Data acquisition and image processing method of magnetic resonance imaging equipment

Abstract

The invention relates to a data acquisition and image processing method of magnetic resonance imaging equipment, and belongs to the technical field of data processing of the magnetic resonance imaging equipment, and the method comprises the steps: obtaining a safety evaluation result, carrying out the working parameter control of the current magnetic resonance imaging equipment according to the safety evaluation result, and carrying out the processing after the processing. The method comprises the following steps: acquiring image data information acquired by a plurality of pieces of nuclear magnetic resonance imaging equipment through the nuclear magnetic resonance imaging equipment, and finally performing quality evaluation through the image data information acquired by the nuclear magnetic resonance imaging equipment to acquire a quality evaluation result of each piece of image data information. And performing image reconstruction according to the quality evaluation result of each piece of image data information to obtain a processed nuclear magnetic resonance image. According to the method, the image data information acquired by the nuclear magnetic resonance imaging equipment is analyzed and processed, so that the reconstruction of the nuclear magnetic resonance image can be completed without a complex algorithm, the image data processing efficiency is improved, and the medical efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of magnetic resonance imaging equipment data processing, and in particular to a data acquisition and image processing method for magnetic resonance imaging equipment. Background Art

[0002] Nuclear magnetic resonance imaging (MRI) is also called nuclear magnetic resonance imaging technology. Nuclear magnetic resonance imaging is an instrument produced by this technology. It is another major advancement in medical imaging after CT. Since its application in the 1980s, it has developed at a very fast speed. Nuclear magnetic resonance is a physical phenomenon and is widely used in physics, chemistry, biology and other fields as an analytical method. MRI is a biological magnetic spin imaging technology. It uses the characteristics of the spin motion of atomic nuclei to generate signals after radio frequency pulse excitation in an external magnetic field. The signals are detected by detectors and input into computers, and the images are displayed on the screen after processing and conversion. The amount of information provided by MRI is not only greater than many other imaging techniques in medical imaging, but also different from existing imaging techniques. Therefore, it has great potential advantages in the diagnosis of diseases. It can directly produce tomographic images of cross-sections, sagittal planes, coronal planes and various oblique planes, without the artifacts in CT detection; no contrast agent injection is required; no ionizing radiation, no adverse effects on the body. MRI is very effective in detecting common brain diseases such as intracerebral hematoma, extracerebral hematoma, brain tumor, intracranial aneurysm, arteriovenous malformation, cerebral ischemia, intraspinal tumor, syringomyelia and hydromyelia, and is also very effective in diagnosing diseases such as lumbar disc herniation and primary liver cancer. However, in the prior art, after processing, multiple nuclear magnetic resonance images are formed, and the image processing is completed through a large number of algorithms so that the image resolution is within a predetermined range. The algorithm processing often takes a lot of time, which will lead to a long nuclear magnetic resonance imaging process, which is not conducive to improving medical efficiency. Summary of the invention

[0003] The present invention overcomes the shortcomings of the prior art and provides a data acquisition and image processing method for a magnetic resonance imaging device.

[0004] To achieve the above object, the technical solution adopted by the present invention is: A first aspect of the present invention provides a method for data acquisition and image processing of a magnetic resonance imaging device, comprising the following steps: Construct a noise safety knowledge graph of a nuclear magnetic resonance imaging device, obtain basic data information of a user, and obtain a noise characteristic safety range of the current user through the noise safety knowledge graph of the nuclear magnetic resonance imaging device and the basic data information of the user; Acquire noise characteristic data of the current nuclear magnetic resonance imaging device, and evaluate the noise characteristic safety range of the current nuclear magnetic resonance imaging device and the current user to obtain a safety evaluation result; Controlling working parameters of the current nuclear magnetic resonance imaging device according to the safety evaluation result, and obtaining image data information collected by a plurality of nuclear magnetic resonance imaging devices through the magnetic resonance imaging device after processing; The quality of the image data information collected by the nuclear magnetic resonance imaging device is evaluated, a quality evaluation result of each image data information is obtained, and image reconstruction is performed according to the quality evaluation result of each image data information to obtain a processed nuclear magnetic resonance image.

[0005] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, a noise safety knowledge graph of the nuclear magnetic resonance imaging device is constructed to obtain the basic data information of the user, and the noise characteristic safety range of the current user is obtained through the noise safety knowledge graph of the nuclear magnetic resonance imaging device and the basic data information of the user, specifically: Obtaining characteristic data information of the noise range acceptable to users under basic data information through big data, and introducing the Bayesian network to input the characteristic data information of the noise range acceptable to users under the basic data information into the Bayesian network; Using the basic data information as the first node of the Bayesian network, using the characteristic data information of the noise range acceptable to the user as the second node of the Bayesian network, and constructing a directed acyclic graph based on the first node and the second node; Constructing a noise safety knowledge graph for a nuclear magnetic resonance imaging device, inputting the directed acyclic graph into the noise safety knowledge graph for nuclear magnetic resonance imaging device for data storage, and obtaining basic data information of the user; The basic data information of the user is input into the noise safety knowledge graph of the nuclear magnetic resonance imaging device for data matching, the noise characteristic safety range of the current user is obtained, and the noise characteristic safety range of the current user is output.

[0006] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, the noise characteristic data of the current nuclear magnetic resonance imaging device is obtained, and the noise characteristic safety range of the current user is evaluated to obtain the safety evaluation result, specifically: Acquiring noise characteristic data of a current nuclear magnetic resonance imaging device, and determining whether the noise characteristic data of the current nuclear magnetic resonance imaging device is within a noise characteristic safety range of the current user; When the noise characteristic data of the current nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, an abnormal safety evaluation result is generated; When the noise characteristic data of the current nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, a normal safety evaluation result is generated; The abnormal safety evaluation result or the normal safety evaluation result is output as an output result.

[0007] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, the working parameters of the current nuclear magnetic resonance imaging device are controlled according to the safety evaluation result, specifically including: If the safety evaluation result is an abnormal safety evaluation result, obtaining noise characteristic data of the nuclear magnetic resonance imaging device under each operating parameter, and reselecting the configuration operating parameters of the nuclear magnetic resonance imaging device according to the noise characteristic data of the nuclear magnetic resonance imaging device under each operating parameter; Acquire noise characteristic data of a reconfigured nuclear magnetic resonance imaging device according to the configuration operating parameters of the nuclear magnetic resonance imaging device and the noise characteristic data of the nuclear magnetic resonance imaging device under each operating parameter; Introducing a genetic algorithm, when the noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, performing genetic iteration based on the genetic algorithm until the noise characteristic data is within the noise characteristic safety range of the current user; If the noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, the configuration working parameters of the nuclear magnetic resonance imaging device are output, and the nuclear magnetic resonance imaging device is controlled according to the configuration working parameters of the nuclear magnetic resonance imaging device.

[0008] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, the quality evaluation is performed on the image data information acquired by the nuclear magnetic resonance imaging device to obtain the quality evaluation result of each image data information, specifically including: By performing image segmentation on the image data information collected by the nuclear magnetic resonance imaging device, image data information of sub-regions collected by the nuclear magnetic resonance imaging device is obtained; Extracting resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device, setting resolution threshold data, and determining whether the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is greater than the resolution threshold data; When the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is not greater than the sub-region of the resolution threshold data, the corresponding sub-region is regarded as an abnormal image region; When the resolution information of the sub-region image data information collected by the magnetic resonance imaging device is greater than the sub-region of the resolution threshold data, the corresponding sub-region is used as a normal image region, and a quality evaluation result of each image data information is generated based on the normal image region and the abnormal image region.

[0009] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, image reconstruction is performed according to the quality evaluation result of each image data information to obtain the processed nuclear magnetic resonance image, specifically: Acquire abnormal image regions according to the quality evaluation result of each image data information, calculate Mahalanobis distance values ​​between the abnormal image regions, and determine whether the Mahalanobis distance values ​​between the abnormal image regions are greater than a preset Mahalanobis distance threshold; When the Mahalanobis distance value between the abnormal image regions is greater than a preset Mahalanobis distance threshold, normal image data at the same position as the abnormal image region is acquired from other images; The abnormal image area is replaced by the normal image data at the same position as the abnormal image area, and the replaced image data information is output as an output result to complete image reconstruction; When the Mahalanobis distance value between the image areas without the abnormality is greater than the preset Mahalanobis distance threshold, image enhancement processing is performed on the abnormal image area until the resolution information of the sub-area image data information collected by the magnetic resonance imaging device is greater than the sub-area of ​​the resolution threshold data.

[0010] A second aspect of the present invention provides a data acquisition and image processing system for a magnetic resonance imaging device, the system comprising a memory and a processor, the memory comprising a data acquisition and image processing method program for the magnetic resonance imaging device, and when the data acquisition and image processing method program for the magnetic resonance imaging device is executed by the processor, the steps of any one of the data acquisition and image processing methods for the magnetic resonance imaging device are implemented.

[0011] A third aspect of the present invention provides a computer-readable storage medium, comprising a data acquisition and image processing method program for a magnetic resonance imaging device. When the data acquisition and image processing method program for a magnetic resonance imaging device is executed by a processor, the steps of any one of the data acquisition and image processing methods for a magnetic resonance imaging device are implemented.

[0012] The present invention solves the defects existing in the background technology and has the following beneficial effects: The present invention constructs a noise safety knowledge graph of a nuclear magnetic resonance imaging device, obtains basic data information of a user, obtains the current user's noise characteristic safety range through the noise safety knowledge graph of the nuclear magnetic resonance imaging device and the user's basic data information, and then obtains the noise characteristic data of the current nuclear magnetic resonance imaging device, and evaluates the noise characteristic data of the current nuclear magnetic resonance imaging device and the noise characteristic safety range of the current user to obtain a safety evaluation result, thereby controlling the working parameters of the current nuclear magnetic resonance imaging device according to the safety evaluation result, and after processing, obtains image data information collected by several nuclear magnetic resonance imaging devices through the magnetic resonance imaging device, and finally performs quality evaluation through the image data information collected by the nuclear magnetic resonance imaging device, obtains the quality evaluation result of each image data information, and reconstructs the image according to the quality evaluation result of each image data information, and obtains the processed nuclear magnetic resonance image. The present invention analyzes and processes the image data information collected by the nuclear magnetic resonance imaging device, and can complete the reconstruction of the nuclear magnetic resonance image without a complex algorithm, thereby improving the efficiency of image data processing and improving medical efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0014] Figure 1 The overall flow chart of the data acquisition and image processing method of the magnetic resonance imaging device is shown; Figure 2 A partial method flow chart showing a method for data acquisition and image processing of a magnetic resonance imaging device; Figure 3 The system block diagram of the data acquisition and image processing system of the magnetic resonance imaging device is shown. DETAILED DESCRIPTION

[0015] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0016] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0017] like Figure 1 As shown, the first aspect of the present invention provides a method for data acquisition and image processing of a magnetic resonance imaging device, comprising the following steps: S102: construct a noise safety knowledge graph for nuclear magnetic resonance imaging equipment, obtain basic data information of the user, and obtain the noise characteristic safety range of the current user through the noise safety knowledge graph for nuclear magnetic resonance imaging equipment and the basic data information of the user; S104: Acquire noise characteristic data of the current nuclear magnetic resonance imaging device, and evaluate the noise characteristic safety range of the current nuclear magnetic resonance imaging device and the current user to obtain a safety evaluation result; S106: Controlling the working parameters of the current nuclear magnetic resonance imaging device according to the safety evaluation result, and obtaining image data information collected by the nuclear magnetic resonance imaging device through the magnetic resonance imaging device after processing; S108: Performing quality evaluation on the image data information collected by the nuclear magnetic resonance imaging device, obtaining a quality evaluation result of each image data information, performing image reconstruction according to the quality evaluation result of each image data information, and obtaining a processed nuclear magnetic resonance image.

[0018] It should be noted that the present invention analyzes and processes the image data information collected by the nuclear magnetic resonance imaging device, and can complete the reconstruction of the nuclear magnetic resonance image without using complex algorithms, thereby improving the efficiency of image data processing and thus improving medical efficiency.

[0019] like Figure 2 As shown, further, in step S102 of the method for data acquisition and image processing of magnetic resonance imaging equipment, the following steps are specifically included: S202: Obtaining characteristic data information of the noise range acceptable to the user under the basic data information through big data, and introducing the Bayesian network to input the characteristic data information of the noise range acceptable to the user under the basic data information into the Bayesian network; S204: taking the basic data information as the first node of the Bayesian network, taking the characteristic data information of the noise range acceptable to the user as the second node of the Bayesian network, and constructing a directed acyclic graph based on the first node and the second node; S206: construct a noise safety knowledge graph for nuclear magnetic resonance imaging equipment, input the directed acyclic graph into the noise safety knowledge graph for nuclear magnetic resonance imaging equipment for data storage, and obtain basic data information of the user; S208: Input the basic data information of the user into the noise safety knowledge graph of the magnetic resonance imaging device for data matching, obtain the noise feature safety range of the current user, and output the noise feature safety range of the current user.

[0020] It should be noted that the user's basic data information includes the user's age, disease information, etc. In fact, when doing MRI, a certain amount of noise will be generated. Although soundproof objects are worn, the ears will still be affected to a certain extent. Due to the user's age, ear disease information, depression, and autism disease information, the current user's noise feature safety range is different. This method can fully consider the user's condition, so as to formulate a more suitable inspection strategy for the user.

[0021] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, the noise characteristic data of the current nuclear magnetic resonance imaging device is obtained, and the noise characteristic safety range of the current nuclear magnetic resonance imaging device and the current user is evaluated to obtain the safety evaluation result, which is specifically: Acquire noise characteristic data of the current nuclear magnetic resonance imaging device, and determine whether the noise characteristic data of the current nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user; When the noise characteristic data of the current nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, an abnormal safety evaluation result is generated; When the noise characteristic data of the current nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, a normal safety evaluation result is generated; An abnormal safety evaluation result or a normal safety evaluation result is output as an output result.

[0022] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, the working parameters of the current nuclear magnetic resonance imaging device are controlled according to the safety evaluation result, specifically including: If the safety evaluation result is an abnormal safety evaluation result, obtaining noise characteristic data of the nuclear magnetic resonance imaging device under each working parameter, and reselecting the configuration working parameters of the nuclear magnetic resonance imaging device according to the noise characteristic data of the nuclear magnetic resonance imaging device under each working parameter; Acquire noise characteristic data of the reconfigured nuclear magnetic resonance imaging device according to the configuration working parameters of the nuclear magnetic resonance imaging device and the noise characteristic data of the nuclear magnetic resonance imaging device under each working parameter; A genetic algorithm is introduced, and when the noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, genetic iteration is performed based on the genetic algorithm until it is within the noise characteristic safety range of the current user; The noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, the configuration working parameters of the nuclear magnetic resonance imaging device are output, and the nuclear magnetic resonance imaging device is controlled according to the configuration working parameters of the nuclear magnetic resonance imaging device.

[0023] It should be noted that the working parameters of the MRI device include repetition time, echo time, receiving bandwidth, echo chain length, main magnetic field strength, gradient field strength, switching rate, radio frequency power, etc. The working parameters are found through genetic algorithms, so that the noise characteristic data of the reconfigured MRI device is within the noise characteristic safety range of the current user, which is in line with the user's situation and improves the rationality of data collection.

[0024] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, the quality evaluation of the image data information acquired by the nuclear magnetic resonance imaging device is performed to obtain the quality evaluation result of each image data information, specifically including: By performing image segmentation on the image data information collected by the nuclear magnetic resonance imaging device, image data information of sub-regions collected by the nuclear magnetic resonance imaging device is obtained; Extracting resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device, setting resolution threshold data, and determining whether the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is greater than the resolution threshold data; When the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is not greater than the sub-region of the resolution threshold data, the corresponding sub-region is regarded as an abnormal image region; When the resolution information of the sub-region image data information collected by the magnetic resonance imaging device is greater than the sub-region of the resolution threshold data, the corresponding sub-region is regarded as a normal image region, and a quality evaluation result of each image data information is generated based on the normal image region and the abnormal image region.

[0025] It should be noted that the present method is used to identify abnormal areas and normal areas, thereby reconstructing an image.

[0026] Furthermore, in the data acquisition and image processing method of the magnetic resonance imaging device, image reconstruction is performed according to the quality evaluation result of each image data information to obtain the processed nuclear magnetic resonance image, specifically: Acquire abnormal image regions according to the quality evaluation result of each image data information, calculate the Mahalanobis distance value between the abnormal image regions, and determine whether the Mahalanobis distance value between the abnormal image regions is greater than a preset Mahalanobis distance threshold; When the Mahalanobis distance value between the abnormal image regions is greater than a preset Mahalanobis distance threshold, normal image data at the same position as the abnormal image region is obtained from other images; The abnormal image area is replaced by normal image data at the same position as the abnormal image area, and the replaced image data information is output as an output result to complete image reconstruction; When the Mahalanobis distance value between image areas without abnormalities is greater than the preset Mahalanobis distance threshold, image enhancement processing is performed on the abnormal image area until the resolution information of the sub-area image data information collected by the magnetic resonance imaging device is greater than the sub-area of ​​the resolution threshold data.

[0027] It should be noted that the present method can complete the reconstruction of the nuclear magnetic resonance image without using a complex algorithm, thereby improving the efficiency of image data processing and thus improving medical efficiency. Among them, the image enhancement processing of the abnormal image area includes operations such as denoising, filtering, defogging, and grayscale processing.

[0028] In addition, the noise characteristic data of current MRI equipment is obtained, including: Obtain the noise change characteristic data of the MRI equipment during service, and build a noise characteristic data prediction model for the MRI equipment based on a deep neural network; Inputting noise change characteristic data of the nuclear magnetic resonance imaging device during service into the nuclear magnetic resonance imaging device noise characteristic data prediction model for training, and obtaining a trained nuclear magnetic resonance imaging device noise characteristic data prediction model; Acquire noise characteristic data of the nuclear magnetic resonance imaging device under different working parameters within a preset time, and input the noise characteristic data of the nuclear magnetic resonance imaging device under different working parameters within the preset time into the trained nuclear magnetic resonance imaging device noise characteristic data prediction model for prediction; Acquire noise characteristic data of the current timestamp nuclear magnetic resonance imaging device under different working parameters and the real-time working parameters of the nuclear magnetic resonance imaging device through prediction, and acquire real-time noise characteristic data according to the noise characteristic data of the current timestamp nuclear magnetic resonance imaging device under different working parameters and the real-time working parameters of the nuclear magnetic resonance imaging device; The noise characteristic data of the current nuclear magnetic resonance imaging device is updated according to the real-time noise characteristic data.

[0029] It should be noted that due to the performance degradation of the equipment during service, the noise data will change. Through this method, the noise characteristic data of the current magnetic resonance imaging equipment can be updated according to the real-time noise characteristic data, thereby improving the rationality of control of the current magnetic resonance imaging equipment.

[0030] In addition, the method further comprises: Obtaining basic information of the user within a preset time through the Internet of Things medical platform, and obtaining ear disease status data information of the user within the preset time based on the basic information of the user within the preset time; A dynamic Bayesian network is introduced, and the ear disease status data information of the user within a preset time is input into the Bayesian network for observation, and the ear disease status data information of each timestamp is used as an observation vector; constructing an observation vector matrix based on the observation vector, calculating a transition probability value of each observation vector in the observation vector matrix transferring to another observation vector, and determining whether the transition probability value is greater than a preset transition probability threshold; The observation vector whose transfer probability value is greater than the preset transfer probability threshold is updated to another observation vector, the observation vector whose transfer probability value is not greater than the preset transfer probability threshold is maintained unchanged, the observation vector matrix is ​​updated, the user's ear disease status data information is updated based on the observation vector matrix, and the noise characteristic safety range of the current user is updated based on the updated user's ear disease status data information.

[0031] It should be noted that since the user's ear disease data (such as the severity of the ear disease, ear detection data) may change, the user's ear disease status is updated in a timely manner through the Bayesian network, thereby updating the current user's noise feature safety range and improving the rationality of magnetic resonance image data collection during detection.

[0032] like Figure 3 As shown, the second aspect of the present invention provides a data acquisition and image processing system 4 for a magnetic resonance imaging device, the system comprising a memory 41 and a processor 42, the memory 41 comprising a data acquisition and image processing method program for a magnetic resonance imaging device, when the data acquisition and image processing method program for a magnetic resonance imaging device is executed by the processor 42, the following steps are implemented: Construct a noise safety knowledge graph for nuclear magnetic resonance imaging equipment, obtain basic data information of users, and obtain the current user's noise characteristic safety range through the noise safety knowledge graph for nuclear magnetic resonance imaging equipment and basic data information of users; Acquire noise characteristic data of the current nuclear magnetic resonance imaging device, and evaluate the noise characteristic safety range of the current nuclear magnetic resonance imaging device and the current user to obtain a safety evaluation result; Controlling the working parameters of the current nuclear magnetic resonance imaging device according to the safety evaluation result, and obtaining the image data information collected by the nuclear magnetic resonance imaging device through the magnetic resonance imaging device after processing; The quality of the image data information collected by the nuclear magnetic resonance imaging device is evaluated, the quality evaluation result of each image data information is obtained, and the image is reconstructed according to the quality evaluation result of each image data information to obtain a processed nuclear magnetic resonance image.

[0033] Furthermore, in the data acquisition and image processing system of the magnetic resonance imaging device, a noise safety knowledge graph of the nuclear magnetic resonance imaging device is constructed to obtain the basic data information of the user. The noise characteristic safety range of the current user is obtained through the noise safety knowledge graph of the nuclear magnetic resonance imaging device and the basic data information of the user, specifically: Obtain characteristic data information of the noise range that users can accept under basic data information through big data, introduce the Bayesian network, and input the characteristic data information of the noise range that users can accept under basic data information into the Bayesian network; The basic data information is used as the first node of the Bayesian network, the characteristic data information of the noise range acceptable to the user is used as the second node of the Bayesian network, and a directed acyclic graph is constructed based on the first node and the second node; Construct a noise safety knowledge graph for nuclear magnetic resonance imaging equipment, input the directed acyclic graph into the noise safety knowledge graph for nuclear magnetic resonance imaging equipment for data storage, and obtain basic data information of users; The user's basic data information is input into the noise safety knowledge graph of the magnetic resonance imaging device for data matching, the noise characteristic safety range of the current user is obtained, and the noise characteristic safety range of the current user is output.

[0034] Furthermore, in the data acquisition and image processing system of the magnetic resonance imaging device, the noise characteristic data of the current nuclear magnetic resonance imaging device is obtained, and an evaluation is performed based on the noise characteristic data of the current nuclear magnetic resonance imaging device and the noise characteristic safety range of the current user to obtain a safety evaluation result, specifically: Acquire noise characteristic data of the current nuclear magnetic resonance imaging device, and determine whether the noise characteristic data of the current nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user; When the noise characteristic data of the current nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, an abnormal safety evaluation result is generated; When the noise characteristic data of the current nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, a normal safety evaluation result is generated; An abnormal safety evaluation result or a normal safety evaluation result is output as an output result.

[0035] Furthermore, in the data acquisition and image processing system of the magnetic resonance imaging device, the working parameters of the current nuclear magnetic resonance imaging device are controlled according to the safety evaluation result, specifically including: If the safety evaluation result is an abnormal safety evaluation result, obtaining noise characteristic data of the nuclear magnetic resonance imaging device under each working parameter, and reselecting the configuration working parameters of the nuclear magnetic resonance imaging device according to the noise characteristic data of the nuclear magnetic resonance imaging device under each working parameter; Acquire noise characteristic data of the reconfigured nuclear magnetic resonance imaging device according to the configuration working parameters of the nuclear magnetic resonance imaging device and the noise characteristic data of the nuclear magnetic resonance imaging device under each working parameter; A genetic algorithm is introduced, and when the noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, genetic iteration is performed based on the genetic algorithm until it is within the noise characteristic safety range of the current user; The noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, the configuration working parameters of the nuclear magnetic resonance imaging device are output, and the nuclear magnetic resonance imaging device is controlled according to the configuration working parameters of the nuclear magnetic resonance imaging device.

[0036] Furthermore, in the data acquisition and image processing system of the magnetic resonance imaging device, the quality evaluation is performed on the image data information acquired by the nuclear magnetic resonance imaging device to obtain the quality evaluation result of each image data information, specifically including: By performing image segmentation on the image data information collected by the nuclear magnetic resonance imaging device, image data information of sub-regions collected by the nuclear magnetic resonance imaging device is obtained; Extracting resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device, setting resolution threshold data, and determining whether the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is greater than the resolution threshold data; When the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is not greater than the sub-region of the resolution threshold data, the corresponding sub-region is regarded as an abnormal image region; When the resolution information of the sub-region image data information collected by the magnetic resonance imaging device is greater than the sub-region of the resolution threshold data, the corresponding sub-region is regarded as a normal image region, and a quality evaluation result of each image data information is generated based on the normal image region and the abnormal image region.

[0037] Furthermore, in the data acquisition and image processing system of the magnetic resonance imaging device, image reconstruction is performed according to the quality evaluation result of each image data information to obtain the processed nuclear magnetic resonance image, specifically: Acquire abnormal image regions according to the quality evaluation result of each image data information, calculate the Mahalanobis distance value between the abnormal image regions, and determine whether the Mahalanobis distance value between the abnormal image regions is greater than a preset Mahalanobis distance threshold; When the Mahalanobis distance value between the abnormal image regions is greater than a preset Mahalanobis distance threshold, normal image data at the same position as the abnormal image region is obtained from other images; The abnormal image area is replaced by normal image data at the same position as the abnormal image area, and the replaced image data information is output as an output result to complete image reconstruction; When the Mahalanobis distance value between image areas without abnormalities is greater than the preset Mahalanobis distance threshold, image enhancement processing is performed on the abnormal image area until the resolution information of the sub-area image data information collected by the magnetic resonance imaging device is greater than the sub-area of ​​the resolution threshold data.

[0038] The third aspect of the present invention provides a computer-readable storage medium, including a data acquisition and image processing method program for a magnetic resonance imaging device, which, when executed by a processor, implements a technical solution for the data acquisition and image processing method for a magnetic resonance imaging device. In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0039] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0040] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0041] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0042] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0043] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for data acquisition and image processing of a magnetic resonance imaging device, characterized in that: The following steps are involved: Construct a noise safety knowledge graph of a nuclear magnetic resonance imaging device, obtain basic data information of a user, and obtain a noise characteristic safety range of the current user through the noise safety knowledge graph of the nuclear magnetic resonance imaging device and the basic data information of the user; Acquire noise characteristic data of the current nuclear magnetic resonance imaging device, and evaluate the noise characteristic safety range of the current nuclear magnetic resonance imaging device and the current user to obtain a safety evaluation result; Controlling working parameters of the current nuclear magnetic resonance imaging device according to the safety evaluation result, and obtaining image data information collected by a plurality of nuclear magnetic resonance imaging devices through the magnetic resonance imaging device after processing; The quality of the image data information collected by the nuclear magnetic resonance imaging device is evaluated, a quality evaluation result of each image data information is obtained, and image reconstruction is performed according to the quality evaluation result of each image data information to obtain a processed nuclear magnetic resonance image.

2. The data acquisition and image processing method of a magnetic resonance imaging device according to claim 1, characterized in that: Construct a noise safety knowledge graph of a nuclear magnetic resonance imaging device, obtain basic data information of a user, and obtain the noise characteristic safety range of the current user through the noise safety knowledge graph of the nuclear magnetic resonance imaging device and the basic data information of the user, specifically: Obtaining characteristic data information of the noise range acceptable to users under basic data information through big data, and introducing the Bayesian network to input the characteristic data information of the noise range acceptable to users under the basic data information into the Bayesian network; Using the basic data information as the first node of the Bayesian network, using the characteristic data information of the noise range acceptable to the user as the second node of the Bayesian network, and constructing a directed acyclic graph based on the first node and the second node; Constructing a noise safety knowledge graph for a nuclear magnetic resonance imaging device, inputting the directed acyclic graph into the noise safety knowledge graph for nuclear magnetic resonance imaging device for data storage, and obtaining basic data information of the user; The basic data information of the user is input into the noise safety knowledge graph of the nuclear magnetic resonance imaging device for data matching, the noise characteristic safety range of the current user is obtained, and the noise characteristic safety range of the current user is output.

3. The data acquisition and image processing method of a magnetic resonance imaging device according to claim 1, characterized in that: Acquire noise characteristic data of the current nuclear magnetic resonance imaging device, and evaluate the noise characteristic data of the current nuclear magnetic resonance imaging device and the noise characteristic safety range of the current user to obtain a safety evaluation result, specifically: Acquiring noise characteristic data of a current nuclear magnetic resonance imaging device, and determining whether the noise characteristic data of the current nuclear magnetic resonance imaging device is within a noise characteristic safety range of the current user; When the noise characteristic data of the current nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, an abnormal safety evaluation result is generated; When the noise characteristic data of the current nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, a normal safety evaluation result is generated; The abnormal safety evaluation result or the normal safety evaluation result is output as an output result.

4. The data acquisition and image processing method of a magnetic resonance imaging device according to claim 1, characterized in that: The working parameters of the current magnetic resonance imaging device are controlled according to the safety evaluation results, specifically including: If the safety evaluation result is an abnormal safety evaluation result, obtaining noise characteristic data of the nuclear magnetic resonance imaging device under each operating parameter, and reselecting the configuration operating parameters of the nuclear magnetic resonance imaging device according to the noise characteristic data of the nuclear magnetic resonance imaging device under each operating parameter; Acquire noise characteristic data of a reconfigured nuclear magnetic resonance imaging device according to the configuration operating parameters of the nuclear magnetic resonance imaging device and the noise characteristic data of the nuclear magnetic resonance imaging device under each operating parameter; Introducing a genetic algorithm, when the noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is not within the noise characteristic safety range of the current user, performing genetic iteration based on the genetic algorithm until the noise characteristic data is within the noise characteristic safety range of the current user; If the noise characteristic data of the reconfigured nuclear magnetic resonance imaging device is within the noise characteristic safety range of the current user, the configuration working parameters of the nuclear magnetic resonance imaging device are output, and the nuclear magnetic resonance imaging device is controlled according to the configuration working parameters of the nuclear magnetic resonance imaging device.

5. The data acquisition and image processing method of a magnetic resonance imaging device according to claim 1, characterized in that: The quality evaluation of the image data information collected by the nuclear magnetic resonance imaging device is performed to obtain the quality evaluation result of each image data information, specifically including: By performing image segmentation on the image data information collected by the nuclear magnetic resonance imaging device, image data information of sub-regions collected by the nuclear magnetic resonance imaging device is obtained; Extracting resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device, setting resolution threshold data, and determining whether the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is greater than the resolution threshold data; When the resolution information of the sub-region image data information collected by the nuclear magnetic resonance imaging device is not greater than the sub-region of the resolution threshold data, the corresponding sub-region is regarded as an abnormal image region; When the resolution information of the sub-region image data information collected by the magnetic resonance imaging device is greater than the sub-region of the resolution threshold data, the corresponding sub-region is used as a normal image region, and a quality evaluation result of each image data information is generated based on the normal image region and the abnormal image region.

6. The data acquisition and image processing method of a magnetic resonance imaging device according to claim 1, characterized in that: Perform image reconstruction according to the quality evaluation result of each image data information to obtain a processed nuclear magnetic resonance image, specifically: Acquire abnormal image regions according to the quality evaluation result of each image data information, calculate Mahalanobis distance values ​​between the abnormal image regions, and determine whether the Mahalanobis distance values ​​between the abnormal image regions are greater than a preset Mahalanobis distance threshold; When the Mahalanobis distance value between the abnormal image regions is greater than a preset Mahalanobis distance threshold, normal image data at the same position as the abnormal image region is acquired from other images; The abnormal image area is replaced by the normal image data at the same position as the abnormal image area, and the replaced image data information is output as an output result to complete image reconstruction; When the Mahalanobis distance value between the image areas without the abnormality is greater than the preset Mahalanobis distance threshold, image enhancement processing is performed on the abnormal image area until the resolution information of the sub-area image data information collected by the magnetic resonance imaging device is greater than the sub-area of ​​the resolution threshold data.

7. A data acquisition and image processing system for a magnetic resonance imaging device, characterized in that: The system includes a memory and a processor, wherein the memory includes a data acquisition and image processing method program for a magnetic resonance imaging device, and when the data acquisition and image processing method program for a magnetic resonance imaging device is executed by the processor, the steps of the data acquisition and image processing method for a magnetic resonance imaging device as described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium, characterized in that: It comprises a data acquisition and image processing method program of a magnetic resonance imaging device, and when the data acquisition and image processing method program of the magnetic resonance imaging device is executed by a processor, the steps of the data acquisition and image processing method of the magnetic resonance imaging device as described in any one of claims 1 to 6 are implemented.

Images