CN119993511A - A method, system and device for determining an artificial heart performance optimization scheme based on hemodynamic indicators - Google Patents
A method, system and device for determining an artificial heart performance optimization scheme based on hemodynamic indicators Download PDFInfo
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Abstract
本申请公开了一种基于血流动力学指标的人工心脏性能优化方案确定方法、系统及设备，涉及医学领域，该方法包括：基于多组术前和术后生理学参数、术前和术后心血管几何模型确定最优数据（生理学参数和心血管参数）；基于最优数据对术前和术后心血管几何模型进行仿真计算，得到术前和术后血流动力学指标；对比术前和术后血流动力学指标，确定筛选后的血流动力学指标；基于筛选后的血流动力学指标和患者的术后身体健康状态，采用COX回归数据模型确定关键血流动力学指标；基于关键血流动力学指标确定人工心脏性能优化方案。本申请能够筛选出对患者身体健康状态有明显影响的关键血流动力学指标，作为以后人工心脏植入的优化目标，实现人工心脏性能优化。
The present application discloses a method, system and device for determining an optimization scheme for artificial heart performance based on hemodynamic indicators, which relates to the medical field. The method includes: determining optimal data (physiological parameters and cardiovascular parameters) based on multiple groups of preoperative and postoperative physiological parameters and preoperative and postoperative cardiovascular geometric models; simulating and calculating preoperative and postoperative cardiovascular geometric models based on the optimal data to obtain preoperative and postoperative hemodynamic indicators; comparing preoperative and postoperative hemodynamic indicators to determine screened hemodynamic indicators; using a COX regression data model to determine key hemodynamic indicators based on the screened hemodynamic indicators and the patient's postoperative physical health status; and determining an optimization scheme for artificial heart performance based on key hemodynamic indicators. The present application can screen out key hemodynamic indicators that have a significant impact on the patient's physical health status as optimization targets for future artificial heart implantation, thereby achieving optimization of artificial heart performance.
Description
Technical Field
The application relates to the field of medicine, in particular to a method, a system and equipment for determining an artificial heart performance optimization scheme based on hemodynamic indexes.
Background
The number of patients with full-sphere heart failure is rising year by year, and heart transplantation is still the best scheme for treating advanced heart failure, but heart donors are seriously deficient, so that the clinical application and development of artificial hearts are promoted. The current artificial heart surgical implantation scheme depends on the experience of doctors, and the setting of an artificial heart pump is mostly constant rotation speed, so that a series of complications appear after a patient implants the artificial heart, and the life health and the life quality of the patient are affected. Currently, safe and reasonable variable speed control of artificial hearts according to the physiological state of patients becomes a hot spot and a challenge of research. The current research on the performance and hemolytic performance of the multi-focus artificial heart, the feedback control of the physiological parameters and the parameters of the artificial heart of the patient, the monitoring of the heart rate and the blood pressure of the patient and other health indexes does not systematically evaluate the influence on the heart vessels of the patient after the implantation of the artificial heart and even the influence on the health state of the body, so that the performance of the artificial heart cannot be reasonably optimized, and important theoretical basis and technical support are provided for the clinical application of the artificial heart.
Disclosure of Invention
The application aims to provide a method, a system and equipment for determining an artificial heart performance optimization scheme based on hemodynamic indexes, which can screen hemodynamic indexes which have obvious influence on the health state of a patient, and can be used as a target for key optimization of later surgical implantation artificial heart, so that the optimization of the artificial heart performance is realized.
In order to achieve the above object, the present application provides the following.
In a first aspect, the present application provides a method for determining an artificial heart performance optimization scheme based on a hemodynamic index, including:
constructing a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of a patient;
acquiring a plurality of groups of preoperative physiological parameters and a plurality of groups of postoperative physiological parameters of a patient;
Determining optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters based on a plurality of groups of preoperative physiological parameters, a plurality of groups of postoperative physiological parameters, a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model, wherein the cardiovascular parameters comprise resistance and capacitance;
based on the optimal preoperative physiological parameters, the optimal postoperative physiological parameters and the optimal cardiovascular parameters, performing simulation calculation on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model to obtain preoperative hemodynamic indexes and postoperative hemodynamic indexes;
comparing the preoperative hemodynamic index with the postoperative hemodynamic index to determine the hemodynamic index after screening;
Determining key hemodynamic indexes by adopting a COX regression data model based on the hemodynamic indexes after screening and the postoperative body health state of a patient;
And determining an artificial heart performance optimization scheme based on the key hemodynamic index.
In a second aspect, the present application provides a system for determining an artificial heart performance optimization scheme based on hemodynamic index, comprising:
The cardiovascular geometric model construction module is used for constructing a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of a patient;
The physiological parameter acquisition module is used for acquiring a plurality of groups of preoperative physiological parameters and a plurality of groups of postoperative physiological parameters of a patient;
the optimal data determining module is used for determining optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters based on a plurality of groups of preoperative physiological parameters, a plurality of groups of postoperative physiological parameters, a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model, wherein the cardiovascular parameters comprise resistance and capacitance;
The hemodynamic index determining module is used for carrying out simulation calculation on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model based on the optimal preoperative physiological parameter, the optimal postoperative physiological parameter and the optimal cardiovascular parameter to obtain a preoperative hemodynamic index and a postoperative hemodynamic index;
The post-screening hemodynamic index determining module is used for comparing the pre-operation hemodynamic index with the post-operation hemodynamic index to determine the post-screening hemodynamic index;
The key hemodynamic index determining module is used for determining the key hemodynamic index by adopting a COX regression data model based on the screened hemodynamic index and the postoperative body health state of the patient;
And the performance optimization scheme determining module is used for determining an artificial heart performance optimization scheme based on the key hemodynamic index.
In a third aspect, the application provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the computer program to implement the method for determining an artificial heart performance optimization scheme based on hemodynamic index as described above.
According to the specific embodiment of the application, the method, the system and the equipment for determining the artificial heart performance optimization scheme based on the hemodynamic index are provided, the hemodynamic index after operation is obtained by taking the determined optimal parameters (the optimal preoperative physiological parameters, the optimal postoperative physiological parameters and the optimal cardiovascular parameters) as simulation input and output conditions of geometric models (the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model), and the key hemodynamic index influencing the body health state after operation of a patient is screened out through a COX regression data model, so that the artificial heart performance optimization scheme can be determined, namely the key hemodynamic index is quantitatively analyzed, and the method, the system and the equipment are used as targets for the key optimization of the artificial heart implanted in later operation, provide reference basis for the research and development of the artificial heart which is safer and more fit with the actual human body, and provide powerful support for the long-term health management of the patient, thereby improving the life quality of the patient and prolonging the survival time.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for determining an artificial heart performance optimization scheme based on a hemodynamic index according to an embodiment of the present application.
Fig. 2 is a schematic functional block diagram of an artificial heart performance optimization scheme determining system based on hemodynamic indexes according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description.
In an exemplary embodiment, as shown in fig. 1, a method for determining an artificial heart performance optimization scheme based on a hemodynamic index is provided, where the method is executed by a computer device, specifically, may be executed by a computer device such as a terminal or a server, or may be executed by the terminal and the server together, and in an embodiment of the present application, the method is applied to the server and is described as an example, and includes the following steps S1 to S7. S1, constructing a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of a patient. Step S1 specifically includes steps S11-S13.
S11, acquiring preoperative medical image data and postoperative medical image data of a patient.
In particular, the acquired medical image data, for medical image data of an enhanced CT or enhanced MR scan, the scan may or may not include coronary arteries.
S12, constructing a preoperative three-dimensional cardiovascular model and a postoperative three-dimensional cardiovascular model of a patient by adopting an image reconstruction method based on preoperative medical image data and postoperative medical image data.
Specifically, the image reconstruction method includes, but is not limited to, one or more of image processing software, thresholding, region growing, level set, artificial intelligence algorithms.
And S13, carrying out optimization treatment and material parameter definition on the preoperative three-dimensional cardiovascular model and the postoperative three-dimensional cardiovascular model to obtain a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of the patient.
Specifically, the two three-dimensional cardiovascular models are optimized, and the processing method comprises one or more of model processing software, smoothing, repairing, denoising and cutting the inlet and outlet, so that the model is more similar to the real vascular wall surface on one hand, and can facilitate subsequent mesh dissection and simulation calculation on the other hand.
And respectively defining material parameters of the two three-dimensional cardiovascular models, wherein the material parameters are blood fluid (blood viscosity and density) and vascular solid parameters (Young modulus, poisson's ratio and density), and carrying out mesh dissection after an inlet and an outlet and a wall surface are designated. The grid adopts tetrahedral grid, the maximum size is not more than 10mm, the boundary layer is set to 5 layers, the specified blood viscosity is 0.0035 Pa.s, and the blood density is 1060kg/m 3.
S2, acquiring a plurality of groups of preoperative physiological parameters and a plurality of groups of postoperative physiological parameters of a patient. The preoperative physiological parameters and the postoperative physiological parameters comprise blood pressure parameters and stroke volume.
And S3, determining optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters based on a plurality of groups of preoperative physiological parameters, a plurality of groups of postoperative physiological parameters, a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model, wherein the cardiovascular parameters comprise resistance and capacitance. Step S3 specifically includes steps S31 to S33.
S31, calculating the arithmetic pre-cardiovascular parameters through morphological parameters of the pre-operation cardiovascular geometric model under each group of pre-operation physiological parameters.
The method comprises the steps of measuring relevant physiological parameters such as blood pressure parameters, stroke volume and the like of a patient by medical equipment or intelligent equipment before operation, and calculating the resistance and capacitance of each branch of cardiovascular of a plurality of groups of patients by measuring morphological parameters of each branch of a cardiovascular geometric model before operation of the patient. The resistance R can be calculated by the following formula: , wherein, Is the viscosity coefficient of blood, L is the vessel length, and r is the vessel radius. The capacitance C can be calculated by the following formula CWhereinIs the wall thickness of the vessel and P is the pulse pressure difference.
S32, calculating the post-operative cardiovascular parameters through morphological parameters of the post-operative cardiovascular geometric model under each group of post-operative physiological parameters.
And obtaining performance parameters of the artificial heart in-vitro test, including flow, outlet pressure, lift and the like corresponding to the rotating speed. After the artificial heart is implanted into a patient, the rotating speed is adjusted within a certain range, relevant physiological parameters are obtained at each rotating speed, and postoperative cardiovascular parameters are obtained according to the method of the step S31.
And S33, determining the optimal preoperative physiological parameter, the optimal postoperative physiological parameter and the optimal cardiovascular parameter by comparing the preoperative cardiovascular parameter with the postoperative cardiovascular parameter. The method comprises the steps of comparing preoperative cardiovascular parameters with postoperative cardiovascular parameters to obtain preoperative cardiovascular parameters and postoperative cardiovascular parameters with the smallest difference, taking physiological parameters corresponding to the preoperative cardiovascular parameters and the postoperative cardiovascular parameters with the smallest difference as optimal preoperative physiological parameters and optimal postoperative physiological parameters, and taking the average value of the preoperative cardiovascular parameters and the postoperative cardiovascular parameters with the smallest difference as the optimal cardiovascular parameters.
Specifically, in this embodiment, the cardiovascular resistance and capacitance of the patient are considered to be unchanged in a short period, and two groups of the nearest preoperative and postoperative cardiovascular parameters are selected as the true values of the patient, and the average value of the two parameters is used as the optimal resistance and the optimal capacitance.
And S4, performing simulation calculation on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model based on the optimal preoperative physiological parameters, the optimal postoperative physiological parameters and the optimal cardiovascular parameters to obtain preoperative hemodynamic indexes and postoperative hemodynamic indexes. The preoperative hemodynamic index and the postoperative hemodynamic index both comprise intravascular hemodynamic parameters and vascular access hemodynamic parameters, the intravascular hemodynamic parameters comprise intravascular speed, pressure, wall shear force, oscillation shear index, particle retention time and vorticity, and the vascular access hemodynamic parameters comprise vascular access blood flow, pressure and flow velocity.
Step S4 specifically includes step S41 to step S42.
S41, taking the optimal preoperative physiological parameter as the boundary inlet condition of each blood vessel in the preoperative cardiovascular geometric model, taking the optimal cardiovascular parameter as the outlet condition of each blood vessel in the preoperative cardiovascular geometric model, and solving the blood flow condition of each blood vessel by adopting a Navier-Stokes equation to obtain the preoperative hemodynamic index.
S42, taking the optimal postoperative physiological parameters as boundary inlet conditions of all the artificial blood vessels in the postoperative cardiovascular geometric model, taking the optimal cardiovascular parameters as outlet conditions of all the artificial blood vessels in the postoperative cardiovascular geometric model, and solving the blood flow condition of all the artificial blood vessels by adopting a Navier-Stokes equation to obtain postoperative hemodynamic indexes.
In this embodiment, the measured optimal physiological parameters (the optimal preoperative physiological parameters or the optimal postoperative physiological parameters) at a plurality of time points in one cardiac cycle are taken as the aortic inlet boundary conditions, the flow corresponding to the set rotational speed of an artificial blood vessel (if any) is the artificial blood vessel inlet boundary conditions, the outlet condition of each branch blood vessel is the optimal cardiovascular parameters, and the Navier-Stokes equation is adopted to solve the blood flow conditions in two cardiac cycles in the blood vessel of the patient, so as to obtain the blood flow dynamic parameters such as the velocity, the pressure, the wall shear force, the oscillation shear index, the particle retention time, the vortex quantity and the like in the cardiovascular of the patient, and the blood flow, the pressure, the flow velocity and the like at the inlet and outlet of each blood vessel.
S5, comparing the preoperative hemodynamic index with the postoperative hemodynamic index, and determining the hemodynamic index after screening. Specifically, comparing the preoperative hemodynamic index with the postoperative hemodynamic index, deleting the postoperative hemodynamic index with the difference value larger than the difference value threshold value from the preoperative hemodynamic index, and obtaining the screened hemodynamic index.
S6, determining key hemodynamic indexes by adopting a COX regression data model based on the hemodynamic indexes after screening and the postoperative body health state of the patient.
In this example, the patient was followed for 5 years, and the long-term impact of the implanted artificial heart on the patient's physical health was evaluated in combination with changes in the patient's physical health and hemodynamic index. And (3) establishing a COX regression data model according to the hemodynamic indexes and follow-up results (namely the postoperative body health state of the patient) screened in the step (S5), and finding out indexes which have obvious influence on the body health state of the patient, wherein the indexes are used as targets for the key optimization of the surgical implantation artificial heart of more patients in the future.
And S7, determining an artificial heart performance optimization scheme based on the key hemodynamic index.
And (3) identifying key hemodynamic indexes through the step S6, and quantitatively analyzing through statistical parameters such as a risk ratio and the like. This provides a scientific, systematic tool for the clinician to personalize the treatment and optimize the patient management regimen. Meanwhile, the COX regression model is also beneficial to comparison among different patient groups, and the long-term effect of artificial heart treatment is further optimized.
The application can provide powerful support for the long-term health management of patients on the basis of accurately evaluating the hemodynamic and physiological changes, thereby improving the life quality of the patients and prolonging the life cycle.
Based on the same inventive concept, the embodiment of the application also provides an artificial heart performance optimization scheme determining system based on the hemodynamic index. The implementation of the solution provided by the system is similar to the implementation described in the above method, so the specific limitations in the embodiments of the system for determining the performance of an artificial heart based on hemodynamic index provided below may be referred to above for the limitations of the method for determining the performance of an artificial heart based on hemodynamic index, which are not described herein.
In one exemplary embodiment, as shown in FIG. 2, an artificial heart performance optimization scheme determination system based on hemodynamic indices is provided, including the following modules.
The cardiovascular geometric model construction module 101 is configured to construct a pre-operative cardiovascular geometric model and a post-operative cardiovascular geometric model of a patient.
The physiological parameter acquisition module 102 is configured to acquire a plurality of sets of preoperative physiological parameters and a plurality of sets of postoperative physiological parameters of a patient.
The optimal data determining module 103 is configured to determine optimal pre-operative physiological parameters, optimal post-operative physiological parameters, and optimal cardiovascular parameters based on a plurality of sets of pre-operative physiological parameters, a plurality of sets of post-operative physiological parameters, a pre-operative cardiovascular geometric model, and a post-operative cardiovascular geometric model, where the cardiovascular parameters include resistance and capacitance.
The hemodynamic index determination module 104 is configured to perform simulation calculation on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model based on the optimal preoperative physiological parameter, the optimal postoperative physiological parameter and the optimal cardiovascular parameter, so as to obtain a preoperative hemodynamic index and a postoperative hemodynamic index.
The post-screening hemodynamic index determination module 105 is configured to compare the pre-operative hemodynamic index with the post-operative hemodynamic index to determine a post-screening hemodynamic index.
The key hemodynamic index determination module 106 is configured to determine a key hemodynamic index using a COX regression data model based on the screened hemodynamic index and a post-operative physical health status of the patient.
A performance optimization scheme determination module 107 for determining an artificial heart performance optimization scheme based on the key hemodynamic index.
In an exemplary embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor performing the steps of the method embodiments described above when the computer program is executed. The computer device may be a server or a terminal, and its internal structure may be as shown in fig. 3. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing data to be processed. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor is configured to implement a method for determining an artificial heart performance optimization scheme based on hemodynamic index.
It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor performing the steps of the method embodiments described above when the computer program is executed.
In an exemplary embodiment, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method embodiments described above.
In an exemplary embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are both information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to meet the related regulations.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic RandomAccess Memory, DRAM), etc.
The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The principles and embodiments of the present application have been described herein with reference to specific examples, which are intended to facilitate an understanding of the principles and concepts of the application and are to be varied in scope and detail by persons of ordinary skill in the art based on the teachings herein. In view of the foregoing, this description should not be construed as limiting the application.
Claims (10)
1. The artificial heart performance optimization scheme determination method based on the hemodynamic index is characterized by comprising the following steps of:
constructing a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of a patient;
acquiring a plurality of groups of preoperative physiological parameters and a plurality of groups of postoperative physiological parameters of a patient;
determining optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters based on a plurality of groups of preoperative physiological parameters, a plurality of groups of postoperative physiological parameters, a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model, wherein the cardiovascular parameters comprise resistance and capacitance;
based on the optimal preoperative physiological parameters, the optimal postoperative physiological parameters and the optimal cardiovascular parameters, performing simulation calculation on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model to obtain preoperative hemodynamic indexes and postoperative hemodynamic indexes;
comparing the preoperative hemodynamic index with the postoperative hemodynamic index to determine the hemodynamic index after screening;
Determining key hemodynamic indexes by adopting a COX regression data model based on the hemodynamic indexes after screening and the postoperative body health state of a patient;
And determining an artificial heart performance optimization scheme based on the key hemodynamic index.
2. The method for determining the artificial heart performance optimization scheme based on the hemodynamic index of claim 1, wherein the step of constructing the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model of the patient specifically comprises the steps of:
Acquiring preoperative medical image data and postoperative medical image data of a patient;
Based on the preoperative medical image data and the postoperative medical image data, constructing a preoperative three-dimensional cardiovascular model and a postoperative three-dimensional cardiovascular model of a patient by adopting an image reconstruction method;
and carrying out optimization treatment and material parameter definition on the preoperative three-dimensional cardiovascular model and the postoperative three-dimensional cardiovascular model to obtain a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of the patient.
3. The method for determining the performance optimization scheme of the artificial heart based on the hemodynamic index of claim 1, wherein the preoperative physiological parameter and the postoperative physiological parameter each comprise a blood pressure parameter and a stroke volume.
4. The method for determining the artificial heart performance optimization scheme based on the hemodynamic index according to claim 1, wherein the optimal preoperative physiological parameter, the optimal postoperative physiological parameter and the optimal cardiovascular parameter are determined based on a plurality of groups of preoperative physiological parameters, a plurality of groups of postoperative physiological parameters, a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model, and specifically comprises the following steps:
Calculating the pre-operative cardiovascular parameters under each group of pre-operative physiological parameters through morphological parameters of the pre-operative cardiovascular geometric model;
calculating the post-operative cardiovascular parameters under each group of the post-operative physiological parameters through morphological parameters of the post-operative cardiovascular geometric model;
by comparing the preoperative cardiovascular parameter with the postoperative cardiovascular parameter, an optimal preoperative physiological parameter, an optimal postoperative physiological parameter and an optimal cardiovascular parameter are determined.
5. The method for determining the artificial heart performance optimization scheme based on the hemodynamic index of claim 4, wherein the optimal preoperative physiological parameter, the optimal postoperative physiological parameter and the optimal cardiovascular parameter are determined by comparing the preoperative cardiovascular parameter with the postoperative cardiovascular parameter, and specifically comprises the following steps:
Comparing the preoperative cardiovascular parameter with the postoperative cardiovascular parameter to obtain the preoperative cardiovascular parameter and the postoperative cardiovascular parameter with the smallest difference value;
Taking physiological parameters corresponding to the preoperative cardiovascular parameter and the postoperative cardiovascular parameter with the smallest difference as the optimal preoperative physiological parameter and the optimal postoperative physiological parameter;
Taking the average value of the preoperative cardiovascular parameter and the postoperative cardiovascular parameter with the smallest difference as the optimal cardiovascular parameter.
6. The method for determining the artificial heart performance optimization scheme based on the hemodynamic index according to claim 1, wherein the method for determining the artificial heart performance optimization scheme based on the hemodynamic index comprises the steps of performing simulation calculation on a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model based on an optimal preoperative physiological parameter, an optimal postoperative physiological parameter and an optimal cardiovascular parameter to obtain the preoperative hemodynamic index and the postoperative hemodynamic index, and specifically comprises the following steps:
Taking the optimal preoperative physiological parameter as the boundary inlet condition of each blood vessel in the preoperative cardiovascular geometric model, taking the optimal cardiovascular parameter as the outlet condition of each blood vessel in the preoperative cardiovascular geometric model, and solving the blood flow condition of each blood vessel by adopting a Navier-Stokes equation to obtain the preoperative hemodynamic index;
Taking the optimal postoperative physiological parameters as boundary inlet conditions of all the artificial blood vessels in the postoperative cardiovascular geometric model, taking the optimal cardiovascular parameters as outlet conditions of all the artificial blood vessels in the postoperative cardiovascular geometric model, and solving the blood flow condition of all the artificial blood vessels by adopting a Navier-Stokes equation to obtain the postoperative hemodynamic index.
7. The method for determining the artificial heart performance optimization scheme based on the hemodynamic index of claim 1, wherein the preoperative hemodynamic index and the postoperative hemodynamic index each comprise an intravascular hemodynamic parameter and a vascular access hemodynamic parameter, the intravascular hemodynamic parameter comprises intravascular velocity, pressure, wall shear force, oscillation shear index, particle residence time and vorticity, and the vascular access hemodynamic parameter comprises vascular access blood flow, pressure and flow velocity.
8. The method for determining a performance optimization scheme of an artificial heart based on hemodynamic index according to claim 1, wherein comparing the preoperative hemodynamic index and the postoperative hemodynamic index, determining the hemodynamic index after screening specifically comprises:
Comparing the preoperative hemodynamic index with the postoperative hemodynamic index, deleting the postoperative hemodynamic index with the difference value larger than the difference value threshold value from the preoperative hemodynamic index, and obtaining the screened hemodynamic index.
9. A system for determining an artificial heart performance optimization scheme based on hemodynamic index, comprising:
The cardiovascular geometric model construction module is used for constructing a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of a patient;
The physiological parameter acquisition module is used for acquiring a plurality of groups of preoperative physiological parameters and a plurality of groups of postoperative physiological parameters of a patient;
the optimal data determining module is used for determining optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters based on a plurality of groups of preoperative physiological parameters, a plurality of groups of postoperative physiological parameters, a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model, wherein the cardiovascular parameters comprise resistance and capacitance;
The hemodynamic index determining module is used for carrying out simulation calculation on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model based on the optimal preoperative physiological parameter, the optimal postoperative physiological parameter and the optimal cardiovascular parameter to obtain a preoperative hemodynamic index and a postoperative hemodynamic index;
The post-screening hemodynamic index determining module is used for comparing the pre-operation hemodynamic index with the post-operation hemodynamic index to determine the post-screening hemodynamic index;
The key hemodynamic index determining module is used for determining the key hemodynamic index by adopting a COX regression data model based on the screened hemodynamic index and the postoperative body health state of the patient;
And the performance optimization scheme determining module is used for determining an artificial heart performance optimization scheme based on the key hemodynamic index.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method for determining an artificial heart performance optimization scheme based on hemodynamic index as claimed in any one of claims 1-8.
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