CN115577523A - Modeling method and system for radius with different degrees of osteoporosis - Google Patents

Abstract

The invention provides a modeling method and a modeling system for radius with different degrees of osteoporosis, and relates to the technical field of medical image processing. The method comprises the following steps: and after segmentation processing is carried out on the basis of the acquired CT scanning image set of the target radius, carrying out reverse engineering processing on the obtained radius component model information to obtain materialized information of the radius component model. And then based on the osteoporosis degree in the materialized information, obtaining cortical bone, cancellous bone and medullary cavity with different thicknesses by utilizing a preset calculation rule, and giving materials to all bone tissues in the radius component model by utilizing a preset standard database for reducing the elasticity modulus of osteoporosis. Through optimizing the modeling process of the radius, the process of radius modeling is simplified, the time cost of modeling is reduced, the modeling efficiency of the radius is greatly improved, osteoporosis of different degrees is reflected through the change of the thickness of the cortical bone and the change of the elastic modulus of the cancellous bone of the cortical bone, and the modeling of the radius can be closer to the real radius.

Description

Modeling method and system for radius with different degrees of osteoporosis

Technical Field

The invention relates to the technical field of medical image processing, in particular to a modeling method and a modeling system for radius with different degrees of osteoporosis.

Background

With the development of science and technology, modeling technology is widely applied to the field of biomedical engineering, for example, engineers can model different radii by means of modeling technology and carry out finite element analysis to simulate fracture. Osteoporosis is a systemic bone disease, and with loss of bone mass and damage to bone microstructure, the probability of fracture of a patient will increase dramatically, usually with loss of bone mass and reduction in cortical bone thickness. The existing modeling method for the osteoporosis radius only changes the elastic modulus of cortical bone and cancellous bone materials, the established model is poor in uniformity with the real radius, osteoporosis cannot be reflected really, and the problems of low modeling efficiency, poor model accuracy and the like are caused.

Disclosure of Invention

The invention aims to provide a modeling method and a modeling system for radius with osteoporosis of different degrees, which simplify the modeling process of the radius by optimizing the modeling process of the radius, reduce the time cost of modeling, greatly improve the modeling efficiency of the radius, and embody the osteoporosis of different degrees by changing the thickness of cortical bone and the elasticity modulus of cancellous bone of the cortical bone, so that the modeling of the radius can be closer to the real radius.

The embodiment of the invention is realized by the following steps:

in a first aspect, the present application provides a modeling method for radius with different degrees of osteoporosis, including the following steps: performing segmentation processing based on the acquired CT scanning image set of the target radius to obtain radius part model information; performing reverse engineering processing by using the radius component information to obtain materialized information of the radius component model; based on the osteoporosis degree in the materialized information, obtaining cortical bone, cancellous bone and medullary cavity with different thicknesses by utilizing a preset calculation rule; and performing material endowment on all bone tissues in the radial bone part model by using a preset osteoporosis elastic modulus reduction standard database based on the obtained cortical bone, the cancellous bone and the medullary cavity with different thicknesses.

In some embodiments of the present invention, the reverse engineering process includes performing surface smoothing, bug fix, and precise surface creation processes of the radius component based on the radius component information.

In some embodiments of the present invention, the predetermined calculation rules include simplifying both ends of the radius into cancellous bone and a portion of the shaft of the radius into cortical bone and medullary cavity.

In some embodiments of the present invention, the predetermined calculation rule includes obtaining cortical bone with different thicknesses by using the offset command in Geomagic, and dividing the radial bone part into cancellous bone and medullary cavity by using boolean operation.

In some embodiments of the present invention, the step of establishing the osteoporosis elastic modulus reduction criteria database comprises: obtaining a plurality of sample radii, and performing a microscopic nanoindentation experiment by using the experimental sections of the plurality of sample radii to obtain the osteoporosis elastic modulus corresponding to each sample radius; obtaining a mapping relation for conformal mapping between the osteoporosis elastic modulus of the experimental section of each sample radius and a unit circle; and establishing an osteoporosis elastic modulus reduction standard database by using the osteoporosis elastic modulus and the mapping relation.

In some embodiments of the present invention, the step of performing segmentation processing based on the acquired CT scan image set of the target radius to obtain radius component model information specifically includes: preprocessing an acquired CT scanning image set of the target radius; acquiring a surface grid corresponding to each layer of image in the preprocessed CT scanning image set according to the cross-sectional scanning resolution of the CT scanning image set; performing stretching segmentation processing on each surface mesh according to the axial scanning resolution of the CT scanning image set, and segmenting the surface meshes into equivalent volume units according to the preset equivalent volume unit side length and the section scanning resolution; and stretching and dividing each equivalent volume unit to obtain model information of the radius part.

In a second aspect, embodiments of the present application provide a modeling system for radius with different degrees of osteoporosis, comprising: the basic data acquisition module is used for carrying out segmentation processing on the basis of the acquired CT scanning image set of the target radius to obtain radius part model information; the model materialization module is used for performing reverse engineering processing by utilizing the radius component information to obtain materialization information of the radius component model; the consistency processing module is used for obtaining cortical bones, cancellous bones and medullary cavities with different thicknesses by utilizing a preset calculation rule based on the osteoporosis degree in the materialized information; and the material endowing module is used for endowing all bone tissues in the radial part model with materials by utilizing a preset osteoporosis elastic modulus reduction standard database based on the obtained cortical bone, the cancellous bone and the medullary cavity with different thicknesses.

In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The one or more programs, when executed by the processor, implement the method as described in any of the first aspects above.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method as described in any one of the above first aspects.

Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:

the embodiment of the invention provides a modeling method of radius with different degrees of osteoporosis, which comprises the steps of firstly carrying out CT scanning on a target radius, and then carrying out segmentation processing by using an obtained CT scanning image set so as to obtain model information of a radius part. And then performing reverse engineering processing by using the radius component model information, so that the radius component model can be materialized. And then simplifying the materialized radius part model, and obtaining cortical bone, cancellous bone and medullary cavity with different thicknesses by using a preset calculation rule based on the osteoporosis degree in the materialized information. And finally, giving materials to all bone tissues in the radius part model by using cortical bones, cancellous bones and medullary cavities with different thicknesses and using a preset osteoporosis elastic modulus reduction standard database to obtain accurate and effective modeling of the target radius. The modeling process of whole radius is succinct convenient, can improve radius modeling efficiency to a very big degree, and embodies the osteoporosis of different degrees through the change of cortical bone thickness and the change of cortical bone cancellous bone elastic modulus for the modeling of radius can be close real radius more, and the accuracy of modeling is high.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

FIG. 1 is a flow chart of one embodiment of a method of modeling radius with varying degrees of osteoporosis in accordance with the present invention;

FIG. 2 is a flowchart illustrating the steps of obtaining model information of a radius component by performing segmentation processing based on an acquired set of CT scan images of a target radius according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a model of a radius component in an embodiment of the present invention;

FIG. 4 is a block diagram illustrating the structure of an embodiment of a modeling system for a radius with varying degrees of osteoporosis in accordance with the present invention;

fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.

Icon: 1. cancellous bone; 2. cortical bone; 3. a medullary cavity; 4. a basic data acquisition module; 5. a model materialization module; 6. a consistency processing module; 7. a material imparting module; 8. a processor; 9. a memory; 10. a data bus.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.

It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

In the description of the present application, it should be noted that if the terms "upper", "lower", "inner", "outer", etc. are used to indicate an orientation or positional relationship based on that shown in the drawings or that the application product is usually placed in use, the description is merely for convenience and simplicity, and it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore should not be construed as limiting the present application.

In the description of the present application, it should also be noted that, unless explicitly stated or limited otherwise, the terms "disposed" and "connected" should be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in this application will be understood to be a specific case for those of ordinary skill in the art.

Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments and features of the embodiments described below can be combined with one another without conflict.

Example 1

Referring to fig. 1 to 3, the present application provides a modeling method of radius with different degrees of osteoporosis, which can improve modeling efficiency and accuracy of radius. The modeling method of the radius with different degrees of osteoporosis comprises the following steps:

step S101: and carrying out segmentation processing based on the acquired CT scanning image set of the target radius to obtain radius part model information.

In the above steps, a series of CT scan image sets are obtained by performing CT scan on the target radius, and then the CT scan images are respectively subjected to corresponding segmentation processing, so that corresponding radius component model information can be obtained, and original data support is provided for subsequent processing. Illustratively, the segmentation processing on the CT scan image set may be processing by using MIMICS software to obtain the radial component model information in the STL format, so that the acquisition is simple and convenient, and the acquisition efficiency and speed of the radial component model information are effectively improved.

Specifically, the step of performing segmentation processing based on the acquired CT scan image set of the target radius to obtain radius component model information may specifically include:

step S201: and preprocessing the acquired CT scanning image set of the target radius.

In the above steps, the CT scan image set may be affected by the imaging device and the external environment during the digitization and transmission processes, so that the image quality may be poor. The quality of the processed image can be better, so that the image can be better analyzed and judged, and the processing efficiency and accuracy are improved.

Step S202: and acquiring a surface grid corresponding to each layer of image in the preprocessed CT scanning image set according to the cross-sectional scanning resolution of the CT scanning image set.

Step S203: and performing stretching segmentation processing on each surface mesh according to the axial scanning resolution of the CT scanning image set, and segmenting the surface meshes into equivalent volume units according to the preset equivalent volume unit side length and the section scanning resolution.

Step S204: and stretching and dividing each equivalent volume unit to obtain model information of the radius part.

In the above steps S202-S204, the axial point locations are used to obtain the layer-by-layer CT scan image of the target radius, and then the surface mesh corresponding to each layer of image in the preprocessed CT scan image set can be obtained according to the cross-sectional scan resolution. And then, stretching and dividing each surface grid according to the resolution of axial scanning to further obtain the solid grid of the surface grid, and dividing the surface grid into equivalent volume units according to the preset side length of the equivalent volume units and the scanning resolution of the cross sections. And establishing each layer of body grid according to the section sequence, and establishing the corresponding relation between the equivalent volume unit and the node, thereby obtaining corresponding radius part model information. So that the difference of the microstructure of the radius part model information can be effectively improved on the premise of ensuring the richness of the data.

Step S102: and performing reverse engineering processing by using the radius component information to obtain materialized information of the radius component model. Illustratively, the radial component model information can be correspondingly processed by utilizing the Geomagic software, so that the materialization processing of the radial component model is realized.

Specifically, the reverse engineering process includes performing surface smoothing, leak repairing, and precise surface creation processes of the radius component based on the radius component information.

In the above steps, the surface smoothing includes concepts of surface smoothing and surface smoothing, where smoothing indicates continuity of curves and curves, and smoothing is a feeling of fuzzy subjective judgment of designers according to their design experiences. The above surface smoothing criteria mainly include: the curve and the curved surface defined by the surface shape have at least first-order continuity, or require continuous second-order derivatives; the curvature is uniformly changed; the curved surface looks more smooth and comfortable to the naked eye; the spatial curve has uniform flexibility transformation. The leak repairing refers to operations such as filling and removing of a hole-shaped structure appearing in the radius component model, and the accurate curved surface creating processing is a process of accurately creating the curved surface of the radius component.

Step S103: based on the osteoporosis degree in the materialized information, cortical bone 2, cancellous bone 1 and medullary cavity 3 with different thicknesses are obtained by utilizing a preset calculation rule.

In the above steps, different degrees of osteoporosis are shown as thickness variations in the cortical bone 2, so that the cortical bone 2, the cancellous bone 1 and the medullary cavity 3 with different thicknesses can be obtained by using a preset calculation rule. The preset calculation rule comprises the steps of obtaining cortical bones 2 with different thicknesses by using a deviation command in Geomagic, and dividing a radius part into cancellous bones 1 and medullary cavities 3 by using Boolean operation, so as to generate the cortical bones 2, the cancellous bones 1 and the medullary cavities 3 with different thicknesses.

In addition, the preset calculation rule further includes simplifying both ends of the radius into cancellous bone 1, and simplifying the radial shaft part into cortical bone 2 and medullary cavity 3.

In the above steps, as the backbone of the radius, which is seen to be long in the exercise function, has thicker cortical bone 2, becomes thinner gradually towards the two ends, the cortical bone 2 at the two ends of the radius is very thin and is mostly composed of spongy bone 1 filled inside, and the spongy bone 1 of the backbone is very little, and a larger medullary cavity 3 is formed in the center, the two ends of the radius can be simplified into the spongy bone 1 in the mold building process, and the backbone part can be simplified into the cortical bone 2 and the medullary cavity 3. As shown in fig. 3, the thickness range of cortical bone 2 for osteoporosis is shown in the following table:

	non-osteoporotic group	Osteoporosis group
			Bilateral cortical bone 2 thickness/mm	5.44±0.68	4.56±0.90

Step S104: based on the obtained cortical bone 2, cancellous bone 1 and medullary cavity 3 with different thicknesses, a preset standard database of the reduction of the elastic modulus of osteoporosis is used for material assignment to all bone tissues in the radius component model.

In the above steps, according to the osteoporosis diagnosis standard provided by the world health organization, the T value is more than or equal to-1.0 SD and is the normal bone density, -2.5 SD-restricted T value is less than-1.0 SD and is the bone mass reduction, the T value is less than or equal to-2.5 SD and is the osteoporosis, compared with the normal radius, the elastic modulus of cortical bone 2 in the model is reduced by 33%, and the elastic modulus of cancellous bone 1 is reduced by 66%, which is defined as the osteoporosis. According to the osteoporosis degree, different parts of the radius are endowed with materials, so that the independent endowment of each bone tissue material is realized, and the material parameters of the bone tissue in three models of a normal radius, an osteoporosis radius and a severe osteoporosis radius are exemplarily listed as shown in the following table:

illustratively, the step of establishing the osteoporosis elastic modulus reduction criteria database may include:

obtaining a plurality of sample radii, and performing a microscopic nano indentation experiment by using the experimental sections of the plurality of sample radii to obtain the osteoporosis elastic modulus corresponding to each sample radius; obtaining a mapping relation for angle keeping mapping between the osteoporosis elastic modulus of the experimental section of each sample radius and a unit circle; and establishing an osteoporosis elastic modulus reduction standard database by using the osteoporosis elastic modulus and the mapping relation.

In the above steps, a microscopic nanoindentation experiment is performed on the experimental cross section of a plurality of sample radii, so that the osteoporosis elastic modulus corresponding to the sample radii can be obtained, and then the irregular cancellous bone 1 region is mapped to a circular region of a standard unit circle based on a conformal mapping method, so that any point on the experimental cross section of the sample radii can be mapped to a point on the unit circle. Meanwhile, the proportion of the spongy bone 1 in unit volume on the section can be obtained according to the CT scanning image of the sample radius, and the whole experimental section can be divided into a spongy bone 1 core area, a transition area and a cortical bone 2 spongy bone 1 interface area according to the proportion of the spongy bone 1 for carrying out measuring point arrangement. So that the osteoporosis elastic modulus and the mapping relation can be further utilized to establish an accurate and effective osteoporosis elastic modulus reduction standard database.

Example 2

Referring to fig. 4, an embodiment of the present application provides a modeling system for radius with different degrees of osteoporosis, which includes:

and the basic data acquisition module 4 is used for carrying out segmentation processing on the basis of the acquired CT scanning image set of the target radius to obtain radius part model information. And the model materialization module 5 is used for performing reverse engineering processing by utilizing the radius component information to obtain materialization information of the radius component model. And the consistency processing module 6 is used for obtaining the cortical bone 2, the cancellous bone 1 and the medullary cavity 3 with different thicknesses by utilizing a preset calculation rule based on the osteoporosis degree in the materialized information. And the material assigning module 7 is used for assigning materials to all bone tissues in the radius part model by utilizing a preset standard database of the reduction of the elasticity modulus of osteoporosis based on the obtained cortical bone 2, the cancellous bone 1 and the medullary cavity 3 with different thicknesses.

For a specific implementation process of the system, please refer to the modeling method of radius with different degrees of osteoporosis provided in example 1, which is not described herein again.

Example 3

Referring to fig. 5, an electronic device according to an embodiment of the present disclosure includes at least one processor 8, at least one memory 9, and a data bus 10; wherein: the processor 8 and the memory 9 are communicated with each other through a data bus 10; the memory 9 stores program instructions executable by the processor 8, and the processor 8 calls the program instructions to perform a method of modeling a radius with varying degrees of osteoporosis. For example, to realize:

performing segmentation processing based on the acquired CT scanning image set of the target radius to obtain radius part model information; performing reverse engineering processing by using the radius component information to obtain materialized information of a radius component model; based on the osteoporosis degree in the materialized information, obtaining cortical bone 2, cancellous bone 1 and medullary cavity 3 with different thicknesses by utilizing a preset calculation rule; all bone tissues in the radius component model are subjected to material assignment using a preset standard database of osteoporosis elastic modulus reduction based on the obtained cortical bone 2, cancellous bone 1 and medullary cavity 3 of different thicknesses.

The Memory 9 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.

The processor 8 may be an integrated circuit chip having signal processing capabilities. The Processor 8 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.

It will be appreciated that the configuration shown in fig. 5 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 5 or have a different configuration than shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.

Example 4

The present invention provides a computer-readable storage medium on which a computer program is stored which, when executed by a processor 8, implements a method of modeling radius with varying degrees of osteoporosis. For example, the following steps are realized:

performing segmentation processing based on the acquired CT scanning image set of the target radius to obtain radius part model information; performing reverse engineering processing by using the radius component information to obtain materialized information of the radius component model; based on the osteoporosis degree in the materialized information, obtaining cortical bone 2, cancellous bone 1 and medullary cavity 3 with different thicknesses by utilizing a preset calculation rule; based on the obtained cortical bone 2, cancellous bone 1 and medullary cavity 3 with different thicknesses, a preset standard database of the reduction of the elastic modulus of osteoporosis is used for material assignment to all bone tissues in the radius component model.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

The above-described functions, if implemented in the form of software functional modules and sold or used as a separate product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-described method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application 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 application 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 (9)

1. A modeling method of radius with different degrees of osteoporosis is characterized by comprising the following steps:

performing segmentation processing based on the acquired CT scanning image set of the target radius to obtain radius part model information;

performing reverse engineering processing by using the radius component information to obtain materialized information of a radius component model;

based on the osteoporosis degree in the materialized information, obtaining cortical bone, cancellous bone and medullary cavity with different thicknesses by utilizing a preset calculation rule;

and based on the obtained cortical bone, the cancellous bone and the medullary cavity with different thicknesses, giving materials to all bone tissues in the radius part model by utilizing a preset standard database for reducing the elastic modulus of osteoporosis.

2. The method of claim 1, wherein said reverse engineering process comprises surface smoothing, hole repair, and precise surface creation processes of the radius component based on the radius component information.

3. The method of claim 1, wherein the predetermined calculation rules include simplifying the ends of the radius into cancellous bone and the shaft portion of the radius into cortical bone and medullary cavity.

4. The method of claim 1, wherein the predetermined calculation rules include obtaining cortical bone of different thickness using Geomagic offset commands, and using Boolean operations to divide the radius component into cancellous bone and medullary cavity.

5. The method for modeling radius with varying degrees of osteoporosis of claim 1, wherein said database of osteoporosis elastic modulus reduction criteria is created by:

obtaining a plurality of sample radii, and performing a microscopic nanoindentation experiment by using the experimental sections of the plurality of sample radii to obtain the osteoporosis elastic modulus corresponding to each sample radius;

obtaining a mapping relation for conformal mapping between the osteoporosis elastic modulus of the experimental section of each sample radius and a unit circle;

and establishing an osteoporosis elastic modulus reduction standard database by using the osteoporosis elastic modulus and the mapping relation.

6. The method of claim 1, wherein the step of performing segmentation processing based on the acquired CT scan image set of the target radius to obtain radius component model information specifically comprises:

preprocessing an acquired CT scanning image set of the target radius;

acquiring a surface grid corresponding to each layer of image in the preprocessed CT scanning image set according to the cross-sectional scanning resolution of the CT scanning image set;

stretching and dividing each surface grid according to the axial scanning resolution of the CT scanning image set, and dividing the surface grids into equivalent volume units according to the side length of a preset equivalent volume unit and the section scanning resolution;

and stretching and dividing each equivalent volume unit to obtain model information of the radius part.

7. A modeling system for radius with varying degrees of osteoporosis, comprising:

the basic data acquisition module is used for carrying out segmentation processing on the basis of the acquired CT scanning image set of the target radius to obtain radius part model information;

the model materialization module is used for performing reverse engineering processing by utilizing the radius component information to obtain materialization information of the radius component model;

the consistency processing module is used for obtaining cortical bones, cancellous bones and medullary cavities with different thicknesses by utilizing a preset calculation rule based on the osteoporosis degree in the materialized information;

and the material assigning module is used for assigning materials to all bone tissues in the radius part model by utilizing a preset standard database for reducing the elastic modulus of osteoporosis based on the obtained cortical bone, the cancellous bone and the medullary cavity with different thicknesses.

8. An electronic device comprising at least one processor, at least one memory, and a data bus; wherein: the processor and the memory complete mutual communication through the data bus; the memory stores program instructions for execution by the processor, the processor calling the program instructions to perform the method of any of claims 1-6.

9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.

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