A method and system for predicting and controlling ablation parameters

Abstract

The present invention relates to the field of medical care information technology, and in particular, to a method and system for predicting and controlling ablation parameters, the method comprising: obtaining a thickness fluctuation curve of a target tissue fed back by an imaging device; calculating a steam demand parameter of a probe device based on the thickness fluctuation curve; calculating a steam compensation parameter based on a connecting pipe parameter, the steam compensation parameter including a steam compensation pressure and a steam compensation temperature; and calculating an actual steam supply parameter corresponding to a steam generator based on the steam compensation pressure, the steam compensation temperature, the steam pressure, and the steam temperature. The present invention realizes the correction of the steam temperature, the steam supply pressure, and the steam supply pressure duration based on the current actual target tissue thickness fluctuation curve, the connecting pipe diameter, and the connecting pipe length, thereby making the steam temperature, the steam supply pressure, and the steam supply pressure duration no longer fixed values, but dynamically changing values ​​that are more in line with the actual situation of the current target tissue.

Description

Technical Field

[0001] The present invention relates to the field of medical care information technology, and in particular to a method and system for predicting and controlling ablation parameters. Background Art

[0002] Physical thermal ablation technology is a minimally invasive treatment method that accurately destroys diseased tissues (such as tumors) by applying high or low temperature energy. It is widely used in tumor interventional treatment, cardiovascular disease treatment, and chronic pain management. In recent years, with the advancement of image-guided technology and energy generation devices, thermal ablation has become an important alternative to traditional surgery. However, the existing steam-based physical thermal ablation technology usually uses fixed steam temperature, steam supply pressure, and pressure supply duration, and cannot adjust the steam temperature, steam supply pressure, and pressure supply duration according to actual conditions. However, its clinical effect and safety are highly dependent on the precise control of energy parameters during the treatment process. How to achieve intelligent parameter precision control still has significant technical bottlenecks. Summary of the invention

[0003] The object of the present invention is to provide a method and system for predicting and controlling ablation parameters, so as to improve the problem of lack of precise regulation in the above-mentioned existing steam-based physical thermal ablation system.

[0004] In order to achieve the above objectives, the present application provides the following technical solutions:

[0005] On the one hand, an embodiment of the present application provides a method for predicting and controlling ablation parameters, and the method is applicable to an ablation system, wherein the system includes a steam generator, a probe device and an imaging device, and the method includes: obtaining a thickness fluctuation curve of a target tissue fed back by an imaging device, wherein the thickness fluctuation curve is obtained by an operator by operating the imaging device; calculating a steam demand parameter of the probe device based on the thickness fluctuation curve, wherein the steam demand parameter includes steam pressure, steam temperature and steam pressure supply duration; obtaining a connecting pipe parameter based on a connecting pipe model, wherein the connecting pipe parameter includes a connecting pipe diameter and a connecting pipe length, wherein the connecting pipe is used to connect a steam generator and a probe device, and then transport steam in the steam generator to the probe device; obtaining a steam compensation parameter based on the connecting pipe parameter, wherein the steam compensation parameter includes steam compensation pressure and steam compensation temperature; obtaining an actual steam supply parameter corresponding to the steam generator based on the steam compensation pressure, steam compensation temperature, steam pressure and steam temperature, wherein the actual steam supply parameter includes actual steam supply temperature, actual steam supply pressure and actual steam supply duration.

[0006] Optionally, the step of calculating a steam demand parameter of a probe device based on the thickness fluctuation curve includes:

[0007] The thickness fluctuation curve is divided into a plurality of fluctuation line segments based on a preset unit segmentation length, and the central axis corresponding to each fluctuation line segment is constructed at one time through a numerical approximation algorithm, and the slope corresponding to each central axis is calculated;

[0008] and marking the central axis whose slope exceeds the first preset threshold as a first segment, and detecting whether each first segment is adjacent, and merging the adjacent first segments into a second segment;

[0009] Based on the first partition segment and the second partition segment, the plurality of fluctuation line segments are divided into a plurality of fluctuation line segment sets, and the mean thickness corresponding to each fluctuation line segment set is calculated, and the plurality of mean thicknesses are classified by a clustering algorithm to obtain at least two mean clusters, and the number of fluctuation line segments corresponding to each mean cluster is greater than a second preset threshold;

[0010] Calculating the difference between the multiple mean value clusters, if the difference is less than a third preset threshold, weighting the mean thickness corresponding to each fluctuation line segment set based on the number of fluctuation line segments in each fluctuation line segment set, and then calculating a thickness reference value, and calculating a steam demand parameter based on the thickness reference value;

[0011] If the difference is greater than the third preset threshold, the steam pressure supply time is calculated based on the total number of fluctuation line segments in the multiple fluctuation line segment sets in the mean cluster, and the steam pressure and steam temperature are calculated based on the average thickness value corresponding to the mean cluster.

[0012] In a second aspect, this embodiment provides a system for predicting and controlling ablation parameters, the system comprising:

[0013] An acquisition module, used for acquiring a thickness fluctuation curve of a target tissue fed back by an imaging device, wherein the thickness fluctuation curve is obtained by an operator by operating the imaging device;

[0014] A first calculation module, configured to calculate steam demand parameters of the probe device based on the thickness fluctuation curve, wherein the steam demand parameters include steam pressure, steam temperature and steam pressure supply time;

[0015] a second calculation module, for obtaining connection pipe parameters based on the connection pipe model, wherein the connection pipe parameters include a diameter of the connection pipe and a length of the connection pipe, wherein the connection pipe is used to connect the steam generator and the probe device, and further transport the steam in the steam generator to the probe device;

[0016] A third calculation module, configured to calculate steam compensation parameters based on the connection pipe parameters, wherein the steam compensation parameters include steam compensation pressure and steam compensation temperature;

[0017] The fourth calculation module is used to calculate the actual steam supply parameters corresponding to the steam generator based on the steam compensation pressure, the steam compensation temperature, the steam pressure and the steam temperature, wherein the actual steam supply parameters include the actual steam supply temperature, the actual steam supply pressure and the actual steam supply time.

[0018] The beneficial effects of the present invention are:

[0019] Compared with the traditional control method of fixed ablation parameters, which takes less consideration of the actual target tissue thickness, the steam supply pressure, supply pressure temperature and supply pressure duration during the ablation process are all fixed values ​​set in advance by the idealized target tissue model constructed through big data, which lacks flexibility. The patent of the present invention realizes the correction of steam temperature, steam supply pressure and steam supply pressure duration based on the current actual target tissue thickness fluctuation curve, the diameter of the connecting tube and the length of the connecting tube, so that the steam temperature, steam supply pressure and steam supply pressure duration are no longer fixed values, but dynamically changing, which is more in line with the actual situation of the current target tissue. Specifically:

[0020] On the one hand, different thicknesses of target tissues correspond to different steam requirements, and the overall duration of physical thermal ablation operations is relatively short. Therefore, for thick tissues, targeted treatment cannot be performed only by increasing the pressure supply duration (thick tissues are mainly treated by compensating for the pressure supply duration). The corresponding steam temperature and / or steam pressure can also be increased within a certain range (the adjustment range is relatively small);

[0021] Secondly, the present invention also fully considers the influence of the diameter and length of the connecting tube on the attenuation of steam, and then introduces steam parameter compensation based on the connecting tube model (avoiding the disadvantage of forced binding of traditional ablation equipment with the connecting tube model, and effectively increasing the expansibility of equipment accessories).

[0022] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or be understood by implementing the embodiments of the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flowchart of a method for predicting and controlling ablation parameters described in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] It should be noted that similar reference numerals or letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0027] Embodiment 1:

[0028] like Figure 1 As shown, this embodiment provides a method for predicting and controlling ablation parameters, the method is applicable to an ablation system, the system includes a steam generator, a probe device and an imaging device (such as an ultrasonic imaging device, etc.), the method includes step S100, step S200, step S300, step S400 and step S500.

[0029] Step S100: The probe device reaches the target position under the guidance of the imaging device, and then obtains the thickness fluctuation curve of the target tissue at the current point through the imaging device, wherein the thickness fluctuation curve is obtained by the operator by operating the imaging device;

[0030] Step S200, calculating the steam demand parameters of the probe device based on the thickness fluctuation curve, the steam demand parameters including steam pressure, steam temperature and steam pressure supply time. Secondly, in the case of large thickness fluctuation, it is necessary to calculate the steam demand parameters of different thicknesses;

[0031] The specific judgment logic is:

[0032] Step S210, dividing the thickness fluctuation curve into a plurality of fluctuation line segments based on a preset unit segmentation length, constructing a central axis corresponding to each fluctuation line segment at one time through a numerical approximation algorithm, and calculating a slope corresponding to each central axis;

[0033] Step S220, marking the central axis whose slope exceeds the first preset threshold as a first segment, detecting whether each first segment is adjacent, and merging adjacent first segments into a second segment;

[0034] Step S230: based on the first partition segment and the second partition segment, the plurality of fluctuation line segments are divided into a plurality of fluctuation line segment sets, and the mean thickness corresponding to each fluctuation line segment set is calculated, and the plurality of mean thicknesses are classified by a clustering algorithm to obtain at least two mean clusters, and the number of fluctuation line segments corresponding to each mean cluster is greater than a second preset threshold, thereby ensuring the number of fluctuation line segments corresponding to each mean cluster;

[0035] Step S241, calculating the difference between multiple mean value clusters, if the difference is less than a third preset threshold, weighting the mean thickness corresponding to each fluctuation line segment set based on the number of fluctuation line segments in each fluctuation line segment set, and then calculating a thickness reference value, and calculating a steam demand parameter based on the thickness reference value;

[0036] Step S242, (when there are large-scale clustered thickness tissues with different gradients, it is necessary to perform targeted steam demand calculations for the thickness tissues with different gradients) If the difference is greater than the third preset threshold, the steam pressure supply time is calculated based on the total number of fluctuation line segments in the multiple fluctuation line segment sets in the mean cluster, and the steam pressure and steam temperature are calculated based on the average thickness value corresponding to the mean cluster.

[0037] The following is a calculation model for steam demand parameters of different thicknesses within a unit perimeter area (or unit rotation angle). The default human body initial temperature in the model is 36.8-37°C and the heating target temperature is 60-62°C.

[0038] ; Where L is the thickness reference value or average thickness value, is the thermal diffusivity of the tissue, and t is the duration of steam pressure supply within unit circumference area (or unit rotation angle).

[0039] (kPa); A=8.07131, B=1730.63, C=233.426, P is the steam pressure, T is the steam temperature, A, B, C are characteristic constants related to water.

[0040] Secondly, t in the above formula is the steam pressure supply time within unit circumference area (or unit rotation angle). When the difference is less than the third preset threshold, the corresponding steam pressure supply time is calculated based on the tissue length or the maximum rotation angle. When the difference is greater than or equal to the third preset threshold, the corresponding unit circumference area (or unit rotation angle) is calculated based on the total number of fluctuation line segments in the set of multiple fluctuation line segments in the mean class set, and then the corresponding steam pressure supply time is calculated.

[0041] The judgment logic of the above steps S210-S242 is: split the entire thickness fluctuation curve into multiple fluctuation line segments, and then separate the nodes where large fluctuations occur in the entire thickness fluctuation curve based on the slope of each fluctuation line segment. In this process, it is necessary to regard several consecutive adjacent fluctuation line segments with high rising slopes as one node, and then split the thickness fluctuation curve into multiple fluctuation line segment sets based on the nodes. At this time, the fluctuation range of the thickness value in a fluctuation line segment set is small. However, in the actual operation process, considering that the single operation time of the ablation system is about 15 to 20 minutes, frequent operation is usually not allowed. In order to change the steam supply parameters of the steam generator, it is necessary to further cluster the above-mentioned multiple fluctuation line segment sets to obtain 1-3 clusters. During the clustering process, the basic number of fluctuation line segments in each cluster needs to be guaranteed. If there are fewer fluctuation line segments in a cluster, it indicates that there are a large number of normal tissues near the tissue corresponding to the cluster. By controlling the number of clusters to be less than 3 and ensuring the basic number of each cluster, the steam supply parameters of the steam generator can be adjusted within 1-2 times. Usually, parameter adjustment operation will occur only when the tissue hyperplasia is more serious (abnormal protrusions appear on the thickness curve).

[0042] Then the thickness difference between each cluster is calculated. When the difference is small (the difference is less than the third preset threshold), the system does not need to adjust parameters midway. Therefore, the thickness value corresponding to the cluster is weighted based on the number of fluctuation segments in each cluster to obtain the final thickness reference value. Based on the thickness reference value, the corresponding steam demand parameter is found in the preset equipment operating parameter comparison table. The steam demand parameter includes steam pressure, steam temperature and steam pressure supply time. It should be noted that this steam demand parameter is the steam release parameter corresponding to the outlet end of the probe device, and the actual steam supply parameter of the steam generator should take into account the attenuation of steam temperature and steam pressure caused by the diameter and length of the connecting pipe.

[0043] When the difference is large (the difference is greater than or equal to the third preset threshold), it is necessary to determine the steam pressure supply time in the area based on the length or circumference of the tissue corresponding to each cluster (the total number of fluctuation line segments in the set of multiple fluctuation line segments in the mean class set), and determine the steam pressure and steam temperature based on the average thickness of each cluster.

[0044] Step S300, obtaining connection pipe parameters based on the connection pipe model, wherein the connection pipe parameters include the diameter of the connection pipe and the length of the connection pipe, wherein the connection pipe is used to connect the steam generator and the probe device, and further transport the steam in the steam generator to the probe device;

[0045] Step S400, calculating steam compensation parameters based on the connecting pipe parameters, the steam compensation parameters including steam compensation pressure and steam compensation temperature, wherein the loss of hot steam due to the diameter and length of the connecting pipe can be measured based on a limited number of experiments, and generating a corresponding energy loss comparison table, i.e., steam compensation pressure and steam compensation temperature;

[0046] Step S500: Calculate actual steam supply parameters corresponding to the steam generator based on the steam compensation pressure, the steam compensation temperature, the steam pressure and the steam temperature, wherein the actual steam supply parameters include the actual steam supply temperature, the actual steam supply pressure and the actual steam supply time.

[0047] The method described in this embodiment obtains the thickness fluctuation curve of the target tissue fed back by the imaging device, and accurately adjusts the ablation parameters (steam temperature, steam supply pressure and steam supply pressure duration) based on the thickness curve.

[0048] Embodiment 2:

[0049] This embodiment provides a system for predicting and controlling ablation parameters, characterized in that the system includes:

[0050] An acquisition module, used for acquiring a thickness fluctuation curve of a target tissue fed back by an imaging device, wherein the thickness fluctuation curve is obtained by an operator by operating the imaging device;

[0051] A first calculation module, configured to calculate steam demand parameters of the probe device based on the thickness fluctuation curve, wherein the steam demand parameters include steam pressure, steam temperature and steam pressure supply time;

[0052] a second calculation module, for obtaining connection pipe parameters based on the connection pipe model, wherein the connection pipe parameters include a diameter of the connection pipe and a length of the connection pipe, wherein the connection pipe is used to connect the steam generator and the probe device, and further transport the steam in the steam generator to the probe device;

[0053] A third calculation module, configured to calculate steam compensation parameters based on the connection pipe parameters, wherein the steam compensation parameters include steam compensation pressure and steam compensation temperature;

[0054] The fourth calculation module is used to calculate the actual steam supply parameters corresponding to the steam generator based on the steam compensation pressure, the steam compensation temperature, the steam pressure and the steam temperature, wherein the actual steam supply parameters include the actual steam supply temperature, the actual steam supply pressure and the actual steam supply time.

[0055] It should be noted that, regarding the device in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment of the method, and will not be elaborated here.

Claims

1. A method for predicting and controlling ablation parameters, the method being applicable to an ablation system, the system comprising a steam generator and an imaging device, characterized in that: The method comprises: Obtaining a thickness fluctuation curve of a target tissue fed back by an imaging device, wherein the thickness fluctuation curve is obtained by an operator through operating the imaging device; Calculating steam demand parameters of the probe device based on the thickness fluctuation curve, the steam demand parameters including steam pressure, steam temperature and steam pressure supply time; obtaining connection pipe parameters based on the connection pipe model, wherein the connection pipe parameters include a diameter of the connection pipe and a length of the connection pipe, wherein the connection pipe is used to connect the steam generator and the probe device, thereby transporting steam in the steam generator to the probe device; Calculate steam compensation parameters based on the connecting pipe parameters, where the steam compensation parameters include steam compensation pressure and steam compensation temperature; Based on the steam compensation pressure, the steam compensation temperature, the steam pressure and the steam temperature, actual steam supply parameters corresponding to the steam generator are calculated, wherein the actual steam supply parameters include the actual steam supply temperature, the actual steam supply pressure and the actual steam supply time; Secondly, the steam demand parameter of the probe device is calculated based on the thickness fluctuation curve, including: The thickness fluctuation curve is divided into a plurality of fluctuation line segments based on a preset unit segmentation length, and the central axis corresponding to each fluctuation line segment is constructed at one time through a numerical approximation algorithm, and the slope corresponding to each central axis is calculated; and marking the central axis whose slope exceeds the first preset threshold as a first partition segment, and detecting whether each first partition segment is adjacent, and merging the adjacent first partition segments into a second partition segment; Based on the first partition segment and the second partition segment, the plurality of fluctuation line segments are divided into a plurality of fluctuation line segment sets, and the mean thickness corresponding to each fluctuation line segment set is calculated, and the plurality of mean thicknesses are classified by a clustering algorithm to obtain at least two mean clusters, and the number of fluctuation line segments corresponding to each mean cluster is greater than a second preset threshold; Calculating the difference between the multiple mean value clusters, if the difference is less than a third preset threshold, weighting the mean thickness corresponding to each fluctuation line segment set based on the number of fluctuation line segments in each fluctuation line segment set, and then calculating a thickness reference value, and calculating a steam demand parameter based on the thickness reference value; If the difference is greater than the third preset threshold, the steam pressure supply time is calculated based on the total number of fluctuation line segments in the multiple fluctuation line segment sets in the mean cluster, and the steam pressure and steam temperature are calculated based on the average thickness value corresponding to the mean cluster.

2. A system for predicting and controlling ablation parameters, characterized in that: The system comprises: An acquisition module, used for acquiring a thickness fluctuation curve of a target tissue fed back by an imaging device, wherein the thickness fluctuation curve is obtained by an operator by operating the imaging device; A first calculation module, configured to calculate steam demand parameters of the probe device based on the thickness fluctuation curve, wherein the steam demand parameters include steam pressure, steam temperature and steam pressure supply time; a second calculation module, for obtaining connection pipe parameters based on the connection pipe model, wherein the connection pipe parameters include a diameter of the connection pipe and a length of the connection pipe, wherein the connection pipe is used to connect the steam generator and the probe device, and further transport the steam in the steam generator to the probe device; A third calculation module, configured to calculate steam compensation parameters based on the connection pipe parameters, wherein the steam compensation parameters include steam compensation pressure and steam compensation temperature; a fourth calculation module, configured to calculate actual steam supply parameters corresponding to the steam generator based on the steam compensation pressure, the steam compensation temperature, the steam pressure and the steam temperature, wherein the actual steam supply parameters include an actual steam supply temperature, an actual steam supply pressure and an actual steam supply duration; The first calculation module calculates the steam demand parameter of the probe device based on the thickness fluctuation curve, including: The thickness fluctuation curve is divided into a plurality of fluctuation line segments based on a preset unit segmentation length, and the central axis corresponding to each fluctuation line segment is constructed at one time through a numerical approximation algorithm, and the slope corresponding to each central axis is calculated; and marking the central axis whose slope exceeds the first preset threshold as a first partition segment, and detecting whether each first partition segment is adjacent, and merging the adjacent first partition segments into a second partition segment; Based on the first partition segment and the second partition segment, the plurality of fluctuation line segments are divided into a plurality of fluctuation line segment sets, and the mean thickness corresponding to each fluctuation line segment set is calculated, and the plurality of mean thicknesses are classified by a clustering algorithm to obtain at least two mean clusters, and the number of fluctuation line segments corresponding to each mean cluster is greater than a second preset threshold; Calculating the difference between the multiple mean value clusters, if the difference is less than a third preset threshold, weighting the mean thickness corresponding to each fluctuation line segment set based on the number of fluctuation line segments in each fluctuation line segment set, and then calculating a thickness reference value, and calculating a steam demand parameter based on the thickness reference value; If the difference is greater than the third preset threshold, the steam pressure supply time is calculated based on the total number of fluctuation line segments in the multiple fluctuation line segment sets in the mean cluster, and the steam pressure and steam temperature are calculated based on the average thickness value corresponding to the mean cluster.

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