CN114170166A - Magnetic resonance head scanning image quality evaluation method and equipment - Google Patents
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- 238000013441 quality evaluation Methods 0.000 title claims description 14
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- 238000003908 quality control method Methods 0.000 description 6
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- 238000002595 magnetic resonance imaging Methods 0.000 description 1
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- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
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Abstract
The application relates to a method and equipment for evaluating the quality of a magnetic resonance head scanning image, wherein the method comprises the following steps: acquiring a magnetic resonance head scanning image to be evaluated; evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the pre-divided dimension; and outputting the evaluation and analysis results of all dimensions of the magnetic resonance head scanning image to be evaluated. According to the method and the device, the magnetic resonance head scanning image to be evaluated is evaluated and analyzed based on the evaluation system, the efficiency is higher, and the flow and the evaluation standard are standardized. And in addition, multiple dimensions are divided in advance, and the magnetic resonance head scanning image to be evaluated is evaluated and analyzed from multiple dimensions, so that the magnetic resonance head scanning image evaluation method is more comprehensive and has better expandability and adaptability.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a method and equipment for evaluating the quality of a magnetic resonance head scanning image.
Background
Magnetic resonance is a multi-parameter, multi-plane and multi-modality imaging technology, medical images obtained by different scanning sequences of the magnetic resonance imaging technology can provide various information for clinicians, and particularly has important clinical value in the process of disease diagnosis and treatment of the nervous system. However, since there are many manufacturers and models of magnetic resonance devices on the market, their imaging performance is different, and the levels of imaging technicians operating the magnetic resonance devices in different hospitals in different regions and different levels are different, the difference of image quality of the same magnetic resonance examination performed by patients in different hospitals is large, and it is difficult to achieve mutual recognition of the imaging results, which results in the waste of repeated examination and medical resources. Although there is corresponding expert consensus and the release of scanning standards and guidelines, the quality control of magnetic resonance images in most of the radiology departments in the domestic countries is still completed manually, and the procedures and standards are lack of standards, resulting in low efficiency and poor quality control effect.
Disclosure of Invention
In order to overcome the problems of low quality control efficiency and poor quality control effect of magnetic resonance images in the related technology at least to a certain extent, the application provides a magnetic resonance head scanning image quality evaluation method and equipment.
The scheme of the application is as follows:
according to a first aspect of embodiments of the present application, there is provided a magnetic resonance head scan image quality evaluation method, including:
acquiring a magnetic resonance head scanning image to be evaluated;
evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the pre-divided dimensionality;
and outputting the evaluation analysis result of each dimension of the magnetic resonance head scanning image to be evaluated.
Preferably, in an implementable manner of the present application, the pre-divided dimensions include at least:
scan sequence integrity, scan range integrity, and image quality.
Preferably, in an implementable manner of the present application, the performing evaluation analysis on the magnetic resonance head scan image to be evaluated based on the pre-divided dimensions includes:
evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the scanning sequence integrity dimension;
evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the scanning range integrity dimension;
and evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the image quality dimension.
Preferably, in an implementable manner of the present application, the performing evaluation analysis on the magnetic resonance head scan image to be evaluated based on the scan sequence integrity dimension includes:
acquiring a pre-configured sequence integrity standard, wherein the sequence integrity standard comprises all sequence types contained in an equipment workstation;
identifying the sequence type contained in the magnetic resonance head scanning image to be evaluated;
and judging whether the sequence type contained in the magnetic resonance head scanning image to be evaluated meets the sequence integrity standard or not.
Preferably, in an implementable manner of the present application, the obtaining of the preconfigured sequence integrity criterion includes:
acquiring a characteristic value of DICOM file header information of an equipment workstation; the header information characteristic value is at least one of the following items: a set, maximum or minimum;
determining the sequence integrity criterion based on the header information characteristic values.
Preferably, in an implementable manner of the present application, the performing evaluation analysis on the magnetic resonance head scan image to be evaluated based on the scan range integrity dimension includes:
extracting head and tail images in each sequence of the magnetic resonance head scanning image to be evaluated;
judging whether the scanning range of the head and tail images in each sequence of the magnetic resonance head scanning image to be evaluated is complete or not;
and if the scanning ranges of the head and tail images in each sequence of the magnetic resonance head scanning image to be evaluated are complete, judging that the scanning range of the magnetic resonance head scanning image to be evaluated is complete.
Preferably, in an implementable manner of the present application, the performing evaluation analysis on the magnetic resonance head scan image to be evaluated based on the image quality dimension includes:
and judging whether the positioning drawing line of the magnetic resonance head scanning image to be evaluated is accurate or not based on a pre-trained recognition model.
Preferably, in an implementable manner of the present application, the performing evaluation analysis on the magnetic resonance head scan image to be evaluated based on the image quality dimension includes:
and judging the influence degree of the motion artifact, the influence degree of the metal artifact, the influence degree of the magnetic sensitivity artifact, the influence degree of the convolution artifact and the influence degree of the radio frequency ignition artifact of the magnetic resonance head scanning image to be evaluated based on a pre-trained recognition model.
Preferably, in an implementable manner of the present application, the performing evaluation analysis on the magnetic resonance head scan image to be evaluated based on the image quality dimension includes:
and measuring the signal-to-noise ratio of the magnetic resonance head scanning image to be evaluated.
According to a second aspect of embodiments of the present application, there is provided a magnetic resonance head scan image quality evaluation apparatus, comprising:
a processor and a memory;
the processor is connected with the memory through a communication bus;
the processor is used for calling and executing the program stored in the memory;
the memory is used for storing a program at least for executing the magnetic resonance head scanning image quality evaluation method.
The technical scheme provided by the application can comprise the following beneficial effects: the magnetic resonance head scanning image quality evaluation method in the application comprises the following steps: acquiring a magnetic resonance head scanning image to be evaluated; evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the pre-divided dimension; and outputting the evaluation and analysis results of all dimensions of the magnetic resonance head scanning image to be evaluated. According to the method and the device, the magnetic resonance head scanning image to be evaluated is evaluated and analyzed based on the evaluation system, the efficiency is higher, and the flow and the evaluation standard are standardized. And in addition, multiple dimensions are divided in advance, and the magnetic resonance head scanning image to be evaluated is evaluated and analyzed from multiple dimensions, so that the magnetic resonance head scanning image evaluation method is more comprehensive and has better expandability and adaptability.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic flowchart of a method for evaluating image quality of a magnetic resonance head scan according to an embodiment of the present application;
fig. 2 is a schematic interface diagram of acquiring a scan image of a magnetic resonance head to be evaluated according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an interface for pre-configuring sequence integrity criteria according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating an output result of evaluation and analysis of dimensions of a magnetic resonance head scan image to be evaluated according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an apparatus for evaluating image quality of a magnetic resonance head scan according to an embodiment of the present application.
Reference numerals: a processor-21; a memory-22.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
A method for evaluating the quality of a magnetic resonance head scan image, referring to fig. 1, comprising:
s11: acquiring a magnetic resonance head scanning image to be evaluated;
referring to fig. 2, the method for evaluating the quality of the magnetic resonance head scan image in the present embodiment may be applied to the front end or the back end.
Specifically, a newly added magnetic resonance head scanning image to be evaluated can be directly acquired from the scanning workstation through the real-time monitoring scanning workstation, and then the magnetic resonance head scanning image to be evaluated is evaluated at the front end through the magnetic resonance head scanning image quality evaluation method in the embodiment. The quality control is carried out from the front end, which is beneficial to finding out the difference which does not meet the standard as soon as possible and reminding an image technician to take the measures for improving the image quality or carry out the remedy in time.
The concrete mode is as follows: setting a DICOM file directory (directory for storing DICOM images in a scanning workstation) and polling the directory interval time (how often a new file of the directory is acquired).
Or after the imaging technician acquires the magnetic resonance head scanning image to be evaluated and uploads the image to the image archiving and communication system, the magnetic resonance head scanning image to be evaluated is acquired from the image archiving and communication system, and the quality control is carried out at the back end.
The concrete mode is as follows: the IP address, port, AE Title, temporary file directory (temporary directory stored when DICOM images are acquired) and polling interval (how long to inquire and acquire a new image) of the image acquired from the PACS are set.
S12: evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the pre-divided dimension;
the pre-divided dimensions include at least:
scan sequence integrity, scan range integrity, and image quality.
The method for evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the pre-divided dimensions comprises the following steps:
firstly, the evaluation analysis of the magnetic resonance head scanning image to be evaluated based on the scanning sequence integrity dimension comprises the following steps:
acquiring a pre-configured sequence integrity standard, wherein the sequence integrity standard comprises all sequence types contained in an equipment workstation;
identifying the sequence type contained in the magnetic resonance head scanning image to be evaluated;
and judging whether the sequence type contained in the magnetic resonance head scanning image to be evaluated meets the sequence integrity standard or not.
Acquiring a pre-configured sequence integrity standard, including:
acquiring a characteristic value of DICOM file header information of an equipment workstation; the header information characteristic value is at least one of the following items: a set, maximum or minimum;
a sequence integrity criterion is determined based on the header information characteristic values.
An interface for pre-configuring the sequence integrity criteria is shown in fig. 3.
Secondly, evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the scanning range integrity dimension; the method comprises the following steps:
extracting head and tail images in each sequence of a magnetic resonance head scanning image to be evaluated;
judging whether the head and tail image scanning ranges in all sequences of the magnetic resonance head scanning image to be evaluated are complete or not;
and if the scanning ranges of the head and tail images in each sequence of the magnetic resonance head scanning image to be evaluated are complete, judging that the scanning range of the magnetic resonance head scanning image to be evaluated is complete.
In this embodiment, the first and last images of all sequences of the magnetic resonance head scan image to be evaluated are extracted, and whether the scan range is complete or not is determined. For example, head axis images: whether the occipital macropore → cranial vertex brain tissue scanning range is complete or not.
Thirdly, evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the image quality dimension, comprising the following steps:
and judging whether the positioning drawing line of the magnetic resonance head scanning image to be evaluated is accurate or not based on the pre-trained recognition model.
The magnetic resonance head scanning image to be evaluated is multi-plane multi-parameter imaging, and whether the scanning line of a technician meets the standard needs to be evaluated, the optimal anatomical orientation is provided, and whether the scan line is aligned to the standard anatomical positioning part or not is corrected. In this embodiment, whether a positioning drawing line of a magnetic resonance head scanning image to be evaluated is accurate is determined based on a pre-trained recognition model, and evaluation classification is performed, which may be divided into three stages: perfect alignment, slight deviation without affecting the diagnosis, large deviation not meeting the specification.
And judging the influence degree of the motion artifact, the influence degree of the metal artifact, the influence degree of the magnetic sensitivity artifact, the influence degree of the convolution artifact and the influence degree of the radio frequency ignition artifact of the magnetic resonance head scanning image to be evaluated based on a pre-trained recognition model.
Training an identification model based on historical data of artifacts with different influence degrees, and judging the influence degree of the motion artifact, the influence degree of the metal artifact, the influence degree of the magnetic sensitivity artifact, the influence degree of the convolution artifact and the influence degree of the radio frequency ignition artifact of the magnetic resonance head scanning image to be evaluated by the identification model. The severity of motion artifact can be judged in three stages: no artifact at all, slight artifact but no influence on diagnosis, and serious artifact but no diagnosis.
The signal-to-noise ratio of the magnetic resonance head scan image to be evaluated is measured.
The signal-to-noise ratio can be directly measured, and the white matter WM or cerebrospinal fluid CSF can be selected as the TOI of the target tissue area to be measured, and the SNR value is measured.
S13: and outputting the evaluation and analysis results of all dimensions of the magnetic resonance head scanning image to be evaluated.
The output results are shown in fig. 4.
The embodiment relates to a magnetic resonance head scanning image quality evaluation method, which comprises the following steps: acquiring a magnetic resonance head scanning image to be evaluated; evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the pre-divided dimension; and outputting the evaluation and analysis results of all dimensions of the magnetic resonance head scanning image to be evaluated. According to the method and the device, the magnetic resonance head scanning image to be evaluated is evaluated and analyzed based on the evaluation system, the efficiency is higher, and the flow and the evaluation standard are standardized. And in addition, multiple dimensions are divided in advance, and the magnetic resonance head scanning image to be evaluated is evaluated and analyzed from multiple dimensions, so that the magnetic resonance head scanning image evaluation method is more comprehensive and has better expandability and adaptability.
A magnetic resonance head scan image quality evaluation apparatus, referring to fig. 5, comprising:
a processor and a memory;
the processor is connected with the memory through a communication bus;
the processor is used for calling and executing the program stored in the memory;
a memory for storing a program for performing at least one magnetic resonance head scan image quality evaluation method of any of the above.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A magnetic resonance head scanning image quality evaluation method is characterized by comprising the following steps:
acquiring a magnetic resonance head scanning image to be evaluated;
evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the pre-divided dimensionality;
and outputting the evaluation analysis result of each dimension of the magnetic resonance head scanning image to be evaluated.
2. The method of claim 1, wherein the pre-partitioned dimensions comprise at least:
scan sequence integrity, scan range integrity, and image quality.
3. The method according to claim 2, wherein the evaluation analysis of the magnetic resonance head scan image to be evaluated based on the pre-divided dimensions comprises:
evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the scanning sequence integrity dimension;
evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the scanning range integrity dimension;
and evaluating and analyzing the magnetic resonance head scanning image to be evaluated based on the image quality dimension.
4. The method according to claim 3, wherein the evaluation analysis of the magnetic resonance head scan image to be evaluated based on the scan sequence integrity dimension comprises:
acquiring a pre-configured sequence integrity standard, wherein the sequence integrity standard comprises all sequence types contained in an equipment workstation;
identifying the sequence type contained in the magnetic resonance head scanning image to be evaluated;
and judging whether the sequence type contained in the magnetic resonance head scanning image to be evaluated meets the sequence integrity standard or not.
5. The method of claim 4, wherein obtaining the pre-configured sequence integrity criteria comprises:
acquiring a characteristic value of DICOM file header information of an equipment workstation; the header information characteristic value is at least one of the following items: a set, maximum or minimum;
determining the sequence integrity criterion based on the header information characteristic values.
6. The method according to claim 3, wherein the evaluation analysis of the magnetic resonance head scan image to be evaluated based on the scan range integrity dimension comprises:
extracting head and tail images in each sequence of the magnetic resonance head scanning image to be evaluated;
judging whether the scanning range of the head and tail images in each sequence of the magnetic resonance head scanning image to be evaluated is complete or not;
and if the scanning ranges of the head and tail images in each sequence of the magnetic resonance head scanning image to be evaluated are complete, judging that the scanning range of the magnetic resonance head scanning image to be evaluated is complete.
7. The method according to claim 3, wherein the evaluation analysis of the magnetic resonance head scan image to be evaluated based on the image quality dimension comprises:
and judging whether the positioning drawing line of the magnetic resonance head scanning image to be evaluated is accurate or not based on a pre-trained recognition model.
8. The method according to claim 3, wherein the evaluation analysis of the magnetic resonance head scan image to be evaluated based on the image quality dimension comprises:
and judging the influence degree of the motion artifact, the influence degree of the metal artifact, the influence degree of the magnetic sensitivity artifact, the influence degree of the convolution artifact and the influence degree of the radio frequency ignition artifact of the magnetic resonance head scanning image to be evaluated based on a pre-trained recognition model.
9. The method according to claim 3, wherein the evaluation analysis of the magnetic resonance head scan image to be evaluated based on the image quality dimension comprises:
and measuring the signal-to-noise ratio of the magnetic resonance head scanning image to be evaluated.
10. A magnetic resonance head scan image quality evaluation apparatus, characterized by comprising:
a processor and a memory;
the processor is connected with the memory through a communication bus;
the processor is used for calling and executing the program stored in the memory;
the memory for storing a program for performing at least a magnetic resonance head scan image quality evaluation method of any one of claims 1 to 9.
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| CN116649993A (en) * | 2023-04-21 | 2023-08-29 | 北京绪水互联科技有限公司 | Multi-period scanning image quality control method and device, electronic equipment and storage medium |
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