Laser parameter initialization method, device and equipment and endoscope system

Abstract

The invention provides a laser parameter initialization method, a laser parameter initialization device, laser parameter initialization equipment and an endoscope system, and relates to the technical field of data processing. Performing data analysis on the stone data set, and determining a stone feature-region mapping relation; obtaining regional information of the current patient; based on a stone feature-region mapping relation and the region information of the current patient, determining stone features of the current patient; and determining a target calculus type based on the calculus characteristics of the current patient, and determining an initial value of the laser parameter based on the target calculus type, so as to initialize the laser parameter based on the initial value. By pre-determining the mapping relation between the calculus characteristics and the region, the proper initial laser parameters can be quickly and accurately matched according to the region information of the current patient, and the laser parameter initialization accuracy is improved while the laser parameter initialization time is shortened.

Description

Technical Field

[0001] The present application relates to the technical field of endoscope data processing, and in particular to a laser parameter initialization method, device, equipment and endoscope system. Background Art

[0002] Currently, laser lithotripsy is typically performed by inserting the insertion portion of an endoscope into the human body cavity through a natural orifice or surgical channel. Guided by images provided by the endoscope's front-end lens, the physician confirms the location and size of the stone and inserts a laser fiber (such as a holmium laser) through the endoscope's instrument channel for laser lithotripsy. The physician can manually adjust the laser energy and frequency parameters based on the stone's shape, volume, and location to gradually fragment the stone. While this method offers a certain degree of adaptability and flexibility, in practice it relies heavily on the physician's experience and judgment to achieve power matching, which can lead to problems such as inappropriate laser energy selection, low lithotripsy efficiency, and a high risk of tissue thermal damage. Summary of the Invention

[0003] The present application provides a laser parameter initialization method, device, equipment and endoscope system, which can initialize laser parameters based on patient geographical information and avoid the problem of low lithotripsy efficiency caused by improper laser parameter selection by the user.

[0004] This application provides a laser parameter initialization method, comprising: Acquire a stone data set; the stone data set includes a plurality of sample data, each sample data including stone characteristics and regional information of the patient; Perform data analysis on the stone data set to determine the mapping relationship between stone characteristics and regions; Get the current patient's geographical information; Determining the stone characteristics of the current patient based on the mapping relationship between the stone characteristics and the region and the region information of the current patient, wherein the stone characteristics of the current patient include at least one stone type; A target stone type is determined based on the stone characteristics of the current patient, and initial values ​​of laser parameters are determined based on the target stone type, so as to initialize the laser parameters based on the initial values.

[0005] To achieve the above objectives and other related objectives, the present application provides a laser parameter initialization device, comprising: A data acquisition module is used to acquire a stone data set; the stone data set includes a plurality of sample data, each sample data includes stone characteristics and regional information of the patient; A data analysis module is used to analyze the stone data set and determine the mapping relationship between stone characteristics and regions; Information acquisition module, used to obtain the current patient's geographical information; a feature determination module, configured to determine the stone feature of the current patient based on the mapping relationship between stone feature and region and the region information of the current patient, wherein the stone feature of the current patient includes at least one stone type; The initial value determination module is used to determine the target stone type based on the stone characteristics of the current patient, and determine the initial value of the laser parameter based on the target stone type, so as to initialize the laser parameter based on the initial value.

[0006] To achieve the above-mentioned purpose and other related purposes, the present application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements one or more of the aforementioned laser parameter initialization methods.

[0007] To achieve the above objectives and other related objectives, the present application also provides an endoscope system, which includes: an endoscope, a display, a light source device and the aforementioned computer device.

[0008] As described above, the laser parameter initialization method, device, equipment, and endoscope system provided by this application have the following beneficial effects: The present application discloses a laser parameter initialization method, which obtains a stone data set; performs data analysis on the stone data set to determine a mapping relationship between stone characteristics and regions; obtains regional information of the current patient; determines the stone characteristics of the current patient based on the mapping relationship between stone characteristics and regions and the regional information of the current patient; determines a target stone type based on the stone characteristics of the current patient, and determines initial values ​​of laser parameters based on the target stone type, so as to initialize the laser parameters based on the initial values. By predetermining the mapping relationship between stone characteristics and regions, and according to the regional information of the current patient, rapid and accurate matching of appropriate initial laser parameters is achieved, thereby reducing the time for laser parameter initialization and improving the accuracy of laser parameter initialization.

[0009] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, serving to explain the principles of the present application. It is obvious that the drawings described below are merely some embodiments of the present application, and a person of ordinary skill in the art can derive other drawings based on these drawings without inventive effort. In the drawings: Figure 1 is a flow chart of a laser parameter initialization method shown in an exemplary embodiment of the present application; Figure 2 It is a structural block diagram of a laser parameter initialization device shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0011] The following will describe the embodiments of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand the other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for the purpose of illustrating the present application and are not intended to limit the scope of protection of the present application.

[0012] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application. Therefore, the illustrations only show components related to the present application and are not drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component can be changed at will, and the component layout type may also be more complicated.

[0013] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0014] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a laser parameter initialization method according to an exemplary embodiment of the present application. Figure 1 It can be seen that the laser parameter initialization method may include: Step S110, obtaining a stone data set.

[0015] The stone data set includes multiple sample data, and each sample data includes the patient's stone characteristics and regional information.

[0016] In one embodiment of the present application, a stone data set can be obtained. The stone data set may include multiple sample data, and each sample data may correspond to the stone data of a patient, that is, the stone data set may include sample data of multiple patients. Each sample data includes the patient's stone characteristics and geographical information. The geographical information may include detailed information on the patient's permanent residence and permanent residence. The permanent residence may represent a person's registered residence, that is, the place of household registration; the permanent residence may represent a place where a person lives in another place for a long time due to work or other reasons. For example, the permanent residence of patient A is District D, City C, Province B, and the permanent residence of patient A is County G, City F, Province E. The geographical information may also include only the permanent residence or the permanent residence.

[0017] The patient's stone characteristics can be obtained through laboratory reports, etc. The patient's stone characteristics may include stone type, such as calcium oxalate, uric acid, phosphate, and cystine, etc. The stone characteristics may also include the color, translucency, and morphology of each stone type.

[0018] Step S120: performing data analysis on the stone data set to determine the mapping relationship between stone characteristics and regions.

[0019] In one embodiment of the present application, data analysis may be performed on a stone data set to determine a mapping relationship between stone characteristics and regions.

[0020] In one possible implementation, the process of performing data analysis on a stone data set and determining a mapping relationship between stone characteristics and regions may include: aggregating sample data that meets aggregation conditions based on regional information to obtain multiple sample subsets; and performing feature analysis on the stone characteristics of each sample data in each sample subset to determine the stone characteristics corresponding to each regional information.

[0021] The aggregation conditions may include: aggregating samples with consistent geographical information into a sample subset. The geographical information may include the patient's permanent residence information and permanent place of residence information, and samples with consistent permanent place of residence information and permanent place of residence information may be aggregated into a sample subset. For example, if the permanent place of residence and permanent place of residence of patient A are consistent with the permanent place of residence and permanent place of residence of patient B, then patient A and patient B may be aggregated into a sample subset. It should be noted that the sample data may be aggregated based on the smallest division unit in the geographical information (such as a county). If the number of sample data in the aggregated sample subset is less than a preset number, the samples may be aggregated based on the upper unit of the smallest division unit in the geographical information (such as a city). Such a setting can avoid the problem of too few samples in the sample subset resulting in the inability to learn effective stone features, and can enable each sample subset to aggregate enough samples for effective stone feature extraction.

[0022] Based on the regional information of each sample, samples that meet the aggregation conditions can be aggregated to obtain multiple sample subsets. Each sample subset includes sample data with multiple consistent regional information. Usually, patients with consistent regional information have similar stone characteristics. By analyzing the stone characteristics of each sample in each sample subset, the stone characteristics corresponding to the regional information can be determined, thereby forming a mapping relationship between stone characteristics and region.

[0023] For example, the mapping relationship between stone characteristics and regions may include: Province A, City B - 50% Class A stones, 30% Class B stones, 15% Class C stones, and the remaining 5% are other types of stones. Among these 5%, there are multiple other stones. These 5% of stone types have little impact on the overall distribution and need to be marked as other to avoid interfering with the main distribution.

[0024] Exemplarily, the preset number may be 10.

[0025] Step S130: Acquire the region information of the current patient.

[0026] In one embodiment of the present application, the region information of the current patient can be obtained. Before performing laser lithotripsy on the current patient, the region information of the current patient can be obtained first.

[0027] For example, the current patient's geographical information can be input through an endoscope host or a terminal such as a computer.

[0028] Step S140: determining the stone characteristics of the current patient based on the mapping relationship between stone characteristics and regions and the region information of the current patient.

[0029] The stone characteristics of the current patient include at least one stone type.

[0030] In one embodiment of the present application, the stone characteristics of the current patient can be determined based on the mapping relationship between stone characteristics and regions and the regional information of the current patient. That is, the stone characteristics that are consistent with the regional information of the current patient can be determined in the mapping relationship between stone characteristics and regions, and the stone characteristics are also the stone characteristics of the current patient. In the mapping relationship between stone characteristics and regions, the stone characteristics corresponding to the regions may include multiple stone types, and the proportion of each stone type may be the same or different.

[0031] If the region information of the current patient does not exist in the mapping relationship between stone characteristics and regions, the preset initial power value can be determined as the initial value of the laser parameter and the laser parameter can be initialized. The preset initial power value can be preset by the user based on the proportion of various types of stones in historical patients.

[0032] Step S150, determining the target stone type based on the stone characteristics of the current patient, and determining the initial values ​​of the laser parameters based on the target stone type, so as to initialize the laser parameters based on the initial values.

[0033] In one embodiment of the present application, the target stone type can be determined based on the stone characteristics of the current patient, and the initial values ​​of the laser parameters can be determined based on the target stone type. The laser parameters may include laser power, pulse frequency, and pulse width. The target stone type can be the stone type with the highest probability among the stone characteristics of the current patient. The laser parameters can be initialized before the operation, that is, the laser parameter initialization method provided in the embodiment of the present application needs to be performed before the operation.

[0034] In the related art, the initial value of the preset value is generally set, or the doctor determines the accurate stone information through three-dimensional imaging and other equipment, and then sets the initial value of the relevant laser parameter. However, there are many types of stones, and it is difficult to adapt the initial value of the preset value to various types of stones. This initialization method also requires the doctor to adjust it many times. Although determining accurate stone information can improve the accuracy of laser parameter initialization, it is still necessary to perform additional tests on the patient, resulting in increased costs and waste of time. The laser parameter initialization method provided in the embodiment of the present application can be analyzed at the data level based on the stone data set of historical data to determine the mapping relationship between stone characteristics and regions, obtain the regional information of the current patient before surgery, determine the stone characteristics of the current patient through data analysis, and then match the corresponding initial value of the laser parameter. The correlation between the stone and the region can be used to determine a more accurate initial value of the laser parameter, which can reduce the number of subsequent adjustments to the laser parameters by the doctor, and improve the accuracy of laser parameter initialization while reducing costs and avoiding time waste.

[0035] It should be noted that steps S130 to S150 can be executed by the endoscope host. Steps S130 to S150 can also be executed by a terminal such as a mobile phone or a computer. After executing step S150 to obtain the initial values ​​of the laser parameters, the initial values ​​can be sent to the endoscope host. After receiving the initial values, the endoscope host can initialize the laser parameters based on the initial values.

[0036] In one possible embodiment, the process of determining the target stone type based on the stone characteristics of the current patient and determining the initial value of the laser parameter based on the target stone type may include: determining the initial value of the laser parameter based on a preset stone type-laser parameter mapping relationship and the target stone type.

[0037] In one embodiment of the present application, a mapping relationship between stone type and laser parameters can be pre-calibrated. For example, if type A stone characteristics are more effective for laser lithotripsy at power x, then the calibrated mapping relationship for type A stone characteristics corresponds to power x. After calibrating the mapping relationship between stone type and laser parameters, the initial values ​​of the laser parameters can be determined based on the current patient's stone characteristics. This initial value is determined based on the patient's stone characteristics, and the selection of the initial value is more consistent with the ideal power for laser lithotripsy, which can avoid the randomness of initial values ​​determined based on user experience and reduce the time wasted by the user adjusting the laser parameters.

[0038] For example, the geographical information is Province A, City B, and its corresponding stone probability distribution can be 50% for Class A stones, 30% for Class B stones, and 15% for Class C stones. When the current patient's geographical information is Province A, City B, the current patient's stone characteristics can be the stone probability distribution: 50% for Class A stones, 30% for Class B stones, and 15% for Class C stones. When determining the initial value of the laser parameter, the stone type with the highest probability can be used as the benchmark, that is, the stone type with the highest probability can be determined as the target stone type, and the laser parameter corresponding to the target stone type can be determined as the initial value; when the laser parameter corresponding to the target stone type is a range value, the middle value of the laser parameter range of the target stone type can be used as the initial value of the laser parameter.

[0039] In another possible embodiment, the process of determining the initial values ​​of laser parameters based on the stone characteristics of the current patient may further include: obtaining the stone element composition of the current patient; determining the target stone type based on the stone element composition of the current patient and the stone characteristics of the current patient; and determining the initial values ​​of laser parameters based on the target stone type. The stone element composition of the current patient can characterize the stone element composition of the stone characteristics of the current patient. Different types of stones have corresponding stone element compositions that are different, and obtaining the stone element composition of the current patient can assist in determining the stone type. The stone characteristics of the current patient may include the probabilities of each stone type, and the target stone type can be determined from each stone type using the stone element composition of the current patient.

[0040] In one embodiment of the present application, the process of obtaining the elemental composition of the current patient's stones may include: performing laser detection on the current patient's stones; obtaining the spectral signal of the current patient's stones, analyzing the spectral signal, and determining the elemental composition of the stones.

[0041] It should be noted that endoscopes can be integrated with LIBS (Laser Induced Breakdown Spectroscopy) or Raman spectroscopy components, which emit low-energy detection lasers to illuminate the stone surface. Spectral sensors capture the spectral signals reflected or scattered by the stone and analyze elemental peaks, such as the calcium peak wavelength, phosphorus peak, and uric acid peak. The distinct peaks for each element can be used to determine the elemental composition of the stone.

[0042] For example, the elemental composition of stones may include: high calcium content, medium phosphorus content and low uric acid content.

[0043] In one possible implementation, an element-initial stone type mapping table can be pre-set based on clinical pathological consensus to directly match elemental features with initial stone types: high calcium plus high oxalate corresponds to an initial stone type of calcium oxalate stone; high uric acid corresponds to an initial stone type of uric acid stone; and high cystine corresponds to an initial stone type of cystine stone.

[0044] It should be noted that the initial stone type can be determined based on the composition of stone elements, and the stone characteristics of the current patient may include the probabilities of multiple stone types. If there is a stone feature consistent with the initial stone type among the stone characteristics of the current patient, then the stone type consistent with the initial stone type can be determined as the target stone feature among the multiple stone types. If there is no stone feature consistent with the initial stone type among the stone characteristics of the current patient, then the initial stone type can be determined as the target stone type, and the number of times the stone feature consistent with the initial stone type is not present in the stone characteristics of the current patient is accumulated. When the accumulated number is equal to the preset accumulated number, the current patient's regional information is calibrated with the initial stone type and the mapping relationship between stone features and regions is updated (it should be noted that when the three information of regional information, patient's stone characteristics and patient's initial stone type are all consistent, it can be accumulated once); or the initial stone type can be determined again after changing the laser detection position until the number of laser detections reaches the preset number, which can be 3 times.

[0045] In one possible implementation, the mapping relationship between stone type and laser parameters can be pre-calibrated, and based on the stone characteristics of the current patient, the initial value of the laser parameter can be determined in the mapping relationship between stone type and laser parameters.

[0046] In another possible implementation, the initial values ​​of the laser parameters are determined based on the stone characteristics of the current patient, and the process of initializing the laser parameters based on the initial values ​​may include: obtaining a stone image of the current patient; determining the stone surface area based on the stone image of the current patient; determining the stone hardness and stone transmittance based on the stone characteristics of the current patient; and determining the initial values ​​of the laser parameters based on the stone surface area, stone hardness and stone transmittance.

[0047] The stone image of the current patient can be obtained. The stone image can be obtained through the lens of the endoscope. The stone image of the current patient can be input into a pre-trained mask model to obtain a binary mask of the stone area output by the mask model, that is, a binary image. The number of pixel values ​​representing the stone area is determined in the binary mask, and the two-dimensional area of ​​the stone area, that is, the surface area of ​​the stone, is determined by the pre-determined number of pixels corresponding to the unit area and the number of pixel values ​​of the stone area. After determining the target stone type of the current patient, the stone hardness and stone transmittance of the current patient can be determined in the pre-calibrated mapping relationship of stone type-stone hardness-stone transmittance.

[0048] For example, the initial value of the laser parameter may be determined based on a laser parameter determination formula, the stone surface area, the stone hardness, and the stone transmittance. The laser parameter determination formula may include: ; Wherein, P is the laser power, H is the hardness of the stone, T is the transmittance of the stone, W is the pulse width, F is the pulse frequency, S is the surface area of ​​the stone, 、 、 、 、 、 as well as Fitting parameters for different models can be obtained through training.

[0049] It should be noted that the mask model can be U-Net, the loss function can be Dice Loss loss function, and the mask model can be trained based on a training sample set. The training sample set can include multiple training sample pairs, and each training sample pair includes a stone image and a corresponding stone area mask.

[0050] Exemplarily, the pixel value of the stone area in the binary mask of the stone area can be 1, and the background pixel value can be 0. The number of pixel values ​​in the stone area can be 50,000. A calibration object of known size can be placed in the center of the endoscope field of view. For example, the size of the calibration object is 1 square millimeter. The calibration object and the endoscope are set at a preset interval and an image of the calibration object is taken. The pixels occupied by the calibration object in the image are calculated. For example, if the pixels occupied by the calibration object are 10,000 pixels, the number of pixels per unit area is 10,000 pixels / square millimeter. The surface area of ​​the stone can be 50,000 ÷ 10,000 = 5 square millimeters. A distance measuring device, such as a laser distance measuring device, can be integrated at the front end of the endoscope. When the laser distance measuring device measures that the distance between the stone and the endoscope is the preset interval distance, an image of the stone of the current patient at this time is obtained.

[0051] In one embodiment of the present application, the laser parameter initialization method may further include: obtaining the ambient temperature, which represents the working environment temperature of the laser lithotripsy; when the ambient temperature is greater than or equal to a preset temperature threshold, reducing the laser parameters or pausing the laser output. The endoscope may be integrated with a temperature sensor, through which the ambient temperature can be obtained. Reducing the laser parameters may mean downgrading the laser power. By monitoring the ambient temperature, adjusting the laser parameters or pausing the laser output, thermal damage that may be caused by excessive local temperature can be avoided. In addition, the condition of the tissue surrounding the stone can be monitored in real time through images. If the tissue is detected to be close to the laser target point, the power is automatically reduced or the laser output is paused to prevent burn damage.

[0052] For example, the preset temperature may be 42°C.

[0053] Figure 2 FIG. 1 is a block diagram of a laser parameter initialization device according to an exemplary embodiment of the present application. Figure 2 As shown, the exemplary laser parameter initialization device 200 includes: The data acquisition module 210 is used to acquire a stone data set; the stone data set includes a plurality of sample data, and each sample data includes the stone characteristics and regional information of the patient.

[0054] The data analysis module 220 is used to perform data analysis on stone characteristics and determine the mapping relationship between stone characteristics and regions.

[0055] The information acquisition module 230 is used to obtain the regional information of the current patient.

[0056] The feature determination module 240 is used to determine the stone feature of the current patient based on the mapping relationship between stone feature and region and the region information of the current patient. The stone feature of the current patient includes at least one stone type.

[0057] The initial value determination module 250 is used to determine the target stone type based on the stone characteristics of the current patient, and determine the initial value of the laser parameter based on the target stone type, so as to initialize the laser parameter based on the initial value.

[0058] In one embodiment of the present application, the initial value determination module is further configured to: Based on the preset mapping relationship between stone type and laser parameters and the target stone type, the initial value of the laser parameter is determined.

[0059] In one embodiment of the present application, the initial value determination module is further configured to: Obtain the elemental composition of the stone of the current patient; Determine the target stone type based on the current patient's stone element composition and the current patient's stone characteristics; Initial values ​​for laser parameters were determined based on the target stone type.

[0060] In one embodiment of the present application, the initial value determination module is further configured to: Obtain the spectral signal of the current patient's stones, analyze the spectral signal, and determine the elemental composition of the stones.

[0061] In one embodiment of the present application, the feature determination module is further configured to: Aggregate sample data that meets aggregation conditions based on regional information to obtain multiple sample subsets; The stone characteristics of each sample data in each sample subset were analyzed to determine the stone characteristics corresponding to each regional information.

[0062] In one embodiment of the present application, the initial value determination module is further configured to: Obtain stone images of the current patient; Determine the stone surface area based on the current patient's stone image; Determine the stone hardness and stone transmittance based on the current patient's stone characteristics; The initial values ​​of laser parameters were determined based on the stone surface area, stone hardness, and stone transmittance.

[0063] In one embodiment of the present application, the laser parameter initialization device may further include: A temperature data acquisition module is used to acquire the ambient temperature, where the ambient temperature represents the working environment temperature of the laser lithotripsy; The laser control module is used to reduce laser parameters or pause laser output when the ambient temperature is greater than or equal to a preset temperature threshold.

[0064] It should be noted that the laser parameter initialization device provided in the above embodiment and the laser parameter initialization method provided in the above embodiment are based on the same concept. The specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here. In actual applications, the laser parameter initialization device provided in the above embodiment can distribute the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0065] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the laser parameter initialization method provided in each of the above embodiments.

[0066] Another aspect of the present application provides a computer-readable storage medium having a computer program stored thereon. When executed by a computer processor, the computer program causes the computer to perform the laser parameter initialization methods provided in the aforementioned embodiments. The computer-readable storage medium may be included in the electronic device described in the aforementioned embodiments, or may exist independently and not be incorporated into the electronic device.

[0067] Another aspect of the present application provides a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the laser parameter initialization method provided in each of the above embodiments.

[0068] In the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance. Throughout the specification and claims, the terms "including" and "comprising" are open-ended terms and should be interpreted as "including but not limited to."

[0069] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, any equivalent modifications or alterations accomplished by a person of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. A laser parameter initialization method, characterized in that: include: Acquire a stone data set; the stone data set includes a plurality of sample data, each sample data including stone characteristics and regional information of the patient; Perform data analysis on the stone data set to determine the mapping relationship between stone characteristics and regions; Get the current patient's geographical information; Determining the stone characteristics of the current patient based on the mapping relationship between the stone characteristics and the region and the region information of the current patient, wherein the stone characteristics of the current patient include at least one stone type; A target stone type is determined based on the stone characteristics of the current patient, and initial values ​​of laser parameters are determined based on the target stone type, so as to initialize the laser parameters based on the initial values.

2. The laser parameter initialization method according to claim 1, characterized in that: The method of determining the target stone type based on the stone characteristics of the current patient and determining the initial values ​​of the laser parameters based on the target stone type includes: Based on the preset mapping relationship between stone type and laser parameters and the target stone type, the initial value of the laser parameter is determined.

3. The laser parameter initialization method according to claim 1, characterized in that: The target stone type is determined based on the stone characteristics of the current patient, and the initial values ​​of the laser parameters are determined based on the target stone type, including: Obtain the elemental composition of the stone of the current patient; Determine the target stone type based on the current patient's stone element composition and the current patient's stone characteristics; Initial values ​​for laser parameters were determined based on the target stone type.

4. The laser parameter initialization method according to claim 3, characterized in that: The step of obtaining the stone element composition of the current patient includes: Obtain the spectral signal of the current patient's stones, analyze the spectral signal, and determine the elemental composition of the stones.

5. The laser parameter initialization method according to claim 1, characterized in that: The data analysis of the stone data set to determine the mapping relationship between stone characteristics and regions includes: Aggregate sample data that meets aggregation conditions based on regional information to obtain multiple sample subsets; The stone characteristics of each sample data in each sample subset were analyzed to determine the stone characteristics corresponding to each regional information.

6. The laser parameter initialization method according to claim 1, characterized in that: The step of determining the initial values ​​of the laser parameters based on the stone characteristics of the current patient, and initializing the laser parameters based on the initial values, includes: Obtain stone images of the current patient; Determine the stone surface area based on the current patient's stone image; Determine the stone hardness and stone transmittance based on the current patient's stone characteristics; The initial values ​​of the laser parameters were determined based on the stone surface area, stone hardness, and stone transmittance.

7. The laser parameter initialization method according to any one of claims 1 to 6, characterized in that: The method further comprises: Acquiring an ambient temperature, wherein the ambient temperature represents a working ambient temperature of laser lithotripsy; When the ambient temperature is greater than or equal to the preset temperature threshold, the laser parameters are reduced or the laser output is paused.

8. A laser parameter initialization device, characterized in that: include: A data acquisition module is used to acquire a stone data set; the stone data set includes a plurality of sample data, each sample data includes stone characteristics and regional information of the patient; A data analysis module is used to analyze the stone data set and determine the mapping relationship between stone characteristics and regions; Information acquisition module, used to obtain the current patient's geographical information; a feature determination module, configured to determine the stone feature of the current patient based on the mapping relationship between stone feature and region and the region information of the current patient, wherein the stone feature of the current patient includes at least one stone type; The initial value determination module is used to determine the target stone type based on the stone characteristics of the current patient, and determine the initial value of the laser parameter based on the target stone type, so as to initialize the laser parameter based on the initial value.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. An endoscope system, characterized in that: The endoscope system comprises an endoscope, a display, a light source device, and the computer device according to claim 9.

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