CN111743569B - Instrument testing method, device and equipment - Google Patents
Instrument testing method, device and equipment Download PDFInfo
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- CN111743569B CN111743569B CN201910245324.4A CN201910245324A CN111743569B CN 111743569 B CN111743569 B CN 111743569B CN 201910245324 A CN201910245324 A CN 201910245324A CN 111743569 B CN111743569 B CN 111743569B
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Abstract
The invention provides an instrument testing method, an instrument testing device and instrument testing equipment. The method comprises the following steps: obtaining a plurality of first measurement values obtained by the instrument through carrying out a plurality of measurements of a certain physical index on the same region of a simulated tissue phantom with a specific nominal value; determining a degree of dispersion of the plurality of first measurements; and determining the repeatability measurement accuracy of the instrument according to the discrete degree of the first measurement value.
Description
Technical Field
The present invention relates to the field of ultrasound imaging technologies, and in particular, to an instrument testing method, an instrument testing device, and an instrument testing apparatus.
Background
Ultrasound imaging techniques can be used to measure the physical properties of organs such as the liver, thereby reflecting the health of the organ. For example, whether or not there is a health problem such as cirrhosis and fatty liver can be determined by measuring indices such as an elasticity value and a sound attenuation value of the liver.
For an ultrasound image instrument, the measurement capability of the instrument can be tested by means of a tissue phantom (called a tissue phantom for short). For example, the instrument is used to measure the elasticity of the phantom and calculate its difference from a nominal value of the elasticity of the phantom, thereby determining the accuracy of the measurement of the elasticity by the instrument. However, due to factory errors, changes during storage and the like, the nominal value and the true value of the physical index of the tissue phantom are inconsistent, thereby affecting the measurement capability test of the instrument. Therefore, how to reasonably and effectively test the measurement capability of the ultrasonic imaging instrument becomes a problem to be solved.
Disclosure of Invention
An object of the embodiments of the present invention is to provide a new technical solution for instrument testing.
According to a first aspect of the present invention, there is provided an instrument testing method for measuring one or more physical indicators of an elastic medium, the method comprising:
obtaining a plurality of first measurement values obtained by the instrument through carrying out a plurality of measurements of a certain physical index on the same region of a simulated tissue phantom with a specific nominal value;
determining a degree of dispersion of the plurality of first measurements;
and determining the repeatability measurement accuracy of the instrument according to the discrete degree of the first measurement value.
The multiple measurements are the multiple measurements of a certain physical index of the same area of a simulated tissue phantom in a mode that the instrument is separated after being contacted with the simulated tissue phantom for measurement.
Optionally, the method further comprises:
determining whether a nominal value of a certain physical index of a simulated tissue phantom is smaller than a first preset value, acquiring a second measurement value obtained by the instrument through measuring the physical index of the simulated tissue phantom under the condition that the nominal value is smaller than the first preset value, and determining the absolute deviation of the second measurement value relative to the nominal value;
determining whether a nominal value of a certain physical index of a simulated tissue phantom is larger than a second preset value, acquiring a third measured value obtained by the instrument measuring the physical index of the simulated tissue phantom under the condition that the nominal value is larger than the second preset value, and determining the relative deviation of the third measured value relative to the nominal value;
optionally, the method further comprises:
obtaining a plurality of fourth measurement values obtained by measuring a certain physical index of a plurality of tissue-mimicking phantoms with different nominal values by the instrument, wherein the fourth measurement values correspond to the nominal values one to one;
determining a degree of correlation of the fourth measurement value with the nominal value;
and determining the measurement accuracy of the instrument according to the correlation degree of the fourth measurement value changing along with the nominal value.
Optionally, the obtaining the degree of dispersion of the plurality of first measurement values includes:
by relative standard deviation of the plurality of first measurements
Determining the degree of dispersion, the relative standard deviation
Calculated by the following way:
wherein n is the total number of measurements, xiIs a first measured value corresponding to the ith (i is more than or equal to 1 and less than or equal to n, and i is an integer) measurement, and mu is the whole xiC is the nominal value of the physical index of the simulated tissue phantom.
Optionally, the obtaining a correlation degree of the fourth measurement value with the change of the nominal value includes:
by the correlation coefficient R of the fourth measured value with the nominal value or the square R of the correlation coefficient of the fourth measured value with the nominal value2Determining the degree of correlation, wherein the correlation coefficient R is calculated by:
wherein X is the fourth measurement value, Y is the nominal value, Cov (X, Y) is the covariance of the fourth measurement value and the nominal value, Var [ X ] is the variance of the fourth measurement value, and Var [ Y ] is the variance of the nominal value.
Optionally, obtaining a plurality of fourth measurement values obtained by the instrument by performing a certain physical index measurement on a plurality of tissue phantom mimics having different nominal values comprises:
for each nominal value, obtaining a plurality of fifth measurement values obtained by measuring a plurality of regions of the simulated tissue phantom having the nominal value, wherein the fifth measurement values correspond to the regions one to one;
determining the fourth measurement value based on the fifth measurement value.
Optionally, the physical indicator is an elasticity or acoustic attenuation value.
According to a second aspect of the present invention, there is provided an instrument testing device comprising: the device comprises a receiving module, a first processing module and a second processing module;
the receiving module is used for acquiring a plurality of first measurement values obtained by the instrument through a plurality of measurements of a certain physical index on the same region of a tissue-imitated phantom with a specific nominal value;
the first processing module is used for determining the discrete degree of the plurality of first measurement values;
the second processing module is used for determining the repeatability measurement accuracy of the instrument according to the discrete degree of the first measurement value.
According to a third aspect of the present invention there is provided an instrument testing device comprising an instrument testing apparatus according to the second aspect of the present invention; alternatively, the instrument testing device comprises:
a processor for storing executable commands;
a processor for performing the method according to any one of the first aspect of the invention under control of the executable command.
One beneficial effect of the invention is that: in the instrument measurement method in the embodiment, the repeatability measurement precision of the instrument is determined by obtaining the discrete degree of the result obtained by measuring the same region of the same tissue phantom for multiple times by the instrument, so that the influence of the inconsistency of the nominal value and the true value of the physical index of the tissue phantom on the test result can be eliminated, and the measurement capability of the ultrasonic image instrument can be reasonably and effectively tested.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a schematic diagram of a hardware configuration that may be used to implement an embodiment of the invention.
FIG. 2 is a schematic diagram of a configuration of an instrument test device that may be used to implement the present invention.
Fig. 3 is a flowchart of an instrument testing method according to a first embodiment of the invention.
Fig. 4 is a schematic structural diagram of an apparatus testing device 400 according to a fifth embodiment of the present invention.
Fig. 5 is a schematic structural diagram of an instrument testing device 500 according to a sixth embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
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, further discussion thereof is not required in subsequent figures.
< hardware configuration >
Fig. 1 shows a schematic diagram of a hardware device for instrument testing in the present embodiment.
As shown in fig. 1, the hardware devices in this embodiment include an instrument testing device 100, an ultrasound imaging instrument 200, and a phantom 300.
The ultrasound imaging apparatus 200 is used to measure an organ or the like by an ultrasound imaging technique, for example, and obtain physical indexes such as elasticity and acoustic attenuation values, thereby reflecting the health condition of the organ. The ultrasonic imaging apparatus 200 is provided with a probe 201. Different detection positions and detection areas can be selected by moving the probe 201.
The phantom (phantom) 400 is, for example, a passive device composed of an ultrasound elastic phantom material in various ways for detecting the measurement capability of an ultrasound imaging instrument. The tissue phantom 400 can provide a standardized detection object for the test of an ultrasonic imaging instrument, and is beneficial to quantitative analysis of the measurement capability of the instrument.
The instrument test apparatus 100 is used, for example, to test the measurement capabilities of the ultrasound imaging instrument 200 to control instrument quality. As shown in fig. 2, the instrument test apparatus 100 includes, for example, a processor 101, a memory 102, a communication device 103, and a display device 104.
The processor 101 is, for example, a central processing unit CPU, a microprocessor MCU, or the like. The memory 102 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The communication device 103 can perform wired communication or wireless communication, for example. Display device 1040 may be used, for example, to display text or image information.
In the present embodiment, the apparatus testing device 100 and the ultrasound imaging apparatus 200 are linked by a connection line 300 to realize data transmission.
The hardware configuration shown in FIG. 1 is illustrative only and is not intended to limit the present invention, its application, or uses in any way.
< example one >
The embodiment provides an instrument testing method for determining the repeatability measurement accuracy of an ultrasonic imaging instrument. Accuracy here refers to, for example, the consistency of the results obtained from multiple repeated measurements. The accuracy of an ultrasonic imaging instrument can reflect the measurement capability of the instrument.
The method is implemented, for example, by the instrument test equipment 100 in fig. 1. As shown in FIG. 3, the method includes the following steps S3100-S3300.
Step S3100: the acquisition instrument obtains a plurality of first measurements obtained by making a plurality of measurements of a physical indicator of the same region of a phantom of tissue having a specified nominal value.
The physical index is, for example, a physical quantity measured by an instrument, such as elasticity, an acoustic attenuation value, or the like.
Generally speaking, there may be differences in the actual values of the physical indicators for different regions of the same phantom. To eliminate the effect of this difference, the instrument in this example measures the same region of the same phantom to obtain a corresponding first measurement. In order to ensure that the multiple measurements are directed at the same region, a mode of keeping the position, the angle, the detection depth and other parameters of the probe relative to the surface of the tissue phantom in the multiple measurements unchanged can be adopted.
For example, in figure 1, a plurality of first measurements are made by placing the probe 201 vertically at position a on the surface of the phantom 400 at each measurement and selecting the same measurement depth.
In particular, it is desirable that the multiple measurements of position a be made by the instrument in a manner that disengages after contact with the phantom.
The instrument test device obtains a plurality of first measurement values measured by the instrument, for example, by way of wired or wireless communication. For example, in fig. 1, the apparatus testing device 100 obtains a plurality of first measurement values measured by the ultrasound imaging apparatus 200 through the connection line 300.
Step S3200: a degree of dispersion of the plurality of first measurements is determined.
For the plurality of first measurement values acquired in step S3100, the dispersion degree thereof can reflect the difference between the respective values, and further reflect the consistency of the results obtained by repeated measurements of the apparatus under the same conditions, i.e., the repeated measurement accuracy of the ultrasound imaging apparatus.
In one embodiment, the degree of dispersion of the first measurements is determined by relative standard deviation
To be determined.
Relative Standard Deviation (SD)
Calculated by the following way:
wherein n is the total number of measurements, xiIs a first measured value corresponding to the ith (i is more than or equal to 1 and less than or equal to n, and i is an integer) measurement, and mu is the whole xiC is the nominal value of the physical index of the simulated tissue phantom. In the above formula
Is a whole body xiStandard deviation of (2).
For example, a simulated tissue phantom having a nominal elastic value of 3kPa was measured over the same area, and the results of the various measurements are shown in table 1:
| number of measurements i | 1 | 2 | 3 | 4 |
| The i-th measured elasticity value (kPa) | 3.1 | 2.8 | 2.9 | 2.7 |
TABLE 1
The standard deviation of the elasticity measurement was calculated from the above data to be 0.17. The relative standard deviation of the elasticity measurement is obtained in combination with a nominal elasticity value of 3kPa
By calculating the relative standard deviation, the influence of the elastic value on the absolute value of the deviation can be reduced, so that the test result is more reasonable.
Step S3300: and determining the repeatability measurement accuracy of the instrument according to the discrete degree of the first measurement value.
Through means of experimental analysis and the like, a condition which the discrete degree of the first measurement value should meet can be obtained, and therefore, how accurate the measurement of the instrument is can be determined.
For example, assuming that the relative standard deviation of the measurement results obtained by the instrument measuring the same area for a plurality of times does not exceed 0.1, the measurement requirement can be satisfied in the previous example
The accuracy of the repeated measurements of the instrumentation being tested in the previous examples is therefore satisfactory.
In the instrument measurement method in the embodiment, the repeatability measurement precision of the instrument is determined by obtaining the discrete degree of the result obtained by measuring the same region of the same tissue phantom for multiple times by the instrument, so that the influence of the inconsistency of the nominal value and the true value of the physical index of the tissue phantom on the test result can be eliminated, and the measurement capability of the ultrasonic image instrument can be reasonably and effectively tested.
< example two >
The embodiment provides an instrument testing method, and on the basis of the method in the first embodiment, the accuracy of instrument measurement is also tested. The measurement accuracy here refers, for example, to the agreement between the measured value of the physical indicator and the actual value of the physical indicator of the phantom mimicking the tissue.
The method is implemented, for example, by the instrument test equipment 100 in fig. 1. The method includes the following steps S4100-S4600.
Step S4100: the acquisition instrument obtains a plurality of first measurements obtained by making a plurality of measurements of a physical indicator of the same region of a phantom of tissue having a specified nominal value.
Step S4200: a degree of dispersion of the plurality of first measurements is determined.
Step S4300: and determining the repeatability measurement accuracy of the instrument according to the discrete degree of the first measurement value.
The implementation of the above steps S4100-S4300 may refer to the description of the steps S3100-S3300 in the first embodiment, and will not be described herein again.
Step S4400: and the acquisition instrument acquires a plurality of fourth measurement values obtained by measuring a certain physical index of a plurality of tissue-imitating body models with different nominal values, wherein the fourth measurement values correspond to the nominal values one to one.
Similarly, in step S4400, each nominal value has a unique fourth measured value corresponding thereto, and each fourth measured value has a unique nominal value corresponding thereto.
In this embodiment, a plurality of fourth measurement values are obtained by measuring a plurality of tissue phantom mimics having different nominal values of the physical indicator. For example, the elasticity measurements for each of the tissue phantom mimics are obtained by measuring four tissue phantom mimics having nominal elasticity values of 3kPa, 12kPa, 23kPa, and 41kPa, respectively.
Step S4500: a degree of correlation of the fourth measurement value with the nominal value is determined.
For the plurality of fourth measurement values obtained in step S4500, the degree of correlation between the plurality of fourth measurement values and the nominal value can reflect the consistency between the measurement result and the actual value of the physical index, that is, the measurement accuracy of the instrument.
In a specific embodiment of the present invention, the degree of correlation between the fourth measurement value and the nominal value is determined by a correlation coefficient R between the fourth measurement value and the nominal value.
The correlation coefficient R can be calculated by:
wherein X is the fourth measurement value, Y is the nominal value, Cov (X, Y) is the covariance of the fourth measurement value and the nominal value, Var [ X ] is the variance of the fourth measurement value, and Var [ Y ] is the variance of the nominal value.
For example, the fourth measurement values obtained by performing elasticity measurements on four tissue phantom models having the aforementioned nominal elasticity values of 3kPa, 12kPa, 23kPa, and 41kPa are shown in table 2:
| nominal value of elasticity (kPa) | 3 | 12 | 23 | 41 |
| Fourth measurement value (kPa) | 2.8 | 11.4 | 22.5 | 41.5 |
TABLE 2
Calculating the variance of the fourth measurement value to 209.3725, the variance of the elastic nominal value to 200.6875, and the covariance of the fourth measurement value and the nominal valueThe variance is 204.9375, so the correlation coefficient between the fourth measurement and the nominal value
Square of correlation coefficient R2＝0.9995。
It should be noted that, in this embodiment, the number of elastic nominal values used for calculation is at least three.
Step S4600: and determining the measurement accuracy of the instrument according to the correlation degree of the fourth measurement value along with the change of the nominal value.
Through means such as experimental analysis, the condition that the correlation degree of the fourth measurement value changing along with the nominal value should meet can be obtained, and accordingly, the measurement accuracy of the instrument is determined.
For example, it is assumed that in the test scenario where the elastic nominal values of the simulated tissue phantom are 3kPa, 12kPa, 23kPa, and 41kPa, respectively, the correlation coefficient of the fourth measurement value with the nominal value exceeds 0.99, and in the foregoing example, the correlation coefficient R is 0.9995 and exceeds 0.99, so that the measurement accuracy of the detected instrument in the foregoing example meets the requirement.
The instrument measurement method in the embodiment can generate the technical effect in the first embodiment, and can also determine the measurement accuracy of the instrument according to the correlation degree of the measurement value of the physical index changing along with the change of the nominal value, so that compared with a mode of simply comparing the deviation between the measurement value and the nominal value, the influence caused by the inconsistency of the nominal value and the true value of the physical index of the simulated tissue phantom can be reduced. For example, for the case that the tissue phantom is changed in the preservation link, the preservation environment is the same, and the index change trends of different tissue phantoms are the same, so that the test method in this embodiment can reduce the influence caused by the change.
In a specific embodiment of this embodiment, the instrument obtains a plurality of fourth measurement values obtained by measuring physical indexes of a plurality of tissue phantom mimics having different nominal values of the physical indexes by:
and acquiring a plurality of fifth measurement values obtained by measuring a plurality of regions of the tissue phantom with the nominal values for each nominal value of the physical index, wherein the fifth measurement values correspond to the measurement regions of the tissue phantom one by one. For example, in fig. 1, the probe 201 is placed at the position A, B, C and the measurement distance is kept constant, and the elasticity value of the corresponding region at each position is measured to obtain a fifth measurement value.
From the fifth measurement, a fourth measurement is determined. For example, the fifth measurement corresponding to position A, B, C in FIG. 1 is averaged to provide the fourth measurement of the elasticity of the phantom mimicking the tissue in FIG. 1.
The physical index measurement value of the tissue-imitated body model is determined according to the physical index measurement values of different areas, so that the influence caused by nonuniform distribution of tissue-imitated body model indexes on the space can be reduced.
< example three >
The embodiment provides an instrument testing method, and on the basis of the method in the first embodiment, the accuracy of instrument measurement is also tested. The measurement accuracy here refers, for example, to the agreement between the measured value of the physical indicator and the actual value of the physical indicator of the phantom mimicking the tissue. In the embodiment, the measurement accuracy of the instrument is tested by combining different ranges of the nominal values of the physical indexes of the simulated tissue phantom, so that the measurement capability of the instrument is comprehensively and reasonably determined.
The method is implemented, for example, by the instrument test equipment 100 in fig. 1. The method includes the following steps S5100-S5600.
Step S5100: the acquisition instrument obtains a plurality of first measurements obtained by making a plurality of measurements of a physical indicator of the same region of a phantom of tissue having a specified nominal value.
Step S5200: a degree of dispersion of the plurality of first measurements is determined.
Step S5300: and determining the repeatability measurement accuracy of the instrument according to the discrete degree of the first measurement value.
The implementation of the above steps S5100 to S5300 can refer to the description of the steps S3100 to S3300 in the first embodiment, and will not be described herein again.
Step S5400: determining whether a nominal value of a certain physical index of a simulated tissue phantom is smaller than a first preset value, acquiring a second measured value obtained by measuring the physical index of the simulated tissue phantom by an instrument under the condition that the nominal value is smaller than the first preset value, and determining the absolute deviation of the second measured value relative to the nominal value.
In this step, the nominal value of the physical index of the tissue phantom is compared with a first preset value to determine whether the nominal value is smaller than the first preset value. For example, when the physical indicator is elasticity, a tissue phantom having a first predetermined value of 7kPa and an elasticity value of less than 7kPa, such as 6kPa, can represent a normally elastic liver.
The second measurement is, for example, an elasticity value of 5.8kPa measured on a mock tissue phantom having the aforementioned nominal value of 6 kPa.
The absolute deviation of the second measurement value from the nominal value of the physical indicator of the phantom is, for example, the absolute value of the difference between the two. In the foregoing example, the absolute deviation of the fourth measurement from the nominal value of the physical index of the phantom was 0.2kPa with 5.8-6.
Step S5500: and determining whether the nominal value of a certain physical index of the simulated tissue phantom is larger than a second preset value, acquiring a third measured value obtained by measuring the physical index of the simulated tissue phantom by the instrument under the condition that the nominal value is larger than the second preset value, and determining the relative deviation of the third measured value relative to the nominal value.
In this step, the nominal value of the physical index of the tissue phantom is compared with a second preset value, and whether the nominal value is larger than the second preset value is determined. For example, when the physical indicator is elasticity, a simulated tissue phantom having a second predetermined value of 10kPa and an elasticity value of a nominal value greater than 10kPa, such as 20kPa, can represent a liver with cirrhosis.
The third measurement is, for example, an elasticity value of 22kPa as measured on a simulated tissue phantom of nominal 20kPa in the previous example.
The relative deviation of the third measurement value from the nominal value of the physical indicator of the phantom is, for example, the quotient of the absolute value of the difference between the two and the nominal value of the physical indicator of the phantom. In the foregoing example, the relative deviation of the third measurement value from the nominal value of the physical indicator of the phantom is
Step S5600: and determining the measurement accuracy of the instrument according to the absolute deviation and the relative deviation.
Through means such as experimental analysis, the conditions that the absolute deviation and the relative deviation should satisfy can be obtained, and how accurate the measurement of the instrument is determined according to the conditions.
For example, it is assumed that the absolute deviation needs to be not more than 0.5kPa for the measurement result in the case where the nominal value is smaller than the first preset value to satisfy the measurement requirement, and that the relative deviation needs to be not more than 5% for the measurement result in the case where the nominal value is larger than the second preset value to satisfy the requirement. In the foregoing example, the absolute deviation of 0.2kPa is satisfactory in the case where the nominal value is smaller than the first preset value, but the relative deviation of 10% is unsatisfactory in the case where the nominal value is larger than the second preset value, and therefore the measurement accuracy of the instrument under test is unsatisfactory.
The instrument testing method in the embodiment can achieve the technical effect of the first embodiment, and also comprehensively and reasonably reflect the overall measuring accuracy of the instrument by combining the measuring accuracy of the instrument tested in different ranges simulating the nominal value of the physical index of the tissue phantom.
< example four >
The embodiment provides an instrument testing method, and on the basis of the second embodiment and the third embodiment, the measurement accuracy of the instrument is determined according to the correlation degree, the absolute deviation and the relative deviation. For a specific implementation, reference may be made to the description of the instrument testing method in the second embodiment and the third embodiment, which are not described herein again.
< example five >
As shown in fig. 4, the present embodiment provides an instrument test device 400. The instrument testing device 400 includes: a receiving module 410, a first processing module 420, and a second processing module 430;
the receiving module 410 is used for obtaining a plurality of first measurement values obtained by the instrument through a plurality of measurements of a certain physical index on the same region of a tissue phantom with a specific nominal value;
the first processing module 420 is configured to determine a degree of dispersion of the plurality of first measurement values;
the second processing module 430 is used for determining the repeatability measurement accuracy of the instrument according to the discrete degree of the first measurement value.
For specific functions of each module, reference may be made to the description of the method in the first embodiment, and details are not described here.
< example six >
The present embodiment provides an instrument test apparatus, including the instrument test device in the fifth embodiment; alternatively, the instrument test device is the instrument test device 500 shown in fig. 5, including:
a memory 510 for storing executable commands.
A processor 520, configured to execute any one of the methods according to embodiments one to four under the control of the executable command.
It should be noted that, in the foregoing embodiments, elasticity is taken as a physical index, and when the physical index is another index, for example, a sound attenuation value, the implementation of the method in the foregoing embodiments is the same as that when the physical index is elasticity, and details thereof are not repeated.
The present invention may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.
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 invention 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, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention 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 invention. 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 invention. 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. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are equivalent.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. 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 terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.
Claims (9)
1. An instrument testing method for measuring one or more physical indicators of an elastic medium, the method comprising:
obtaining a plurality of first measurement values obtained by the instrument through carrying out a plurality of measurements of a certain physical index on the same region of a simulated tissue phantom with a specific nominal value;
determining a degree of dispersion of the plurality of first measurements;
determining a repeatability measurement accuracy of the instrument based on the degree of dispersion of the first measurement,
wherein the method further comprises:
determining whether a nominal value of a certain physical index of a simulated tissue phantom is smaller than a first preset value, acquiring a second measurement value obtained by the instrument through measuring the physical index of the simulated tissue phantom under the condition that the nominal value is smaller than the first preset value, and determining the absolute deviation of the second measurement value relative to the nominal value;
determining whether a nominal value of a certain physical index of a simulated tissue phantom is larger than a second preset value, acquiring a third measured value obtained by the instrument measuring the physical index of the simulated tissue phantom under the condition that the nominal value is larger than the second preset value, and determining the relative deviation of the third measured value relative to the nominal value;
and determining the measurement accuracy of the instrument according to the absolute deviation and the relative deviation.
2. The method of claim 1, wherein the plurality of measurements are measurements of a physical indicator of the same area of a phantom taken by the instrument as detached after the contact with the phantom.
3. The method according to claim 1 or 2, wherein the method further comprises:
obtaining a plurality of fourth measurement values obtained by measuring a certain physical index of a plurality of tissue-mimicking phantoms with different nominal values by the instrument, wherein the fourth measurement values correspond to the nominal values one to one;
determining a degree of correlation of the fourth measurement value with the nominal value;
and determining the measurement accuracy of the instrument according to the correlation degree of the fourth measurement value changing along with the nominal value.
4. The method of claim 1, wherein said obtaining a degree of dispersion of said plurality of first measurements comprises:
by relative standard deviation of the plurality of first measurements
Determining the degree of dispersion, the relative standard deviation
Calculated by the following way:
wherein n is the total number of measurements, xiIs a first measured value corresponding to the ith (i is more than or equal to 1 and less than or equal to n, and i is an integer) measurement, and mu is the whole xiC is the nominal value of the physical index of the simulated tissue phantom.
5. The method of claim 3, wherein said obtaining a degree of correlation of said fourth measurement value as a function of said nominal value comprises:
by the correlation coefficient R of the fourth measured value with the nominal value or the square R of the correlation coefficient of the fourth measured value with the nominal value2Determining the degree of correlation, wherein the correlation coefficient R is calculated by:
wherein X is the fourth measurement value, Y is the nominal value, Cov (X, Y) is the covariance of the fourth measurement value and the nominal value, Var [ X ] is the variance of the fourth measurement value, and Var [ Y ] is the variance of the nominal value.
6. The method of claim 3, wherein obtaining a plurality of fourth measurements of the instrument from a physical index measurement on a plurality of simulated tissue phantoms having different nominal values comprises:
for each nominal value, acquiring a plurality of fifth measurement values obtained by measuring a plurality of regions of the simulated tissue phantom with the nominal value by the instrument, wherein the fifth measurement values correspond to the regions one to one;
determining the fourth measurement value based on the fifth measurement value.
7. The method according to any one of claims 1-6, wherein the physical indicator is an elasticity or acoustic attenuation value of an elastic medium.
8. An instrument testing device comprising: the device comprises a receiving module, a first processing module and a second processing module;
the receiving module is used for acquiring a plurality of first measurement values obtained by the instrument through a plurality of measurements of a certain physical index on the same region of a tissue-imitated phantom with a specific nominal value;
the first processing module is used for determining the discrete degree of the plurality of first measurement values;
the second processing module is used for determining the repeatability measurement precision of the instrument according to the discrete degree of the first measurement value,
wherein the instrument testing device is further configured to:
determining whether a nominal value of a certain physical index of a simulated tissue phantom is smaller than a first preset value, acquiring a second measurement value obtained by the instrument through measuring the physical index of the simulated tissue phantom under the condition that the nominal value is smaller than the first preset value, and determining the absolute deviation of the second measurement value relative to the nominal value;
determining whether a nominal value of a certain physical index of a simulated tissue phantom is larger than a second preset value, acquiring a third measured value obtained by the instrument measuring the physical index of the simulated tissue phantom under the condition that the nominal value is larger than the second preset value, and determining the relative deviation of the third measured value relative to the nominal value;
and determining the measurement accuracy of the instrument according to the absolute deviation and the relative deviation.
9. An instrument testing device comprising the instrument testing apparatus of claim 8; alternatively, the instrument testing device comprises:
a processor for storing executable commands;
a processor for performing the method of any one of claims 1-7 under the control of the executable command.
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| CN201910245324.4A CN111743569B (en) | 2019-03-28 | 2019-03-28 | Instrument testing method, device and equipment |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1837743A (en) * | 2005-03-25 | 2006-09-27 | 鸿富锦精密工业（深圳）有限公司 | Method for verifying scanning accuracy of laser measurement platform |
| CN101655344A (en) * | 2008-08-18 | 2010-02-24 | 北京航天计量测试技术研究所 | Method for calibrating spatial coordinate measuring system of electronic theodolite |
| CN101903773A (en) * | 2007-12-20 | 2010-12-01 | 艾罗克林有限公司 | Method for testing the function of a device |
| CN105843870A (en) * | 2016-03-17 | 2016-08-10 | 南京地质矿产研究所 | Analysis method of repeatability and reproducibility and application thereof |
| CN106525108A (en) * | 2016-12-07 | 2017-03-22 | 深圳市蜂联科技有限公司 | Linear-fitting-algorithm-based method for correcting temperature and humidity precision of air box |
| CN107607672A (en) * | 2017-08-29 | 2018-01-19 | 广州海洋地质调查局 | A kind of underwater gas sensor calibrator (-ter) unit and calibration method |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5755228A (en) * | 1995-06-07 | 1998-05-26 | Hologic, Inc. | Equipment and method for calibration and quality assurance of an ultrasonic bone anaylsis apparatus |
| US6370480B1 (en) * | 1999-05-21 | 2002-04-09 | General Electric Company | Quantitative analysis system and method for certifying ultrasound medical imaging equipment |
| CN1723856A (en) * | 2005-07-11 | 2006-01-25 | 史念曾 | Ultrasonic testing tissue homogeneous degree, and attenuation calibration and quantitative analysis technique |
| US9585631B2 (en) * | 2010-06-01 | 2017-03-07 | The Trustees Of Columbia University In The City Of New York | Devices, methods, and systems for measuring elastic properties of biological tissues using acoustic force |
| CN101915821B (en) * | 2010-07-05 | 2015-04-22 | 中国电力科学研究院 | Check method and system of SF6 gas catabolite detecting instrument |
| CN103356241B (en) * | 2013-08-02 | 2015-08-19 | 中国十九冶集团有限公司职工医院 | Two-dimensional ultrasound equipment imaging quality assessment system |
| DE102014211034A1 (en) * | 2014-06-10 | 2015-12-17 | Siemens Aktiengesellschaft | Medical imaging device and method for a medical imaging device |
| CN106137256B (en) * | 2015-04-14 | 2019-07-12 | 深圳市隆煜盛科技有限公司 | Ultrasonic imaging performance test apparatus and method |
| CN104997533B (en) * | 2015-06-23 | 2017-11-14 | 武汉超信电子工程有限公司 | Ultrasonic probe geometric parameter auto-correction method and device |
| CN105433986B (en) * | 2016-02-01 | 2018-07-13 | 飞依诺科技(苏州)有限公司 | Automatic calibration method and system of ultrasonic equipment |
| CN107446293B (en) * | 2017-07-12 | 2019-05-10 | 无锡海斯凯尔医学技术有限公司 | A kind of ultrasound imitated NDVI and its preparation method and application |
-
2019
- 2019-03-28 CN CN201910245324.4A patent/CN111743569B/en active Active
-
2020
- 2020-03-09 WO PCT/CN2020/078440 patent/WO2020192403A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1837743A (en) * | 2005-03-25 | 2006-09-27 | 鸿富锦精密工业（深圳）有限公司 | Method for verifying scanning accuracy of laser measurement platform |
| CN101903773A (en) * | 2007-12-20 | 2010-12-01 | 艾罗克林有限公司 | Method for testing the function of a device |
| CN101655344A (en) * | 2008-08-18 | 2010-02-24 | 北京航天计量测试技术研究所 | Method for calibrating spatial coordinate measuring system of electronic theodolite |
| CN105843870A (en) * | 2016-03-17 | 2016-08-10 | 南京地质矿产研究所 | Analysis method of repeatability and reproducibility and application thereof |
| CN106525108A (en) * | 2016-12-07 | 2017-03-22 | 深圳市蜂联科技有限公司 | Linear-fitting-algorithm-based method for correcting temperature and humidity precision of air box |
| CN107607672A (en) * | 2017-08-29 | 2018-01-19 | 广州海洋地质调查局 | A kind of underwater gas sensor calibrator (-ter) unit and calibration method |
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