CN114757876A - Method and system for verifying measurement algorithm through synthesis parameters - Google Patents

Method and system for verifying measurement algorithm through synthesis parameters Download PDF

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CN114757876A
CN114757876A CN202210229113.3A CN202210229113A CN114757876A CN 114757876 A CN114757876 A CN 114757876A CN 202210229113 A CN202210229113 A CN 202210229113A CN 114757876 A CN114757876 A CN 114757876A
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陈革
蒋谟文
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Kangda Intercontinental Medical Devices Co ltd
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Abstract

The invention discloses a method for verifying a measurement algorithm through synthesis parameters, which relates to the technical field of image processing and comprises the following steps: generating a verification image containing a plurality of target physical quantities through algorithm development software; acquiring digital signal data of the converted verification image, and adding patient information and scanning visual field parameters into the digital signal data; converting the digital signal data into a synthetic image under the medical standard of the image according to the actual measurement of the target physical quantity and the scanning visual field parameter; extracting the measurement of each target physical quantity in the synthetic image through a target measurement algorithm; and obtaining the algorithm accuracy of the target measurement algorithm according to the measurement and the actual measurement of the corresponding target physical quantity. According to the method, the self-generation and conversion of the image are verified, and the comparison between the measurement and the actual measurement is utilized, so that a program source code of a target measurement algorithm does not need to be disclosed, the program source code can be better protected, and the equipment cost required by measurement can be greatly reduced.

Description

Method and system for verifying measurement algorithm through synthesis parameters
Technical Field
The invention relates to the technical field of image processing, in particular to a method and a system for performing measurement algorithm verification through synthesis parameters.
Background
At present, methods for extracting data from a magnetic resonance image mainly include frame selection of an ROI region in the image, and there are two methods for determining extraction accuracy based on the extraction method, that is, a white box inspection evaluation method and a black box inspection evaluation method. The white box evaluation method is that a professional evaluates the accuracy of an algorithm through program source code inspection. The black box evaluation has two modes, one is that a special phantom is used for testing, as shown in fig. 1, the measurement is carried out by drawing a ROI (region of interest) on a magnetic resonance image of a shape insert through a specific shape insert on a magnetic resonance scanning phantom, and the accuracy of the comparison evaluation is carried out on the measurement result and the design data of the phantom. Secondly, a plurality of test cases are developed, a test case exhaustion method is used for test evaluation, and after the test cases are finally integrated into the magnetic resonance system software, a water model is still needed for test evaluation.
However, the above evaluation methods have some drawbacks due to various limitations, and cannot achieve a good effect on economic effects and/or property protection, so a new evaluation method is needed to solve the problem.
Disclosure of Invention
Aiming at the defect that the prior art evaluates the measurement algorithm extracted from the ROI area in the magnetic resonance image, the invention provides a method for verifying the measurement algorithm through synthesis parameters, which comprises the following steps:
s1: generating a verification image containing a plurality of target physical quantities through algorithm development software;
s2: acquiring digital signal data of the converted verification image, and adding patient information and scanning visual field parameters into the digital signal data;
s3: converting the digital signal data into a synthetic image under the medical standard of the image according to the actual measurement of the target physical quantity and the scanning visual field parameter;
s4: extracting the measurement of each target physical quantity in the synthetic image through a target measurement algorithm;
s5: and obtaining the algorithm accuracy of the target measurement algorithm according to the measurement and the actual measurement of the corresponding target physical quantity.
Further, in the step S1, the target physical quantity includes one or more of length, angle, radian and area, and signal-to-noise ratio, uniformity, geometric distortion, spatial resolution, maximum value, minimum value, average value and standard deviation of the corresponding physical parameter.
Further, the digital signal data is raw data, and before the information is added in step S2, the method further includes the steps of:
The digital signal data is processed by normalization.
Further, the algorithm development software is Matlab, and the medical image standard is DICOM 3.0.
Further, in the step S3, the measurement of the target physical quantity in the synthesized image may be determined by the algorithm development software as follows:
Figure BDA0003539896120000021
in the formula, LmmIs an actual length measurement of the target physical quantity in mm, lpixelIs the length measurement of the target physical quantity in the composite image, and has the unit of pixel point number and FOVmmFor scanning the parameters of the field of view, in mm, WpixelThe unit is the pixel width of the synthesized image and the number of pixel points;
Figure BDA0003539896120000022
in the formula (I), the compound is shown in the specification,
Figure BDA0003539896120000023
is an actual area measurement of the target physical quantity in mm2,NpixelThe number of pixels in the synthesized image is the target physical quantity, and the unit is the number of pixel points HpixelThe unit is the number of pixel points, which is the pixel height of the composite image.
The invention also provides a system for verifying the measurement algorithm through the synthesis parameters, which comprises the following steps:
the data generation module is used for generating a verification image containing a plurality of target physical quantities through algorithm development software;
the data complementing module is used for converting the verification image into digital signal data and adding patient information and scanning visual field parameters into the digital signal data;
The data conversion module is used for converting the digital signal data into a synthetic image under the medical standard of the image according to the actual measurement of the target physical quantity and the scanning visual field parameter;
the target measurement algorithm is used for extracting the measurement of each target physical quantity in the synthetic image;
and the precision judging module is used for acquiring the algorithm precision of the target measurement algorithm according to the measurement and the actual measurement of the corresponding target physical quantity.
Further, in the data generation module, the target physical quantity includes one or more of length, angle, radian and area, and signal-to-noise ratio, uniformity, geometric distortion, spatial resolution, maximum value, minimum value, average value and standard deviation of the corresponding physical parameter.
Further, the digital signal data is raw data, and the data complementing module further includes:
a normalization unit for normalizing the digital signal data before information addition.
Further, the algorithm development software is Matlab, and the medical image standard is DICOM 3.0.
Further, in the data conversion module, the measurement determination method of the target physical quantity in the synthetic image may be set to the following formula by the algorithm development software:
Figure BDA0003539896120000031
In the formula, LmmIs an actual length measurement of the target physical quantity in mm, lpixelIs a measure of the length of the target physical quantity in the composite image, in pixel points, FOVmmFor scanning the field of view parameters, in mm, WpixelIs a composite drawingThe pixel width of the image is in the unit of the number of pixel points;
Figure BDA0003539896120000032
in the formula (I), the compound is shown in the specification,
Figure BDA0003539896120000033
is an actual area measurement of the target physical quantity in mm2,NpixelThe number of pixels in the composite image is the target physical quantity, and the unit is the number of pixel points HpixelThe unit is the number of pixel points, which is the pixel height of the composite image.
Compared with the prior art, the invention at least has the following beneficial effects:
(1) according to the method and the system for carrying out measurement algorithm verification through the synthetic parameters, the program source code of the target measurement algorithm does not need to be disclosed by self-generation and conversion of the verification image and comparison of the measurement and the actual measurement, so that the program source code can be better protected;
(2) the special water model for testing is not required to be purchased, and a special magnetic resonance imaging system testing platform is not required, so that the cost of algorithm measurement can be greatly reduced, and the method is easier to popularize to the market and depends on the measurement of the method.
Drawings
FIG. 1 is a schematic view of a phantom;
FIG. 2 is a diagram of a method step for measurement algorithm validation by synthesis parameters;
FIG. 3 is a block diagram of a system for measurement algorithm verification by synthesis parameters.
Detailed Description
The following are specific embodiments of the present invention and are further described with reference to the accompanying drawings, but the present invention is not limited to these embodiments.
Example one
In the existing method for evaluating the magnetic resonance image ROI region extraction algorithm, the lily detection and evaluation method has the following defects:
(1) the source code of the measurement algorithm needs to be disclosed, which is not beneficial to the property protection of the source code;
(2) the requirement on the professional level of an evaluator is extremely high, the professional performance of the evaluator is relied on, and meanwhile, the cost of algorithm design verification is increased.
The black box detection and evaluation method has the following defects:
(1) an algorithm development unit is required to buy a special test water model, so that the price is high;
(2) a special test platform of the magnetic resonance imaging system needs to be prepared and normal operation is guaranteed, a common laboratory is not equipped, and the equipment is large in occupied area and expensive.
(3) Special test cases need to be developed for test evaluation, the requirement on personnel is high, and the test cases need to be verified and confirmed.
It is not easy to see that the prior art is difficult to simultaneously realize the protection of the source code and the control of the test cost in the test process, and based on this, as shown in fig. 2, the invention provides a method for verifying the measurement algorithm by synthesizing parameters, which comprises the following steps:
s1: generating a verification image containing a plurality of target physical quantities through algorithm development software;
s2: acquiring digital signal data of the converted verification image, and adding patient information and scanning visual field parameters into the digital signal data;
s3: converting the digital signal data into a synthetic image under the medical standard of the image according to the actual measurement of the target physical quantity and the scanning visual field parameter;
s4: extracting the measurement of each target physical quantity in the synthetic image through a target measurement algorithm;
s5: and obtaining the algorithm accuracy of the target measurement algorithm according to the measurement and the actual measurement of the corresponding target physical quantity.
In order to better protect the source code of the measurement algorithm and avoid commercial competition caused by source code leakage, the application improves on a black box detection evaluation method, and proposes that a physical quantity (such as one or more of length, angle, radian and area, and signal-to-noise ratio, uniformity, geometric distortion, spatial resolution, maximum value, minimum value, average value and standard deviation of the corresponding physical parameter) which can appear in a conventional magnetic resonance image is simulated by using common software (such as Matlab software) developed by the algorithm in a magnetic resonance image simulation mode, and further, the physical quantity including but not limited to a polygonal image can be increased according to an actual magnetic resonance measurement target. However, a complete mr image does not only include information on physical quantities, but also patient information (such as patient information, examination information, sequence information, image information, etc.) and scan field parameters, and further, may include information on scan technique parameters, etc.
Wherein the scanning visual field or effective visual field is the X-ray scannable range set before scanning. The size of the scanning field can be 5-50cm, and the size of the scanning field is 40-50cm for a common CT machine with a single scanning field. According to the scanning view field parameters and the actual measurement of the target physical quantity, in the final obtained image, the measurement corresponding to the target physical quantity can be represented by the following formula:
Figure BDA0003539896120000051
in the formula, LmmIs an actual length measurement of the target physical quantity in mm, lpixelIs the length measurement of the target physical quantity in the composite image, and has the unit of pixel point number and FOVmmFor scanning the field of view parameters, in mm, WpixelThe unit is the number of pixel points for the pixel width of the composite image.
Figure BDA0003539896120000052
In the formula (I), the compound is shown in the specification,
Figure BDA0003539896120000053
is an actual area measurement of the target physical quantity in mm2,NpixelThe number of pixels in the synthesized image is the target physical quantity, and the unit is the number of pixel points HpixelThe unit is the number of pixel points, which is the pixel height of the composite image.
Based on the above, in order to make the finally obtained image more suitable for the data requirement of the nuclear magnetic resonance image, the information needs to be added. Considering that the verification image is light source signal data, and the patient information and the scan field parameters are data signal data, fusing the two data requires making them data types consistent. Therefore, the invention converts the data type of the verification image, and adds corresponding data after converting the verification image into digital signal data. In the present application, raw data is selected as the data signal type, because raw color information of the detected image can be better stored, that is, lossless data type conversion is performed. In a specific application, however, other data signal types can be selected as data carriers according to actual data storage requirements and conversion operation can be performed.
It should be noted that, in order to simplify the subsequent computational complexity, normalization processing is also performed before information is added to the raw data. Taking 512 × 512 raw data as an example, because each pixel point is stored by two bytes of unsigned integers, the raw data is based on the general characteristics of the magnetic resonance image, the minimum value of all raw data points (512 × 512) is 0, the maximum value can be set to 4095(0xFFF), and the maximum value is set according to the normalized modulo value of the magnetic resonance image, for example, when the normalized modulo value of the image is set to 4095, the average value of the pixel points on all target physical quantities is 0 xFFF.
Then, the RAWDATA data after information addition is converted into a synthetic image under the image medical standard, DICOM3.0 is selected as the image medical standard, and in practical application, the medical standard can be influenced to be switched according to the actual test environment.
Finally, the obtained composite image is input into a target measurement algorithm to be determined, measurement of a corresponding target physical quantity extracted from the composite image by the target measurement algorithm is obtained, and the measurement is compared with actual measurement of the corresponding target physical quantity, so that the algorithm accuracy of the target measurement algorithm can be obtained. Through the operation, the evaluation of the measurement algorithm under the condition that the source code is not disclosed and the purchase of the measurement equipment is not needed can be realized.
Meanwhile, Matlab software is used for setting parameters of a measuring algorithm to generate a final composite image, so that the result of the target physical quantity in the measuring algorithm is predictable. The generated synthetic image under the DICOM 3.0 standard can be used for multiple times without deviation, and in view of the universality of Matlab software in the field of design and development, the synthetic image is used by a large number of scientific research institutions and does not need to be calibrated.
Example two
In order to better understand the technical content of the present invention, this embodiment explains the technical point of the present invention in the form of a system structure, as shown in fig. 3, a system for performing measurement algorithm verification by synthesizing parameters, comprising:
the data generation module is used for generating a verification image containing a plurality of target physical quantities through algorithm development software;
the data complementing module is used for converting the verification image into digital signal data and adding patient information and scanning visual field parameters into the digital signal data;
the data conversion module is used for converting the digital signal data into a synthetic image under the medical standard of the image according to the actual measurement of the target physical quantity and the scanning visual field parameter;
the target measurement algorithm is used for extracting the measurement of each target physical quantity in the synthetic image;
And the precision judging module is used for acquiring the algorithm precision of the target measurement algorithm according to the measurement and the actual measurement of the corresponding target physical quantity.
Further, in the data generation module, the target physical quantity includes one or more of length, angle, radian and area, and signal-to-noise ratio, maximum value, minimum value, average value and standard deviation of the corresponding physical parameters.
Further, the digital signal data is raw data, and the data complementing module further includes:
a normalization unit for normalizing the digital signal data before information addition.
Further, the algorithm development software is Matlab, and the medical image standard is DICOM 3.0.
Further, in the data conversion module, the measurement determination method of the target physical quantity in the synthetic image may be set to the following formula by the algorithm development software:
Figure BDA0003539896120000071
in the formula, LmmIs an actual length measurement of the target physical quantity in mm, lpixelIs the length measurement of the target physical quantity in the composite image, and has the unit of pixel point number and FOVmmFor scanning the parameters of the field of view, in mm, WpixelThe unit is the pixel width of the synthesized image and the number of pixel points;
Figure BDA0003539896120000081
in the formula (I), the compound is shown in the specification,
Figure BDA0003539896120000082
is an actual area measurement of the target physical quantity in mm 2,NpixelThe number of pixels in the composite image is the target physical quantity, and the unit is the number of pixel points HpixelThe unit is the pixel height of the composite image, and is the number of pixel points.
In summary, according to the method and system for performing measurement algorithm verification by using synthetic parameters, the program source code of the target measurement algorithm does not need to be disclosed by verifying self-generation and conversion of the image and comparing the measurement metric with the actual metric, so that the program source code can be better protected.
The special water model for testing is not required to be purchased, and a special magnetic resonance imaging system testing platform is not required, so that the cost of algorithm measurement can be greatly reduced, and the method is easier to popularize to the market and depends on the measurement of the method.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
Moreover, descriptions of the present invention as relating to "first," "second," "a," etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit ly indicating a number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise explicitly stated or limited, the terms "connected", "fixed", and the like are to be understood broadly, for example, "fixed" may be fixedly connected, may be detachably connected, or may be integrated; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be interconnected within two elements or in a relationship where two elements interact with each other unless otherwise specifically limited. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of the technical solutions by those skilled in the art, and when the technical solutions are contradictory to each other or cannot be realized, such a combination of the technical solutions should not be considered to exist, and is not within the protection scope of the present invention.

Claims (10)

1. A method for measurement algorithm validation with synthesis parameters, comprising the steps of:
s1: generating a verification image containing a plurality of target physical quantities through algorithm development software;
S2: acquiring digital signal data of the converted verification image, and adding patient information and scanning visual field parameters into the digital signal data;
s3: converting the digital signal data into a synthetic image under the medical standard of the image according to the actual measurement of the target physical quantity and the scanning visual field parameter;
s4: extracting the measurement of each target physical quantity in the synthetic image through a target measurement algorithm;
s5: and obtaining the algorithm accuracy of the target measurement algorithm according to the measurement and the actual measurement of the corresponding target physical quantity.
2. The method for performing measurement algorithm verification through synthesis parameters according to claim 1, wherein in the step S1, the target physical quantity comprises one or more of length, angle, radian and area, and signal-to-noise ratio, uniformity, geometric distortion, spatial resolution, maximum value, minimum value, average value and standard deviation of the corresponding physical parameters.
3. The method of claim 1, wherein the digital signal data is raw data, and the step of S2, before the information is added, further comprises the steps of:
the digital signal data is processed by normalization.
4. The method of claim 1, wherein the algorithm development software is Matlab and the image medicine standard is DICOM 3.0.
5. The method for performing measurement algorithm verification through synthetic parameters according to claim 1, wherein in the step S3, the measurement of the target physical quantity in the synthetic image is determined by the algorithm development software as follows:
Figure FDA0003539896110000021
in the formula, LmmIs an actual length measurement of the target physical quantity in mm, lpixelIs the length measurement of the target physical quantity in the composite image, and has the unit of pixel point number and FOVmmFor scanning the parameters of the field of view, in mm, WpixelThe unit is the pixel width of the synthesized image and the number of pixel points;
Figure FDA0003539896110000022
in the formula (I), the compound is shown in the specification,
Figure FDA0003539896110000023
is an actual area measurement of the target physical quantity in mm2,NpixelThe number of pixels in the synthesized image is the target physical quantity, and the unit is the number of pixel points HpixelThe unit is the number of pixel points, which is the pixel height of the composite image.
6. A system for measurement algorithm validation by synthesis parameters, comprising:
the data generation module is used for generating a verification image containing a plurality of target physical quantities through algorithm development software;
The data complementing module is used for converting the verification image into digital signal data and adding patient information and scanning visual field parameters into the digital signal data;
the data conversion module is used for converting the digital signal data into a synthetic image under the medical standard of the image according to the actual measurement of the target physical quantity and the scanning visual field parameter;
the target measurement algorithm is used for extracting the measurement of each target physical quantity in the synthetic image;
and the precision judging module is used for acquiring the algorithm precision of the target measurement algorithm according to the measurement and the actual measurement of the corresponding target physical quantity.
7. The system for performing measurement algorithm verification through synthesis parameters according to claim 6, wherein the target physical quantity in the data generation module comprises one or more of length, angle, radian and area, and signal-to-noise ratio, uniformity, geometric distortion, spatial resolution, maximum value, minimum value, average value and standard deviation of the corresponding physical parameters.
8. The system of claim 6, wherein the digital signal data is raw data, the data complementing module further comprising:
A normalization unit for normalizing the digital signal data before the information addition.
9. The system of claim 6, wherein the algorithm development software is Matlab and the image medicine standard is DICOM 3.0.
10. The system for performing measurement algorithm verification through synthetic parameters according to claim 6, wherein in the data conversion module, the measurement determination manner of the target physical quantity in the synthetic image can be set to the following formula through algorithm development software:
Figure FDA0003539896110000031
in the formula, LmmIs an actual length measurement of the target physical quantity in mm, lpixelIs the length measurement of the target physical quantity in the composite image, and has the unit of pixel point number and FOVmmTo scanVisual field parameters in mm, WpixelThe unit is the pixel width of the synthesized image and the number of pixel points;
Figure FDA0003539896110000032
in the formula (I), the compound is shown in the specification,
Figure FDA0003539896110000033
is an actual area measurement of the target physical quantity in mm2,NpixelThe number of pixels in the synthesized image is the target physical quantity, and the unit is the number of pixel points HpixelThe unit is the number of pixel points, which is the pixel height of the composite image.
CN202210229113.3A 2022-03-10 2022-03-10 Method and system for verifying measurement algorithm through synthesis parameters Pending CN114757876A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117038064A (en) * 2023-10-07 2023-11-10 之江实验室 Evaluation method, device, storage medium and equipment for auxiliary analysis algorithm

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117038064A (en) * 2023-10-07 2023-11-10 之江实验室 Evaluation method, device, storage medium and equipment for auxiliary analysis algorithm
CN117038064B (en) * 2023-10-07 2024-01-09 之江实验室 Evaluation method, device, storage medium and equipment for auxiliary analysis algorithm

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