Data processing method, device, system, equipment and medium for steam ablation

Abstract

The present invention provides a data processing method, device, system, equipment and medium for steam ablation, wherein the data processing method for steam ablation includes: based on the position information of each position within the target object, the specified steam heat required to be released by the steam ablation device over time during the ablation process, and the simulated blood flow conditions of the target object, constructing a temperature change model corresponding to the target object, the temperature change model is used to simulate: during the process of steam ablation of any position within the target object, the change in temperature of the tissue within the target object over time; based on the acquired target object position to be ablated and the temperature change model, predicting the temperature change of the tissue within the target object during the steam ablation process.

Description

Technical Field

[0001] The present invention relates to the medical field, and in particular to a data processing method, device, system, equipment and medium for steam ablation. Background Art

[0002] Thermal vapor ablation is an ablation technique that releases vapor into tissue within a target subject, thereby delivering thermal energy in a targeted manner.

[0003] In existing related technologies, during or before ablation surgery, only past experience and the results of preoperative ablation experiments can be used to provide a reference for steam ablation, and the actual state of the tissue in the target object during the steam ablation process cannot be depicted. Summary of the Invention

[0004] The present invention provides a data processing method, device, system, equipment and medium for steam ablation, so as to solve the problem that the actual state of tissue in a target object during steam ablation cannot be depicted.

[0005] According to a first aspect of the present invention, a method for processing steam ablation data is provided, comprising:

[0006] Based on the information of each position in the target object, the specified steam heat that the steam ablation device needs to release over time during the ablation process, and the simulated blood flow conditions of the target object, a temperature change model corresponding to the target object is constructed. The temperature change model is used to simulate: during the process of steam ablation at any position in the target object, the temperature change of the tissue in the target object changes over time;

[0007] The temperature change of the tissue in the target object during the steam ablation process is predicted based on the acquired position of the target object to be ablated and the temperature change model.

[0008] Optionally, based on the position information within the target object, the specified steam heat required to be released by the steam ablation device over time during the ablation process, and the simulated blood flow of the target object, a temperature change model corresponding to the target object is constructed, including:

[0009] Acquire a virtual anatomical model of the target object, and determine various position information within the target object according to the virtual anatomical model;

[0010] Based on the determined position information, the designated steam heat, and the simulated blood flow condition, a temperature change model corresponding to the target object is constructed.

[0011] Optionally, constructing a temperature change model corresponding to the target object based on the determined position information, the specified steam heat, and the simulated blood flow condition includes:

[0012] determining a heat diffusion model based on the simulated blood flow condition and any position information within the target object, the heat diffusion model simulating heat changes at various positions within the target object caused by the simulated blood flow condition during a steam ablation operation performed at a position within the target object that matches the any position information;

[0013] determining a heat transfer model based on the designated steam heat and the any position information, the heat transfer model simulating a heat transfer process of the designated steam heat at various positions of the target object during a steam ablation operation performed at a location within the target object that matches the any position information;

[0014] The temperature change model is calculated by processing the heat diffusion model and the heat transfer model.

[0015] Optionally, calculating the temperature change model by processing the heat diffusion model and the heat transfer model includes:

[0016] Based on the heat diffusion model and the heat transfer model, simulating the ablation heat obtained by the tissue in the target object during the steam ablation operation performed at any position information in the target object;

[0017] The ablation heat is applied to a biological heat equation to calculate the temperature change model using the biological heat equation.

[0018] Optionally, the steam ablation data processing method further includes: obtaining any actual steam ablation position in an actual ablation set, wherein the actual ablation set includes a mapping relationship between each actual steam ablation position and a corresponding actual steam ablation result; the actual ablation result represents: a temperature change at each position of the target object during a steam ablation operation corresponding to the actual steam ablation position in the target object;

[0019] obtaining a predicted steam ablation result according to any actual steam ablation position; the predicted steam ablation result is predicted by the temperature change model;

[0020] Based on the difference information between the actual steam ablation result corresponding to any actual steam ablation position and the predicted steam ablation result, the personalized physiological parameters of the temperature change model are adjusted.

[0021] Optionally, the personalized physiological parameters of the temperature change model include at least one of the following:

[0022] thermal conductivity of tissue within the target object;

[0023] tissue density of tissue within the target object;

[0024] tissue heat capacity of tissue within the target object;

[0025] The blood density in the target object

[0026] the specific heat capacity of the blood in the target subject;

[0027] The blood perfusion rate in the target object.

[0028] Optionally, the method for obtaining the specified steam heat includes:

[0029] determining a concentration of steam released by the ablation device when tissue within the target object is ablated by the steam;

[0030] Determining an evaporation flux based on the vapor concentration, wherein the evaporation flux is used to characterize the mass of liquid water accumulated on the inner wall of the tissue of the target object per unit time and per unit area during the vapor ablation process;

[0031] The specified steam heat is calculated based on the evaporation flux.

[0032] Optionally, the steam ablation data processing method further includes:

[0033] Acquiring an ablation effect simulation model; the ablation effect simulation model is used to simulate damage to tissue in the target object during steam ablation;

[0034] Based on the ablation effect simulation model and the steam ablation duration, a current ablation effect of the tissue in the target object is predicted, where the current ablation effect represents damage to the tissue in the target object during the steam ablation process.

[0035] According to a second aspect of the present invention, there is provided a data processing device for steam ablation, comprising:

[0036] a model determination module, configured to construct a temperature change model corresponding to the target object based on information about various locations within the target object, a specified amount of steam heat that the steam ablation device needs to release over time during the ablation process, and simulated blood flow conditions of the target object, wherein the temperature change model is configured to simulate changes in the temperature of tissue within the target object over time during steam ablation of any location within the target object;

[0037] The prediction module is used to predict the temperature change of the tissue in the target object during the steam ablation process according to the acquired position of the target object to be ablated and the temperature change model.

[0038] According to a third aspect of the present invention, a steam ablation system is provided, comprising a steam ablation device, a data processing device, and a display device, wherein the data processing device is used to execute the data processing method involved in the first aspect and its optional scheme, and the display device is used to display the temperature change predicted by the data processing method.

[0039] According to a fourth aspect of the present invention, there is provided an electronic device comprising a processor and a memory,

[0040] The memory is used to store code;

[0041] The processor is used to execute the code in the memory to implement the method involved in the first aspect and its optional solution.

[0042] According to a fifth aspect of the present invention, there is provided a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method involved in the first aspect and its optional solutions.

[0043] The steam ablation data processing method, apparatus, system, device, and medium provided by the present invention incorporates a temperature variation model specific to the target object; this temperature variation model can be used to predict changes in the temperature of the target object's tissue over time. Furthermore, the changes predicted by the temperature variation model can be used to predict the actual temperature of the target object's tissue during the steam ablation process, providing a sufficient and effective basis for subsequent steam ablation execution.

[0044] At the same time, since the temperature change model is constructed based on the specified steam heat and simulated blood flow conditions, the predicted results of the temperature change model can accurately match the specified steam heat actually required for steam ablation and the simulated blood flow conditions of the target object, ensuring the accuracy and effectiveness of the prediction results. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 is a schematic diagram of the structure of a steam ablation system in an exemplary embodiment of the present invention;

[0047] Figure 2 is a flow chart of a data processing method for steam ablation in an exemplary embodiment of the present invention;

[0048] Figure 3 is a schematic diagram of a process for constructing a temperature change model in an exemplary embodiment of the present invention;

[0049] Figure 4 is a schematic diagram of a specific process of constructing a temperature change model in an exemplary embodiment of the present invention;

[0050] Figure 5 is a schematic diagram of a process for obtaining a specified amount of steam heat in an exemplary embodiment of the present invention;

[0051] Figure 6 A schematic diagram of an exemplary process for adjusting a temperature change model according to the present invention;

[0052] Figure 7 is a schematic diagram of a process for predicting the current ablation effect in an exemplary embodiment of the present invention;

[0053] Figure 8 is a schematic diagram of program modules of a data processing device 800 for steam ablation in an exemplary embodiment of the present invention;

[0054] Figure 9 is a schematic diagram of program modules of a data processing device 900 for steam ablation in an exemplary embodiment of the present invention;

[0055] Figure 10 is a schematic diagram of program modules of a data processing device 1000 for steam ablation in an exemplary embodiment of the present invention;

[0056] Figure 11 FIG. 1 is a schematic diagram of the structure of an electronic device in an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0058] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way are interchangeable where appropriate, so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or apparatus.

[0059] The following specific embodiments are used to describe the technical solution of the present invention in detail. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0060] Please refer to Figure 1 An embodiment of the present invention provides a steam ablation system, including a steam ablation device 101 , a data processing device 102 , and a display device 103 .

[0061] The steam ablation device 101 may be any device capable of performing steam ablation, for example, it may include a steam generator, a bronchoscope, and a steam catheter;

[0062] The steam catheter is installed in the bronchoscope, and the steam generated by the steam generator can be delivered to the steam catheter. Then, when using the steam ablation device 101, the steam catheter can be sent into the human body through the bronchoscope. Then, the steam generated by the steam generator can be sent to the target position in the human body (such as the target lung tissue identified by high-resolution CT) through the steam catheter. Then, under the control of the steam generator, a predetermined amount of high-temperature water vapor can be released to produce a thermal reaction, which acts on the patient's target position (such as the target lung tissue) to achieve steam ablation. When applied to lung tissue, steam ablation can cause acute inflammatory response and damage repair in local lung tissue, produce lung tissue fibrosis and scar repair, or form atelectasis to achieve the purpose of lung volume reduction.

[0063] The data processing device 102 is used to execute the data processing method of the embodiment of the present invention. The data processing device 102 can be any device with data processing capabilities, such as a computer, a tablet computer, a server, a terminal, etc.

[0064] The display device 103 is used to display the temperature change predicted by the data processing method, and can be a two-dimensional display device or a three-dimensional display device. The temperature change specifically refers to the temperature change of the tissue in the target object during the steam ablation process, for example, it can include the temperature change of one or more locations in the target object over time during the steam ablation process.

[0065] The displayed content can be the temperature data itself, or the temperature can be displayed using colors, lines, etc. In one example, on the display device 103, an image of the temperature field can be used to reflect the distribution of temperature in space and time; in another example, a virtual model (such as a virtual anatomical model of the target object) can be displayed on the display device 103, and then the temperature and temperature changes at each location can be reflected by filling in the virtual model with color. In another example, the temperature change curve of each location can be used to reflect the temperature change at that location. In another example, two-dimensional or three-dimensional temperature chart data can be used to reflect the temperature change at each location over time.

[0066] Please refer to Figure 2 , an embodiment of the present invention provides a data processing method for steam ablation, comprising:

[0067] S201: constructing a temperature change model corresponding to the target object based on position information within the target object, a specified amount of steam heat to be released over time by a steam ablation device during ablation, and a simulated blood flow condition of the target object;

[0068] The target object herein can be understood as any object to be steam ablated, for example, it can be a physiological part of the human body to be steam ablated, such as the lungs including the trachea, or other physiological parts such as the intestines and urinary tract;

[0069] The designated steam heat amount can be understood as the steam heat amount that the steam ablation device needs to release when performing steam ablation on the target object, which can be manually pre-designated or automatically or manually designated based on historical records or experience of steam ablation.

[0070] The simulated blood flow condition can be understood as any information describing blood flow-related information (e.g., at least one of flow velocity, pressure, and density). In one example, the blood flow-related information can be calculated based on a virtual anatomical model of the target object (which can reflect vascular-related information such as blood vessel size and position), or can be inferred (e.g., based on medical image data of the target object).

[0071] The temperature change model is used to simulate the change in temperature of tissue within the target object over time during the steam ablation process at any location within the target object. Furthermore, any mathematical model or set of mathematical models that can implement this simulation process can be used as an optional solution.

[0072] S202: Predicting temperature changes of tissues in the target object during the steam ablation process based on the acquired target object position to be ablated and the temperature change model.

[0073] The location to be ablated can be any one or more locations within the target object, and this specification does not limit this. For example, assuming that according to the surgical plan, a steam ablation procedure needs to be performed at location 1 within the target object using a steam ablation device, then the temperature change of the tissue within the target object during the steam ablation process can be predicted by combining location 1 and the temperature change model. Then, the relevant operator can adjust the surgical plan or execute the surgical plan based on the obtained temperature change.

[0074] In the above scheme, a temperature change model is introduced for the target object. Furthermore, before performing actual steam ablation at a specific location within the target object, this temperature change model can be used to predict the temperature changes of the target object's tissue over time. Furthermore, the changes predicted by the temperature change model can be used to pre-determine the actual temperature of the target object's tissue during steam ablation, providing a sufficient and effective basis for subsequent steam ablation execution.

[0075] At the same time, since the temperature change model is constructed based on the specified steam heat and simulated blood flow conditions, the prediction results of the temperature change model can accurately match the specified steam heat actually required for steam ablation and the simulated blood flow conditions of the target object, ensuring the accuracy and effectiveness of the prediction results. Therefore, the temperature changes of the tissues in the target object during the steam ablation process predicted by the temperature change model can be used to guide the steam ablation operation, provide accurate and effective reference for the steam ablation operation, and significantly improve the safety and reliability of the steam ablation operation.

[0076] In one implementation, please refer to Figure 3 Based on the position information of each target object, the specified steam heat required to be released by the steam ablation device over time during the ablation process, and the simulated blood flow of the target object, a temperature change model corresponding to the target object is constructed, including:

[0077] S301: Acquire a virtual anatomical model of the target object, and determine various position information within the target object according to the virtual anatomical model;

[0078] S302: Constructing a temperature change model corresponding to the target object based on the determined position information, the designated steam heat, and the simulated blood flow condition.

[0079] The virtual anatomical model can be understood as any virtual model that can represent the anatomical structure of the target object.

[0080] In a specific example, the virtual anatomical model may include virtual biological tissues such as virtual lesions (used to simulate lesions), virtual lungs (used to simulate lungs), and virtual blood vessels (used to simulate blood vessels, for example, the position, size, and at least one other vascular characteristics of the blood vessels can be simulated). In addition, the blood flow in the virtual blood vessels of the virtual anatomical model can be configured with corresponding blood flow-related parameters.

[0081] In one example, if the target of steam ablation is a patient's lungs, the process of acquiring a virtual anatomical model may include, for example, acquiring medical image data (e.g., CT data) of the patient whose target is the target; and then reconstructing a three-dimensional virtual anatomical model of the patient's lungs based on the medical images. In another example, the virtual anatomical model may be pre-established, and in step S301, only the virtual anatomical model needs to be retrieved.

[0082] After obtaining the virtual anatomical model, various position information can be automatically or manually determined for the virtual anatomical model. When automatically determining the various position information, for example, a position information can be determined at intervals within the virtual lung of the virtual anatomical model, so that the various position information can be evenly distributed throughout the virtual lung.

[0083] In some examples, after establishing the virtual anatomical model, the virtual anatomical model can be imported into the finite element simulation (Finite Element Analysis) software, and then the simulated ablation of the steam ablation process can be realized in the finite element simulation software. Before importing the finite element simulation software, the virtual anatomical model can be optimized based on the finite element simulation pre-processing software; for example, image segmentation can be performed based on the patient's medical image data, and a virtual anatomical model containing cancer foci can be obtained after reconstruction. The virtual anatomical model is pre-processed by simulation pre-processing software (such as geomagic / hypermash and other software) to obtain the NURBS surface of the virtual anatomical model and perform tetrahedral meshing to make the virtual anatomical model more suitable for importing the finite element simulation software. Then, the virtual anatomical model can be imported into the finite element simulation software to realize the simulated ablation of the steam ablation process, thereby using the changes in the virtual anatomical model to simulate the changes of the target object during the steam ablation process (such as displacement changes and stress changes on the surface).

[0084] In some examples, the virtual anatomical model may be pre-processed in other ways. In other examples, the three-dimensional virtual anatomical model of the lung may be directly imported into the finite element simulation software without pre-processing the virtual anatomical model.

[0085] In the above solution, since the position information is determined based on the virtual anatomical model of the target object, it can be ensured that the determined position information can accurately adapt to the actual position within the target object, thereby ensuring the accuracy of the temperature change model.

[0086] In one implementation, please refer to Figure 4 , based on the determined position information, the specified steam heat, and the simulated blood flow condition, constructing a temperature change model corresponding to the target object, including:

[0087] S401: Determine a heat diffusion model based on the simulated blood flow condition and any position information within the target object;

[0088] S402: Determine a heat transfer model based on the specified steam heat and the any position information;

[0089] S403: Calculating the temperature change model by processing the heat diffusion model and the heat transfer model.

[0090] The heat diffusion model in step S401 simulates heat changes at various locations within the target object caused by the simulated blood flow during the steam ablation operation at any location within the target object.

[0091] In a further example, the obtained simulated blood flow conditions and blood rheology can be used to simulate the heat diffusion caused by blood flow in the tissue to form a heat diffusion model. For example, based on the simulated blood flow conditions, a heat diffusion model caused by blood flow can be established for any of the position information:

[0092] The simulated blood flow can be simulated by solving the following formula:

[0093]

[0094] in:

[0095] t represents time;

[0096] v represents the blood flow rate in the target object;

[0097] ρ represents the fluid density of the blood in the target object;

[0098] p represents the pressure of the blood in the target object;

[0099] ε represents the porosity;

[0100] μ represents the dynamic viscosity of the blood in the target subject;

[0101] F represents the porous force in the blood within the target object;

[0102] Then, the heat that may be carried away by the blood flow can be simulated by solving paired biological heat equations (such as the Pennes model and the Wulff-Klinger (WK) model) to obtain a heat diffusion model.

[0103] In addition to solving the thermal diffusion model through mathematical models and formula equations, a pre-trained neural network using machine learning can also be used to output the thermal diffusion model.

[0104] The heat transfer model simulates the heat transfer process of the specified steam heat at various locations on the target object during the steam ablation operation performed at any location within the target object. Specifically, mathematical models and formulas based on the principles of heat conduction (which can be represented by the heat conduction equation) can be used as an alternative to the heat transfer model. In addition to solving the heat transfer model using mathematical models and formulas, a pre-trained neural network using machine learning can also be used to output the heat transfer model.

[0105] In the specific example of step S403, based on the thermal diffusion model and the heat transfer model, the ablation heat obtained by the tissue in the target object during the steam ablation operation performed in the target object at any position information can be simulated, and the ablation heat can be applied to the bioheat equation to calculate the temperature change model using the bioheat equation.

[0106] In one example, the thermal equation can be the Pennis bioheat equation PBE:

[0107]

[0108] in:

[0109] ρ represents the density of tissue within the target object (e.g., including the lungs);

[0110] c represents the specific heat capacity of tissue in the target object (e.g., including the lungs);

[0111] T represents the temperature of any position information; it can be understood as the temperature of any position information at time t;

[0112] represents the temperature-dependent thermal conductivity;

[0113] ρ b Indicates the blood density in the target object;

[0114] c b represents the specific heat capacity of the blood in the target subject;

[0115] T b The reference temperature of the blood in the target subject; usually set at 37°C.

[0116] w b is the blood perfusion rate within the target object, taking into account the heat exchange between blood and lymphatic vessels;

[0117] q m and q r is metabolic heat, which is associated with the ablation heat.

[0118] In other examples, the thermal bioequation can also be expressed as the hyperbolic bioheat equation HBE:

[0119]

[0120] in:

[0121] T represents the temperature at the (x, y, z) position at time t, which can be understood as the temperature of any position information;

[0122] ρ represents the density of tissue within the target object (e.g., including the lungs);

[0123] c represents the heat capacity of tissue within the target object (e.g., including the lungs);

[0124] k△T(x,y,z,t) is the temperature-dependent thermal conductivity;

[0125] τ represents the duration of steam ablation;

[0126] q r represents metabolic heat, which is associated with the ablation heat.

[0127] In the above scheme, by determining the thermal diffusion model and the heat transfer model, the heat carried away by blood flow and the process of steam ablation heat being transferred to various locations can be accurately and effectively reflected, thereby ensuring the accuracy of the final calculated temperature change model.

[0128] In one implementation, please refer to Figure 5 , the method for obtaining the specified steam heat includes:

[0129] S501: Determining the concentration of steam released by the ablation device when tissue in the target object is steam ablated;

[0130] S502: Determine an evaporation flux based on the steam concentration;

[0131] S503: Calculate the specified steam heat based on the evaporation flux.

[0132] The steam concentration can be understood as: the water vapor content in the gas released by the steam ablation device;

[0133] In one example, the vapor concentration C can be calculated using the convection-diffusion equation A ;

[0134] The convection-diffusion equation can be expressed as follows:

[0135] in:

[0136]

[0137] in:

[0138] D AB represents the molecular diffusion coefficient of vapor (i.e., component A) in the fluid of the target object (e.g., the bronchial tube), which can be 2.6*10 -5 m 2 |s;

[0139] r A Indicates the amount of steam (i.e. component A) generated per unit volume of space per unit time;

[0140] C A represents the mass concentration of steam (i.e. component A), i.e. the steam concentration;

[0141] τ represents time;

[0142] u x 、u y and u z They represent the three components of the initial steam flow rate u.

[0143] The evaporation flux is used to characterize the mass of liquid water accumulated on the inner wall of the tissue of the target object per unit area per unit time during the steam ablation process.

[0144] In one example, the evaporation flux g of liquid water (water vapor) accumulated on the inner wall of the target tissue due to condensation is calculated by solving the following equation: evap :

[0145]

[0146] Wherein, C1 is the steam concentration, that is, C A , evaporation flux g evap It is deduced from the saturation condition of the target object's tissue inner wall surface, that is:

[0147] 1. Under supersaturated conditions, i.e., cv (flow rate of water vapor) > csat (flow rate of liquid water), condensation occurs on the surface, and the evaporation flux is negative (outflow flux at the boundary of the computational domain), equal to MvK(csat - cv). At this time, the liquid concentration on the surface increases.

[0148] 2. Under subsaturated conditions, i.e., cv < csat, when there is liquid on the surface, the evaporation flux is positive (inflow flux at the boundary of the computational domain), equal to MvK(csat - cv). The liquid concentration on the surface decreases.

[0149] 3. Under subsaturated conditions, i.e., cv < csat, when there is no liquid on the surface, the evaporation flux is zero.

[0150] The evaporation rate K can usually be set to 1 m / s. A higher value of the evaporation rate K has no significant impact on the numerical results but increases the numerical stiffness of the model.

[0151] Where Mv represents the molecular mass of water vapor.

[0152] Then, the first steam heat can be calculated based on the evaporation flux. Further, this first steam heat can be used as the specified steam heat.

[0153] In another implementation different from the above solution, the rate of temperature change of the tissue within the target object can also be determined by solving the following energy conservation equation

[0154]

[0155] Where:

[0156] ρ1 represents the density of the tissue within the target object.

[0157] c1 represents the specific heat capacity of the tissue within the target object.

[0158] represents the rate of temperature change of the tissue within the target object.

[0159] Q represents the external heat, i.e., the initial heat of the water vapor.

[0160] I q represents the internal heat, i.e., the initial heat within the bronchoscope of the steam ablation device.

[0161] Then, based on the obtained rate of temperature change It can be deduced that Where T represents the temperature of the tissue within the target object, and thus the specified steam heat Q released by steam condensation is solved through the following formula 蒸汽 :

[0162]

[0163] in:

[0164] T represents the temperature of the tissue within the target object;

[0165] t represents time;

[0166] ρ2 represents the fluid density of steam;

[0167] C p represents the specific heat of steam;

[0168] u represents the dynamic viscosity of blood;

[0169] Q 蒸汽 Indicates the second steam heat;

[0170] k is a preset constant.

[0171] Furthermore, the second steam heat can be used as the designated steam heat.

[0172] It can be seen that in the above examples, two methods of calculating the specified steam heat are provided (i.e., the method of calculating the first steam heat and the method of calculating the second steam heat). In some implementation methods, the average or weighted sum of the first steam heat and the second steam heat can also be taken as the specified steam heat.

[0173] Through the above process, the specified steam heat can be accurately calculated, thereby ensuring the accuracy of the temperature change model calculated accordingly.

[0174] In one implementation, please refer to Figure 6 , the steam ablation data processing method further includes:

[0175] S601: Acquire any actual steam ablation position in the actual ablation set;

[0176] S602: Obtaining a predicted steam ablation result according to any actual steam ablation position;

[0177] S603: Adjusting the personalized physiological parameters of the temperature change model based on the difference information between the actual steam ablation result corresponding to any actual steam ablation position and the predicted steam ablation result.

[0178] The actual ablation set includes a mapping relationship between each actual steam ablation position and the corresponding actual steam ablation result; wherein the actual steam ablation position refers to a position in the target object where the corresponding steam ablation operation has actually been performed.

[0179] The actual ablation result represents: the temperature changes at various positions of the target object actually obtained during the steam ablation operation corresponding to the actual steam ablation position within the target object; for example, it may include a corresponding thermodynamic map, a table formed by temperature data, etc. The actual ablation result may be detected by a temperature detection component provided in the steam ablation device, or may be detected or calculated by other methods.

[0180] The predicted steam ablation result is predicted by the temperature change model; further, in an example, the implementation process of step S602 can be similar to Figure 2 In another example, the process of step S202 shown in FIG. Figure 2 The process of step S202 shown predicts the temperature change as the predicted steam ablation result, and then the predicted steam ablation result is retrieved in step S602.

[0181] The personalized physiological parameters of the temperature change model include at least one of the following:

[0182] thermal conductivity of tissue within the target object;

[0183] tissue density of tissue within the target object;

[0184] tissue heat capacity of tissue within the target object;

[0185] The blood density in the target object

[0186] the specific heat capacity of the blood in the target subject;

[0187] The blood perfusion rate in the target object.

[0188] The processing of steps S601 to S603 may occur after any actual ablation, or before or after any prediction of temperature changes in tissues within the target object during steam ablation.

[0189] In the above scheme, the above personalized physiological parameters can reflect the characteristics of the physiological structure of the target object. By adjusting the above personalized physiological parameters, the temperature change model can be adjusted so that its prediction results can be more accurately adapted to the target object, thereby accurately reflecting the actual changes that occur when the target object is ablated.

[0190] In one implementation, please refer to Figure 7 , the steam ablation data processing method further includes:

[0191] S701: Acquire an ablation effect simulation model;

[0192] S702: Predicting a current ablation effect of tissue in the target object based on the ablation effect simulation model and the steam ablation duration;

[0193] The ablation effect simulation model is used to simulate the damage to the tissue in the target object during the steam ablation process. It can be any information that can describe the damage. Correspondingly, the current ablation effect represents the damage to the tissue in the target object during the steam ablation process.

[0194] The damage conditions may include, for example, at least one of the following during the ablation process: the number of dead cells, the proportion of dead cells, the number of active cells, the proportion of active cells, the number of cells in an intermediate state (cells that are not completely inactivated), the proportion of cells in an intermediate state, etc.

[0195] In one solution, the processing logic of the ablation effect simulation model can be understood by referring to the following formula:

[0196]

[0197] in:

[0198] A stands for Active, which means active cells;

[0199] D stands for Death, which means dead cells;

[0200] V represents the intermediate state, that is, cells in the intermediate state (cells that are not completely inactivated)

[0201] Furthermore, during the steam ablation process, active cells are damaged at a cell damage rate (kf), while cells in an intermediate state may also be repaired at a cell repair rate (kb). Over time, as cell damage continues, active cells may transition to an intermediate state, and further damage may cause them to transform from an intermediate state to a dead cell.

[0202] By pre-calibrating kf and kb above, the relationship between the damage situation (e.g., the percentage and number of dead cells, the percentage and number of cells in an intermediate state, and the percentage and number of active cells) and the duration of steam ablation can be obtained. This relationship can be understood as an ablation effect simulation model. In other examples, the relationship between the damage situation (e.g., the percentage and number of dead cells, the percentage and number of cells in an intermediate state, and the percentage and number of active cells) and the duration of steam ablation can also be directly defined manually or automatically.

[0203] As can be seen, the ablation effect simulation model can record the relationship between the damage situation and the steam ablation duration. For example, a steam ablation duration S1 can correspond to 01% active cells, P1% intermediate cells, and Q1% dead cells, while a steam ablation duration S2 can correspond to 02% active cells, P2% intermediate cells, and Q2% dead cells. O1, O2, P1, P2, Q1, and Q2 are arbitrary values ​​in the range of [0, 100]. Furthermore, assuming that O1 is 99, P1 is 1, and Q1 is 0 in the initial state of the ablation effect simulation model, the current ablation effect of the target tissue can be simulated based on this initial state ablation simulation model.

[0204] The predicted current ablation effect can be displayed externally through a display device. For example, the number and proportion of active cells, dead cells, and cells in an intermediate state of the damage situation can be displayed in a graphical form. For another example, different display units can represent active cells, dead cells, and cells in an intermediate state, and then at least one of the color, number, size, etc. of each display unit can be used to characterize the damage situation (such as the proportion and number of dead cells, the proportion and number of cells in an intermediate state, and the proportion and number of active cells).

[0205] In the above scheme, by introducing the ablation effect simulation model and predicting the current ablation effect, a reliable and effective basis can be provided for the execution of steam ablation surgery. On the one hand, during the execution of the steam ablation surgery, the relevant operators can determine the progress or stage of the current steam ablation surgery based on the ablation effect simulation model, which is conducive to guiding the relevant operators to accurately adjust or continue to perform the steam ablation surgery; on the other hand, the accuracy of the aforementioned temperature change model can be further verified by the ablation simulation model, that is, the ablation simulation model and the temperature change model can constrain each other, so even if there is a deviation in any of the models in the ablation simulation model and the temperature change model, the relevant operators can discover it in time, avoid misoperation, and significantly improve the reliability and safety of the steam ablation surgery.

[0206] Please refer to Figure 8 The embodiment of the present invention further provides a data processing device 800 for steam ablation, comprising:

[0207] A model determination module 801 is configured to construct a temperature change model corresponding to the target object based on information about various locations within the target object, a specified amount of steam heat that needs to be released over time by the steam ablation device during ablation, and simulated blood flow conditions of the target object. The temperature change model is configured to simulate changes in temperature of tissue within the target object over time during steam ablation of any location within the target object.

[0208] The prediction module 802 is configured to predict temperature changes of tissues in the target object during the steam ablation process based on the acquired target object location to be ablated and the temperature change model.

[0209] Optionally, the model determination module 801 is specifically configured to:

[0210] Acquire a virtual anatomical model of the target object, and determine various position information within the target object according to the virtual anatomical model;

[0211] Based on the determined position information, the designated steam heat, and the simulated blood flow condition, a temperature change model corresponding to the target object is constructed.

[0212] Optionally, the model determination module 801 is specifically configured to:

[0213] determining a heat diffusion model based on the simulated blood flow condition and any position information within the target object, the heat diffusion model simulating heat changes at various positions within the target object caused by the simulated blood flow condition during a steam ablation operation performed at a position within the target object that matches the any position information;

[0214] determining a heat transfer model based on the designated steam heat and the any position information, the heat transfer model simulating a heat transfer process of the designated steam heat at various positions of the target object during a steam ablation operation performed at a location within the target object that matches the any position information;

[0215] The temperature change model is calculated by processing the heat diffusion model and the heat transfer model.

[0216] Optionally, the model determination module 801 is specifically configured to:

[0217] Simulating, based on the heat diffusion model and the heat transfer model, the ablation heat acquired by the tissue in the target object during the ablation process at the simulated ablation position;

[0218] The ablation heat is applied to a biological heat equation to calculate the temperature change model using the biological heat equation.

[0219] Please refer to Figure 9 , Figure 9 The data processing device 900 for steam ablation can be referred to Figure 8 The steam ablation data processing device 800 is understood, and the same or similar contents are not repeated here. The steam ablation data processing device 900 includes:

[0220] The actual position acquisition module 901 is configured to acquire any actual steam ablation position in an actual ablation set, wherein the actual ablation set includes a mapping relationship between each actual steam ablation position and a corresponding actual steam ablation result; the actual ablation result represents: a temperature change at each position of the target object during a steam ablation operation performed at the corresponding actual steam ablation position within the target object;

[0221] an ablation result prediction module 902, configured to obtain a predicted steam ablation result according to any actual steam ablation position; the predicted steam ablation result is predicted by the temperature change model;

[0222] The adjustment module 903 is configured to adjust the personalized physiological parameters of the temperature change model based on the difference information between the actual steam ablation result corresponding to any actual steam ablation position and the predicted steam ablation result.

[0223] Optionally, the method for obtaining the specified steam heat includes:

[0224] determining a concentration of steam released by the ablation device when tissue within the target object is ablated by the steam;

[0225] Determining an evaporation flux based on the vapor concentration, wherein the evaporation flux is used to characterize the mass of liquid water accumulated on the inner wall of the tissue of the target object per unit time and per unit area during the vapor ablation process;

[0226] The specified steam heat is calculated based on the evaporation flux.

[0227] Optional, please refer to Figure 10 , Figure 10 The data processing device 1000 for steam ablation can refer to Figure 8 The data processing device 800 for steam ablation in the embodiment of the present invention is understood, and the same or similar contents will not be repeated here.

[0228] The steam ablation data processing device 1000 includes:

[0229] The effect simulation model acquisition module 1001 is used to acquire an ablation effect simulation model; the ablation effect simulation model is used to simulate the damage of the tissue in the target object during the steam ablation process;

[0230] The ablation effect prediction module 1002 is configured to predict the current ablation effect of the tissue in the target object based on the ablation effect simulation model and the steam ablation duration, wherein the current ablation effect represents the damage to the tissue in the target object during the steam ablation process.

[0231] Please refer to Figure 11, provides an electronic device 1100, including:

[0232] Processor 1101; and

[0233] Memory 1102, used to store executable instructions of the processor;

[0234] The processor 1101 is configured to execute the above-mentioned method by executing the executable instructions.

[0235] The processor 1101 can communicate with the memory 1102 via a bus 1103 .

[0236] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned method when executed by a processor.

[0237] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0238] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data processing device for steam ablation, characterized in that: include: a model determination module, which constructs a temperature change model corresponding to the target object based on information of various positions within the target object, a specified amount of steam heat that the steam ablation device needs to release over time during the ablation process, and a simulated blood flow condition of the target object, wherein the temperature change model is used to simulate: changes in temperature of tissue within the target object over time during the process of steam ablation at any position within the target object; a prediction module, which predicts temperature changes of tissues in the target object during the steam ablation process based on the acquired target object location to be ablated and the temperature change model; The method for obtaining the specified steam heat includes: determining a concentration of steam released by the ablation device when tissue within the target object is ablated by the steam; Determining an evaporation flux based on the vapor concentration, wherein the evaporation flux is used to characterize the mass of liquid water accumulated on the inner wall of the tissue of the target object per unit time and per unit area during the vapor ablation process; Calculating a first steam heat based on the evaporation flux; Based on the obtained temperature change rate, ▽T is calculated, where T represents the temperature of the tissue in the target object, and the second steam heat released by steam condensation is obtained by solving the formula; Taking the average value or weighted sum of the first steam heat and the second steam heat as the designated steam heat; in: Based on the vapor concentration, determining the evaporation flux includes: calculating the evaporation flux g by solving the following equation evap : Wherein, C1 is the steam concentration, evaporation flux g evap It is derived from the saturation condition of the target object's tissue inner wall surface; Where Mv represents the molecular mass of water vapor; Based on the obtained temperature change rate, ▽T is calculated, and the second steam heat released by steam condensation is obtained by solving the formula, including: Determine the rate of temperature change of the tissue within the target object by solving the following equation: in: ρ1 represents the density of tissue within the target object, c1 represents the specific heat capacity of the tissue within the target object; Indicates the rate of temperature change of tissue within the target object; Q represents the external heat, that is, the initial heat of water vapor; Iq represents the internal heat, which is the initial heat inside the bronchoscope of the steam ablation device; Then, ▽T is calculated based on the obtained temperature change rate, and the specified steam heat Q released by steam condensation is obtained by solving the following formula 蒸汽 : in: T represents the temperature of the tissue within the target object; t represents time; ρ2 represents the fluid density of steam; Cp represents the specific heat of steam; u represents the dynamic viscosity of blood; Q 蒸汽 Indicates the second steam heat; k is a preset constant.

2. The data processing device for steam ablation according to claim 1, characterized in that: Based on the position information of each target object, the specified steam heat required to be released by the steam ablation device over time during the ablation process, and the simulated blood flow of the target object, a temperature change model corresponding to the target object is constructed, including: Acquire a virtual anatomical model of the target object, and determine various position information within the target object according to the virtual anatomical model; Based on the determined position information, the designated steam heat, and the simulated blood flow condition, a temperature change model corresponding to the target object is constructed.

3. The data processing device for steam ablation according to claim 2, characterized in that: Based on the determined position information, the designated steam heat, and the simulated blood flow condition, a temperature change model corresponding to the target object is constructed, including: determining a heat diffusion model based on the simulated blood flow condition and any position information within the target object, the heat diffusion model simulating heat changes at various positions within the target object caused by the simulated blood flow condition during a steam ablation operation performed at a position within the target object that matches the any position information; determining a heat transfer model based on the designated steam heat and the any position information, the heat transfer model simulating a heat transfer process of the designated steam heat at various positions of the target object during a steam ablation operation performed at a location within the target object that matches the any position information; The temperature change model is calculated by processing the heat diffusion model and the heat transfer model.

4. The data processing device for steam ablation according to claim 3, characterized in that: The temperature change model is calculated by processing the heat diffusion model and the heat transfer model, including: Based on the heat diffusion model and the heat transfer model, simulating the ablation heat obtained by the tissue in the target object during the steam ablation operation performed at any position information in the target object; The ablation heat is applied to a biological heat equation to calculate the temperature change model using the biological heat equation.

5. The data processing device for steam ablation according to any one of claims 1 to 4, characterized in that: Also includes: an actual position acquisition module, configured to acquire any actual steam ablation position in an actual ablation set, wherein the actual ablation set includes a mapping relationship between each actual steam ablation position and a corresponding actual steam ablation result; the actual ablation result represents: a temperature change at each position of the target object during a steam ablation operation performed at the corresponding actual steam ablation position within the target object; an ablation result prediction module, configured to obtain a predicted steam ablation result according to any actual steam ablation position; the predicted steam ablation result is predicted by the temperature change model; An adjustment module is configured to adjust the personalized physiological parameters of the temperature change model based on difference information between an actual steam ablation result corresponding to any actual steam ablation position and the predicted steam ablation result.

6. The data processing device for steam ablation according to any one of claims 1 to 4, characterized in that: Also includes: An effect simulation model acquisition module is used to acquire an ablation effect simulation model; the ablation effect simulation model is used to simulate the damage of tissue in the target object during steam ablation; The ablation effect prediction module is used to predict the current ablation effect of the tissue in the target object based on the ablation effect simulation model and the steam ablation duration, wherein the current ablation effect represents the damage of the tissue in the target object during the steam ablation process.

7. A steam ablation system, characterized in that: It comprises a steam ablation device, a data processing device, and a display device, wherein the data processing device is used to perform the functions of the data processing device described in any one of claims 1 to 6, and the display device is used to display the temperature change predicted by the data processing device.

8. An electronic device, characterized in that: Including processor and memory, The memory is used to store code; The processor is configured to execute the code in the memory to implement the functions of the data processing device according to any one of claims 1 to 6.

9. A storage medium storing a computer program, wherein when the program is executed by a processor, the program realizes the function of the data processing device according to any one of claims 1 to 6.

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