Microwave subcutaneous temperature dynamic detection method and system based on ultrasonic treatment

Abstract

The invention provides a microwave subcutaneous temperature dynamic detection method and system based on ultrasonic treatment, and the method comprises the steps: obtaining the current microwave dynamic data of a subcutaneous target region in real time through a microwave dynamic scanning technology, and obtaining the subcutaneous temperature of the subcutaneous target region based on the current microwave dynamic data; identifying current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area; generating a three-dimensional temperature change distribution diagram of the subcutaneous target area based on the current temperature change data corresponding to each three-dimensional position point, and identifying temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution diagram; and on the basis of the temperature change distribution information, identifying each temperature abnormal region of the subcutaneous target region, and on the basis of each temperature abnormal region of the subcutaneous target region and the region type of each sub-region of the subcutaneous target region, identifying the target region state of the subcutaneous target region. By adopting the scheme, the temperature detection accuracy of the subcutaneous target area can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of microwave dynamic detection, and in particular to a microwave subcutaneous temperature dynamic detection method and system based on ultrasonic therapy. Background Art

[0002] When ultrasound is used for subcutaneous treatment, the subcutaneous tissue will heat up, and the power of ultrasound will attenuate after passing through the subcutaneous tissue. In addition, different techniques of the operator will cause the temperature of the subcutaneous diseased area and the treatment results to change dynamically. Therefore, a method is needed to detect the temperature change of the subcutaneous target area at any time.

[0003] The traditional method of detecting temperature changes in the subcutaneous target area is to perform infrared detection on the user's subcutaneous target area through equipment such as infrared detectors, thereby identifying the temperature data of the subcutaneous target area. However, this method can only detect the temperature data of the range where the diseased area is located. Not only is the timeliness of the acquired temperature data poor, but the temperature detection of the subcutaneous target area is also fuzzy, resulting in low accuracy in real-time temperature detection of the subcutaneous target area. Summary of the invention

[0004] The main purpose of the present invention is to provide a microwave subcutaneous temperature dynamic detection method and system based on ultrasonic therapy, aiming to solve the problem that the prior art can only detect temperature data within the range of the diseased area, not only the timeliness of the acquired temperature data is poor, but also the temperature detection of the subcutaneous target area is vague, resulting in low accuracy of real-time temperature detection of the subcutaneous target area.

[0005] To achieve the above object, the present invention provides a method for dynamic detection of microwave subcutaneous temperature based on ultrasound therapy, the method comprising: The current microwave dynamic data of the subcutaneous target area is acquired in real time by microwave dynamic scanning technology, and the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area is identified based on the current microwave dynamic data; Based on the current temperature change data corresponding to each of the three-dimensional position points, a three-dimensional temperature change distribution map of the subcutaneous target area is generated, and based on the three-dimensional temperature change distribution map, temperature change distribution information of the subcutaneous target area is identified; Based on the temperature change distribution information, each temperature abnormality area of ​​the subcutaneous target area is identified, and based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area, the target area state of the subcutaneous target area is identified.

[0006] Optionally, the identifying, based on the current microwave dynamic data, current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area includes: Acquire structural three-dimensional data of a body structure where the subcutaneous target area is located, and construct a three-dimensional structural model of the body structure based on the structural three-dimensional data of the body structure; The current microwave dynamic data is subjected to data mapping processing in the three-dimensional structural model to obtain three-dimensional distribution information of the microwave dynamic data of the three-dimensional structural model, and the temperature data at each moment corresponding to each microwave dynamic data is identified through a microwave data identification strategy; The temperature data at each moment corresponding to each microwave dynamic data is used to replace each microwave dynamic data in the three-dimensional distribution information of the microwave dynamic data, so as to obtain the three-dimensional temperature distribution information of the subcutaneous target area corresponding to each moment, and the temperature data of each three-dimensional position point in each three-dimensional temperature distribution information is arranged and processed according to the moment corresponding to each three-dimensional temperature distribution information, so as to obtain the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area.

[0007] Optionally, generating the three-dimensional temperature change distribution map of the subcutaneous target area based on the current temperature change data corresponding to each of the three-dimensional position points includes: Based on the current temperature change data corresponding to each of the three-dimensional position points, the temperature change information of each three-dimensional position point is identified, and the temperature change information of each three-dimensional position point is linearly fitted to obtain the actual temperature change information of each three-dimensional position point; The actual temperature change information of each three-dimensional position point is projected onto the three-dimensional structural model of the body structure to obtain a three-dimensional temperature change distribution map of the subcutaneous target area.

[0008] Optionally, the identifying the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map includes: Based on the three-dimensional temperature change distribution diagram of the subcutaneous target area, identifying regional change information of each temperature data of the subcutaneous target area in the subcutaneous target area; Performing grid splitting processing on the three-dimensional temperature change distribution map of the subcutaneous target area to obtain sub-grid areas of the subcutaneous target area, and identifying the regional temperature change rate of each sub-area of ​​the subcutaneous target area and the regional temperature change range of each sub-area of ​​the subcutaneous target area based on the sub-temperature change distribution information of each sub-grid area; The regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area are used as the regional change information of the subcutaneous target area.

[0009] Optionally, the identifying each temperature abnormality area of ​​the subcutaneous target area based on the temperature change distribution information includes: Based on the regional variation information of each temperature data in the subcutaneous target area, identifying the temperature variation range of each temperature data in the subcutaneous target area, and based on the temperature variation range of each temperature data, screening the initial temperature abnormal area in the subcutaneous target area; Based on the regional temperature change range of the initial sub-target area corresponding to each of the initial temperature abnormality areas, and the regional temperature change rate of the initial sub-target area corresponding to each of the temperature abnormality areas, the sub-target areas of the subcutaneous target area are identified through a regional temperature abnormality identification strategy, and all sub-target areas are used as temperature abnormality areas of the subcutaneous target area.

[0010] Optionally, the identifying the target area state of the subcutaneous target area based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area includes: Based on the area type of each sub-target area, the area temperature change range of each sub-target area, and the area temperature change rate of each sub-target area, the sub-area state of each sub-target area is identified through the state identification strategy of each sub-target area; The sub-region states of all sub-target regions and the position information of all sub-target regions are used as the target region state of the subcutaneous target region.

[0011] In addition, to achieve the above-mentioned purpose, the present invention also provides a microwave subcutaneous temperature dynamic detection system based on ultrasound therapy, and the microwave subcutaneous temperature dynamic detection system based on ultrasound therapy comprises: An acquisition module, used to acquire the current microwave dynamic data of the subcutaneous target area in real time through microwave dynamic scanning technology, and identify the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area based on the current microwave dynamic data; A first identification module is used to generate a three-dimensional temperature change distribution map of the subcutaneous target area based on the current temperature change data corresponding to each of the three-dimensional position points, and identify the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map; The second identification module is used to identify each temperature abnormality area of ​​the subcutaneous target area based on the temperature change distribution information, and to identify the target area state of the subcutaneous target area based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area.

[0012] Optionally, the acquisition module is specifically used to: Acquire structural three-dimensional data of a body structure where the subcutaneous target area is located, and construct a three-dimensional structural model of the body structure based on the structural three-dimensional data of the body structure; The current microwave dynamic data is subjected to data mapping processing in the three-dimensional structural model to obtain three-dimensional distribution information of the microwave dynamic data of the three-dimensional structural model, and the temperature data at each moment corresponding to each microwave dynamic data is identified through a microwave data identification strategy; The temperature data at each moment corresponding to each microwave dynamic data is used to replace each microwave dynamic data in the three-dimensional distribution information of the microwave dynamic data, so as to obtain the three-dimensional temperature distribution information of the subcutaneous target area corresponding to each moment, and the temperature data of each three-dimensional position point in each three-dimensional temperature distribution information is arranged and processed according to the moment corresponding to each three-dimensional temperature distribution information, so as to obtain the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area.

[0013] Optionally, the first identification module is specifically used to: Based on the current temperature change data corresponding to each of the three-dimensional position points, the temperature change information of each three-dimensional position point is identified, and the temperature change information of each three-dimensional position point is linearly fitted to obtain the actual temperature change information of each three-dimensional position point; The actual temperature change information of each three-dimensional position point is projected onto the three-dimensional structural model of the body structure to obtain a three-dimensional temperature change distribution map of the subcutaneous target area.

[0014] Optionally, the first identification module is specifically used to: Based on the three-dimensional temperature change distribution diagram of the subcutaneous target area, identifying regional change information of each temperature data of the subcutaneous target area in the subcutaneous target area; Performing grid splitting processing on the three-dimensional temperature change distribution map of the subcutaneous target area to obtain sub-grid areas of the subcutaneous target area, and identifying the regional temperature change rate of each sub-area of ​​the subcutaneous target area and the regional temperature change range of each sub-area of ​​the subcutaneous target area based on the sub-temperature change distribution information of each sub-grid area; The regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area are used as the regional change information of the subcutaneous target area.

[0015] Optionally, the second identification module is specifically used to: Based on the regional variation information of each temperature data in the subcutaneous target area, identifying the temperature variation range of each temperature data in the subcutaneous target area, and based on the temperature variation range of each temperature data, screening the initial temperature abnormal area in the subcutaneous target area; Based on the regional temperature change range of the initial sub-target area corresponding to each of the initial temperature abnormality areas, and the regional temperature change rate of the initial sub-target area corresponding to each of the temperature abnormality areas, the sub-target areas of the subcutaneous target area are identified through a regional temperature abnormality identification strategy, and all sub-target areas are used as temperature abnormality areas of the subcutaneous target area.

[0016] Optionally, the second identification module is specifically used to: Based on the area type of each sub-target area, the area temperature change range of each sub-target area, and the area temperature change rate of each sub-target area, the sub-area state of each sub-target area is identified through the state identification strategy of each sub-target area; The sub-region states of all sub-target regions and the position information of all sub-target regions are used as the target region state of the subcutaneous target region.

[0017] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0018] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0019] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0020] The present invention provides a microwave subcutaneous temperature dynamic detection method and system based on ultrasonic therapy, the method comprising: obtaining the current microwave dynamic data of the subcutaneous target area in real time through microwave dynamic scanning technology, and identifying the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area based on the current microwave dynamic data; generating a three-dimensional temperature change distribution map of the subcutaneous target area based on the current temperature change data corresponding to each three-dimensional position point, and identifying the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map; identifying each temperature abnormal area of ​​the subcutaneous target area based on the temperature change distribution information, and identifying the target area state of the subcutaneous target area based on each temperature abnormal area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area. In this scheme, the microwave dynamic data of the subcutaneous target area is scanned in real time through microwave dynamic scanning technology. Since microwave dynamic scanning can obtain three-dimensional data and microwaves are relatively sensitive to temperature, the microwave dynamic data obtained through microwave dynamic scanning can be effective. Thereby, the temperature data of the subcutaneous target area obtained is more comprehensive and more accurate. Then, this scheme generates a three-dimensional temperature change distribution map of the subcutaneous target area based on the current microwave dynamic data of the subcutaneous target area, so as to comprehensively analyze the temperature abnormal areas of the subcutaneous target area to determine the target area status of the subcutaneous target area. The above data can be analyzed and calculated in real time according to the microwave dynamic scanning data, so that the temperature of the subcutaneous target area can be accurately detected in real time, thereby improving the accuracy of temperature detection of the subcutaneous target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 is a flow chart of a microwave subcutaneous temperature dynamic detection method based on ultrasound therapy provided by an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a microwave subcutaneous temperature dynamic detection system based on ultrasound therapy provided by an embodiment of the present invention; Figure 3 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The microwave subcutaneous temperature dynamic detection method based on ultrasonic therapy provided by the embodiment of the present invention is applied to the microwave subcutaneous temperature dynamic detection system based on ultrasonic therapy. Unless otherwise defined, all technical and scientific terms used in this article have the same meaning as those generally understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0024] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0026] The microwave subcutaneous temperature dynamic detection method based on ultrasound therapy provided in the embodiment of the present application can be applied to the application environment of microwave subcutaneous temperature dynamic detection based on ultrasound therapy. The method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. Among them, the terminal scans the microwave dynamic data of the subcutaneous target area in real time through microwave dynamic scanning technology. Since microwave dynamic scanning can obtain three-dimensional data and microwaves are sensitive to temperature, the microwave dynamic data obtained by microwave dynamic scanning can be effective. Thereby making the temperature data of the subcutaneous target area obtained more comprehensive and more accurate, then this scheme generates a three-dimensional temperature change distribution map of the subcutaneous target area for the current microwave dynamic data of the subcutaneous target area, thereby comprehensively analyzing each temperature abnormal area of ​​the subcutaneous target area to determine the target area state of the subcutaneous target area, and the above data can be analyzed and calculated in real time according to the microwave dynamic scanning data, so that the temperature of the subcutaneous target area can be accurately detected in real time, and the temperature detection accuracy of the subcutaneous target area is improved.

[0027] In one embodiment, Figure 1As shown, a microwave subcutaneous temperature dynamic detection method based on ultrasonic therapy is provided, and the method is applied to a terminal as an example for explanation, including the following steps: Step S101, using microwave dynamic scanning technology, real-time acquisition of current microwave dynamic data of the subcutaneous target area, and based on the current microwave dynamic data, identification of current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area.

[0028] In this embodiment, the terminal performs microwave scanning on the user's body structure range set by the staff in real time through a scanning band with a microwave frequency of 300MHZ~300GHZ, and obtains the current microwave dynamic data of the subcutaneous target area in the body structure range. Among them, the current microwave dynamic data includes the microwave data of the subcutaneous target area at each moment, and the micro-wave data includes the sub-microwave data of each depth range of the subcutaneous target area. Then, based on the current microwave dynamic data, the terminal identifies the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area. Among them, each three-dimensional position point is a unit interval distance preset by the staff, and the position information of each position point is identified within the three-dimensional range of the subcutaneous target area. The specific identification process will be described in detail later. Among them, the preset unit interval distance includes a vertical unit interval distance and a plane unit interval distance, and the vertical unit interval distance includes the upper and lower unit interval distances in the vertical direction, and the plane unit interval distance includes the unit interval distances in different directions on the same plane, and the vertical unit interval distance and the plane unit interval distance can be the same or different. The unit interval distance, for example, 0.5 cm, 0.1 cm, 0.2 cm, etc., can be changed with the adjustment of the staff.

[0029] Step S102, generating a three-dimensional temperature change distribution map of the subcutaneous target area based on the current temperature change data corresponding to each three-dimensional position point, and identifying the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map.

[0030] In this embodiment, the terminal generates a three-dimensional temperature change distribution map of the subcutaneous target area based on the current temperature change data corresponding to each three-dimensional position point, and identifies the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map. Among them, the three-dimensional temperature change distribution map is a dynamic distribution map obtained by arranging the three-dimensional temperature distribution map of the subcutaneous target area at each moment in chronological order. The specific identification process of the three-dimensional temperature change distribution map will be described in detail later. Among them, the temperature change distribution information of the subcutaneous target area includes the regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area. Among them, each sub-area is a three-dimensional grid area obtained after grid segmentation processing, wherein the range of each three-dimensional grid area can be the same or different, wherein the regional range of the three-dimensional grid area at the regional edge of the subcutaneous target area is different from the regional range of the three-dimensional grid area at the regional center of the subcutaneous target area.

[0031] Step S103, based on the temperature change distribution information, identifying each temperature abnormality area of ​​the subcutaneous target area, and based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area, identifying the target area state of the subcutaneous target area.

[0032] In this embodiment, the terminal identifies each temperature abnormality area of ​​the subcutaneous target area based on the temperature change distribution information, and identifies the target area state of the subcutaneous target area based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area. Among them, the temperature abnormality area includes an area with abnormally high temperature and an area with abnormal temperature change. The area type of each sub-area can be, but is not limited to, the area type of each sub-area obtained by the staff performing area classification on each sub-area of ​​the subcutaneous target area. Among them, the area type includes, but is not limited to, a processing area type, an associated area type, a progressive area type, and a connected area type. Among them, the target area state of the subcutaneous target area includes the sub-area state of each target area and the location information of each sub-target area.

[0033] Based on the above scheme, microwave dynamic scanning technology is used to scan the microwave dynamic data of the subcutaneous target area in real time. Since microwave dynamic scanning can obtain three-dimensional data and microwaves are sensitive to temperature, the microwave dynamic data obtained by microwave dynamic scanning can be effective. Thus, the temperature data of the subcutaneous target area obtained is more comprehensive and more accurate. Then, this scheme generates a three-dimensional temperature change distribution map of the subcutaneous target area for the current microwave dynamic data of the subcutaneous target area, thereby comprehensively analyzing each temperature abnormal area of ​​the subcutaneous target area to determine the target area state of the subcutaneous target area, and the above data can be analyzed and calculated in real time according to the microwave dynamic scanning data, so that the temperature of the subcutaneous target area can be accurately detected in real time, thereby improving the accuracy of temperature detection of the subcutaneous target area.

[0034] Optionally, based on the current microwave dynamic data, current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area is identified, including: acquiring the structural three-dimensional data of the body structure where the subcutaneous target area is located, and constructing a three-dimensional structural model of the body structure based on the structural three-dimensional data of the body structure; performing data mapping processing on the current microwave dynamic data in the three-dimensional structural model to obtain three-dimensional distribution information of the microwave dynamic data of the three-dimensional structural model, and identifying the temperature data at each moment corresponding to each microwave dynamic data through a microwave data recognition strategy; replacing each microwave dynamic data in the three-dimensional distribution information of the microwave dynamic data with the temperature data at each moment corresponding to each microwave dynamic data to obtain the three-dimensional temperature distribution information of the subcutaneous target area corresponding to each moment, and arranging the temperature data of each three-dimensional position point in each three-dimensional temperature distribution information according to the moment corresponding to each three-dimensional temperature distribution information to obtain the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area.

[0035] In this embodiment, the terminal obtains the structural three-dimensional data of the body structure where the subcutaneous target area is located, and constructs a three-dimensional structural model of the body structure based on the structural three-dimensional data of the body structure. The three-dimensional structural model can be a model obtained by structural modeling using any program capable of three-dimensional modeling, and the body structure includes but is not limited to limb structure, trunk structure, etc.

[0036] Then, the terminal projects the microwave dynamic data of each three-dimensional position point in the three-dimensional structure model to the three-dimensional structure model, and obtains the three-dimensional distribution information of the microwave dynamic data of the three-dimensional structure model from the position information of each three-dimensional position point, and identifies the temperature data at each moment corresponding to each microwave dynamic data through the microwave data recognition strategy. Among them, the microwave data recognition strategy is a conversion strategy for converting microwave data into temperature data, which is preset in the terminal by the staff, and the terminal converts the microwave data of each three-dimensional position point in the current microwave dynamic data at each moment through the conversion strategy, and obtains the temperature data corresponding to the microwave data of each three-dimensional position point at each moment.

[0037] Then, the terminal replaces each microwave dynamic data in the three-dimensional distribution information of the microwave dynamic data with the temperature data at each moment corresponding to each microwave dynamic data, and obtains the three-dimensional temperature distribution information of the subcutaneous target area corresponding to each moment. Specifically, the terminal performs three-dimensional data distribution processing on the temperature data of each three-dimensional position point at each moment, and obtains the three-dimensional temperature distribution information at each moment.

[0038] Finally, the terminal arranges and processes the temperature data of each three-dimensional position point in each three-dimensional temperature distribution information according to the time corresponding to each three-dimensional temperature distribution information, and obtains the current temperature change data corresponding to each three-dimensional position point in the subcutaneous target area.

[0039] Based on the above scheme, after modeling, the current microwave dynamic data is used for temperature data recognition and three-dimensional distribution arrangement processing to obtain the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area, thereby improving the comprehensiveness and accuracy of the recognition of the current temperature change data of the subcutaneous target area.

[0040] Optionally, based on current temperature change data corresponding to each three-dimensional position point, a three-dimensional temperature change distribution map of the subcutaneous target area is generated, including: based on the current temperature change data corresponding to each three-dimensional position point, identifying the temperature change information of each three-dimensional position point, and performing linear fitting processing on the temperature change information of each three-dimensional position point to obtain the actual temperature change information of each three-dimensional position point; projecting the actual temperature change information of each three-dimensional position point into a three-dimensional structural model of the body structure to obtain a three-dimensional temperature change distribution map of the subcutaneous target area.

[0041] In this embodiment, the terminal identifies the temperature change information of each three-dimensional position point based on the current temperature change data corresponding to each three-dimensional position point, and performs linear fitting processing on the temperature change information of each three-dimensional position point to obtain the actual temperature change information of each three-dimensional position point. The linear fitting processing method is to use a linear fitting algorithm to perform linear fitting on the discrete temperature data of each three-dimensional position point at each moment, and obtain the temperature change curve of each three-dimensional position point, and use the temperature change curve as the actual temperature change information of each three-dimensional position point.

[0042] Finally, the terminal projects the actual temperature change information of each three-dimensional position point into the three-dimensional structural model of the body structure to obtain a three-dimensional temperature change distribution map of the subcutaneous target area.

[0043] Based on the above scheme, the temperature change information of each three-dimensional position point is linearly fitted and then projected onto the three-dimensional structure model, thereby improving the accuracy and practicality of the obtained three-dimensional temperature change distribution map of the subcutaneous target area.

[0044] Optionally, based on a three-dimensional temperature change distribution map, temperature change distribution information of a subcutaneous target area is identified, including: based on the three-dimensional temperature change distribution map of the subcutaneous target area, regional change information of each temperature data in the subcutaneous target area is identified; the three-dimensional temperature change distribution map of the subcutaneous target area is grid-splitting processed to obtain sub-grid areas of the subcutaneous target area, and based on the sub-temperature change distribution information of each sub-grid area, the regional temperature change rate of each sub-area of ​​the subcutaneous target area and the regional temperature change range of each sub-area of ​​the subcutaneous target area are identified; the regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area are used as the regional change information of the subcutaneous target area.

[0045] In this embodiment, the terminal identifies the regional change information of each temperature data in the subcutaneous target area based on the three-dimensional temperature change distribution map of the subcutaneous target area. Among them, each temperature data is the temperature data corresponding to the abnormal temperature value screened by the staff, and then the staff presets each temperature data in the terminal. In the three-dimensional temperature change distribution map of the subcutaneous target area, the terminal identifies the regional range corresponding to each temperature data at each moment, and uses the distance change information of the center point of each regional range and the range size change information of each regional range as the regional change information of the temperature data in the subcutaneous target area.

[0046] Then, the terminal performs grid splitting processing on the three-dimensional temperature change distribution map of the subcutaneous target area to obtain each sub-grid area of ​​the subcutaneous target area, and identifies the regional temperature change rate of each sub-area of ​​the subcutaneous target area and the regional temperature change range of each sub-area of ​​the subcutaneous target area based on the sub-temperature change distribution information of each sub-grid area. Among them, the grid size of each sub-grid area is the grid size preset in the terminal by the staff, and the grid size can change with the adjustment of the staff.

[0047] The terminal uses the regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area as the regional change information of the subcutaneous target area.

[0048] Based on the above scheme, by identifying the regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area, the regional change information of the subcutaneous target area is obtained, thereby improving the comprehensiveness of the obtained regional change information.

[0049] Optionally, based on the temperature change distribution information, each temperature abnormality area of ​​the subcutaneous target area is identified, including: based on the regional change information of each temperature data in the subcutaneous target area, the temperature change range of each temperature data of the subcutaneous target area is identified, and based on the temperature change range of each temperature data, an initial temperature abnormality area is screened in the subcutaneous target area; based on the regional temperature change range of the initial sub-target area corresponding to each initial temperature abnormality area, and the regional temperature change rate of the initial sub-target area corresponding to each temperature abnormality area, each sub-target area of ​​the subcutaneous target area is identified through a regional temperature abnormality identification strategy, and all sub-target areas are used as temperature abnormality areas of the subcutaneous target area.

[0050] In this embodiment, the terminal identifies the temperature change range of each temperature data in the subcutaneous target area based on the regional change information of each temperature data in the subcutaneous target area, and screens the initial temperature abnormal area in the subcutaneous target area based on the temperature change range of each temperature data. Since each temperature data is abnormal temperature data with abnormalities, the range corresponding to each abnormal temperature data is each initial temperature abnormal area.

[0051] Then, based on the regional temperature change range of the initial sub-target area corresponding to each initial temperature abnormality area and the regional temperature change rate of the initial sub-target area corresponding to each temperature abnormality area, the terminal identifies each sub-target area of ​​the subcutaneous target area through the regional temperature abnormality identification strategy, and uses all sub-target areas as temperature abnormality areas of the subcutaneous target area. Specifically, in each initial sub-target area, the terminal screens the initial sub-target area whose temperature range change value is greater than the change range domain value and whose temperature change rate is greater than the change rate domain value as the sub-target area. Among them, the regional temperature abnormality identification strategy is a screening strategy based on the change range threshold and the change rate threshold. Among them, each threshold can change with the adjustment of the staff.

[0052] Based on the above scheme, by first identifying the initial sub-target area in each sub-area, and then identifying the temperature range change value and the temperature change rate value of each initial sub-target area, the recognition accuracy and comprehensiveness of the sub-target area are improved.

[0053] Optionally, based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area, the target area state of the subcutaneous target area is identified, including: based on the area type of each sub-target area, the area temperature change range of each sub-target area, and the area temperature change rate of each sub-target area, through a state identification strategy of each sub-target area, the sub-area state of each sub-target area is identified; and the sub-area states of all sub-target areas and the location information of all sub-target areas are used as the target area state of the subcutaneous target area.

[0054] In this embodiment, the terminal identifies the sub-region state of each sub-target region based on the region type of each sub-target region, the region temperature change range of each sub-target region, and the region temperature change rate of each sub-target region through the state identification strategy of each sub-target region. The state identification strategy includes the range of each temperature change range corresponding to different region states, and the range of each temperature change rate. Then, the terminal identifies the range of each temperature change range to which each region temperature change range belongs, and the range of temperature change rate corresponding to each temperature change rate, thereby determining the sub-region state of each sub-target region.

[0055] Finally, the terminal uses the sub-region states of all sub-target regions and the position information of all sub-target regions as the target region state of the subcutaneous target region.

[0056] Based on the above scheme, the sub-region state of each sub-target region is identified through the regional temperature change range and the regional temperature change rate of each sub-target region, thereby improving the recognition accuracy of the sub-region state.

[0057] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0058] Based on the same inventive concept, the embodiment of the present application also provides a microwave subcutaneous temperature dynamic detection system based on ultrasound therapy for realizing the microwave subcutaneous temperature dynamic detection method based on ultrasound therapy. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the microwave subcutaneous temperature dynamic detection system based on ultrasound therapy provided below can refer to the limitations of the microwave subcutaneous temperature dynamic detection method based on ultrasound therapy above, and will not be repeated here.

[0059] Further references Figure 2 , as a response to the above Figure 1 The present application provides an embodiment of a microwave subcutaneous temperature dynamic detection system 200 based on ultrasound therapy, and the microwave subcutaneous temperature dynamic detection system based on ultrasound therapy includes an acquisition module 210, a first recognition module 220 and a second recognition module 230, wherein: The acquisition module 210 is used to acquire the current microwave dynamic data of the subcutaneous target area in real time through microwave dynamic scanning technology, and identify the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area based on the current microwave dynamic data; A first identification module 220 is used to generate a three-dimensional temperature change distribution map of the subcutaneous target area based on the current temperature change data corresponding to each of the three-dimensional position points, and identify the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map; The second identification module 230 is used to identify each temperature abnormality area of ​​the subcutaneous target area based on the temperature change distribution information, and to identify the target area state of the subcutaneous target area based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area.

[0060] Optionally, the acquisition module 210 is specifically configured to: Acquire structural three-dimensional data of a body structure where the subcutaneous target area is located, and construct a three-dimensional structural model of the body structure based on the structural three-dimensional data of the body structure; The current microwave dynamic data is subjected to data mapping processing in the three-dimensional structural model to obtain three-dimensional distribution information of the microwave dynamic data of the three-dimensional structural model, and the temperature data at each moment corresponding to each microwave dynamic data is identified through a microwave data identification strategy; The temperature data at each moment corresponding to each microwave dynamic data is used to replace each microwave dynamic data in the three-dimensional distribution information of the microwave dynamic data, so as to obtain the three-dimensional temperature distribution information of the subcutaneous target area corresponding to each moment, and the temperature data of each three-dimensional position point in each three-dimensional temperature distribution information is arranged and processed according to the moment corresponding to each three-dimensional temperature distribution information, so as to obtain the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area.

[0061] Optionally, the first identification module 220 is specifically configured to: Based on the current temperature change data corresponding to each of the three-dimensional position points, the temperature change information of each three-dimensional position point is identified, and the temperature change information of each three-dimensional position point is linearly fitted to obtain the actual temperature change information of each three-dimensional position point; The actual temperature change information of each three-dimensional position point is projected onto the three-dimensional structural model of the body structure to obtain a three-dimensional temperature change distribution map of the subcutaneous target area.

[0062] Optionally, the first identification module 220 is specifically configured to: Based on the three-dimensional temperature change distribution diagram of the subcutaneous target area, identifying regional change information of each temperature data of the subcutaneous target area in the subcutaneous target area; Performing grid splitting processing on the three-dimensional temperature change distribution map of the subcutaneous target area to obtain sub-grid areas of the subcutaneous target area, and identifying the regional temperature change rate of each sub-area of ​​the subcutaneous target area and the regional temperature change range of each sub-area of ​​the subcutaneous target area based on the sub-temperature change distribution information of each sub-grid area; The regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area are used as the regional change information of the subcutaneous target area.

[0063] Optionally, the second identification module 230 is specifically configured to: Based on the regional variation information of each temperature data in the subcutaneous target area, identifying the temperature variation range of each temperature data in the subcutaneous target area, and based on the temperature variation range of each temperature data, screening the initial temperature abnormal area in the subcutaneous target area; Based on the regional temperature change range of the initial sub-target area corresponding to each of the initial temperature abnormality areas, and the regional temperature change rate of the initial sub-target area corresponding to each of the temperature abnormality areas, the sub-target areas of the subcutaneous target area are identified through a regional temperature abnormality identification strategy, and all sub-target areas are used as temperature abnormality areas of the subcutaneous target area.

[0064] Optionally, the second identification module 230 is specifically configured to: Based on the area type of each sub-target area, the area temperature change range of each sub-target area, and the area temperature change rate of each sub-target area, the sub-area state of each sub-target area is identified through the state identification strategy of each sub-target area; The sub-region states of all sub-target regions and the position information of all sub-target regions are used as the target region state of the subcutaneous target region.

[0065] Each module in the above-mentioned microwave subcutaneous temperature dynamic detection system based on ultrasound therapy can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0066] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a microwave subcutaneous temperature dynamic detection method based on ultrasonic therapy is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse.

[0067] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0068] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0069] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0070] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0071] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0072] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0073] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0074] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A microwave subcutaneous temperature dynamic detection method based on ultrasound therapy, characterized in that: The method comprises: The current microwave dynamic data of the subcutaneous target area is acquired in real time by microwave dynamic scanning technology, and the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area is identified based on the current microwave dynamic data; Based on the current temperature change data corresponding to each of the three-dimensional position points, a three-dimensional temperature change distribution map of the subcutaneous target area is generated, and based on the three-dimensional temperature change distribution map, temperature change distribution information of the subcutaneous target area is identified; Based on the temperature change distribution information, each temperature abnormality area of ​​the subcutaneous target area is identified, and based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area, the target area state of the subcutaneous target area is identified.

2. The method according to claim 1, characterized in that The identifying, based on the current microwave dynamic data, current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area includes: Acquire structural three-dimensional data of a body structure where the subcutaneous target area is located, and construct a three-dimensional structural model of the body structure based on the structural three-dimensional data of the body structure; The current microwave dynamic data is subjected to data mapping processing in the three-dimensional structural model to obtain three-dimensional distribution information of the microwave dynamic data of the three-dimensional structural model, and the temperature data at each moment corresponding to each microwave dynamic data is identified through a microwave data identification strategy; The temperature data at each moment corresponding to each microwave dynamic data is used to replace each microwave dynamic data in the three-dimensional distribution information of the microwave dynamic data, so as to obtain the three-dimensional temperature distribution information of the subcutaneous target area corresponding to each moment, and the temperature data of each three-dimensional position point in each three-dimensional temperature distribution information is arranged and processed according to the moment corresponding to each three-dimensional temperature distribution information, so as to obtain the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area.

3. The method according to claim 2, characterized in that The generating of the three-dimensional temperature change distribution diagram of the subcutaneous target area based on the current temperature change data corresponding to each of the three-dimensional position points includes: Based on the current temperature change data corresponding to each of the three-dimensional position points, the temperature change information of each three-dimensional position point is identified, and the temperature change information of each three-dimensional position point is linearly fitted to obtain the actual temperature change information of each three-dimensional position point; The actual temperature change information of each three-dimensional position point is projected onto the three-dimensional structural model of the body structure to obtain a three-dimensional temperature change distribution map of the subcutaneous target area.

4. The method according to claim 3, characterized in that The step of identifying the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map includes: Based on the three-dimensional temperature change distribution diagram of the subcutaneous target area, identifying regional change information of each temperature data of the subcutaneous target area in the subcutaneous target area; Performing grid splitting processing on the three-dimensional temperature change distribution map of the subcutaneous target area to obtain sub-grid areas of the subcutaneous target area, and identifying the regional temperature change rate of each sub-area of ​​the subcutaneous target area and the regional temperature change range of each sub-area of ​​the subcutaneous target area based on the sub-temperature change distribution information of each sub-grid area; The regional change information of each temperature data in the subcutaneous target area, the regional temperature change rate of each sub-area, and the regional temperature change range of each sub-area are used as the regional change information of the subcutaneous target area.

5. The method according to claim 4, characterized in that The step of identifying each temperature abnormality area of ​​the subcutaneous target area based on the temperature change distribution information includes: Based on the regional variation information of each temperature data in the subcutaneous target area, identifying the temperature variation range of each temperature data in the subcutaneous target area, and based on the temperature variation range of each temperature data, screening the initial temperature abnormal area in the subcutaneous target area; Based on the regional temperature change range of the initial sub-target area corresponding to each of the initial temperature abnormality areas, and the regional temperature change rate of the initial sub-target area corresponding to each of the temperature abnormality areas, the sub-target areas of the subcutaneous target area are identified through a regional temperature abnormality identification strategy, and all sub-target areas are used as temperature abnormality areas of the subcutaneous target area.

6. The method according to claim 5, characterized in that The identifying the target area state of the subcutaneous target area based on each temperature abnormal area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area includes: Based on the area type of each sub-target area, the area temperature change range of each sub-target area, and the area temperature change rate of each sub-target area, the sub-area state of each sub-target area is identified through the state identification strategy of each sub-target area; The sub-region states of all sub-target regions and the position information of all sub-target regions are used as the target region state of the subcutaneous target region.

7. A microwave subcutaneous temperature dynamic detection system based on ultrasound therapy, characterized in that: The system comprises: An acquisition module, used to acquire the current microwave dynamic data of the subcutaneous target area in real time through microwave dynamic scanning technology, and identify the current temperature change data corresponding to each three-dimensional position point of the subcutaneous target area based on the current microwave dynamic data; A first identification module is used to generate a three-dimensional temperature change distribution map of the subcutaneous target area based on the current temperature change data corresponding to each of the three-dimensional position points, and identify the temperature change distribution information of the subcutaneous target area based on the three-dimensional temperature change distribution map; The second identification module is used to identify each temperature abnormality area of ​​the subcutaneous target area based on the temperature change distribution information, and to identify the target area state of the subcutaneous target area based on each temperature abnormality area of ​​the subcutaneous target area and the area type of each sub-area of ​​the subcutaneous target area.

8. 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 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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