systems based on the matching of stain feature and double wavelength parameters, comprising: data acquisition module, for collecting the parameters of patient's wine stain area, patient skin parameters and historical treatment parameters;Pre-set double wavelength treatment wine stain method library;Stain mapping module, for extracting stain feature parameters from wine stain area parameters, determine the matching value of stain feature parameters and each double wavelength treatment method, to construct feature mapping matrix;Matrix optimization adjustment module, for extracting core influencing factors and weighting coefficient from patient skin parameters, and with feature mapping matrix Weighted operation and adjustment;Treatment method matching module, for matching according to feature mapping matrix and method library;Stain treatment module, for setting double wavelength light source according to the double wavelength treatment method obtained, carries out stain treatment.Compared with prior art, the safety and individual adaptation degree of stain treatment scheme are improved.

Description

Technical Field

[0001] This invention relates to the field of pigmentation treatment devices, and in particular to a treatment system for port-wine stains based on pigmentation characteristics and dual-wavelength parameter matching. Background Technology

[0002] In an era of deep integration between precision medicine and dual-wavelength therapy, port-wine stains, a common congenital vascular malformation, are experiencing a continuous increase in clinical treatment demand. Patients are increasingly demanding higher standards for treatment safety, personalized fit, and stable efficacy. Dual-wavelength light sources, with their different wavelengths targeting vascular tissues, exhibit unique advantages in dual-wavelength therapy. By integrating core treatment elements such as the light energy parameters, irradiation duration, and power ratio of the two wavelengths, a multi-dimensional dual-wavelength treatment plan is formed. This has become a key technological direction for overcoming the limitations of traditional single-wavelength therapy and improving the treatment effect of port-wine stains, and has significant clinical application value and industry promotion significance.

[0003] The core significance of dual-wavelength therapy with dual-wavelength light sources lies in breaking through the limitations of traditional single-wavelength therapy, achieving more targeted, safer, and more stable precision treatment. By utilizing the different penetration depths and absorption specificities of different wavelengths of light in skin tissue, the combination of dual wavelengths can simultaneously cover lesions of different depths and shapes, solving the problem of incomplete targeting by single wavelengths. Moreover, dual-wavelength therapy with dual-wavelength light sources is not only a technological upgrade, but also a reconstruction of the treatment logic for vascular lesions, providing a better solution for the clinical treatment of diseases such as port-wine stains. It combines technological innovation, clinical practicality, and patient value, and is an important direction for dual-wavelength therapy to move towards precision medicine.

[0004] However, existing dual-wavelength treatments for port-wine stains lack unified parameter association rules and personalized adaptation mechanisms. They fail to establish a precise mapping relationship between stain characteristics, skin conditions, and treatment parameters, resulting in poor adaptability of treatment plans to individual patient conditions. Furthermore, current methods lack multi-stage, standardized safety verification and optimization processes, and their selection of safety thresholds for treatment parameters is relatively simplistic, making it difficult to comprehensively avoid skin damage risks. Moreover, they do not adequately incorporate historical patient treatment data for iterative treatment, reducing the stability and reliability of treatment effects. Currently, no effective solutions have been proposed to address these technical problems. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the existing technology, which has a relatively simple selection of safety thresholds for treatment parameters, makes it difficult to fully avoid the risk of skin damage, and does not fully combine the patient's historical treatment data for iterative treatment. In this invention, we provide a treatment system for port-wine stains based on the characteristics of the pigmentation and the matching of dual wavelength parameters.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A treatment system for port-wine stains based on pigmentation characteristics and dual-wavelength parameter matching, comprising:

[0008] The data acquisition module is used to collect parameters of the patient's port-wine stain area and patient skin parameters, and to obtain the patient's historical treatment parameters; it also obtains a preset library of dual-wavelength treatment methods for port-wine stains, which includes multiple dual-wavelength treatment methods.

[0009] The stain mapping module is used to extract stain feature parameters from the stain region parameters of the wine, determine the correspondence between the stain feature parameters and the dual wavelength parameters of the dual wavelength light source, and thus determine the matching value between the stain feature parameters and each dual wavelength treatment method to construct a feature mapping matrix.

[0010] The matrix optimization and adjustment module is used to extract the core influencing factors and corresponding weighting coefficients from the patient's skin parameters, and perform weighted operations and adjustments with the feature mapping matrix to obtain the optimized and adjusted feature mapping matrix.

[0011] The treatment method matching module is used to match the optimized and adjusted feature mapping matrix with a library of dual-wavelength treatment methods for port-wine stains.

[0012] The pigmentation treatment module is used to set up a dual-wavelength light source to treat pigmentation in patients based on the matched dual-wavelength treatment method.

[0013] Furthermore, the processing procedure of the color spot mapping module includes:

[0014] Extract the stain feature parameters from the wine stain area parameters and screen out the core stain feature parameters, which include lesion area, blood vessel density, color intensity, lesion depth and distribution uniformity.

[0015] Obtain the dual-wavelength parameters of the dual-wavelength light source and determine the correspondence between the core color spot feature parameters and the dual-wavelength parameters;

[0016] Based on the correspondence between the core pigmentation feature parameters and the dual-wavelength parameters, the comprehensive matching value between the core pigmentation feature parameters and each dual-wavelength treatment method is calculated and arranged to form a feature parameter matching value group.

[0017] Based on the set of characteristic parameter adaptation values, the feature mapping matrix between the pigmentation characteristic parameters and the dual-wavelength treatment method is determined.

[0018] Furthermore, the calculation process of the comprehensive adaptation matching value includes:

[0019] The chromatic aberration feature parameters of each core are normalized, and then the single feature adaptation scores of the chromatic aberration feature parameters of each core and each dual-wavelength treatment method are calculated respectively.

[0020] The weights corresponding to each core pigmentation feature parameter are determined, and the single feature adaptation scores of each dual-wavelength treatment method are weighted and summed to obtain the comprehensive adaptation matching value between each dual-wavelength treatment method and the patient's pigmentation feature parameters.

[0021] Furthermore, the processing of the color spot mapping module also includes: performing security constraint verification on the feature mapping matrix, and using the verified feature mapping matrix as the final output;

[0022] The process of verifying the security constraints includes:

[0023] A safety constraint verification index is pre-set, which includes an energy density threshold, a dual-wavelength power difference threshold, and a skin tolerance temperature correlation threshold. The energy density threshold is used to set the safe upper limit of the total energy of the dual-wavelength light on the skin. The dual-wavelength power difference threshold is used to balance the power ratio of the two wavelengths of the dual-wavelength light source. The skin tolerance temperature correlation threshold is used to limit the real-time temperature of the skin during treatment.

[0024] Based on the energy density threshold, the dual-wavelength power difference threshold, and the skin tolerance temperature correlation threshold, the feature mapping matrix is ​​classified and filtered to remove parameters corresponding to dual-wavelength treatment methods that exceed the threshold.

[0025] The validity of the feature mapping matrix after classification and filtering is verified, and the feature mapping matrix after validity verification is used as the final output.

[0026] Furthermore, the processing procedure of the matrix optimization and adjustment module includes:

[0027] The core influencing factors of the patient's skin parameters were extracted, including skin type, skin sensitivity, and basic pigmentation content.

[0028] Based on the degree of influence of dual-wavelength treatment parameter adaptability and the correlation with treatment safety risks, the core influencing factors are classified according to the grading standards, and the corresponding weight correction coefficients are determined according to different grades.

[0029] A basic weight is set for each core influencing factor, and a collaborative correction factor is introduced. The dynamic weighting coefficient of each core influencing factor is obtained by multiplying the basic weight, the weight correction coefficient and the collaborative correction factor.

[0030] The dynamic weighting coefficients of each core influencing factor are integrated to form a multi-dimensional weighting coefficient group that includes the name of each core influencing factor, the corresponding dynamic weighting coefficient, the appropriate label, and the priority.

[0031] The dynamic weighted coefficients in the multi-dimensional weighted coefficient group are multiplied with the matching values ​​in the color spot mapping matrix to obtain the optimized matching score matrix.

[0032] Based on a preset parameter screening threshold, each element of the optimized matching score matrix is ​​screened to obtain a screened and adjusted pigmentation mapping matrix. The parameter screening threshold is used to remove risk parameters that exceed the skin's tolerance range.

[0033] Furthermore, the optimized matching score matrix uses the dynamic weighting coefficients of each core influencing factor as the vertical dimension and the matching values ​​of each treatment method in the pigmentation mapping matrix as the horizontal dimension.

[0034] Each element of the optimized matching score matrix is ​​the product of the dynamic weighting coefficient of the corresponding item and the fit matching value.

[0035] Furthermore, the treatment method matching module adopts a preset dual-wavelength treatment matching rule and matches it with the dual-wavelength treatment method library for port-wine stains based on the optimized and adjusted feature mapping matrix;

[0036] The dual-wavelength treatment matching rules include a safety-priority matching rule, an optimal efficacy matching rule, and a historical adaptation matching rule. The safety-priority matching rule is used to set a safety threshold based on skin tolerance to match dual-wavelength treatment methods. The optimal efficacy matching rule is used to prioritize dual-wavelength treatment methods that meet the comprehensive efficacy score based on the treatment effect on pigmentation. The historical adaptation matching rule is used to extract effective parameter combination features based on the patient's historical treatment parameters to match the dual-wavelength treatment method with the highest compatibility with the effective parameter combination features.

[0037] The matching process includes:

[0038] Based on the security priority matching rule, the optimized feature mapping matrix is ​​filtered to obtain a set of security candidate parameters;

[0039] Based on the optimal efficacy matching rule and the historical adaptation matching rule, the set of safe candidate parameters is matched with the dual-wavelength treatment methods in the dual-wavelength treatment method library for port-wine stains.

[0040] Furthermore, the process of obtaining the set of security candidate parameters includes:

[0041] The safety priority matching rule is broken down to obtain multiple core indicators with skin tolerance as the core. These multiple core indicators include energy density, dual-wavelength power difference, skin tolerance temperature, and irradiation duration.

[0042] Personalized thresholds for each core indicator are set based on the patient's skin parameters;

[0043] In the optimized feature mapping matrix, select security candidate parameters that meet the personalized thresholds of each core indicator, and combine them to obtain the security candidate parameter set.

[0044] Furthermore, based on the optimal efficacy matching rule and the historical adaptation matching rule, the set of safe candidate parameters is matched with dual-wavelength treatment methods in the dual-wavelength treatment library for port-wine stains, specifically including:

[0045] Based on the optimal matching rule for therapeutic efficacy, the parameters in the set of safe candidate parameters are compared with the efficacy correlation index of the dual-wavelength treatment method, and safe candidate parameters that meet the therapeutic efficacy target are retained.

[0046] Based on the historical matching rules, the similarity between the patient's historical treatment parameters and the safe candidate parameters for achieving therapeutic effects is calculated, and safe candidate parameters with a similarity higher than the preset threshold are selected.

[0047] Based on the safety candidate parameters obtained from the final screening, the corresponding dual-wavelength treatment method is determined.

[0048] Furthermore, the pigmentation treatment module determines the dual-wavelength combination, energy density, power ratio, and irradiation duration based on the matched dual-wavelength treatment method, and sets the equipment parameters of the dual-wavelength light source with reference to the patient's historical treatment parameters, so as to treat the patient's pigmentation.

[0049] Compared with the prior art, the present invention has the following advantages:

[0050] (1) This invention obtains parameters of the port-wine stain area, patient skin parameters and historical treatment parameters, and pre-sets a dual-wavelength treatment method library for port-wine stains. This avoids the problems of one-sided parameter acquisition and poor adaptability of treatment plans to individuals in traditional dual-wavelength treatment, and reduces the risk of poor efficacy or skin damage caused by blind matching. At the same time, by clarifying the correspondence between the core stain feature parameters and the core parameters of the dual-wavelength treatment method, a dual-wavelength parameter association rule is established to ensure that the matching logic of stain features and treatment parameters is consistent with the technical principle of dual-wavelength treatment, avoids interference from invalid parameter combinations, and improves the accuracy of matching value calculation. Furthermore, by constructing a three-level matrix optimization system, risk parameters that exceed the skin's tolerance range are eliminated, solving the pain point of traditional treatments ignoring individual skin differences in a uniform plan, and improving the safety and personalized adaptability of the treatment plan.

[0051] (2) This invention achieves hierarchical matching of treatment plans by pre-setting dual-wavelength treatment matching rules, combined with personalized skin tolerance threshold screening and multi-dimensional weighted calculation. Based on the safety priority rule, a set of safe candidate parameters is selected from the optimized matrix to clarify the safety bottom line of the treatment plan. Then, the set of safe candidate parameters is accurately matched with the method library through the optimal efficacy rule and the historical adaptation rule. The reliability of the matching results is ensured through the associated compliance verification mechanism to avoid matching deviation caused by a single rule. At the same time, the matched treatment plan is combined with historical treatment parameters to set up dual-wavelength light source equipment to achieve a closed loop of the whole process, improve the operability of the treatment plan, and reduce the equipment debugging cost by reusing historical parameters, making the treatment plan more clinically applicable and of greater significance for promotion. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of a port-wine stain treatment system based on the matching of pigmentation features and dual wavelength parameters provided in an embodiment of the present invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0054] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0055] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0056] Example 1

[0057] like Figure 1 As shown, this embodiment provides a port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching, comprising:

[0058] The data acquisition module is used to collect parameters of the patient's port-wine stain area and patient skin parameters, and to obtain the patient's historical treatment parameters; it also obtains a preset library of dual-wavelength treatment methods for port-wine stains, which includes multiple dual-wavelength treatment methods.

[0059] Specifically, parameters of the port-wine stain area are accurately collected using equipment such as dermoscopy and 3D imaging, including core features such as lesion area, vascular density, color depth, and distribution pattern; skin parameters of the patient are obtained using skin detectors, sensitivity tests, and pigment content analysis equipment, covering skin type, sensitivity grade, basic pigment content, and skin tolerance benchmark value; historical treatment parameters are retrieved from the clinical diagnosis and treatment system, including previous treatment wavelength combinations, energy density, irradiation duration, efficacy feedback, and adverse reaction records.

[0060] When setting up a dual-wavelength treatment library for port-wine stains, we first integrate clinically validated dual-wavelength treatment protocols, clarifying core parameters such as different wavelength combinations, power ratios, energy densities, and irradiation sequences. Then, we combine safety constraints, such as energy density thresholds and skin tolerance temperature thresholds, and categorize and archive them according to the characteristics of the stains and the type of skin condition they are suitable for, forming a standardized library of protocols that includes basic protocols, personalized adjustment modules, and safety verification rules. This provides data support and protocol reserves for subsequent intelligent matching.

[0061] The pigmentation mapping module is used to extract pigmentation feature parameters from the parameters of the wine pigmentation region, determine the correspondence between the pigmentation feature parameters and the dual-wavelength parameters of the dual-wavelength light source, and thus determine the matching value between the pigmentation feature parameters and each dual-wavelength treatment method to construct a feature mapping matrix.

[0062] In this embodiment of the application, the processing procedure of the color spot mapping module includes the following steps:

[0063] S21. Extract the core color feature parameters from the parameters of the wine color spot region and set the dual-wavelength parameter association rules;

[0064] Specifically, from the collected parameters of the wine stain area, the lesion area, blood vessel density, color intensity, lesion depth, and distribution uniformity are selected as core feature parameters. Redundant information is removed through image segmentation algorithms and data normalization processing to ensure the accuracy and usability of the parameters.

[0065] The setting of dual-wavelength parameter association rules needs to be based on clinical diagnosis and treatment logic and photodynamic therapy principles. First, the correspondence between core pigmentation features and key dual-wavelength parameters needs to be clarified. Key dual-wavelength parameters can include wavelength combination, energy density, power ratio, and irradiation duration. Then, different combinations of feature parameters are combined, such as deep pigmentation with high-density blood vessels, or superficial pigmentation with sensitive skin, to set single-feature adaptation weights and comprehensive adaptation judgment criteria. At the same time, safety constraint thresholds are embedded, such as the power difference between dual wavelengths or the upper limit of skin tolerance energy, to form a three-in-one association rule of feature parameters, dual-wavelength parameters, and safety thresholds. This achieves accurate mapping between core pigmentation features and treatment parameters, providing a core basis for the subsequent construction of pigmentation mapping matrices.

[0066] S22. Based on the dual-wavelength parameter association rule, calculate the matching value between the core pigmentation feature parameters and the dual-wavelength treatment methods for port-wine stains in the dual-wavelength treatment method library to form a feature parameter matching value group.

[0067] In this embodiment of the application, the calculation of the matching values ​​between the core pigmentation feature parameters and the dual-wavelength treatment methods for port-wine stains in the dual-wavelength treatment method library, based on the dual-wavelength parameter association rules, to form a feature parameter matching value group includes the following steps:

[0068] S221. Deconstruct the correlation rules of dual-wavelength parameters and clarify the corresponding correlation between the core pigmentation feature parameters and the core parameters of dual-wavelength treatment methods;

[0069] Specifically, the dual-wavelength parameter association rules are broken down into three main modules: feature adaptation rules, parameter combination rules, and safety constraint rules. The core logic and applicable scenarios of each module are analyzed one by one. Then, the dimensional correspondence between the core pigmentation feature parameters and the core parameters of dual-wavelength treatment is clarified. The core pigmentation feature parameters include lesion area, vascular density, color intensity, and lesion depth, while the core parameters of dual-wavelength treatment include wavelength combination, energy density, power ratio, and irradiation duration.

[0070] The dimensional correspondences are as follows: lesion depth corresponds to wavelength combinations, i.e., superficial lesions are suited to short wavelength dominance, while deep lesions are suited to long wavelength dominance; vascular density corresponds to energy density and power ratio, i.e., high-density vessels require increased energy density and optimized dual-wavelength synergistic power. Finally, through quantitative mapping logic, such as setting a correspondence table between feature parameter grading and treatment parameter ranges, the optimal range of treatment parameters corresponding to different feature parameter combinations is clarified, while anchoring safety constraint boundaries, forming a precise correspondence system of feature grading - parameter range - safety threshold.

[0071] S222, Preset color spot feature weight rules, and set a single feature adaptation score calculation function for the core color spot feature parameters based on the color spot feature weight rules;

[0072] Specifically, based on the principle of dual-wavelength treatment, combined with clinical data and expert experience, a weighting rule is preset according to the priority of the treatment impact of core pigmentation characteristic parameters. For example, vascular density is directly related to photodynamic response efficiency and has the highest weight, followed by lesion depth, color intensity, lesion area and distribution uniformity. The corresponding weights are assigned according to the degree of appropriate impact, and the normalization requirement that the sum of the weights is 1 is clearly defined.

[0073] Based on this, a single-feature adaptation score calculation function is set for the attributes of each core pigmentation feature parameter: for continuous parameters, such as lesion area and vascular density, a linear normalization function is used to map the measured values ​​of the parameters to the score interval [0, 1]; for graded parameters, an interval mapping function is used, such as color intensity and lesion depth grading; preset scores are corresponding to parameter levels, such as 0.8-1.0 points for deep lesions and 0.3-0.7 points for superficial lesions, and feature threshold constraints are embedded in the function, such as parameters that exceed the safe adaptation range receiving a score of 0, ensuring that the single-feature score reflects both the adaptation difference and meets the treatment safety requirements.

[0074] Specifically, the construction of the calculation function needs to be based on the dual-wavelength treatment principle and supported by clinical data. First, differentiated calculation logic is designed according to the attributes of the pigmentation feature parameters: continuous parameters adopt a linear normalization function to map the measured values ​​to the [0, 1] score interval. The mapping benchmark is the optimal range of the corresponding dual-wavelength parameter. For example, a lesion depth of 1-2mm is suitable for a 630nm+810nm combination. The further the deviation, the lower the score. Graded parameters, such as color depth and distribution uniformity, adopt an interval mapping function. The preset score is corresponding to the parameter level. For example, high vascular density corresponds to an energy density of 30-40J / cm. 2 The range is 0.8-1.0.

[0075] Furthermore, combining the core priority of dual-wavelength therapy, a single-feature weighting rule is set: vascular density has the highest weight of 0.4, followed by lesion depth at 0.3, color intensity at 0.15, lesion area at 0.1, and distribution uniformity at 0.05. Lower weights are assigned based on the degree of influence, and a comprehensive matching value is obtained through weighted summation. Simultaneously, a safety constraint threshold is embedded, such as an upper limit of energy density of 50 J / cm³. 2 The power difference between the two wavelengths does not exceed 30%, and parameters that exceed the safe range are directly assigned a score of 0. This forms a three-in-one calculation rule of "measured feature value - optimal range of dual wavelengths - safe threshold", which enables precise quantification of the degree of fit between pigmentation features and dual-wavelength treatment parameters.

[0076] S223. Based on the single-feature adaptation score calculation function, calculate the single-feature adaptation score between the core pigmentation feature parameters and the dual-wavelength treatment method for port-wine stains in the dual-wavelength treatment method library, and perform a weighted summation of the single-feature adaptation scores to obtain the comprehensive adaptation matching value.

[0077] Specifically, the core parameters of each treatment method in the dual-wavelength treatment library for port-wine stains, such as wavelength combination and energy density, are extracted to define the matching benchmarks with core stain feature parameters, such as vascular density and lesion depth. For each core stain feature parameter, a preset single-feature matching score calculation function is called. The patient's measured feature value and the matching benchmarks of each treatment method in the library are substituted into the function to calculate the single-feature matching score of each feature with the corresponding treatment method. The score range is [0, 1], with higher scores for better matching.

[0078] Subsequently, based on the preset pigmentation feature weighting rules, the corresponding weights of each core pigmentation feature parameter are obtained, such as 0.4 for vascular density and 0.3 for lesion depth. The single feature adaptation scores of each treatment method are multiplied by their corresponding weights, and then all weighted scores are summed to obtain the comprehensive adaptation matching value between the treatment method and the patient's pigmentation features, which intuitively reflects the overall degree of adaptation between the two.

[0079] S224. According to the order of the treatment methods in the dual-wavelength treatment method library for port-wine stains, integrate and match the comprehensive adaptation values ​​to form a characteristic parameter adaptation value group.

[0080] Specifically, a fixed order should be established for the treatment methods in the dual-wavelength treatment library for port-wine stains. This order can be based on wavelength combination type, clinical application priority, or protocol number, ensuring consistency between the integration logic and the library structure. Then, the comprehensive matching values ​​for each treatment method calculated earlier should be extracted and matched one by one according to the order of treatment methods in the library to avoid mismatches between values ​​and methods.

[0081] Based on this, the matched comprehensive adaptation values ​​are structured and integrated into feature parameter adaptation value groups in the form of a one-dimensional array or ordered list. The index position of each element in the group strictly corresponds to the arrangement order of treatment methods in the method library, and each element is clearly marked with a unique identifier for the corresponding treatment method. Then, the adaptation value group is checked for completeness, and any missing values ​​are filled in to ensure that the number of treatment methods in the adaptation value group is consistent with the number of treatment methods in the method library and that the mapping relationship is clear.

[0082] S23. Construct a feature mapping matrix based on the feature parameter adaptation value group;

[0083] In this embodiment of the application, constructing the feature mapping matrix based on the feature parameter adaptation value group includes the following steps:

[0084] S231. Determine the row and column dimensions of the feature mapping matrix, using the combination type of the core pigmentation feature parameters as the row dimension and the dual-wavelength treatment method for wine pigmentation in the dual-wavelength treatment method library as the column dimension.

[0085] Specifically, the process involves identifying all valid combinations of core pigmentation feature parameters, eliminating invalid combinations such as contradictory feature combinations or combinations without corresponding treatment needs based on clinical fit logic, and sorting the remaining compliant combinations according to feature priority (e.g., prioritizing vascular density plus lesion depth) as unique identifiers for the matrix row dimensions. This ensures that each row corresponds to a unique pigmentation feature combination without duplication or omission. Subsequently, based on a dual-wavelength treatment method library for port-wine stains, all safety-verified and clinically validated treatment methods are extracted and uniformly arranged according to preset sorting rules, serving as the matrix column dimensions. This ensures that each column corresponds to an independent treatment method. The rationality of the row and column dimensions is then verified, ensuring that the number of row dimensions matches the total number of valid combinations of core pigmentation feature parameters, and the number of column dimensions matches the total number of qualified treatment methods in the method library. Simultaneously, the indexing rules for the row and column dimensions are clarified, such as row numbers corresponding to combination type numbers and column numbers corresponding to treatment method numbers, ensuring a unique and clear mapping relationship between the matrix rows and columns and the actual feature combinations and treatment methods.

[0086] S232. Establish the corresponding mapping relationship between row and column dimensions and feature parameter adaptation value groups, and clarify the combination type of core pigmentation feature parameters and the comprehensive adaptation matching value of the dual-wavelength treatment method for port-wine stains;

[0087] Specifically, the row and column indices of the feature mapping matrix are used as the core anchor points. The row index is bound one-to-one with the number of the combination type of core pigment feature parameters. For example, row index 1 corresponds to the combination of "high blood vessel density + deep lesion". The column index is precisely matched with the unique identifier of the treatment method in the dual-wavelength treatment method library. For example, column index 3 corresponds to the dual-wavelength scheme number 3 in the method library, forming a bidirectional mapping table between index and entity.

[0088] Then, the feature parameter matching value group previously integrated according to the method library order is retrieved, and each comprehensive matching value in the matching value group is associated with the treatment method corresponding to the column dimension of the matrix based on the column index order; at the same time, combined with the feature combination type corresponding to the row index, the ternary correspondence of "a certain feature combination type - a certain treatment method - corresponding comprehensive matching value" is clarified.

[0089] Finally, cross-validation is used to ensure logical closure. The matching value corresponding to the intersection of each matrix row and column is checked one by one to see if it is consistent with the actual adaptation calculation result of the feature combination and treatment method at that position. Misaligned or invalid associations are eliminated to ensure that the mapping relationship is unique and accurate, providing a clear logical basis for subsequent matrix data filling.

[0090] S233. Fill the rows and columns of the matrix one by one according to the corresponding mapping relationship to form the initial mapping matrix;

[0091] Specifically, the established bidirectional mapping table is retrieved to clarify the core color spot feature parameter combination type and dual-wavelength treatment method corresponding to each row and column intersection of the matrix, ensuring accurate and unbiased filling of the target position. In the feature parameter adaptation value group, each comprehensive adaptation matching value is extracted. According to the row and column index correspondence of the mapping table, each matching value is filled into the corresponding row and column position of the matrix one by one. That is, the intersection of the row index corresponding to a certain feature combination type and the column index corresponding to a certain treatment method is filled with the comprehensive adaptation matching value corresponding to both, avoiding misaligned filling.

[0092] During the filling process, blank positions where no matching value is found are recorded simultaneously. After all the matching values ​​are filled, an initial mapping matrix is ​​formed. The initial matrix is ​​then preliminarily verified to confirm the consistency between the filled values ​​and the mapping relationship, the matching of row and column dimensions with feature combination types, and the number of treatment methods.

[0093] S24. Perform security constraint verification on the feature mapping matrix, and output the verified feature mapping matrix as the color spot mapping matrix.

[0094] In this embodiment of the application, performing security constraint verification on the feature mapping matrix and outputting the verified feature mapping matrix as a color spot mapping matrix includes the following steps:

[0095] S241. Preset safety constraint verification indicators, including energy density threshold, dual-wavelength power difference threshold and skin tolerance temperature related threshold.

[0096] Specifically, the core definitions and monitoring dimensions of the three types of indicators are clarified: the energy density threshold focuses on the safe upper limit of the total energy of dual-wavelength light on the skin to avoid excessive irradiation that could lead to tissue damage; the dual-wavelength power difference threshold is for balancing the power ratio of the two wavelengths to prevent excessive power of a single wavelength from causing local irritation; and the skin tolerance temperature correlation threshold is related to the real-time skin temperature during treatment to avoid the risk of high-temperature burns.

[0097] Subsequently, the threshold range was determined based on multi-dimensional data: referring to clinical practice guidelines and previous safety cases, and combining the technical parameters of dual-wavelength light source equipment, such as maximum output power and wavelength adjustment range, a basic energy density threshold was set, such as 20-50 J / cm². 2 It can be dynamically adjusted according to skin type; based on the principle of photodynamic synergy and combined with the power adjustment accuracy of the device, the threshold for the power difference between the two wavelengths is determined, such as the difference not exceeding 30% of the total power; through a large amount of clinical measurement data, a correlation model between skin temperature and treatment parameters is established, and combined with the safe tolerance temperature of human skin, the correlation threshold and warning range of skin tolerance temperature are set.

[0098] Finally, standardized verification rules were established: the applicable scenarios for each threshold were clarified, such as lowering the energy density threshold by 10%-20% for patients with sensitive skin; dynamic adjustment conditions were established, such as adapting different power difference thresholds according to the depth of pigmentation; and the indicators were embedded into the security verification process to provide a clear basis for the subsequent parameter selection of the feature mapping matrix.

[0099] S242. Based on the energy density threshold, the dual-wavelength power difference threshold, and the skin tolerance temperature correlation threshold, the feature mapping parameters in the feature mapping matrix are classified and filtered, and feature mapping parameters that exceed the threshold are removed.

[0100] Specifically, the feature mapping parameters corresponding to the intersection points of each row and column in the feature mapping matrix are extracted, and three core safety indicators are decomposed into energy density, dual-wavelength power difference, and skin tolerance temperature related parameters. This ensures that the selected objects and the verification indicators are accurately matched. Then, the screening is carried out according to the preset threshold standards. Each parameter is compared with the energy density threshold, dual-wavelength power difference threshold, and skin tolerance temperature related threshold one by one, and divided into two categories: "compliant parameters" (all three indicators have not exceeded the threshold) and "exceeding parameters" (any one indicator exceeds the threshold).

[0101] Feature mapping parameters that exceed limits for a single indicator or multiple indicators simultaneously are directly marked as invalid and removed to prevent risky parameters from entering subsequent processes. During the screening process, the type and reason for exceeding limits are recorded simultaneously, such as exceeding energy density limits or power imbalance, to facilitate subsequent traceability and optimization. Finally, all compliant parameters and their corresponding row and column combinations are retained to form a feature mapping matrix that has undergone safety screening.

[0102] S243. Verify the validity of the feature mapping matrix after classification and filtering, and output the feature mapping matrix after validity verification as the color spot mapping matrix.

[0103] Specifically, the core dimensions for confirming effectiveness include parameter suitability, clinical feasibility, and data completeness. Rationality of suitability focuses on the combination of remaining parameters with core pigmentation features and the matching degree of the dual-wavelength treatment principle. Clinical feasibility refers to the safe treatment data of similar cases in the past. Data completeness involves checking whether the matrix has any missing key parameters.

[0104] Subsequently, a stratified verification process was conducted, verifying each retained feature mapping parameter to confirm that it not only met the safety threshold requirements but also formed an effective photodynamic response when combined with the corresponding spot features, such as energy density matching lesion depth and power difference conforming to the synergistic treatment logic. Based on actual clinical application scenarios, redundant parameter combinations that were safe but had no actual therapeutic effect were eliminated, such as those with energy densities too low to act on lesion tissue. A few blank entries in the matrix due to missing data were filled using the mean value of the matching parameters for the same type of feature combination. Finally, the validity was confirmed, resulting in a feature mapping matrix with a complete structure, safe parameters, and effective adaptation, which was then officially output as the spot mapping matrix.

[0105] The matrix optimization and adjustment module is used to extract the core influencing factors and corresponding weighting coefficients from the patient's skin parameters, and perform weighted operations and adjustments with the feature mapping matrix to obtain the optimized and adjusted feature mapping matrix.

[0106] In this embodiment of the application, the processing procedure of the matrix optimization and adjustment module includes the following steps:

[0107] S31. Extract the core influencing factors from the patient's skin parameters, including skin type, skin sensitivity, and basic pigment content;

[0108] Specifically, using clinically approved testing equipment and methods, the system systematically collects patient-related skin data: Skin type analysis combined with visual assessment is used to determine the patient's skin type according to the Fitzpatrick classification, clarifying their UV tolerance and pigmentation potential; lactic acid stinging test and non-invasive skin resistance test are used to detect the skin's response to external stimuli, classifying skin sensitivity levels such as low, moderate, and high; and a skin pigment analyzer is used to quantitatively detect the epidermal melanin and hemoglobin content, obtaining specific values ​​or grading results of basic pigment content.

[0109] During the data collection process, it is necessary to avoid external environmental factors, such as light and temperature, from interfering with the test results to ensure data accuracy. Subsequently, three core influencing factors—skin type, skin sensitivity, and basic pigment content—are selected from the collected data. Redundant information is removed, and the data is normalized according to a unified format to form a standardized set of core influencing factor parameters.

[0110] S32. Based on skin type, skin sensitivity and basic pigment content, set up dynamic weighting rules for multiple factors of pigmentation, and based on the dynamic weighting rules for multiple factors of pigmentation, calculate the dynamic weighting coefficients of the core influencing factors to form a multi-dimensional weighting coefficient group;

[0111] In this embodiment of the application, a multi-factor dynamic weighting rule for pigmentation is set based on skin type, skin sensitivity, and basic pigment content. Based on the multi-factor dynamic weighting rule for pigmentation, the dynamic weighting coefficients of the core influencing factors are calculated to form a multi-dimensional weighting coefficient group, including the following steps:

[0112] S321. Clarify the impact grading standards of core influencing factors, and grade the impact on skin type, skin sensitivity, and basic pigment content;

[0113] Specifically, the impact grading standards for core influencing factors should be clearly defined and completed. Based on the "degree of impact of dual-wavelength treatment parameter adaptability" and "degree of correlation with treatment safety risks", a three-level grading system of "low, medium and high" should be developed in combination with clinical data to ensure that the standards are operable and related to subsequent weighting logic.

[0114] The specific grading is as follows: Skin type is based on the Fitzpatrick classification, focusing on the risk of pigmentation and energy tolerance. Skin sensitivity is determined through tests such as the lactic acid stinging test, with low sensitivity indicating low impact, moderate sensitivity indicating moderate impact, and high sensitivity indicating high impact, focusing on tolerance to light stimulation and energy fluctuations. Baseline pigmentation is categorized based on melanin quantification results, with low pigmentation indicating low impact, moderate pigmentation indicating moderate impact, and high pigmentation indicating high impact, primarily related to light energy absorption efficiency and the risk of pigmentation abnormalities. The grading results provide crucial information for subsequent dynamic weighting rule settings and precise adjustment of treatment parameters, ensuring the safety and suitability of personalized treatment.

[0115] S322. Based on the grading standard of core influencing factors, set up a multi-factor dynamic weighting rule for pigmentation, obtain the actual detection level of the patient's core influencing factors, and match the weight correction coefficient according to the multi-factor dynamic weighting rule for pigmentation.

[0116] Specifically, first, clarify the grading standards for the influence of each core factor, such as skin type being divided into types I-VI, sensitivity into levels 1-5, and basic pigment content into three levels: high / medium / low. Then, combine clinical efficacy data and safety thresholds to establish the corresponding logic between grading and weight correction coefficients, forming a dynamic weighting rule. That is, different grading combinations correspond to differentiated correction coefficients, and the coefficients are dynamically iterated with the treatment feedback of similar patients.

[0117] Subsequently, by using skin analyzers and sensitivity tests, the actual detection levels of the patient's core influencing factors are obtained. Then, by comparing the results with the preset multi-factor dynamic weighting rules for pigmentation, the corresponding weight correction coefficients are accurately matched to ensure that the correction coefficients fit the individual skin condition of the patient.

[0118] S323. Preset coefficient calculation formula: Substitute the weight correction coefficient into the coefficient calculation formula to calculate the dynamic weighted coefficient of the core influencing factor;

[0119] Specifically, a multi-dimensional weighted fusion model is adopted. The formula is based on the core logic of "dynamic weighting coefficient = basic weight × weight correction coefficient × synergistic correction factor". First, clinically validated basic weights are set for each core factor, such as skin sensitivity 0.4, skin type 0.3, and basic pigment content 0.3. Then, a synergistic correction factor is introduced to avoid over-intervention of a single factor, with a value of 0.9-1.1. Subsequently, the weight correction coefficients of each core factor obtained in the previous multi-factor dynamic weighting rule are substituted into the formula one by one. The basic weights, correction coefficients, and synergistic correction factors are integrated through multiplication to calculate the dynamic weighting coefficient of each core influencing factor. During the calculation process, it is necessary to ensure that the coefficients are within a reasonable range of 0.5-1.5. If they exceed the range, they are corrected according to the rules of clinical experts, resulting in a multi-dimensional dynamic weighting coefficient set.

[0120] S324. Integrate the dynamic weighting coefficients of core influencing factors to form a multi-dimensional weighting coefficient group.

[0121] Specifically, a unified dimensional standard for core influencing factors is defined. In this embodiment, the core influencing factors are skin type, skin sensitivity, and basic pigmentation content. It is ensured that the quantitative caliber of the dynamic weighting coefficients for each factor is consistent, such as all falling within the reasonable range of 0.5-1.5. Subsequently, the calculation results for each core factor are structured and organized according to the association logic of "factor type - dynamic weighting coefficient - clinical suitability label," and the patient's skin characteristics corresponding to the coefficient are labeled, such as skin sensitivity level 5 - coefficient 1.5 - high tolerance risk label.

[0122] Next, a consistency check is performed to eliminate logically contradictory data, such as a factor coefficient that exceeds a reasonable range and is not corrected, ensuring that each coefficient conforms to the multi-factor dynamic weighting rules. Finally, the factors are sorted and integrated according to a preset priority, such as sensitivity > skin type > basic pigment content, forming a multi-dimensional weighted coefficient group that includes the name of each core factor, its corresponding dynamic weighting coefficient, adaptation tags, and priority.

[0123] S33. Preset parameter filtering threshold, perform weighted operation on the multi-dimensional weighted coefficient group and the color spot mapping matrix to obtain the optimized matching score, and adjust and filter the color spot mapping matrix based on the optimized matching score and parameter filtering threshold to form the optimized and adjusted color spot mapping matrix.

[0124] In this embodiment of the application, a preset parameter screening threshold is used to perform a weighted operation on the multi-dimensional weighted coefficient group and the color spot mapping matrix to obtain an optimized matching score. The color spot mapping matrix is ​​then adjusted and screened based on the optimized matching score and the parameter screening threshold to form the color spot mapping matrix, which includes the following steps:

[0125] S331, preset parameter filtering threshold and weighted operation logic, perform item-by-item weighted product operation on the dynamic weighted coefficients of the core influencing factors in the multi-dimensional weighted coefficient group and the comprehensive adaptation matching value in the color spot mapping matrix;

[0126] Specifically, the preset parameter screening thresholds are combined with clinical treatment safety standards and efficacy goals, and a reasonable range is defined with reference to historical compatibility data, such as 0.6-1.0. Values ​​below the threshold are considered insufficient compatibility. At the same time, space for personalized adjustments is reserved, allowing for fine-tuning based on the severity of the patient's condition and skin tolerance. For groups with high tolerance risks, such as highly sensitive skin or dark skin, the threshold is increased by 5%-10% to strengthen risk interception; for groups with high skin tolerance and clearly defined pigmentation characteristics, the threshold can be decreased by 3%-5%, balancing efficacy flexibility. Finally, the thresholds must be linked to the clinical scenario. For patients undergoing initial treatment, the upper limit of the safety threshold is emphasized, while for relapsed patients, fine-tuning is performed based on historical treatment feedback to ensure that the thresholds meet general safety standards.

[0127] The weighted calculation logic adopts the principle of "item-by-item correspondence and product fusion," clearly defining the dimensional matching relationship between the multi-dimensional weighted coefficient group and the pigmentation mapping matrix. The dynamic weighted coefficients of the core influencing factors serve as the vertical dimension, while the comprehensive matching value of each treatment method in the mapping matrix serves as the horizontal dimension, ensuring a one-to-one correspondence. Secondly, an influence priority rule is embedded, allocating calculation weights according to the priority order of "sensitivity > skin type > basic pigment content," consistent with the calculation logic of the dynamic weighted coefficients, ensuring that high-risk skin factors have a higher proportion in the calculation. Finally, calculation constraints are set. If the comprehensive matching value of a treatment method is lower than the safety constraint threshold, the calculation is terminated directly and marked as high-risk, simplifying the invalid calculation process. During the calculation, each group of dynamic weighted coefficients is multiplied one by one with the corresponding comprehensive matching value in the matrix, and the calculation process and results are recorded simultaneously to avoid dimensional misalignment. This logic accurately integrates the quantitative impact of individual patient skin characteristics into the treatment plan adaptation assessment.

[0128] First, the dynamic weighted coefficients of three core influencing factors in the multi-dimensional weighted coefficient group are extracted, such as sensitivity 1.4, skin type 0.9, and basic pigment content 1.1. Simultaneously, the comprehensive fit matching value corresponding to a certain treatment method in the pigmentation mapping matrix is ​​located, such as 0.75. Next, a step-by-step multiplication operation is performed, multiplying the dynamic weighted coefficient of each core influencing factor by the comprehensive fit matching value one by one, resulting in three sub-products: 0.75 × 1.4 = 1.05, 0.75 × 0.9 = 0.675, and 0.75 × 1.1 = 0.825. Finally, the sub-products are weighted according to a preset priority, summed, and normalized to obtain the optimized matching score: 1.05 × 0.4 + 0.675 × 0.3 + 0.825 × 0.3 = 0.8625. This score is a dual quantitative indicator of objective technical suitability and individual tolerance.

[0129] S332. Based on the results of the item-by-item weighted product operation, calculate the optimal matching score of the matrix elements to form an optimal matching score matrix;

[0130] Specifically, the quantitative attributes of the calculation results are clearly defined to ensure that all product results follow a uniform numerical scale. Based on the results of the product of multi-dimensional weighted coefficients and color mapping matrix, the matching score is optimized by using the logic of "weighted summation and normalization calibration". For each product result corresponding to each matrix element, the summation is performed according to the preset priority weight of the core influencing factors, and then the summation result is normalized to the 0-1 interval to eliminate the interference caused by the difference in numerical values ​​of different dimensions.

[0131] During the calculation process, the validity of the data is verified simultaneously, and abnormal product results are removed, such as extreme values ​​caused by dimensional misalignment. The optimized matching score corresponding to each position is filled into the corresponding matrix unit according to the row and column dimensions of the original color spot mapping matrix, such as the core color spot feature parameter combination type as the row and the treatment method as the column. The resulting optimized matching score matrix not only retains the structural correlation of the original matrix, but also achieves accurate mapping between individual patient characteristics and treatment plan suitability through quantitative integration.

[0132] S333. Based on the parameter filtering threshold, the optimized matching score matrix is ​​filtered, and elements and corresponding parameter combinations in the optimized matching score matrix that do not meet the parameter filtering threshold are removed to form the adjusted and filtered color spot mapping matrix.

[0133] Specifically, the rules for applying thresholds should be clearly defined, such as retaining only matrix elements with scores ≥ a preset threshold; ensuring that the screening logic is consistent with clinical safety and efficacy goals. Based on the optimized matching score matrix, the process is as follows: "element-by-element verification - correlation parameter location - batch removal": the optimized matching score of each element in the matrix is ​​compared with the preset threshold one by one, and elements with scores below the threshold and their corresponding row and column correlation information are marked, that is, the correspondence between the core pigmentation feature parameter combination and the dual-wavelength treatment method.

[0134] Subsequently, elements in the matrix that do not meet the threshold, as well as the complete parameter combination associated with that element, including the corresponding combination of pigmentation feature parameters and treatment method parameters, are removed simultaneously to avoid residual invalid matching relationships. After screening, the matrix structure is normalized to retain elements that meet the threshold requirements and their corresponding parameter combinations. The continuity of the matrix row and column indices is completed, and the resulting adjusted and screened pigmentation mapping matrix retains only the treatment plan combinations that meet the suitability criteria.

[0135] The treatment method matching module is used to match the optimized and adjusted feature mapping matrix with a library of dual-wavelength treatment methods for port-wine stains.

[0136] In this embodiment of the application, the processing procedure of the treatment method matching module specifically includes the following steps:

[0137] S41. Preset dual-wavelength treatment matching rules, which include safety priority matching rules, optimal efficacy matching rules, and historical fit matching rules.

[0138] Specifically, the safety-first matching rule is based on skin tolerance, clearly defining safety thresholds such as energy density, dual-wavelength power difference, and skin temperature. It divides personalized standards according to skin type and sensitivity, and prioritizes the selection of treatment parameter combinations that do not exceed the thresholds to avoid the risk of adverse reactions. The efficacy-optimal matching rule focuses on the treatment effect of pigmentation, links the core pigmentation characteristic parameters with the adaptation logic of treatment methods, and prioritizes the selection of solutions that meet the comprehensive efficacy score.

[0139] The historical matching rules are based on patients' previous treatment data, extracting effective parameter combinations and prioritizing the matching of treatment methods with high compatibility with historically successful solutions and no adverse feedback. At the same time, a dynamic adjustment mechanism for rule priority is set up to flexibly allocate weights according to patient scenarios, such as first treatment, relapse, sensitive skin, etc., forming a dual-wavelength treatment matching rule system that combines universality and personalization.

[0140] S42. Based on the safety-first matching rule, skin tolerance thresholds are screened from the pigmentation mapping matrix to form a set of safety candidate parameters;

[0141] In this embodiment of the application, the process of selecting skin tolerance thresholds from the pigmentation mapping matrix to form a set of safe candidate parameters based on a safety-first matching rule includes the following steps:

[0142] S421. Deconstruct the safety priority matching rules, clarify the core type indicators of skin tolerance threshold, and set personalized skin tolerance thresholds for the core type indicators.

[0143] Specifically, starting from the core clinical safety requirements, the rules are broken down into three levels: "threshold indicator definition - indicator priority ranking - personalized standard setting." First, the core types of indicators for skin tolerance thresholds are clarified, focusing on key safety influencing factors in dual-wavelength treatment. Four core indicators are selected: energy density, dual-wavelength power difference, skin tolerance temperature, and irradiation duration. Energy density and skin tolerance temperature are given first-level priority, while dual-wavelength power difference and irradiation duration are given second-level priority. Then, personalized thresholds are set based on the patient's core skin parameters: for example, for type I skin (light-colored, low-sensitivity), the energy density threshold is set at 25-30 J / cm². 2 Type VI skin: dark complexion, highly sensitive, set at 15-20 J / cm² 2 When the skin sensitivity level is 5, the skin tolerance temperature threshold is reduced to below 40℃, and the power difference between the two wavelengths is controlled within 1:1; for patients with high basic pigment content, the irradiation time threshold is shortened by 10-20%.

[0144] S422. Extract treatment safety parameters from the pigmentation mapping matrix based on personalized skin tolerance thresholds, and establish a correspondence table between personalized skin tolerance thresholds and treatment safety parameters.

[0145] Specifically, the core indicators for defining skin tolerance thresholds are: energy density, dual-wavelength power difference, and skin tolerance temperature-related thresholds. These are combined with patient skin parameters such as skin type, sensitivity, and basic pigmentation content to set personalized thresholds. For example, the energy density threshold can be lowered by 10%-20% for patients with highly sensitive skin, and the range of the dual-wavelength power difference threshold can be narrowed for patients with dark skin.

[0146] Next, from the pigmentation mapping matrix, treatment safety parameters corresponding to the aforementioned core type indicators are selected, such as energy density values, dual-wavelength power differences, and temperature-related parameters for each treatment regimen, ensuring that the extracted parameters are consistent with the dimensions of the personalized threshold indicators. Finally, a correspondence table is constructed with the structure "Personalized Skin Tolerance Threshold Type - Threshold Value - Corresponding Treatment Safety Parameter - Treatment Regimen to which the Parameter Belongs," clearly presenting the treatment safety parameters and associated regimens that meet the requirements in the pigmentation mapping matrix under each personalized threshold standard.

[0147] S423. The treatment safety parameters in the correspondence table are compared one by one with the personalized skin tolerance threshold. The parameter combinations that do not exceed the corresponding personalized skin tolerance threshold are selected and integrated to form a set of safe candidate parameters.

[0148] Specifically, the data in the corresponding relationship table consists of two core types: first, personalized skin tolerance thresholds, including energy density thresholds, dual-wavelength power difference thresholds, and skin tolerance temperature-related thresholds, which are individually set according to the patient's skin type, sensitivity, and basic pigmentation content; and second, treatment safety parameters extracted from the pigmentation mapping matrix, corresponding to the energy density, dual-wavelength power difference, and temperature-related parameters of each treatment plan. Next, following the principle of "one-to-one correspondence between indicator dimensions," each treatment safety parameter in the table is numerically compared with the personalized skin tolerance threshold of the same dimension. For example, the energy density parameter of a certain plan is compared with the patient's personalized energy density threshold, and the dual-wavelength power difference parameter is compared with the corresponding power difference threshold. Finally, parameter combinations with any indicator exceeding the threshold are removed, and parameter combinations with all indicators within the threshold are retained. These compliant parameter combinations are then integrated according to "treatment plan number - complete parameter item - threshold compliance status" to form a set of safe candidate parameters.

[0149] S43. Match the set of safe candidate parameters with the dual-wavelength treatment method library for port-wine stains based on the optimal efficacy matching rule and the historical adaptation matching rule;

[0150] Specifically, the optimal efficacy rule focuses on the treatment effect of pigmentation, associates the compatibility between the parameters in the safety candidate parameter set and the core pigmentation characteristics, and prioritizes matching parameter combinations that can improve the pigmentation fading rate and reduce the recurrence rate. The historical compatibility rule relies on the patient's previous treatment data to screen combinations with parameter characteristics similar to historically effective treatment plans and without adverse feedback.

[0151] Next, based on the set of safe candidate parameters, the parameters in the pool are first compared with efficacy-related indicators of treatment protocols in the method library according to the optimal efficacy rule, such as the clinically validated lesion improvement rate, retaining the parameter-protocol corresponding items that achieve the efficacy target. Then, combined with the historical fit rule, the patient's historical treatment parameters are retrieved, and the similarity between the candidate pool parameters and historical successful parameters is compared, eliminating items with low fit. Finally, the parameter-protocol combinations that have undergone dual screening by the two types of rules are integrated to complete the matching.

[0152] S44. Validate and output the matched dual-wavelength treatment method for port-wine stains.

[0153] Specifically, the core dimensions of verification cover parameter compliance, efficacy suitability, and historical safety. First, it verifies whether the core parameters of the matching method meet the previously set safety constraints, ensuring that no parameters exceed the individualized skin tolerance range and avoiding basic safety risks. Next, combining core pigmentation characteristic parameters, such as lesion depth and vascular density, it verifies the efficacy suitability of the method to the patient's pigmentation condition, confirming that it meets the expected standards for pigmentation fading rate and recurrence rate in the optimal efficacy rules.

[0154] Simultaneously, the method is compared against historical adaptation rules to verify whether its parameters are consistent with the patient's previous effective treatment protocols, or whether there are successful application records in similar cases, excluding associations with historical adverse feedback. After completing multi-dimensional validation, a standardized report is output, including complete parameters of the treatment method, validation criteria, and adaptation basis.

[0155] The pigmentation treatment module is used to set up a dual-wavelength light source to treat pigmentation in patients based on the matched dual-wavelength treatment method;

[0156] In this embodiment of the application, the processing procedure of the pigmentation treatment module specifically includes the following steps:

[0157] The validated output of the matched dual-wavelength treatment method clarifies its core parameters such as dual-wavelength combination, energy density, power ratio, and irradiation duration. For patients' historical treatment parameters, the focus is on extracting the equipment debugging details of previous effective solutions: such as wavelength adjustment accuracy, power output stability, and parameter adjustment experience corresponding to efficacy feedback: such as values ​​that were adjusted due to excessive energy, and the equipment operating range without adverse reactions.

[0158] Subsequently, based on the parameters of the matching treatment method, the equipment settings were optimized with reference to historical treatment parameters: if a certain wavelength power ratio in the historical parameters showed good efficacy and no side effects, the corresponding parameters in the matching method were fine-tuned to match the equipment's previous stable operating state; at the same time, key indicators such as energy density and irradiation sequence were set according to the requirements of the matching method to ensure that the equipment parameters not only conform to the current adaptation plan, but also avoid the risk parameter range that occurred in the historical treatment. Finally, the dual-wavelength light source equipment was started, and the patient's pigmented area was precisely irradiated according to the set parameters. The skin reaction was monitored in real time during the treatment. If any abnormality occurred, the equipment could be quickly adjusted in combination with historical parameters to ensure treatment safety and meet individual needs.

[0159] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A treatment system for port-wine stains based on pigmentation characteristics and dual-wavelength parameter matching, characterized in that, include: The data acquisition module is used to collect parameters of the patient's port-wine stain area and skin parameters, and to obtain the patient's historical treatment parameters; Obtain a pre-defined library of dual-wavelength treatment methods for port-wine stains, containing various dual-wavelength treatment approaches; The stain mapping module is used to extract stain feature parameters from the stain region parameters of the wine, determine the correspondence between the stain feature parameters and the dual wavelength parameters of the dual wavelength light source, and thus determine the matching value between the stain feature parameters and each dual wavelength treatment method to construct a feature mapping matrix. The matrix optimization and adjustment module is used to extract the core influencing factors and corresponding weighting coefficients from the patient's skin parameters, and perform weighted operations and adjustments with the feature mapping matrix to obtain the optimized and adjusted feature mapping matrix. The treatment method matching module is used to match the optimized and adjusted feature mapping matrix with a library of dual-wavelength treatment methods for port-wine stains. The pigmentation treatment module is used to set up a dual-wavelength light source to treat pigmentation in patients based on the matched dual-wavelength treatment method; The treatment method matching module uses a preset dual-wavelength treatment matching rule to match the dual-wavelength treatment method library for port-wine stains based on the optimized and adjusted feature mapping matrix. The dual-wavelength treatment matching rules include a safety-priority matching rule, an optimal efficacy matching rule, and a historical adaptation matching rule. The safety-priority matching rule is used to set a safety threshold based on skin tolerance to match dual-wavelength treatment methods. The optimal efficacy matching rule is used to prioritize dual-wavelength treatment methods that meet the comprehensive efficacy score based on the treatment effect on pigmentation. The historical adaptation matching rule is used to extract effective parameter combination features based on the patient's historical treatment parameters to match the dual-wavelength treatment method with the highest compatibility with the effective parameter combination features. The matching process includes: Based on the security priority matching rule, the optimized feature mapping matrix is ​​filtered to obtain a set of security candidate parameters; Based on the optimal efficacy matching rule and the historical adaptation matching rule, the set of safe candidate parameters is matched with the dual-wavelength treatment methods in the dual-wavelength treatment method library for port-wine stains.

2. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 1, characterized in that, The processing steps of the color spot mapping module include: Extract the stain feature parameters from the wine stain area parameters and screen out the core stain feature parameters, which include lesion area, blood vessel density, color intensity, lesion depth and distribution uniformity. Obtain the dual-wavelength parameters of the dual-wavelength light source and determine the correspondence between the core color spot feature parameters and the dual-wavelength parameters; Based on the correspondence between the core pigmentation feature parameters and the dual-wavelength parameters, the comprehensive matching value between the core pigmentation feature parameters and each dual-wavelength treatment method is calculated and arranged to form a feature parameter matching value group. Based on the set of characteristic parameter adaptation values, the feature mapping matrix between the pigmentation characteristic parameters and the dual-wavelength treatment method is determined.

3. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 2, characterized in that, The calculation process for the comprehensive adaptation matching value includes: The chromatic aberration feature parameters of each core are normalized, and then the single feature adaptation scores of the chromatic aberration feature parameters of each core and each dual-wavelength treatment method are calculated respectively. The weights corresponding to each core pigmentation feature parameter are determined, and the single feature adaptation scores of each dual-wavelength treatment method are weighted and summed to obtain the comprehensive adaptation matching value between each dual-wavelength treatment method and the patient's pigmentation feature parameters.

4. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 2, characterized in that, The processing of the color spot mapping module also includes: performing security constraint verification on the feature mapping matrix, and using the verified feature mapping matrix as the final output; The process of verifying the security constraints includes: A safety constraint verification index is pre-set, which includes an energy density threshold, a dual-wavelength power difference threshold, and a skin tolerance temperature correlation threshold. The energy density threshold is used to set the safe upper limit of the total energy of the dual-wavelength light on the skin. The dual-wavelength power difference threshold is used to balance the power ratio of the two wavelengths of the dual-wavelength light source. The skin tolerance temperature correlation threshold is used to limit the real-time temperature of the skin during treatment. Based on the energy density threshold, the dual-wavelength power difference threshold, and the skin tolerance temperature correlation threshold, the feature mapping matrix is ​​classified and filtered to remove parameters corresponding to dual-wavelength treatment methods that exceed the threshold. The validity of the feature mapping matrix after classification and filtering is verified, and the feature mapping matrix after validity verification is used as the final output.

5. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 1, characterized in that, The processing steps of the matrix optimization and adjustment module include: The core influencing factors of the patient's skin parameters were extracted, including skin type, skin sensitivity, and basic pigmentation content. Based on the degree of influence of dual-wavelength treatment parameter adaptability and the correlation with treatment safety risks, the core influencing factors are classified according to the grading standards, and the corresponding weight correction coefficients are determined according to different grades. A basic weight is set for each core influencing factor, and a collaborative correction factor is introduced. The dynamic weighting coefficient of each core influencing factor is obtained by multiplying the basic weight, the weight correction coefficient and the collaborative correction factor. The dynamic weighting coefficients of each core influencing factor are integrated to form a multi-dimensional weighting coefficient group that includes the name of each core influencing factor, the corresponding dynamic weighting coefficient, the appropriate label, and the priority. The dynamic weighted coefficients in the multi-dimensional weighted coefficient group are multiplied with the matching values ​​in the feature mapping matrix to obtain the optimized matching score matrix. Based on a preset parameter filtering threshold, each element of the optimized matching score matrix is ​​filtered to obtain a filtered and adjusted feature mapping matrix. The parameter filtering threshold is used to remove risk parameters that exceed the skin's tolerance range.

6. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 5, characterized in that, The optimized matching score matrix uses the dynamic weighting coefficients of each core influencing factor as the vertical dimension and the matching values ​​of each treatment method in the feature mapping matrix as the horizontal dimension. Each element of the optimized matching score matrix is ​​the product of the dynamic weighting coefficient of the corresponding item and the fit matching value.

7. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 1, characterized in that, The process of obtaining the security candidate parameter set includes: The safety priority matching rule is broken down to obtain multiple core indicators with skin tolerance as the core. These multiple core indicators include energy density, dual-wavelength power difference, skin tolerance temperature, and irradiation duration. Personalized thresholds for each core indicator are set based on the patient's skin parameters; In the optimized feature mapping matrix, select security candidate parameters that meet the personalized thresholds of each core indicator, and combine them to obtain the security candidate parameter set.

8. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 1, characterized in that, Based on the aforementioned optimal efficacy matching rule and historical adaptation matching rule, the set of safe candidate parameters is matched with dual-wavelength treatment methods in the dual-wavelength treatment library for port-wine stains, specifically including: Based on the optimal matching rule for therapeutic efficacy, the parameters in the set of safe candidate parameters are compared with the efficacy correlation index of the dual-wavelength treatment method, and safe candidate parameters that meet the therapeutic efficacy target are retained. Based on the historical matching rules, the similarity between the patient's historical treatment parameters and the safe candidate parameters for achieving therapeutic effects is calculated, and safe candidate parameters with a similarity higher than the preset threshold are selected. Based on the safety candidate parameters obtained from the final screening, the corresponding dual-wavelength treatment method is determined.

9. The port-wine stain treatment system based on pigmentation characteristics and dual-wavelength parameter matching according to claim 1, characterized in that, The pigmentation treatment module determines the dual-wavelength combination, energy density, power ratio, and irradiation duration based on the matched dual-wavelength treatment method, and sets the equipment parameters of the dual-wavelength light source with reference to the patient's historical treatment parameters in order to treat the patient's pigmentation.

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