CN114723886A - Human body digital twinning thought-based method for constructing high-fidelity digital twins of scapula levator - Google Patents
Human body digital twinning thought-based method for constructing high-fidelity digital twins of scapula levator Download PDFInfo
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Abstract
The invention discloses a human body digital twinning thought-based method for constructing a scapula levator high-fidelity digital twinning body, which comprises a scapula levator high-precision modeling method, a force-shape model library construction method thereof, a scapula levator tissue constitutive model research and a scapula levator high-fidelity digital twinning body construction method; researching a high-precision three-dimensional geometric model modeling method of the levator scapulae, which integrates actions and deformation, and providing data support for the next work; carrying out dynamic numerical analysis research on the scapula levator tissues, constructing a constitutive model of the scapula levator tissues by combining a force-shape geometric model library of the scapula levator tissues and related test data, and establishing an accurate biodynamic numerical analysis model of the scapula levator on the basis of the constitutive model; the method comprises the following steps that a digital twin body of the scapular levator is constructed by means of a digital twin system, and the digital twin body mainly comprises an information acquisition, transmission and processing system, a simulation calculation system and a twin mapping system; and completing the virtual twin mapping with high consistency on the human muscle structure.
Description
Technical Field
The invention relates to the technical field of digital twins, in particular to a method for constructing a high-fidelity digital twins of scapular levator based on the idea of human digital twins.
Background
The scapular levator muscle injury is a common disease of neck and shoulder soft tissue injury in clinic, is common in people with long-term bent over a desk and poor sitting posture, and is more and more popular with the use of electronic equipment such as computers, and the scapular levator muscle injury disease has a tendency of high morbidity and young development in recent years. Because its clinical manifestations are similar to those of cervical spondylosis and scapulohumeral periarthritis, it is often misdiagnosed as cervical spondylosis or scapulohumeral periarthritis, so it is not cured for a long time.
According to the relevant research reports, the traditional Chinese medicine treatment method combining acupuncture, small needle knife and massage has good treatment effect on the shoulder blade levator muscle injury and is more and more widely applied. Due to the particularity of muscle tissues and the characteristics of traditional Chinese medicine, the effect of traditional Chinese medicine on the treatment and rehabilitation of muscle injuries mostly depends on the experience of doctors.
In recent years, Digital twins (Digital Twin) have been drawing attention from academic and industrial circles as enabling technologies and means for practicing advanced ideas such as smart manufacturing, industrial 4.0, industrial internet, smart city, and the like. The digital twin integrates the simulation process of multidisciplinary, multi-scale and multi-physical quantity by building a virtual digital model fusing data such as sensor data, operation history and the like, faithfully maps real world objects in a virtual world, diagnoses and predicts the state of physical entity objects through virtual-real mapping, and regulates and controls the state of the physical entity objects through optimization and instructions. The digital twin technology originates from the field of intelligent manufacturing, and with the deepening of people in the cognition of the digital twin technology, the research of the human digital twin also becomes the key point of the field of medical health. Professor of ceramic flying indicates that human digital twins will become a new platform and a new experimental means for personal health management and health medical services. Based on human digital twins, medical personnel can obtain human dynamic and static multisource data through various sensing modes so as to prejudge the risk and probability of human diseases.
At present, the human digital twin is still under the stage of initiation. Generally, the research on human digital twins in China is shallow, and the research on the human digital twins technology in the aspect of muscles is not seen yet.
The construction of the three-dimensional geometric model of the muscle tissue is the basis for constructing the muscle digital twin body. Currently, professional human body modeling software such as mimics, 3 Dslicers and anybodies has a good performance in bone modeling. Because the muscle tissue can change in shape under different motion states, if a muscle tissue kinematics three-dimensional model needs to be established, medical tomograms at different positions need to be acquired for multiple times, and the dynamic change of the muscle model is difficult to reflect in real time. Researchers have proposed various modeling methods, but all have the problems of long time consumption, overlarge calculated amount and low geometric precision in muscle shaping.
The key of the biomechanical modeling of the muscle tissue is to construct a reasonable muscle constitutive model. For muscle tissue, its mechanical properties are mainly indicated by superelasticity. The super elastic material has better elasticity and recoverability and is in nonlinear change. For the superelasticity constitutive model, Neo-Hooken, Ogden, Mooney-Rivlin, Yeoh and the like are common, wherein the Neo-Hooken constitutive model is approved by most scholars, after the model is selected, the mechanical properties are determined through experiments such as stretch breaking, uniaxial stretching, uniaxial compression and the like, a characteristic curve is obtained, and the selected constitutive equation is fitted to obtain determined constitutive model parameters, so that basic data are provided for simulation analysis. However, the problems that the constitutive model of the muscle is difficult to be integrated in the process of a mechanical experiment, the physiological activity of the muscle is difficult to be ensured, the procedure is complex, the procedure is complicated and the like exist in the determination of the constitutive model of the muscle by physical experiment means.
Disclosure of Invention
The invention aims to provide a method for constructing a high-fidelity digital twinning body of a scapula levator based on the human digital twinning thought, so as to overcome the defects of the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a scapular levator high-fidelity digital twins construction method based on the human body digital twins thought;
the method comprises a high-precision modeling method of the scapular levator, a construction method of a force-shape model library of the scapular levator, a study on a constitutive model of the scapular levator tissue and a construction method of a high-fidelity digital twin of the scapular levator;
the high-precision modeling method of the scapular levator and the force-shape model library construction method thereof are a high-precision three-dimensional geometric model modeling method of the scapular levator, which integrates the research action and the deformation, and are used for establishing the force-shape geometric model library of the scapular levator tissue to provide data support for the next work;
the study of the scapula levator tissue constitutive model refers to the study of dynamic numerical analysis of the scapula levator tissue, the constitutive model of the scapula levator tissue is constructed by combining a force-shape geometric model library of the scapula levator tissue and relevant test data, and an accurate biodynamics numerical analysis model of the scapula levator is established on the basis of the constitutive model;
the construction method of the high-fidelity digital twins of the scapular levator is that the digital twins of the scapular levator are constructed by means of a digital twins system, and mainly comprises an information acquisition, transmission and processing system, a simulation calculation system and a twins mapping system, so that virtual twins mapping with consistent human muscle structure height is completed.
As a further scheme of the invention: the high-precision modeling method for the scapular levator and the force-shape model library thereof are based on MRI image data, and a high-precision three-dimensional geometric model modeling method for the scapular levator, which integrates actions and deformation, is researched; and analyzing the deformation process of the levator scapulae under different stress conditions through the collected data, establishing a force-shape geometric model library of the levator scapulae tissue, exploring the deformation rule of the levator scapulae, and providing data support for the next work.
As a further scheme of the invention: the study on the scapula levator tissue constitutive model is based on a classical muscle tissue constitutive model, the dynamic numerical analysis study on the scapula levator tissue is carried out, the dynamic numerical analysis study is combined with a force-shape geometric model library of the scapula levator tissue and related test data to construct the scapula levator tissue constitutive model, the motion and mechanical response behaviors of the scapula levator tissue under different motion states and stress conditions can be adapted, and the accurate biodynamic numerical analysis model of the scapula levator is established on the basis.
As a further scheme of the invention: the construction method of the high-fidelity digital twin body of the scapula levator mainly comprises an information acquisition system, a transmission and processing system, a simulation calculation system and a twin mapping system; firstly, designing a scapula levator information acquisition scheme according to an anatomical mechanism and a biomechanics mechanism; designing a data transmission and processing system; researching a fusion method of dynamic heterogeneous data with different formats or time scales; researching a mapping relation model of the fusion data and the biomechanical performance of the levator scapulae, and carrying out simulation, adjustment and optimization on a numerical analysis model of the levator scapulae; and researching a real-time rendering technology, constructing a high-fidelity virtual scapula levator three-dimensional model, and completing virtual twin mapping with consistent human muscle structure height.
As a further scheme of the invention: the information acquisition system comprises a muscle hardness acquisition system, a myoelectric signal acquisition system and a muscle deformation signal acquisition system.
As a further scheme of the invention: the muscle hardness acquisition system is used for acquiring muscle hardness data of scapular levator muscles of different subjects based on a muscle hardness meter.
As a further scheme of the invention: the electromyographic signal acquisition system is used for acquiring the electromyographic signals of the levator scapulae in a motion state based on an electromyographic signal sensor; the muscle deformation signal acquisition system is based on a displacement sensor and acquires deformation signals of the scapular levator under a motion state.
As a further scheme of the invention: the data transmission and processing system selects a proper transmission mode aiming at the collected multi-source data, thereby avoiding the problems of data distortion and the like; carrying out corresponding preprocessing on the data to ensure that various types of data can be communicated with each other; by researching the fusion method of dynamic heterogeneous data with different formats or time scales, the data fusion can be realized on the same platform. And finally, the transmission and processing of multi-source data are realized.
As a further scheme of the invention: the simulation calculation system is used for researching a mapping relation model of fusion data and biomechanical performance of the scapula levator based on the established scapula levator high-precision model, the force-shape model library and the scapula levator tissue constitutive model, and carrying out simulation, adjustment and optimization on the scapula levator numerical analysis model.
As a further scheme of the invention: the twin mapping system constructs a high-fidelity virtual scapula levator three-dimensional model by researching a real-time rendering technology, and completes virtual twin mapping with consistent human muscle structure height.
Compared with the prior art, the invention has the beneficial effects that: aiming at the difficulty in diagnosis and clinical treatment of the current scapula levator injury, the invention constructs a scapula levator digital twin by collecting human static and dynamic information such as MRI images and the like based on a human digital twin concept, so that a doctor can visually observe a damaged focus, know the deformation and biomechanical performance conditions of the damaged muscle and help the doctor to guide the rehabilitation treatment of the damaged muscle; through the application of the technology, the biomechanical characteristic data of the muscle of the patient with the shoulder levator muscle injury is accumulated, a quantitative basis is provided for the diagnosis of a doctor, and the diagnosis and treatment accuracy is improved. The research result of the project lays a foundation for further combining the digital twin technology and the Chinese medicine means for treating the human muscle injury diseases. .
Drawings
FIG. 1 is a three-dimensional parametric modeling of a dynamic-shape integrated levator scapulae;
FIG. 2 is the construction of a constitutive model of muscle tissue;
FIG. 3 shows a means for realizing the fusion of the digital twin of the levator scapulae.
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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
The method for constructing the high-fidelity digital twins of the scapular levator based on the human digital twins thought is described in the embodiment. The method comprises a high-precision modeling method of the scapular levator, a construction method of a force-shape model library of the scapular levator, a study on a constitutive model of the scapular levator tissue and a construction method of a high-fidelity digital twin of the scapular levator;
the high-precision modeling method for the scapular levator and the force-shape model library thereof are used for researching a high-precision three-dimensional geometric model modeling method for the scapular levator integrating actions and deformation, establishing the force-shape geometric model library for the scapular levator tissues and providing data support for the next work.
The method comprises the steps of carrying out dynamic numerical analysis research on the scapula levator tissue, constructing a scapula levator tissue constitutive model by combining a force-shape geometric model library of the scapula levator tissue and relevant test data, and establishing an accurate biodynamics numerical analysis model of the scapula levator on the basis of the dynamic numerical analysis model.
The method for constructing the high-fidelity digital twin of the scapular levator comprises the step of constructing the digital twin of the scapular levator by means of a digital twin system, and mainly comprises an information acquisition, transmission and processing system, a simulation calculation system and a twin mapping system. And completing the virtual twin mapping with high consistency on the human muscle structure.
As shown in fig. 1, a "dynamic-shape" integrated high-precision model of levator scapulae was constructed as follows. Based on a parametric modeling idea, extracting a contour line of a research object in each layer of MR image based on MR image data, and constructing a curved surface algorithm based on the contour line to complete the construction of a three-dimensional model of a muscle tissue in a specific state; then, carrying out hierarchical definition on the curved surface characteristics of the muscles to obtain different motion state forms of the muscles represented by points and characteristic curves, and enabling the registration of the constructed muscle model and the real muscle model to be within an allowable error range in different motion states by continuously optimizing parameters; finally, establishing a corresponding relation between the skeleton around the muscle and the muscle deformation to obtain the coordinated movement of the muscle deformation and the skeleton; finally, one-time scanning is realized, and high-precision models in different motion states are obtained. Acquiring MR images, and storing the MR images in a DICOM format; and (3) image preprocessing, noise elimination, edge enhancement and extraction of surface contour information of the scapular levator. After preprocessing, continuous contour edges of the target image are obtained. The subject adopts a contour line construction curved surface algorithm to obtain two-dimensional coordinates of data points on a contour line, converts the two-dimensional coordinates into three-dimensional coordinates and simplifies the three-dimensional coordinates, and reconstructs the two-dimensional contour line into a muscle curved surface by connecting corresponding contour lines and optimal matching points of adjacent layer images. The muscle curved surface is cut in the direction perpendicular to the muscle central axis, in order to accurately reflect the deformation of the muscle, the muscle curved surface is uniformly cut according to the total length of the muscle, and uniform characteristic points are marked on the section outline of each layer of slices. And sequentially connecting adjacent points of each characteristic point to obtain a characteristic curve of the muscle curved surface, and describing the overall shape of the muscle curved surface through the characteristic points and the characteristic curve. Defining three semantic parameters by taking the characteristic curve as the core of the deformation and parameterization of the muscle curved surface: and establishing a mapping relation among the three semantic parameters according to a physiological change rule in real muscle deformation and a principle of keeping the volume unchanged by adjusting the area of the section of the slice. Taking MRI images of the levator scapulae under different operation states as samples, directly registering the modeled levator scapulae model and the parametrically modeled levator scapulae, comparing the Hausdorff distance between the models to judge the similarity between the models and optimize the parameters describing the characteristic curve, and enabling the error between the models and the parameters to be within an allowable range.
As shown in fig. 2, constitutive models of muscle tissues in different states are established as follows. Selecting a Neo-Hookean model as a muscle tissue constitutive equation, screening and testing each parameter of the Neo-Hookean model according to different influence degrees of each parameter in a material constitutive model on target response, determining the influence degree of each parameter on mechanical response, and reversely solving the material parameter with larger influence on the mechanical response. Screening tests are carried out on all factors of the Neo-Hookean superelasticity constitutive model by using hyperstudy, the influence degree of each material parameter on mechanical response is reflected through simulation, and regression coefficients of all the factors are obtained from full factor test design, so that the factor with the largest influence is obtained. By combining finite element simulation and an optimization strategy, the value of a design variable is continuously adjusted by adopting a self-adaptive response surface method, so that an objective function is minimized, the value of the variable is output, and the reverse calculation of material parameters is realized. In the simulation platform, the constitutive model after the parameters are reversely solved is applied to different motion states and combined with a muscle twin body, so that the stress and deformation conditions of the scapula levator in the real-time response treatment process of the twin body are realized. The myotopro digital muscle state detector is used for detecting mechanical property indexes of the muscle, such as hardness, elasticity and the like, and changing parameters of the Neo-Hookean super-elastic constitutive model by taking the mechanical property indexes as an objective function, so that constitutive models of the muscle with different damage degrees are constructed.
As shown in fig. 3, the digital twin of the levator scapulae was constructed as follows.
Signal acquisition: the signals to be acquired and the sensor arrangement are determined. Through analysis, the data of the collected myoelectricity and deformation is selected as a sensing data collection object of the scapula levator. The sensor position preliminarily determines the placement position of the sensor by applying unit stress analysis to the numerical analysis model, and the sensor position is corrected according to the measured data.
Selecting an acquisition object: and selecting a plurality of people with similar ages and physical conditions as experimental objects for collection. And the myoelectric sensor and the deformation sensor are used for placing the artificial muscle in the corrected position. All the tested objects are required to adopt several unified actions, and the sensors respectively collect corresponding muscle deformation signals and skin surface electromyographic signals. Meanwhile, muscle hardness data are collected directly by a muscle hardness meter.
Signal processing: for the collected muscle deformation signals and electromyographic signals, the electromyographic signals and the deformation signals collected by the sensor are preprocessed through Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT) and an artificial intelligence algorithm, wherein the preprocessing comprises noise reduction processing, drift reduction, feature extraction and the like, and the usability and the accuracy of the obtained data are guaranteed. And the fusion algorithm of dynamic and heterogeneous data ensures that multi-source space-time data can be fused and integrated together for calculation.
Signal transmission: the signal is converted into a signal value and table data corresponding to the time, and the format csv is a data format in which a virtual simulation model can be input.
Digital twin construction: based on an ANSYS Twin Builder digital Twin platform, the constructed numerical analysis model of the scapular levator is imported, an input interface is created for each input signal, and a corresponding relation with the signal is constructed on the virtual model. And (4) importing the actually measured muscle deformation signals and the electromyographic signals in a csv file format to realize the mapping of the virtual model to the actually measured signals, namely load identification. In order to ensure real-time calculation and prediction of digital twins, reduced order processing is established according to measured signals to obtain a load identification ROM, and an input signal is simulated by a model to obtain a stress state. And simultaneously, a stress/deformation field ROM is created, and the results of stress, strain and the like are obtained through model simulation. And correspondingly connecting the output of the load identification ROM with the input of the stress/deformation field ROM to construct a digital twin model of the muscle-skeleton of the scapular levator. Finally, the digital twin file is packaged into an executable digital twin file. And signal real-time acquisition, signal real-time input, real-time model simulation and real-time result display are realized through a signal interface.
Digital twin visualization: and (3) establishing a high-fidelity virtual scapula levator three-dimensional model through a computer rendering engine.
Those not described in detail in this specification are within the skill of the art.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A high-fidelity digital twinning method for constructing scapula levator muscles is based on the human digital twinning thought. The method is characterized in that:
the method comprises a high-precision modeling method of the scapular levator, a construction method of a force-shape model library of the scapular levator, a study on a constitutive model of the scapular levator tissue and a construction method of a high-fidelity digital twin of the scapular levator;
the high-precision modeling method of the scapular levator and the force-shape model library construction method thereof are a high-precision three-dimensional geometric model modeling method of the scapular levator, which integrates the research action and the deformation, and are used for establishing the force-shape geometric model library of the scapular levator tissue to provide data support for the next work;
the study of the scapula levator tissue constitutive model refers to the study of dynamic numerical analysis of the scapula levator tissue, the constitutive model of the scapula levator tissue is constructed by combining a force-shape geometric model library of the scapula levator tissue and relevant test data, and an accurate biodynamics numerical analysis model of the scapula levator is established on the basis of the constitutive model;
the construction method of the high-fidelity digital twins of the scapular levator is that the digital twins of the scapular levator are constructed by means of a digital twins system, and mainly comprises an information acquisition, transmission and processing system, a simulation calculation system and a twins mapping system, so that virtual twins mapping with consistent human muscle structure height is completed.
2. The human body digital twinning thought-based high-fidelity digital twinning method for constructing the scapula levator, which is characterized by comprising the following steps of: the scapula levator high-precision modeling method and the force-shape model library building method thereof are based on MRI image data, and research is carried out on a scapula levator high-precision three-dimensional geometric model modeling method integrating action and deformation; and analyzing the deformation process of the levator scapulae under different stress conditions through the collected data, establishing a force-shape geometric model library of the levator scapulae tissue, exploring the deformation rule of the levator scapulae, and providing data support for the next work.
3. The human body digital twinning thought-based high-fidelity digital twinning method for constructing the scapula levator, which is characterized by comprising the following steps of: the study on the scapula levator tissue constitutive model is based on a classical muscle tissue constitutive model, the dynamic numerical analysis study on the scapula levator tissue is carried out, the dynamic numerical analysis study is combined with a force-shape geometric model library of the scapula levator tissue and related test data to construct the scapula levator tissue constitutive model, the motion and mechanical response behaviors of the scapula levator tissue under different motion states and stress conditions can be adapted, and the accurate biodynamic numerical analysis model of the scapula levator is established on the basis.
4. The human body digital twinning thought-based scapula levator high-fidelity digital twinning method as claimed in claim 1, which is characterized in that: the construction method of the high-fidelity digital twin body of the scapula levator mainly comprises an information acquisition system, a transmission and processing system, a simulation calculation system and a twin mapping system; firstly, designing a scapula levator information acquisition scheme according to an anatomical mechanism and a biomechanics mechanism; designing a data transmission and processing system; researching a fusion method of dynamic heterogeneous data with different formats or time scales; researching a mapping relation model of the fusion data and the biomechanical performance of the levator scapulae, and carrying out simulation, adjustment and optimization on a numerical analysis model of the levator scapulae; and researching a real-time rendering technology, constructing a high-fidelity virtual scapula levator three-dimensional model, and completing virtual twin mapping with consistent human muscle structure height.
5. The human body digital twinning thought-based scapula levator high-fidelity digital twinning method as claimed in claim 1, which is characterized in that: the information acquisition system comprises a muscle hardness acquisition system, a myoelectric signal acquisition system and a muscle deformation signal acquisition system.
6. The human body digital twinning thought-based high-fidelity digital twinning method for constructing the scapula levator, which is characterized by comprising the following steps of: the muscle hardness acquisition system is used for acquiring muscle hardness data of scapular levator muscles of different subjects based on a muscle hardness meter.
7. The human body digital twinning thought-based scapula levator high-fidelity digital twinning method as claimed in claim 1, which is characterized in that: the electromyographic signal acquisition system is used for acquiring the electromyographic signal of the scapula levator in a motion state based on an electromyographic signal sensor; the muscle deformation signal acquisition system is based on a displacement sensor and acquires deformation signals of the scapular levator under a motion state.
8. The human body digital twinning thought-based scapula levator high-fidelity digital twinning method as claimed in claim 1, which is characterized in that: the data transmission and processing system selects a proper transmission mode aiming at the collected multi-source data, thereby avoiding the problems of data distortion and the like; carrying out corresponding preprocessing on the data to ensure that various types of data can be communicated with each other; by researching the fusion method of dynamic heterogeneous data with different formats or time scales, the data fusion can be realized on the same platform. And finally, the transmission and processing of multi-source data are realized.
9. The human body digital twinning thought-based high-fidelity digital twinning method for constructing the scapula levator, which is characterized by comprising the following steps of: the simulation computing system is used for researching a mapping relation model of fusion data and biomechanical performance of the scapular levator based on the established scapular levator high-precision model, the force-shape model library and the scapular levator tissue constitutive model, and carrying out simulation, adjustment and optimization on the scapular levator numerical analysis model.
10. The human body digital twinning thought-based scapula levator high-fidelity digital twinning method as claimed in claim 1, which is characterized in that: the twin mapping system constructs a high-fidelity virtual scapula levator three-dimensional model by researching a real-time rendering technology, and completes virtual twin mapping with consistent human muscle structure height.
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