CN111488680B - Method and device for detecting specific elastic modulus of soft tissue - Google Patents
Method and device for detecting specific elastic modulus of soft tissue Download PDFInfo
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Abstract
The disclosure relates to a method and a device for detecting specific elastic modulus of soft tissue, wherein the method comprises the following steps: acquiring an output signal of a micro-nano resonator, wherein the micro-nano resonator is attached to the surface of a soft tissue; obtaining a quality factor of the micro-nano resonator according to the output signal, and obtaining a specific elastic modulus of the soft tissue according to the quality factor; wherein the specific elastic modulus is in linear proportional relation with the quality factor. In the embodiment of the disclosure, the specific elastic modulus of the soft tissue is reversely deduced by using the quality factor of the micro-nano resonator attached to the surface of the soft tissue through the relationship between the specific elastic modulus of the soft tissue and the quality factor of the micro-nano resonator; the detection of the elastic modulus of the soft tissue can be realized under the real environment of a human body, the measurement is convenient and reliable, and the result accuracy is high.
Description
Technical Field
The disclosure relates to the technical field of microelectronics, in particular to a method and a device for detecting the specific elastic modulus of soft tissue.
Background
Skin mechanics plays an important role in clinical and cosmetic applications, the mechanical property of the skin is mastered, and the method has important significance for development and perfection of medical treatment, pharmacy and cosmetics.
The elastic modulus is one of important mechanical properties of the skin and is an important factor in understanding the skin properties. In the related art, there are generally two methods for experimentally measuring the elastic modulus of skin: ex vivo experiments and in vivo experiments. However, ex vivo experiments cannot fully simulate the mechanical conditions of skin under human actual conditions; in-vivo results tend to vary widely.
Disclosure of Invention
In view of this, the present disclosure provides a method and an apparatus for detecting a specific elastic modulus of a soft tissue.
According to an aspect of the present disclosure, there is provided a method of detecting a specific elastic modulus of soft tissue, comprising:
acquiring an output signal of a micro-nano resonator, wherein the micro-nano resonator is attached to the surface of a soft tissue;
obtaining a quality factor of the micro-nano resonator according to the output signal;
obtaining the specific elastic modulus of the soft tissue according to the quality factor; wherein the specific elastic modulus is in linear proportional relation with the quality factor.
In one possible implementation, the obtaining the specific elastic modulus of the soft tissue according to the quality factor includes:
and obtaining the specific elastic modulus of the soft tissue according to the material, the length-thickness ratio, the Poisson's ratio of the soft tissue and the quality factor of the micro-nano resonator.
In a possible implementation manner, the obtaining a quality factor of the micro-nano resonator according to the output signal includes:
obtaining the resonance bandwidth and the resonance frequency of the micro-nano resonator according to the output signal;
and obtaining the quality factor according to the resonance bandwidth and the resonance frequency.
In one possible implementation manner, the micro-nano resonator is a cantilever-type micro-nano resonator and/or a bridge-type micro-nano resonator.
In a possible implementation manner, the length-thickness ratio of the micro-nano resonator is smaller than a preset threshold.
In one possible implementation, the micro-nano resonator is attached to the soft tissue surface through a polydimethylsiloxane-based base.
According to another aspect of the present disclosure, there is provided an apparatus for detecting a specific elastic modulus of soft tissue, including:
the output signal acquisition module is used for acquiring the output signal of the micro-nano resonator, and the micro-nano resonator is attached to the surface of soft tissue;
the quality factor acquisition module is used for acquiring the quality factor of the micro-nano resonator according to the output signal;
the specific elastic modulus detection module is used for obtaining the specific elastic modulus of the soft tissue according to the quality factor; wherein the specific elastic modulus is in linear proportional relation with the quality factor.
In a possible implementation manner, the specific elastic modulus detection module is specifically configured to: and obtaining the specific elastic modulus of the soft tissue according to the material, the length-thickness ratio, the Poisson's ratio of the soft tissue and the quality factor of the micro-nano resonator.
According to another aspect of the present disclosure, there is provided an apparatus for detecting a specific elastic modulus of soft tissue, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the above-described method.
In the embodiment of the disclosure, the specific elastic modulus of the soft tissue is reversely deduced by using the quality factor of the micro-nano resonator attached to the surface of the soft tissue through the relationship between the specific elastic modulus of the soft tissue and the quality factor of the micro-nano resonator; the detection of the elastic modulus of the soft tissue can be realized under the real environment of a human body, the measurement is convenient and reliable, and the result accuracy is high.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
FIG. 1 shows a flow chart of a method of detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure;
FIG. 2 shows a schematic diagram of a method of detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure;
FIG. 3 illustrates a scene schematic diagram of a method of detecting a specific elastic modulus of soft tissue according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating a relationship between a quality factor and a resonance bandwidth of a micro-nano resonator according to an embodiment of the disclosure;
FIG. 5 illustrates a block diagram of an apparatus for detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure;
FIG. 6 shows a block diagram of an apparatus for detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Skin mechanics plays an important role in clinical and cosmetic applications, and simultaneously, mastering the mechanical properties of the skin is also important for the development and perfection of medical treatment, pharmacy and cosmetics.
As one of the important mechanical properties of skin, elastic modulus is an important factor to help researchers understand skin properties. There are generally two methods for experimentally measuring the modulus of elasticity of skin: ex vivo experiments as well as in vivo experiments. However, ex vivo experiments cannot fully simulate the mechanical conditions of skin under human actual conditions; the results obtained by conventional experimental methods for in vivo measurement of the modulus of elasticity of skin tend to be very variable.
Therefore, in order to solve the technical problems in the related art, the present disclosure provides a technical scheme for detecting the specific elastic modulus of soft tissue such as skin and the like through the quality factor of the micro-nano resonator, which can be widely applied to the fields of biology, medical treatment, cosmetology and the like, and the relationship between the specific elastic modulus of the soft tissue and the quality factor of the micro-nano resonator is found through research in the present disclosure, so that the specific elastic modulus of the soft tissue is reversely deduced by using the quality factor of the micro-nano resonator attached to the surface of the soft tissue; the method can realize the detection of the elastic modulus of soft tissues such as skin and the like in a real environment of a human body, and has convenient and reliable measurement and high result accuracy.
Fig. 1 shows a flow chart of a method of detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure. As shown in fig. 1, the method may include the steps of:
step 30, obtaining the specific elastic modulus of the soft tissue according to the quality factor; wherein the specific elastic modulus is in linear proportional relation with the quality factor.
The Micro-Nano resonator is an important device in Micro-Electro-Mechanical System (MEMS)/Nano-Electromechanical System (NEMS) technology, has the advantages of high frequency, high sensitivity, high quality factor and the like, and is widely applied to the fields of high-precision signal processing, high-precision detection, high-precision sensing and the like. Two important parameters for measuring the performance of the micro-nano resonator are a quality factor and a resonant frequency respectively. The quality factor is a parameter for representing energy dissipation, and the reciprocal of the quality factor represents the ratio of total energy dissipated in a vibration cycle to total mechanical energy. In the embodiment of the disclosure, a linear relationship between the specific elastic modulus of the skin (i.e., the elastic modulus of unit density) and the quality factor of the resonator is found through research, so that the elastic modulus of soft tissues such as the skin is reversely deduced by using the quality factor of the micro-nano resonator, and the specific elastic modulus of the skin is conveniently and reliably measured.
It should be noted that, in the present disclosure, the method for detecting the specific elastic modulus of soft tissue such as skin by using the quality factor of the micro-nano resonator may be implemented by configuring a related program in a processing unit connected to the micro-nano resonator, and the processing unit may be, for example, a component of a resonant sensing device (e.g., a resonant sensing device integrated with a microprocessor), or may be an apparatus with a data processing function (e.g., a device with a microprocessor, a server, etc.) that has information interaction with the micro-nano resonator.
For example, fig. 2 shows a schematic diagram of a method of detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure. As shown in fig. 2, the processing unit can obtain an output signal of the micro-nano resonator in real time, and obtain a quality factor of the micro-nano resonator through frequency spectrum information carried in the signal, so that the specific elastic modulus of the soft tissue can be conveniently and accurately measured according to a linear proportional relation between the specific elastic modulus of the soft tissue and the quality factor.
In one possible implementation, the micro-nano resonator is attached to the soft tissue surface through a polydimethylsiloxane-based base.
In the embodiment of the present disclosure, in order to make the micro-nano resonator more fit with the soft tissue, the micro-nano resonator may be integrated on a Polydimethylsiloxane (PDMS) substrate, so that a more accurate measurement result of the specific elastic modulus of the soft tissue may be obtained.
For example, fig. 3 shows a scene schematic diagram of a method of detecting a specific elastic modulus of soft tissue according to an embodiment of the present disclosure; as shown in fig. 3, the micro-nano resonator is integrated on the PDMS substrate, and the resonator generates lateral vibration in the plane, and through the transmission of the support structures at the two ends, will generate a pulling pressure with resonance change on the skin surface, and generate a pressure wave dissipation in the skin. Further, the processing unit may obtain a spectrum curve of the resonator through an output signal of the resonator, thereby obtaining a specific elastic modulus of the skin according to the quality factor.
In a possible implementation manner, in step 20, the obtaining a quality factor of the micro-nano resonator according to the output signal includes: obtaining the resonance bandwidth and the resonance frequency of the micro-nano resonator according to the output signal; and obtaining the quality factor according to the resonance bandwidth and the resonance frequency.
Fig. 4 is a schematic diagram illustrating a relationship between a quality factor and a resonance bandwidth of a micro-nano resonator according to an embodiment of the disclosure, where in fig. 4, ω is0To the resonant frequency, EmaxTo amplitude, Δ f is the resonance bandwidth and the quality factor Q is equal to 2 pi x total mechanical energy of the resonator per energy lost in the vibration cycle. As shown in fig. 4, the relationship between the resonance bandwidth Δ f of the micro-nano resonator and the quality factor Q thereof is shown in the following formula (1):
in the formula, ω0For the resonant frequency, Δ f is the resonant bandwidth.
Therefore, after the resonance bandwidth and the resonance frequency of the resonator are measured through the output signal of the resonator, the quality factor of the micro-nano resonator can be obtained through the formula (1).
In a possible implementation manner, the length-thickness ratio of the micro-nano resonator is smaller than a preset threshold.
The main energy dissipation modes of the micro-nano resonator are considered as follows: support loss, thermoelastic damping and surface loss. The support loss refers to that shearing force and bending moment which change along with time are generated in a connecting area of the micro-nano resonator and a support structure when the micro-nano resonator vibrates, the shearing force and the bending moment are used as excitation sources and generate elastic waves, and partial mechanical energy of the resonator is transmitted to the support structure, so that the energy loss of the resonator is caused. The resonators mostly need to be placed on a certain support structure, so that support losses are always present.
In the embodiment of the present disclosure, the micro-nano resonator with a small length-thickness ratio (i.e., the length-thickness ratio is less than or equal to a preset threshold, for example, the preset threshold is 50) is used to connect with the skin tissue, and the support loss will play a dominant role in energy dissipation. Wherein the support loss-related quality factor Q can be represented by the following formula (2):
wherein L represents the length of the resonator, b represents the thickness of the resonator, and the resonator vibrates laterally in the thickness direction, and TrDenotes the specific modulus of elasticity, T, of the resonatorsDenotes the specific modulus of elasticity, ν, of the skinsRepresenting the poisson's ratio of the skin; psi is the coefficient of the infinite steel, gammanRepresenting the frequency coefficient, χ, of the resonator in different vibration modesnThe shape coefficient of the resonator under different vibration modes is shown, wherein n represents the nth order mode.
In one possible implementation manner, the micro-nano resonator is a cantilever-type micro-nano resonator and/or a bridge-type micro-nano resonator.
For the cantilever type resonator, the frequency coefficient γ in the above formula (2)nAnd shape factor χnAs shown in the following formula (3):
for the bridge resonator, the frequency coefficient γ in the above equation (2)nAnd shape factor χnAs shown in the following formula (4):
table 1 below shows the frequency coefficient γ of the first five-order vibration mode of the cantilever-type and bridge-type resonatorsnAnd shape factor χnThe numerical value of (c).
TABLE 1 frequency coefficient γnAnd the form factor χn
Ψ in the above equation (2) is represented by the following equation (5):
in the formula, cLIs indicative of the wave velocity of the pressure wave,
wherein E isSExpressing the Young's modulus, ρ, of the skinsIndicating skin density, vsRepresenting the poisson's ratio of the skin; c. CTThe wave velocity of the shear wave is represented,
wherein E isSExpressing the Young's modulus, ρ, of the skinsIndicating skin density, vsRepresenting the poisson's ratio of the skin.
Due to the wave velocity c of the pressure waveLWith shear wave velocity cTHas the following relationship:
it follows that Ψ is only the poisson's ratio v to skinsAnd (4) correlating.
Further, the above formula (2) can be expressed in the form shown by the following formula (6):
wherein Q represents the quality factor of the resonator, L represents the length of the resonator, b represents the thickness of the resonator, and T represents the thickness of the resonatorrDenotes the specific elastic modulus (i.e., elastic modulus per unit density), T, of the resonatorsDenotes the specific modulus of elasticity, ν, of the skinsRepresenting the poisson's ratio of the skin; gamma raynRepresenting the frequency coefficient, χ, of the resonator in different vibration modesnRepresenting the shape coefficient of the resonator under different vibration modes, wherein n represents the nth-order mode;
representing parameters related to the length-to-thickness ratio of the resonator, the order of vibration, and the poisson's ratio of the skin.
In one possible implementation manner, in step 30, the obtaining a specific elastic modulus of the soft tissue according to the quality factor includes: and obtaining the specific elastic modulus of the soft tissue according to the material, the length-thickness ratio, the Poisson's ratio of the soft tissue and the quality factor of the micro-nano resonator.
Further, from the above formula (6), the specific elastic modulus T of the skinsCan be expressed in the form shown in the following formula (7):
wherein Q represents the quality factor of the resonator, TrThe specific elastic modulus of the resonator is expressed,
representing parameters related to the length-to-thickness ratio of the resonator, the order of vibration, and the poisson's ratio of the skin.
It can be seen that, when the material and length-thickness ratio of the resonator are determined and the poisson's ratio of the skin is assumed to be a constant value (i.e., the parameter in the above equation (7))
And TrIs determined), the specific elastic modulus T of the skinsIs linearly proportional to the quality factor Q of the resonator. Therefore, the quality factor Q of the micro-nano resonator obtained in the formula (1) can be substituted into the formula (7), and the specific elastic modulus of the skin can be obtained.
It should be noted that, although the method for detecting the specific elastic modulus of the soft tissue is described above by taking the above-mentioned embodiment as an example, it can be understood by those skilled in the art that the present disclosure should not be limited thereto. In fact, the user can flexibly set each implementation mode according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.
In this way, in the embodiment of the disclosure, the relationship between the specific elastic modulus of the soft tissue and the quality factor of the micro-nano resonator is found through research, so that the specific elastic modulus of the soft tissue is reversely deduced by using the quality factor of the micro-nano resonator attached to the surface of the soft tissue; the detection of the elastic modulus of the soft tissue can be realized under the real environment of a human body, the measurement is convenient and reliable, and the result accuracy is high.
Fig. 5 shows a block diagram of an apparatus for detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure. As shown in fig. 5, the apparatus may include: an output signal obtaining module 41, configured to obtain an output signal of a micro-nano resonator, where the micro-nano resonator is attached to a soft tissue surface; a quality factor obtaining module 42, configured to obtain a quality factor of the micro-nano resonator according to the output signal; a specific elastic modulus detection module 43, configured to obtain a specific elastic modulus of the soft tissue according to the quality factor; wherein the specific elastic modulus is in linear proportional relation with the quality factor.
In a possible implementation manner, the specific elastic modulus detection module 43 is specifically configured to: and obtaining the specific elastic modulus of the soft tissue according to the material, the length-thickness ratio, the Poisson's ratio of the soft tissue and the quality factor of the micro-nano resonator.
In a possible implementation manner, the quality factor obtaining module 42 is specifically configured to: obtaining the resonance bandwidth and the resonance frequency of the micro-nano resonator according to the output signal; and obtaining the quality factor according to the resonance bandwidth and the resonance frequency.
In one possible implementation manner, the micro-nano resonator is a cantilever-type micro-nano resonator and/or a bridge-type micro-nano resonator.
In a possible implementation manner, the length-thickness ratio of the micro-nano resonator is smaller than a preset threshold.
In one possible implementation, the micro-nano resonator is attached to the soft tissue surface through a polydimethylsiloxane-based base.
It should be noted that, although the above embodiments are described as examples of the device for detecting the specific elastic modulus of soft tissue, those skilled in the art will understand that the disclosure should not be limited thereto. In fact, the user can flexibly set each implementation mode according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.
In this way, in the embodiment of the disclosure, the relationship between the specific elastic modulus of the soft tissue and the quality factor of the micro-nano resonator is found through research, so that the specific elastic modulus of the soft tissue is reversely deduced by using the quality factor of the micro-nano resonator attached to the surface of the soft tissue; the detection of the elastic modulus of the soft tissue can be realized under the real environment of a human body, the measurement is convenient and reliable, and the result accuracy is high.
Fig. 6 shows a block diagram of an apparatus 1900 for detecting specific elastic modulus of soft tissue according to an embodiment of the present disclosure. For example, the apparatus 1900 may be provided as a server. Referring to FIG. 6, the device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the apparatus 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (9)
1. A method of detecting the specific elastic modulus of soft tissue, comprising:
acquiring an output signal of a micro-nano resonator, wherein the micro-nano resonator is attached to the surface of a soft tissue; the length-thickness ratio of the micro-nano resonator is smaller than a preset threshold;
obtaining a quality factor of the micro-nano resonator according to the output signal;
obtaining the specific elastic modulus of the soft tissue according to the quality factor; wherein the specific elastic modulus is in linear proportional relation with the quality factor;
specific modulus of elasticity T of soft tissuesExpressed in the form shown below:
wherein Q represents the quality factor of the micro-nano resonator, TrThe specific elastic modulus of the micro-nano resonator is shown,
representing parameters related to the length-thickness ratio, the vibration order and the Poisson ratio of soft tissues of the micro-nano resonator;
wherein the content of the first and second substances,
l represents the length of the micro-nano resonator, b represents the thickness of the micro-nano resonator, and the micro-nano resonator does transverse vibration along the thickness direction, vsRepresenting the poisson's ratio of soft tissue; psi is the coefficient of the infinite steel, gammanShows the frequency coefficient, chi, of the micro-nano resonator under different vibration modesnAnd the shape coefficients of the micro-nano resonator under different vibration modes are shown, wherein n represents the nth-order mode.
2. The method of claim 1, wherein said deriving a specific elastic modulus of said soft tissue from said quality factor comprises:
and obtaining the specific elastic modulus of the soft tissue according to the material, the length-thickness ratio, the Poisson's ratio of the soft tissue and the quality factor of the micro-nano resonator.
3. The method according to claim 1, wherein the obtaining a quality factor of the micro-nano resonator according to the output signal comprises:
obtaining the resonance bandwidth and the resonance frequency of the micro-nano resonator according to the output signal;
and obtaining the quality factor according to the resonance bandwidth and the resonance frequency.
4. The method according to claim 1, wherein the micro-nano resonator is a cantilever micro-nano resonator and/or a bridge micro-nano resonator.
5. The method according to any one of claims 1 to 4, wherein the micro-nano resonator is attached to the soft tissue surface through a polydimethylsiloxane-based base.
6. An apparatus for detecting specific elastic modulus of soft tissue, comprising:
the output signal acquisition module is used for acquiring the output signal of the micro-nano resonator, and the micro-nano resonator is attached to the surface of soft tissue; the length-thickness ratio of the micro-nano resonator is smaller than a preset threshold;
the quality factor acquisition module is used for acquiring the quality factor of the micro-nano resonator according to the output signal;
the specific elastic modulus detection module is used for obtaining the specific elastic modulus of the soft tissue according to the quality factor; wherein the specific elastic modulus is in linear proportional relation with the quality factor;
specific modulus of elasticity T of soft tissuesShown in the following shapesFormula (II):
wherein Q represents the quality factor of the micro-nano resonator, TrThe specific elastic modulus of the micro-nano resonator is shown,
representing parameters related to the length-thickness ratio, the vibration order and the Poisson ratio of soft tissues of the micro-nano resonator;
wherein the content of the first and second substances,
l represents the length of the micro-nano resonator, b represents the thickness of the micro-nano resonator, and the micro-nano resonator does transverse vibration along the thickness direction, vsRepresenting the poisson's ratio of soft tissue; psi is the coefficient of the infinite steel, gammanShows the frequency coefficient, chi, of the micro-nano resonator under different vibration modesnAnd the shape coefficients of the micro-nano resonator under different vibration modes are shown, wherein n represents the nth-order mode.
7. The apparatus according to claim 6, wherein the specific elastic modulus detection module is specifically configured to: and obtaining the specific elastic modulus of the soft tissue according to the material, the length-thickness ratio, the Poisson's ratio of the soft tissue and the quality factor of the micro-nano resonator.
8. An apparatus for detecting specific elastic modulus of soft tissue, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the method of any one of claims 1 to 5 when executing the memory-stored executable instructions.
9. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 5.
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| CN202010270689.5A CN111488680B (en) | 2020-04-08 | 2020-04-08 | Method and device for detecting specific elastic modulus of soft tissue |
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