CN115024810A - Data processing method, device, system, equipment and medium for steam ablation - Google Patents
Data processing method, device, system, equipment and medium for steam ablation Download PDFInfo
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Abstract
The invention provides a data processing method, a device, a system, equipment and a medium for steam ablation, wherein the data processing method for steam ablation comprises the following steps: based on each position information in the target object, the specified steam heat quantity required to be released by the steam ablation equipment along with time in the ablation process and the simulated blood flow condition of the target object, constructing a temperature change model corresponding to the target object, wherein the temperature change model is used for simulating: a change in temperature of tissue within the target object over time during steam ablation at any location within the target object; and predicting the temperature change condition of the tissue in the target object in the steam ablation process according to the acquired position to be ablated of the target object and the temperature change model.
Description
Technical Field
The invention relates to the field of medical treatment, in particular to a data processing method, a device, a system, equipment and a medium for steam ablation.
Background
Thermal steam ablation is an ablation procedure that delivers steam to tissue within a target object to deliver thermal energy in a targeted manner.
In the prior art, when an ablation operation is performed or before the ablation, reference basis can be provided for steam ablation only by means of previous experience and results of preoperative ablation experiments, and the actual state of tissues in a target object in the steam ablation process cannot be depicted.
Disclosure of Invention
The invention provides a data processing method, a device, a system, equipment and a medium for steam ablation, which aim to solve the problem that the actual state of tissues in a target object in the steam ablation process cannot be depicted.
According to a first aspect of the present invention, there is provided a data processing method of steam ablation, comprising:
based on each position information in the target object, the specified steam heat required to be released by the steam ablation equipment along with time in the ablation process and the simulated blood flow condition of the target object, constructing a temperature change model corresponding to the target object, wherein the temperature change model is used for simulating: a change in temperature of tissue within the target object over time during steam ablation at any location within the target object;
and predicting the temperature change condition of the tissue in the target object in the steam ablation process according to the acquired position to be ablated of the target object and the temperature change model.
Optionally, constructing a temperature change model corresponding to the target object based on each position information in the target object, a specified steam heat amount required to be released by the steam ablation device over time in the ablation process, and a simulated blood flow condition of the target object, includes:
acquiring a virtual anatomic model of the target object, and determining each position information in the target object according to the virtual anatomic model;
and 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.
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, including:
determining a thermal diffusion model based on the simulated blood flow condition and any position information in the target object, wherein the thermal diffusion model simulates: during the steam ablation operation performed at the position matched with any position information in the target object, the heat quantity of each position in the target object is changed due to the simulated blood flow condition;
determining a heat transfer model based on the specified steam heat and the any location information, the heat transfer model simulating: a heat transfer process of the specified steam heat at each position of the target object in the process of performing steam ablation operation matched with any position information in the target object;
and processing the thermal diffusion model and the thermal transmission model to calculate the temperature change model.
Optionally, the calculating the temperature change model by processing the thermal diffusion model and the thermal transfer model includes:
simulating an ablation heat quantity obtained from the tissue in the target object during the steam ablation operation performed at the position matched with any position information in the target object based on the thermal diffusion model and the thermal conduction model;
applying the ablation heat to a bio-heat equation to calculate the temperature change model using the bio-heat equation.
Optionally, the data processing method of steam ablation further includes: acquiring any actual steam ablation position in an actual ablation set, wherein the actual ablation set comprises mapping relations between each actual steam ablation position and corresponding actual steam ablation results; the actual ablation result characterizes: the temperature of each position of the target object changes in the process of executing steam ablation operation corresponding to the actual steam ablation position in the target object;
obtaining a predicted steam ablation result according to any actual steam ablation position; the predicted steam ablation outcome is predicted by the temperature variation model;
and 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.
Optionally, the personalized physiological parameter of the temperature variation model includes at least one of:
a thermal conductivity of tissue within the target subject;
tissue density of tissue within the target subject;
tissue heat capacity of tissue within the target subject;
density of blood in the target object
A specific heat capacity of blood within the target subject;
a rate of blood perfusion in the target subject.
Optionally, the obtaining mode of the specified steam heat includes:
determining a concentration of vapor released by the ablation device when tissue within the target subject is vapor ablated;
based on the steam concentration, determining an evaporation flux, which is used to characterize the mass of liquid water accumulated on a unit area of the inner tissue wall of the target object per unit time during the steam ablation process;
calculating the specified steam heat based on the evaporation flux.
Optionally, the data processing method of steam ablation further includes:
acquiring an ablation effect simulation model; the ablation effect simulation model is used for simulating the damage condition of the tissue in the target object in the steam ablation process;
and predicting the current ablation effect of the tissue in the target object based on the ablation effect simulation model and the steam ablation time length, wherein the current ablation effect represents the damage condition of the tissue in the target object in the steam ablation process.
According to a second aspect of the present invention, there is provided a data processing apparatus for steam ablation, comprising:
the model determining module is used for constructing a temperature change model corresponding to the target object based on each position information in the target object, the specified steam heat required to be released by the steam ablation equipment along with time in the ablation process and the simulated blood flow condition of the target object, and the temperature change model is used for simulating: a change in temperature of tissue within the target object over time during steam ablation at any location within the target object;
and the prediction module is used for predicting the temperature change condition of the tissue in the target object in the steam ablation process according to the acquired position to be ablated of the target object and the temperature change model.
According to a third aspect of the present invention, there is provided a steam ablation system comprising a steam ablation device, a data processing device for executing the data processing method according to the first aspect as far as possible, and a display device for displaying the temperature change predicted by the data processing method.
According to a fourth aspect of the present invention, there is provided an electronic device, comprising a processor and a memory,
the memory is used for storing codes;
the processor is configured to execute the code in the memory to implement the method of the first aspect as well as the alternatives.
According to a fifth aspect of the present invention, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the first aspect and its alternatives.
In the data processing method, the device, the system, the equipment and the medium for steam ablation, a corresponding temperature change model is introduced for a target object; in turn, the temperature change model may be utilized to predict changes over time in the temperature of tissue within the target object. Furthermore, the actual temperature of the tissue in the target object in the steam ablation process can be drawn in advance through the predicted change of the temperature change model, so that a sufficient and effective basis is provided for the execution of the subsequent steam ablation.
Meanwhile, the temperature change model is constructed based on the specified steam heat and the simulated blood flow condition, so that the prediction result of the temperature change model can be accurately matched with the specified steam heat actually required to be released by steam ablation and the simulated blood flow condition of the target object, and the accuracy and the effectiveness of the prediction result are guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic view of a steam ablation system in accordance with an exemplary embodiment of the present invention;
FIG. 2 is a schematic flow diagram of a data processing method for steam ablation in an exemplary embodiment of the invention;
FIG. 3 is a schematic flow chart for constructing a temperature change model in an exemplary embodiment of the invention;
FIG. 4 is a schematic flow chart of a specific process for constructing a temperature variation model according to an exemplary embodiment of the present invention;
FIG. 5 is a schematic flow diagram for obtaining a specified amount of steam heat in an exemplary embodiment of the invention;
FIG. 6 is a schematic flow chart of an exemplary tuning temperature variation model of the present invention;
FIG. 7 is a flow chart illustrating predicting current ablation effect in an exemplary embodiment of the invention;
fig. 8 is a schematic diagram of program modules of a data processing device 800 for steam ablation in an exemplary embodiment of the invention;
fig. 9 is a schematic diagram of program modules of a data processing device 900 for steam ablation in an exemplary embodiment of the invention;
fig. 10 is a schematic diagram of program modules of a data processing device 1000 for steam ablation in an exemplary embodiment of the invention;
fig. 11 is a schematic diagram of the configuration of an electronic device in an exemplary embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical solution of the present invention will be described in detail below with specific examples. These several specific embodiments may be combined with each other below, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Referring to fig. 1, an embodiment of the present invention provides a steam ablation system, which includes a steam ablation device 101, a data processing device 102, and a display device 103.
The steam ablation device 101 may be any device capable of performing steam ablation, and may include, for example, a steam generator, a bronchoscope, and a steam catheter;
the steam catheter is arranged on the bronchoscope, steam generated by the steam generator can be delivered to the steam catheter, furthermore, when the steam ablation device 101 is used, the steam catheter can be sent into a human body through the bronchoscope, then the steam generated by the steam generator can be sent to a target position (such as target lung tissue identified by high-resolution CT) in the human body through the steam catheter, then, under the control of the steam generator, a preset amount of high-temperature steam can be released to generate a thermal reaction, the thermal reaction acts on the target position (such as the target lung tissue) of a patient, steam ablation is realized, and when the steam ablation is applied to lung tissue, the steam ablation can cause local lung tissue to generate acute inflammatory reaction and damage repair, lung tissue fibrosis and scar repair are generated, or lung atelectasis is formed, so that the purpose of lung volume reduction is achieved.
The data processing device 102 is configured to execute the data processing method according to the embodiment of the present invention, and the data processing device 102 may be any device with data processing capability, such as a computer, a tablet computer, a server, a terminal, and the like.
The display device 103 is used for displaying the temperature variation predicted by the data processing method, and may be a two-dimensional display device or a three-dimensional display device. The temperature change condition refers to the temperature change condition of the tissue in the target object in the steam ablation process, and may include the temperature change of one or more positions in the target object in the steam ablation process along with the time.
The displayed content may be the temperature data itself, or the temperature may be displayed by color, line, or the like. In one example, in the display device 103, the distribution of temperature in space and time can be represented by an image of the temperature field; in another example, a virtual model (e.g., a virtual anatomical model of the target object) may be displayed in the display device 103, and then the temperature and the temperature variation of each location are represented in the virtual model by color filling, in yet another example, the temperature variation of each location may be represented by a temperature variation curve of the location, and in yet another example, the temperature variation of each location with time may be represented by two-dimensional or three-dimensional graph data of the temperature.
Referring to fig. 2, an embodiment of the present invention provides a data processing method for steam ablation, including:
s201: constructing a temperature change model corresponding to a target object based on each position information in the target object, appointed steam heat required to be released by steam ablation equipment along with time in an ablation process and a simulated blood flow condition of the target object;
the target object can be understood as any object to be steam ablated, for example, a physiological site in a human body to be steam ablated, which may include, for example, a lung of a trachea, or other physiological sites such as an intestinal tract and a urinary tract;
the specified steam heat quantity can be understood as steam heat quantity required to be released by steam ablation equipment when steam ablation is carried out on a target object, and can be manually specified in advance, or automatically or manually specified on the basis of historical records and experiences of steam ablation;
the simulated blood flow condition can be any information describing blood flow related information (such as at least one of flow velocity, pressure, density, etc.). In one example, the blood flow related information may be calculated based on a virtual anatomical model of the target object (which may represent blood vessel related information such as the size and position of a blood vessel), or may be calculated (for example, calculated based on medical image data of the target object).
The temperature variation model is used for simulating: a change in temperature of tissue within the target object over time during steam ablation at any location within the target object; furthermore, any mathematical model or set of mathematical models that can implement the simulation process can be used as an alternative;
s202: and predicting the temperature change condition of the tissue in the target object in the steam ablation process according to the acquired position to be ablated of the target object and the temperature change model.
The location to be ablated can be any location or locations within the target object, and this specification is not intended to be limiting. For example, assuming that a steam ablation device is used to perform a steam ablation operation on a location point 1 in a target object according to a surgical planning requirement, the location point 1 and a temperature change model may be combined to predict a temperature change condition of a tissue in the target object during the steam ablation, and then a relevant operator may adjust the surgical planning or perform the surgical planning according to the obtained temperature change condition.
In the above scheme, a corresponding temperature change model is introduced for the target object; further, the temperature change model may be utilized to predict changes over time in the temperature of tissue within a target object prior to an actual steam ablation procedure being performed for a location within the target object. Furthermore, the actual temperature of the tissue in the target object in the steam ablation process can be drawn in advance through the predicted change of the temperature change model, so that a sufficient and effective basis is provided for the execution of the subsequent steam ablation.
Meanwhile, the temperature change model is constructed based on the specified steam heat and the simulated blood flow condition, so that the prediction result of the temperature change model can be accurately matched with the specified steam heat which needs to be released actually by steam ablation and the simulated blood flow condition of the target object, the accuracy and the effectiveness of the prediction result are guaranteed, the temperature change condition of tissues in the target object in the steam ablation process can be predicted based on the temperature change model, the steam ablation operation is guided to be carried out, accurate and effective reference can be provided for the steam ablation operation, and the safety and the reliability of the steam ablation operation are remarkably improved.
In one embodiment, referring to fig. 3, constructing a temperature change model corresponding to a target object based on various position information in the target object, a specified steam heat quantity required to be released by a steam ablation device over time during an ablation process, and a simulated blood flow condition of the target object, includes:
s301: acquiring a virtual anatomic model of the target object, and determining each position information in the target object according to the virtual anatomic model;
s302: and 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.
A virtual anatomical model is understood to be any virtual model that is capable of characterizing the anatomy of a target object.
In a specific example, the virtual anatomical model may include virtual biological tissues such as a virtual focal point (for simulating a focal point), a virtual lung (for simulating a lung), a virtual blood vessel (for simulating a blood vessel, for example, at least one blood vessel related parameter such as a position, a size, and other blood vessel characteristics of the blood vessel may be simulated), and furthermore, the blood flow in the virtual blood vessel of the virtual anatomical model may be configured with a corresponding blood flow related parameter.
In one example, if the subject of the steam ablation is a patient's lung: the process of acquiring the virtual anatomical model may, for example, comprise: acquiring medical image data (e.g., CT data) of a patient to which a target object belongs; and then reconstructing a three-dimensional virtual anatomic model of the lung of the patient according to the medical image. In another example, the virtual anatomical model may be pre-established, and only the virtual anatomical model needs to be retrieved in step S301.
After the virtual anatomical model is obtained, various location information may be determined for the virtual anatomical model, either automatically or manually. When the respective position information is automatically determined, for example, one position information may be determined at intervals in the virtual lung of the virtual anatomical model, and the respective position information may be uniformly distributed in the virtual lung.
In some examples, after the virtual anatomic model is created, the virtual anatomic model may be imported into Finite Element simulation (Finite Element Analysis) software, and then simulated ablation of the steam ablation procedure may be performed in the Finite Element simulation software. Before finite element simulation software is introduced, the virtual anatomic model can be optimized based on finite element simulation preprocessing software; for example, image segmentation may be performed based on medical image data of a patient, a virtual anatomic model including a cancer focus point is obtained after reconstruction, preprocessing is performed by using pre-simulation processing software (for example, software such as geoimagic/hypermesh), a NURBS curved surface of the virtual anatomic model is obtained, tetrahedral mesh division is performed, the virtual anatomic model is more suitable for being introduced into finite element simulation software, and then the virtual anatomic model may be introduced into the finite element simulation software to realize simulated ablation in a steam ablation process, so that changes (for example, displacement changes, stress changes and the like occurring on the surface) of a target object in the steam ablation process are simulated by using changes of the virtual anatomic model.
In some examples, the virtual anatomic model may be pre-processed in other manners, and in other examples, the three-dimensional virtual anatomic model of the lung may be directly imported into the finite element simulation software without pre-processing the virtual anatomic model.
In the above scheme, since the position information is determined according to the virtual anatomical model of the target object, it can be ensured that the determined position information can be accurately adapted to the actual position in the target object, thereby ensuring the accuracy of the temperature change model.
In one embodiment, referring to fig. 4, 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:
s401: determining a thermal diffusion model based on the simulated blood flow condition and any position information in the target object;
s402: determining a heat transfer model based on the specified steam heat and the any position information;
s403: and processing the thermal diffusion model and the thermal transmission model to calculate the temperature change model.
The thermal diffusion model in step S401 simulates: during the steam ablation operation performed at the position matched with any position information in the target object, the heat quantity of each position in the target object is changed due to the simulated blood flow condition;
in a further example, the heat diffusion caused by the blood flow in the tissue can be simulated based on the obtained simulated blood flow condition and the hemorheology to form a heat diffusion model; for example, based on the simulated blood flow condition, for any position information, the thermal diffusion caused by blood flow can be correspondingly established as follows:
the simulated blood flow condition can be simulated by solving the following formula:
wherein:
t represents time;
v represents the flow rate of blood in the target subject;
ρ represents a fluid density of blood within the target object;
p represents the pressure of blood within the target subject;
ε represents porosity;
μ represents the dynamic viscosity of blood within the target subject;
f represents the porous force in the blood within the target subject;
then, the heat diffusion model can be obtained by solving paired biological heat equations (such as Pennes model and Wulff-klinger (wk) model), and simulating the partial heat possibly taken away by the bleeding flow.
Instead of solving the thermal diffusion model by mathematical models, formulation equations, a machine-learned, pre-trained neural network may be used to output the thermal diffusion model.
The heat transfer model simulates: and in the process of executing steam ablation operation matched with any position information in the target object, the heat transfer process of the specified steam heat at each position of the target object is carried out. In a specific example, a mathematical model or a formula equation using the principle of heat conduction (which can be characterized as a heat conduction equation) can be used as an alternative to a heat conduction model. Instead of solving the heat transfer model by mathematical model, formula equations, a machine-learned, pre-trained neural network may be used to output the heat transfer model.
In a specific example of step S403, based on the thermal diffusion model and the thermal conduction model, an ablation heat amount obtained from a tissue in the target object during a steam ablation operation performed at a position matching the any position information in the target object may be simulated, and the ablation heat amount may be applied to a bio-thermal equation to calculate the temperature change model using the bio-thermal equation.
In one example, the thermal biological equation may be represented by the pennes biological thermal equation PBE:
wherein:
ρ represents the density of tissue within the target object (e.g., including the lungs);
c represents the specific heat capacity of tissue within the target object (including, for example, the lungs);
t represents a temperature of the arbitrary position information; the temperature of any position information at t time can be understood;
ρ b representing the blood density within the target subject;
c b representing the specific heat capacity of blood in the target subject;
T b is a reference temperature of blood within the target subject; typically set at 37 ℃;
w b is the rate of blood perfusion in the target subject, taking into account the heat exchange between the blood and the lymphatic vessels;
q m and q is r Is metabolic heat, associated with the ablative heat.
In other examples, the thermal biological equation can also adopt hyperbolic biological thermal equation HBE:
wherein:
t represents the temperature of the (x, y, z) position at time T, which can be understood as the temperature of any one of the position information;
ρ represents the density of tissue within the target object (e.g., including the lungs);
c represents the heat capacity of the tissue within the target object (e.g. including the lungs);
k Δ T (x, y, z, T) is the temperature dependent thermal conductivity;
τ represents the steam ablation time period;
q r representing metabolic heat, associated with the ablative heat.
In the scheme, the heat taken away by the blood flow and the process of transferring the steam ablation heat to each position information can be accurately and effectively reflected through the determination of the thermal diffusion model and the thermal conduction model, and further, the accuracy of the finally calculated temperature change model can be guaranteed.
In one embodiment, referring to fig. 5, the obtaining manner of the specified steam heat includes:
s501: determining a concentration of vapor released by the ablation device when tissue within the target subject is vapor ablated;
s502: determining an evaporation flux based on the vapor concentration;
s503: calculating the specified steam heat based on the evaporation flux.
The steam concentration therein can be understood as: the content of water vapor in the gas released by the steam ablation device;
in one example, the vapor concentration C can be calculated by the convection-diffusion equation A ；
The convection-diffusion equation may be shown, for example, as follows:
wherein:
wherein:
D AB represents the molecular diffusion coefficient of the vapor (i.e., component a) in the fluid of the target object (e.g., in its bronchus), which may be 2.6 x 10 -5 m 2 |s；
r A Represents the amount of steam (i.e., component a) generated per unit volume of space per unit time;
C A represents the mass concentration of steam (i.e., component a), i.e., the steam concentration;
τ represents time;
u x 、u y and u z Representing three components of the initial flow rate u of steam, respectively.
The evaporation flux is used to characterize the mass of liquid water accumulated per unit time on the inner wall of the tissue of the target object per unit area during the steam ablation process.
In one example, the evaporation flux g of liquid water (water vapor) accumulated on the inner wall of the tissue of the target object due to condensation is calculated by solving the following equation evap :
Wherein, C 1 Is the steam concentration, i.e. C A Evaporation flux g evap The saturation condition of the inner wall surface of the tissue of the target object is derived, namely:
1. under supersaturated conditions, i.e. cv (flow of water vapour) > csat (flow of liquid water), condensation is present at the surface and the evaporation flux is negative (outflow flux at the boundary of the calculation domain), equal to MvK (csat-cv), at which time the liquid concentration at the surface increases.
2. Under sub-saturation conditions, i.e., cv < csat, when there is liquid on the surface, the evaporation flux is positive (inflow flux at the boundary of the calculation domain), equal to MvK (csat-cv). The liquid concentration at the surface decreases.
3. Under sub-saturation conditions, i.e., cv < csat, when the surface is free of liquid, the evaporation flux is zero.
The evaporation rate K can be set to 1 m/s. The evaporation rate K is higher, so that the numerical result is not obviously influenced, but the numerical rigidity of the model is increased;
where Mv represents the molecular mass of water vapor.
Then, a first steam heat may be calculated based on the evaporation flux, and further, the first steam heat may be regarded as the specified steam heat.
In another embodiment, which is distinguished from the above, the rate of change of temperature of tissue within the target object may also be determined by solving the following energy conservation equation
Wherein:
ρ 1 representing the density of the tissue within the target object,
c 1 representing the specific heat capacity of tissue within the target object;
q represents the external heat, i.e., the initial heat of the water vapor;
I q represents the internal heat, i.e. the initial heat within the bronchoscope of the steam ablation device;
then, based on the obtained temperature change rate
Can deduce
Wherein T represents the temperature of the tissue within the target object, whereby a given heat of steam Q released by the condensation of steam is solved by the following equation Steam generating device ：
Wherein:
t represents the temperature of the tissue within the target object;
t represents time;
ρ 2 represents the fluid density of the vapor;
C p represents the specific heat of steam;
u represents the dynamic viscosity of blood;
Q steam generation Representing a second steam heat;
k is a preset constant.
Further, the second steam heat may be the specified steam heat.
It can be seen that, in the above example, two calculation manners for specifying the steam heat amount are provided (i.e., a manner for calculating the first steam heat amount and a manner for calculating the second steam heat amount), and in some embodiments, an average value or a weighted sum of the first steam heat amount and the second steam heat amount may also be taken as the specified steam heat amount.
Through the process, the accurate calculation of the specified steam heat can be realized, so that the accuracy of the temperature change model calculated according to the calculation is guaranteed.
In one embodiment, please refer to fig. 6, the data processing method for steam ablation further includes:
s601: acquiring any actual steam ablation position in the actual ablation set;
s602: obtaining a predicted steam ablation result according to any actual steam ablation position;
s603: and 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.
The actual ablation set comprises mapping relations between each actual steam ablation position and the corresponding actual steam ablation result; wherein the actual steam ablation location refers to a location within the target object at which the corresponding steam ablation operation was actually performed.
The actual ablation result characterizes: actually acquiring temperature changes of all positions of the target object in the process of executing steam ablation operation corresponding to the actual steam ablation position in the target object; for example, a corresponding thermodynamic diagram, a table of temperature data, etc. may be included, and the actual ablation result may be detected by a temperature detection component provided in the steam ablation device, or may be detected or calculated in other manners.
The predicted steam ablation outcome is predicted by the temperature variation model; further, in an example, the implementation process of step S602 may be similar to the process of step S202 shown in fig. 2, and in another example, the temperature variation may be predicted as the predicted steam ablation result by the process of step S202 shown in fig. 2, and then the predicted steam ablation result may be retrieved in step S602.
Wherein the personalized physiological parameters of the temperature variation model comprise at least one of:
a thermal conductivity of tissue within the target subject;
tissue density of tissue within the target subject;
tissue heat capacity of tissue within the target subject;
density of blood in the target object
A specific heat capacity of blood within the target subject;
a rate of blood perfusion in the target subject.
The processing of steps S601 to S603 may occur after any actual ablation, or may occur before or after any temperature change of the tissue in the target object during steam ablation is predicted.
In the scheme, the personalized physiological parameters can reflect the characteristics of the physiological structure of the target object, and the adjustment of the personalized physiological parameters can realize the adjustment of the temperature change model, so that the prediction result can be more accurately adapted to the target object, and the actual change of the target object when the target object is ablated can be accurately reflected.
In one embodiment, referring to fig. 7, the data processing method for steam ablation further includes:
s701: acquiring an ablation effect simulation model;
s702: predicting a current ablation effect of tissue in the target object based on the ablation effect simulation model and the steam ablation duration;
the ablation effect simulation model is used for simulating the damage condition of the tissue in the target object in the steam ablation process, and may be any information capable of describing the damage condition, and correspondingly, the current ablation effect represents the damage condition of the tissue in the target object in the steam ablation process.
The damage condition may include, for example, at least one of the following during ablation: the number of dead cells, the proportion of dead cells, the number of active cells, the proportion of active cells, the number of intermediate cells (cells that have not been completely inactivated), the proportion of intermediate cells, and the like.
In one approach, the processing logic of the ablation effect simulation model may be understood with reference to the following equation:
wherein:
a represents Active, namely, represents Active cells;
d represents Death, namely representing dead cells;
v represents an intermediate state, i.e., a cell in an intermediate state (a cell not completely inactivated)
Furthermore, during steam ablation, live cells are damaged at the cell damage rate kf, and cells in the intermediate state may also be repaired at the cell repair rate kb. Over time, cell damage continues to occur, active cells change to intermediate cells, and further damage can change from intermediate cells to dead cells.
By calibrating kf and kb in advance, the change relation of the damage condition (such as the proportion and the number of dead cells, the proportion and the number of intermediate cells, the proportion and the number of active cells) along with the steam ablation time length can be obtained, and the change relation can be understood as an ablation effect simulation model. In other examples, lesion status (e.g., dead cell ratio, number, intermediate cell ratio, number, active cell ratio, number) can be directly defined manually or automatically as a function of the length of steam ablation.
It can be seen that, in the ablation effect simulation model, the change of the injury condition with the steam ablation time length can be recorded, for example, a certain steam ablation time length S1 can correspond to O1% of active cells, P1% of intermediate state cells and Q1% of dead cells, and a steam ablation time length S2 can correspond to O2% of active cells, P2% of intermediate state cells and Q2% of dead cells; wherein O1, O2, P1, P2, Q1 and Q2 are any values in the range of [0,100 ]. Further, assuming that O1 is 99, P1 is 1, and Q1 is 0 in the ablation effect simulation model in the initial state, the current ablation effect of the tissue in the target object can be simulated based on the ablation simulation model in the initial state.
The predicted current ablation effect can be displayed externally through a display device, for example, the number, ratio, etc. of the active cells, dead cells, cells in an intermediate state of the lesion can be displayed in a graph mode, and for example, different display units can represent the active cells, dead cells, cells in an intermediate state, and then the lesion can be characterized by using at least one of the color, number, size, etc. of each display unit (for example, the ratio, number, ratio, number of active cells of dead cells).
In the scheme, a reliable and effective basis can be provided for the execution of the steam ablation operation by introducing the ablation effect simulation model and predicting the current ablation effect. On one hand, in the execution process of the steam ablation operation, related operators can determine the current progress or stage of the steam ablation operation based on the ablation effect simulation model, so that the related operators can be guided to accurately adjust or continuously execute the steam ablation operation; on the other hand, can further verify the accuracy of aforementioned temperature change model who obtains through melting the simulation model, melt simulation model and temperature change model and can constrain each other promptly, even if any model in melting simulation model and the temperature change model appears the deviation then, also can make relevant operating personnel in time discover, can avoid the maloperation, show reliability and the security that has promoted steam ablation operation.
Referring to fig. 8, an embodiment of the present invention further provides a data processing apparatus 800 for steam ablation, including:
a model determining module 801, configured to construct a temperature change model corresponding to a target object based on each piece of position information in the target object, a specified steam heat amount that needs to be released by a steam ablation device over time in an ablation process, and a simulated blood flow condition of the target object, where the temperature change model is used to simulate: a change in temperature of tissue within the target object over time during steam ablation at any location within the target object;
the prediction module 802 is configured to predict a temperature change condition of a tissue in the target object in a steam ablation process according to the acquired target object to-be-ablated position and the temperature change model.
Optionally, the model determining module 801 is specifically configured to:
acquiring a virtual anatomic model of the target object, and determining each position information in the target object according to the virtual anatomic model;
and 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.
Optionally, the model determining module 801 is specifically configured to:
determining a thermal diffusion model based on the simulated blood flow condition and any position information in the target object, wherein the thermal diffusion model simulates: during the steam ablation operation performed at the position matched with any position information in the target object, the heat quantity of each position in the target object is changed due to the simulated blood flow condition;
determining a heat transfer model based on the specified steam heat and the any position information, the heat transfer model simulating: a heat transfer process of the specified steam heat at each position of the target object in the process of performing steam ablation operation matched with any position information in the target object;
and processing the thermal diffusion model and the thermal transmission model to calculate the temperature change model.
Optionally, the model determining module 801 is specifically configured to:
simulating an ablation heat quantity obtained from the tissue in the target object during the ablation process of the simulated ablation position based on the thermal diffusion model and the thermal conduction model;
applying the ablation heat to a bio-heat equation to calculate the temperature change model using the bio-heat equation.
Referring to fig. 9, the data processing apparatus 900 for steam ablation in fig. 9 can be understood with reference to the data processing apparatus 800 for steam ablation in fig. 8, and for the same or similar matters, details are not repeated herein, and the data processing apparatus 900 for steam ablation includes:
an actual position obtaining module 901, configured to obtain any actual steam ablation position in an actual ablation set, where the actual ablation set includes mapping relationships between each actual steam ablation position and a corresponding actual steam ablation result; the actual ablation result characterizes: the temperature of each position of the target object changes in the process of executing steam ablation operation corresponding to the actual steam ablation position in the target object;
an ablation result prediction module 902, configured to obtain a predicted steam ablation result according to the any actual steam ablation position; the predicted steam ablation outcome is predicted by the temperature variation model;
an adjusting module 903, configured to adjust an individualized physiological parameter of the temperature change model based on a difference information between an actual steam ablation result and the predicted steam ablation result corresponding to any actual steam ablation position.
Optionally, the obtaining mode of the specified steam heat includes:
determining a concentration of vapor released by the ablation device when tissue within the target subject is vapor ablated;
based on the steam concentration, determining an evaporation flux, which is used to characterize the mass of liquid water accumulated on a unit area of the inner tissue wall of the target object per unit time during the steam ablation process;
calculating the specified steam heat based on the evaporation flux.
Optionally, referring to fig. 10, the data processing apparatus 1000 for steam ablation in fig. 10 can be understood with reference to the data processing apparatus 800 for steam ablation in fig. 8, and the same or similar contents are not repeated herein.
The data processing device 1000 for steam ablation comprises:
an effect simulation model obtaining module 1001 for obtaining an ablation effect simulation model; the ablation effect simulation model is used for simulating the damage condition of the tissue in the target object in the steam ablation process;
an ablation effect prediction module 1002, configured to predict a current ablation effect of the tissue in the target object based on the ablation effect simulation model and the steam ablation duration, where the current ablation effect represents a damage condition of the tissue in the target object during the steam ablation.
Referring to fig. 11, an electronic device 1100 is provided, including:
a processor 1101; and the number of the first and second groups,
a memory 1102 for storing executable instructions for the processor;
wherein the processor 1101 is configured to perform the above-referenced method via execution of the executable instructions.
The processor 1101 can communicate with the memory 1102 over a bus 1103.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the above-mentioned method.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (11)
1. A data processing method for steam ablation, comprising:
based on each position information in the target object, the specified steam heat required to be released by the steam ablation equipment along with time in the ablation process and the simulated blood flow condition of the target object, constructing a temperature change model corresponding to the target object, wherein the temperature change model is used for simulating: a change in temperature of tissue within the target object over time during steam ablation at any location within the target object;
and predicting the temperature change condition of the tissue in the target object in the steam ablation process according to the acquired position to be ablated of the target object and the temperature change model.
2. The data processing method of steam ablation according to claim 1,
based on each position information in the target object, the appointed steam heat required to be released by the steam ablation device along with time in the ablation process and the simulated blood flow condition of the target object, constructing a temperature change model corresponding to the target object, wherein the temperature change model comprises the following steps:
acquiring a virtual anatomic model of the target object, and determining each position information in the target object according to the virtual anatomic model;
and 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.
3. The data processing method of steam ablation according to claim 2,
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, wherein the temperature change model comprises the following steps:
determining a thermal diffusion model based on the simulated blood flow condition and any position information in the target object, wherein the thermal diffusion model simulates: during the steam ablation operation performed at the position matched with any position information in the target object, the heat quantity of each position in the target object is changed due to the simulated blood flow condition;
determining a heat transfer model based on the specified steam heat and the any position information, the heat transfer model simulating: a heat transfer process of the specified steam heat at each position of the target object in the process of performing steam ablation operation matched with any position information in the target object;
and processing the thermal diffusion model and the thermal conduction model to calculate the temperature change model.
4. The data processing method of steam ablation according to claim 3, wherein calculating the temperature change model by processing the thermal diffusion model and the thermal transfer model comprises:
simulating the ablation heat quantity obtained by the tissue in the target object in the process of executing the steam ablation operation matched with any position information in the target object based on the thermal diffusion model and the thermal conduction model;
applying the ablation heat to a bio-heat equation to calculate the temperature change model using the bio-heat equation.
5. The data processing method of steam ablation according to any one of claims 1 to 4,
further comprising: acquiring any actual steam ablation position in an actual ablation set, wherein the actual ablation set comprises mapping relations between each actual steam ablation position and corresponding actual steam ablation results; the actual ablation result characterizes: during the process of performing steam ablation operation corresponding to the actual steam ablation position in the target object, the temperature of each position of the target object changes;
obtaining a predicted steam ablation result according to any actual steam ablation position; the predicted steam ablation outcome is predicted by the temperature variation model;
and 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.
6. The data processing method of steam ablation according to any one of claims 1 to 4,
the method for acquiring the specified steam heat comprises the following steps:
determining a concentration of vapor released by the ablation device when tissue within the target object is vapor ablated;
based on the steam concentration, determining an evaporation flux, which is used to characterize the mass of liquid water accumulated on a unit area of the inner tissue wall of the target object per unit time during the steam ablation process;
calculating the specified steam heat based on the evaporation flux.
7. The data processing method of steam ablation according to any one of claims 1 to 4, further comprising:
acquiring an ablation effect simulation model; the ablation effect simulation model is used for simulating the damage condition of the tissue in the target object in the steam ablation process;
and predicting the current ablation effect of the tissue in the target object based on the ablation effect simulation model and the steam ablation time length, wherein the current ablation effect represents the damage condition of the tissue in the target object in the steam ablation process.
8. A data processing device for steam ablation, comprising:
the model determining module is used for constructing a temperature change model corresponding to the target object based on each position information in the target object, the specified steam heat required to be released by the steam ablation equipment along with time in the ablation process and the simulated blood flow condition of the target object, and the temperature change model is used for simulating: a change in temperature of tissue within the target object over time during steam ablation at any location within the target object;
and the prediction module is used for predicting the temperature change condition of the tissue in the target object in the steam ablation process according to the acquired position of the target object to be ablated and the temperature change model.
9. A steam ablation system comprising a steam ablation device, a data processing device for performing the data processing method of any one of claims 1 to 7, and a display device for displaying the temperature variation predicted by the data processing method.
10. An electronic device, comprising a processor and a memory,
the memory is used for storing codes;
the processor configured to execute the code in the memory to implement the method of any one of claims 1 to 7.
11. A storage medium having stored thereon a computer program which, when executed by a processor, carries out the method of any one of claims 1 to 7.
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| CN116798638B (en) * | 2023-08-26 | 2023-11-03 | 南京诺源医疗器械有限公司 | Three-dimensional temperature field simulation method for microwave ablation of liver tumor |
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