Coil position detection method and device, electronic equipment and storage medium

Abstract

The application provides a coil position detection method and device, electronic equipment and storage medium. The method comprises the following steps: acquiring an initial magnetic resonance data set of a target object pre-scanned by a target coil in a magnetic body center coverage range; performing uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set to obtain a corrected three-dimensional magnetic resonance data set; determining position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set; and determining a target center position and a target coverage range of the target coil based on the position information corresponding to each coil unit. The application performs coil position detection based on pre-scanned magnetic resonance data, reduces the scanning time, and improves the detection efficiency of magnetic resonance imaging.

Description

Technical Field

[0001] This application relates to the field of magnetic resonance imaging technology, and in particular to an electronic device, a method and apparatus for detecting the position of a coil, and a storage medium. Background Technology

[0002] Magnetic Resonance Imaging (MRI) is an imaging technique that utilizes the magnetic resonance phenomenon to reconstruct images based on the signals generated by the interaction between radio frequency signals and magnetic fields. MRI technology has developed rapidly with the advancements in modern computer technology, electronic circuit technology, and superconducting technology. With continuous improvements in MRI technology and its functionality, Whole-Body MRI (WB-MRI) has emerged. Whole-Body MRI is a multi-sequence imaging method that achieves a full-body scan by sampling multiple segments of the subject and stitching the images together. Compared to MRI, Whole-Body MRI overcomes the limitations of coil coverage in a single scan.

[0003] In a whole-body magnetic resonance imaging system, multiple coils are usually connected at the same time, and the determination of the coil position is of great significance to the imaging effect. In related technologies, the coil position is usually determined manually by the operator. However, the operator's experience is limited, which can lead to inaccurate coil position and is time-consuming and laborious, affecting the detection efficiency of magnetic resonance imaging. Summary of the Invention

[0004] This application provides a coil position detection method, apparatus, electronic device, and storage medium. The method can detect the coil position based on pre-scanned magnetic resonance data, reducing scanning time and improving the detection efficiency of magnetic resonance imaging.

[0005] In a first aspect, a method for detecting the position of a coil is provided, comprising: acquiring an initial magnetic resonance data set of the target coil corresponding to the target object within the coverage area of ​​the magnet center and performing pre-scanning processing on the target object; performing uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set to obtain a corrected three-dimensional magnetic resonance data set; determining the position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set; and determining the target center position and target coverage area of ​​the target coil based on the position information corresponding to each coil unit.

[0006] In the above technical solution, the initial magnetic resonance data set scanned by the target coil corresponding to the coverage area of ​​the magnet center during the pre-scanning process is obtained. Uniformity correction is performed on each initial magnetic resonance data set to obtain corrected three-dimensional magnetic resonance data corresponding to each initial magnetic resonance data set, forming a corrected three-dimensional magnetic resonance data set. Then, based on each corrected three-dimensional magnetic resonance data set, the position information corresponding to each coil unit in the target coil is determined, and based on the position information corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined. Thus, coil position detection is performed based on the pre-scanned magnetic resonance data, reducing scanning time and improving the detection efficiency of magnetic resonance imaging. Furthermore, obtaining three-dimensional magnetic resonance data by performing uniformity correction on the magnetic resonance data and determining the coil position based on the three-dimensional magnetic resonance data can improve the accuracy of coil position detection.

[0007] In conjunction with the first aspect, in some possible implementations, the target coil includes a first sub-coil and a second sub-coil. The first sub-coil includes multiple first coil sub-units, and the second sub-coil includes multiple second coil sub-units. Each coil unit in the target coil includes a first coil sub-unit and a second coil sub-unit corresponding to the same scanning position of the target object. A first initial magnetic resonance data set is acquired by pre-scanning the target object using the first sub-coil, and a second initial magnetic resonance data set is acquired by pre-scanning the target object using the second sub-coil. Each first coil sub-unit corresponds to a first initial magnetic resonance data in the first initial magnetic resonance data set, and each second coil sub-unit corresponds to a second initial magnetic resonance data in the second initial magnetic resonance data set. Based on the first and second initial magnetic resonance data sets, an initial magnetic resonance data set is obtained. Each coil unit corresponds to an initial magnetic resonance data in the initial magnetic resonance data set, and each initial magnetic resonance data includes a first initial magnetic resonance data and a second initial magnetic resonance data at the same scanning position of the target object.

[0008] Combining the first aspect and the above implementation methods, in some possible implementation methods, a first initial magnetic resonance data and a second initial magnetic resonance data corresponding to each initial magnetic resonance data are compared and fused respectively to obtain a corrected three-dimensional magnetic resonance data set, wherein each coil unit corresponds to a three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set.

[0009] Combining the first aspect and the above implementation methods, in some possible implementation methods, a three-dimensional discrete Fourier transform is performed on each three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set to obtain a three-dimensional transformed magnetic resonance data set; a preset processing is performed on each three-dimensional transformed magnetic resonance data in the three-dimensional transformed magnetic resonance data set to obtain a three-dimensional target magnetic resonance data set, wherein the preset processing includes at least one of normalization processing, noise reduction processing, and smoothing processing; based on the three-dimensional target magnetic resonance data set, the position information corresponding to each coil unit in the target coil is determined.

[0010] In the above technical solution, a three-dimensional transformed magnetic resonance data set is obtained by performing a three-dimensional discrete Fourier transform on each three-dimensional magnetic resonance data set, converting the frequency domain signal into a spatial domain signal. Then, a three-dimensional target magnetic resonance data set is obtained by performing preset processing on each three-dimensional transformed magnetic resonance data set. Finally, the position information corresponding to each coil unit is determined based on the three-dimensional target magnetic resonance data set, thereby determining the position of the coil based on the three-dimensional data. Compared with one-dimensional data, more spatial information of the coil unit can be obtained, thereby improving the accuracy of coil position detection.

[0011] Combining the first aspect and the above implementation methods, in some possible implementation methods, based on each three-dimensional target magnetic resonance data in the three-dimensional target magnetic resonance data set, a signal map corresponding to each coil unit is obtained; based on the signal map corresponding to each coil unit, the position information corresponding to each coil unit is determined.

[0012] Combining the first aspect and the above implementation methods, in some possible implementation methods, based on the position information corresponding to each coil unit, at least one projection map of each coil unit in spatial coordinates is obtained by discrete distributed integration calculation; based on at least one projection map, the center position and coverage area corresponding to each coil unit are obtained; based on the center position and coverage area corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined.

[0013] Combining the first aspect and the above implementation methods, in some possible implementation methods, based on the first direction projection map, the position corresponding to the first signal strength received by each coil unit is taken as the center position, and the range corresponding to the second signal strength received by each coil unit is taken as the coverage range, wherein the first signal strength is the maximum signal strength received by each coil unit, and the second signal strength is half of the first signal strength.

[0014] Secondly, a coil position detection device is provided, comprising:

[0015] The acquisition unit is used to acquire the initial magnetic resonance data set of the target object by the target coil within the coverage area of ​​the magnet center;

[0016] The correction unit is used to perform uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data set.

[0017] The first determining unit is used to determine the position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set;

[0018] The second determining unit is used to determine the target center position and target coverage area of ​​the target coil based on the position information corresponding to each coil unit.

[0019] Thirdly, an electronic device is provided, comprising:

[0020] Memory, used to store executable program code;

[0021] A processor is used to call and run executable program code from memory, enabling the electronic device to perform any of the above coil position detection methods.

[0022] Fourthly, a computer-readable storage medium is provided, which stores computer program code that, when run on a computer, implements any of the above-mentioned coil position detection methods. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a system architecture diagram of a coil position detection method provided in an embodiment of this application;

[0025] Figure 2 This is a schematic flowchart of a coil position detection method provided in an embodiment of this application;

[0026] Figure 3 This is a schematic flowchart of a coil position detection method provided in an embodiment of this application;

[0027] Figure 4 This is an example schematic diagram of a coil position detection method provided in an embodiment of this application;

[0028] Figure 5 This is an example schematic diagram of a coil position detection method provided in an embodiment of this application;

[0029] Figure 6 This is a schematic diagram of the structure of a coil position detection device provided in an embodiment of this application;

[0030] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application;

[0031] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0032] To make the features and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0033] In the following description, when referring to the accompanying drawings, the same numbers in different drawings denote the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0034] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0035] In a whole-body magnetic resonance imaging system, multiple coils are usually connected at the same time, and the determination of the coil position is of great significance to the imaging effect. In related technologies, the coil position is usually determined manually by the operator. However, the operator's experience is limited, which can lead to inaccurate coil position and is time-consuming and laborious, affecting the detection efficiency of magnetic resonance imaging.

[0036] To address the problems in the related technologies, this application provides a coil position detection method, which will be described in detail below. It should be noted that the order of description of the following embodiments is not intended to limit the preferred order of the embodiments.

[0037] Please see Figure 1 , Figure 1This is a system architecture diagram of a coil position detection method provided in an embodiment of this application. Figure 1 As shown, the electronic device 10 includes a processor 11, a target coil 18, and a magnet 19. The electronic device 10 can be a magnetic resonance whole-body imaging system. The processor 11 is electrically connected to the target coil 18, which serves as a receiving device. The magnetic field center coverage area of ​​the magnet 19 corresponds to that of the target coil 18. That is, the range of magnetic resonance data obtained by the target coil 18 through pre-scanning of the target object is the range covered by the magnetic field center of the magnet 19. The target object can be a human body (subject) or a water model.

[0038] Specifically, the processor 11 can control the target coil 19 within the magnetic field center coverage area of ​​the magnet 19 to acquire the initial magnetic resonance data set for pre-scanning the target object. By performing uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set, a corrected three-dimensional magnetic resonance data set is obtained. Then, based on the three-dimensional magnetic resonance data set, the position information corresponding to each coil unit in the target coil is determined. Finally, based on the position information corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined.

[0039] In related technologies, the position of the coil is usually determined manually by the operator. However, the operator's experience may lead to inaccurate coil positioning, and this is time-consuming and labor-intensive, affecting the detection efficiency of magnetic resonance imaging.

[0040] This application obtains the initial magnetic resonance data set of the target object scanned during the pre-scanning process by acquiring the target coil 18 corresponding to the magnetic field center coverage area of ​​the magnet 19. It then performs uniformity correction processing on each initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data corresponding to each initial magnetic resonance data, forming a corrected three-dimensional magnetic resonance data set. Based on each corrected three-dimensional magnetic resonance data set, it determines the position information corresponding to each coil unit in the target coil 18, and based on the position information corresponding to each coil unit, determines the target center position and target coverage area of ​​the target coil 18. Thus, during the detection process of the whole-body magnetic resonance imaging system, the target center position of the target coil can be mapped onto the patient bed. By adjusting the position of the patient bed, the target center position and target coverage area are moved to the magnetic field center coverage area of ​​the magnet 19, thereby automatically selecting the appropriate coil unit within the target coil for detection. This simplifies the operator's workflow, avoids the inaccuracy of manually selecting the positioning coil position, and improves the detection efficiency of magnetic resonance imaging.

[0041] Furthermore, using pre-scanned magnetic resonance (MRI) data for coil position detection reduces scanning time and further improves the detection efficiency of MRI. Moreover, obtaining three-dimensional MRI data through homogeneity correction and determining the coil position based on this data improves the accuracy of coil position detection.

[0042] based on Figure 1 The system architecture shown below will be combined with... Figures 2-7 This application provides a detailed description of a coil position detection method according to an embodiment.

[0043] Please see Figure 2 , Figure 2 This is a schematic flowchart of a coil position detection method provided in an embodiment of this application. Figure 2 As shown, the method in this application embodiment may include the following steps S101-S104.

[0044] S101, Obtain the initial magnetic resonance data set of the target object by the target coil corresponding to the coverage area of ​​the magnet center for pre-scanning processing.

[0045] In this embodiment, the coil position detection method can be applied to a magnetic resonance imaging (MRI) system or a whole-body MRI system. The target object can be a human body (subject) or a water phantom. The imaging principle of the MRI system or WB-MRI system is as follows: the target object has a high content and wide distribution of hydrogen nuclei. These hydrogen nuclei act as magnets, spinning randomly. If the target object is placed in a strong static magnetic field, the hydrogen nuclei will align systematically according to the direction of the magnetic field. When a radio frequency (RF) pulse is applied to the strong static magnetic field, the hydrogen nuclei absorb energy as RF signals, resulting in magnetic resonance. After the RF pulse is stopped, the hydrogen nuclei return to their initial state and generate a signal. This signal is amplified by an RF amplifier and received by the coil of the MRI system or WB-MRI system. The desired image is obtained by processing and reconstructing the data from this RF signal. Therefore, magnets and coils are essential in MRI or WB-MRI systems. Magnets are used to apply strong static magnetic fields, and coils are used to receive RF signals.

[0046] It should be noted that in the imaging process of an MRI system or a WB-MRI system, pre-scanning is a step used to acquire basic information on the structure and tissue characteristics of the human body (subject) or water phantom, in order to determine the optimal imaging parameters to achieve high-quality imaging results. The functions of pre-scanning include: locating the area of ​​the target object requiring detailed imaging; calibrating imaging parameters to optimize subsequent imaging quality; and reducing motion artifacts caused by motion during subsequent imaging, thereby improving image quality. Based on this, the embodiments of this application reuse the magnetic resonance data acquired during the pre-scanning process for coil position detection, thus eliminating the need to add a new scanning sequence for coil position detection, thereby reducing scanning time and improving the efficiency of magnetic resonance imaging.

[0047] Specifically, an initial magnetic resonance data set is acquired to pre-scan the target object, and the position of the target coil is detected based on this initial magnetic resonance data set. This initial magnetic resonance data set corresponds to the set of initial magnetic resonance data acquired by the target coil within a preset range that can be covered by the magnetic field center of the magnet. The size of the coil itself may exceed this preset range, but the acquired initial magnetic resonance data set only includes the initial magnetic resonance data acquired by the target coil within this preset range.

[0048] S102, perform uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data set.

[0049] Optionally, the target coil may include a surface coil, a body coil, or a combination of surface and body coils. Both the body and surface coils have high signal-to-noise ratios. The body coil is a coil that surrounds the entire area to be detected of the target object and is used for imaging large-scale tissues or organs, such as the head, chest, or abdomen of the target object. Since the body coil is a single-channel coil, the magnetic resonance data acquired by the body coil has better uniformity. The surface coil is a coil that is close to or in direct contact with the surface of the target object and is used for imaging local tissues or organs, such as the brain, shoulder, waist, joints, spine, or limbs of the target object. Since the surface coil is a multi-channel coil, and the signal of the surface coil gradually decreases as the distance from the center coverage area of ​​the magnet increases, the magnetic resonance data acquired by the surface coil affects the uniformity of the image. The surface coil can be a planar coil. It should be noted that although the uniformity of magnetic resonance data acquired by surface coils is not as good as that acquired by volume coils, surface coils have local imaging capabilities, good flexibility and customization compared to volume coils. Furthermore, because surface coils can receive signals through multiple channels, each channel unit can receive signals independently and improve spatial resolution through phase encoding, thereby improving imaging quality and speed.

[0050] Therefore, the target coil in this embodiment can be a combination of a body coil and a surface coil, and uniformity correction processing is performed based on the magnetic resonance data collected by the body coil and the surface coil respectively. The corrected magnetic resonance data can further improve the imaging quality.

[0051] Specifically, each initial magnetic resonance (MRI) data point in the initial MRI dataset can include MRI data acquired by a sub-coil unit in the body coil and MRI data acquired by a sub-coil unit in the surface coil. The MRI data acquired by the sub-coil unit in the body coil and the sub-coil unit in the surface coil are compared and fused to obtain a corrected three-dimensional MRI dataset. By performing the above processing on each initial MRI data point in the initial MRI dataset, a corrected three-dimensional MRI dataset is obtained. Here, a sub-coil unit in the body coil and a sub-coil unit in the surface coil correspond to the same scanning position of the target object; that is, the MRI data acquired by a sub-coil unit in the body coil and the MRI data acquired by a sub-coil unit in the surface coil are initial MRI data for the same scanning position of the target object.

[0052] It should be noted that the comparison of magnetic resonance data acquired from a sub-coil unit in the body coil and magnetic resonance data acquired from a sub-coil unit in the surface coil is to remove data that is at the edge or defective in the surface coil, and to further perform fusion processing so that an initial magnetic resonance data uniformity correction process can be processed into a corrected three-dimensional magnetic resonance data.

[0053] S103, based on the three-dimensional magnetic resonance data set, determines the position information corresponding to each coil unit in the target coil.

[0054] It should be noted that each 3D magnetic resonance data point in the 3D magnetic resonance dataset is a frequency domain signal. To determine the position information of each coil unit in the target coil based on the 3D magnetic resonance dataset, each 3D magnetic resonance data point needs to be converted from a frequency domain signal to a spatial domain signal. Specifically, a 3D discrete Fourier transform is performed on each 3D magnetic resonance data point in the 3D magnetic resonance dataset to obtain a 3D transformed magnetic resonance dataset, which is then used to determine the position information of each coil unit. The target coil may include a first sub-coil and a second sub-coil. The first sub-coil can be a surface coil, and the second sub-coil can be a volume coil. The first sub-coil may include multiple first coil sub-units, and the second sub-coil may include multiple second coil sub-units. Each coil unit in the target coil may include one first coil sub-unit and one second coil sub-unit corresponding to the same scanning position of the target object. Specifically, each initial magnetic resonance data point in the initial magnetic resonance dataset may include magnetic resonance data acquired by one first coil sub-unit of the volume coil (i.e., the first sub-coil) and one second coil sub-unit of the surface coil (i.e., the second sub-coil) at the same scanning position of the target object.

[0055] It is understandable that, in order to further improve the imaging effect, each three-dimensional transform magnetic resonance data in the three-dimensional transform magnetic resonance data set can be subjected to preset processing to obtain a three-dimensional target magnetic resonance data set. The preset processing can include at least one of normalization processing, noise reduction processing, and smoothing processing.

[0056] At this point, based on each 3D target magnetic resonance data point in the 3D target magnetic resonance dataset, a signal map corresponding to each coil unit is obtained; based on the signal map corresponding to each coil unit, the position information corresponding to each coil unit is determined, wherein one 3D target magnetic resonance data point corresponds to one coil unit. For example, by using the image coordinates of the target area and the positioning direction of the target object displayed in the signal map corresponding to a coil unit, the spatial position information corresponding to that coil unit is obtained.

[0057] S104, based on the position information corresponding to each coil unit, determines the target center position and target coverage area of ​​the target coil.

[0058] Specifically, based on the location information corresponding to each coil unit, at least one projection map of each coil unit in spatial coordinates is obtained through discrete distributed integration calculation; based on at least one projection map, the center position and coverage area corresponding to each coil unit can be obtained; based on the center position and coverage area corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined.

[0059] It should be noted that the x-axis corresponds to the direction from the left shoulder to the right shoulder of the target object, the y-axis corresponds to the direction from the head to the feet of the target object, and the z-axis corresponds to the direction from the chest to the back of the target object. For example, at least one projection map of each coil unit in spatial coordinates can be the projection map corresponding to the z-axis. Based on the projection map corresponding to the z-axis, the position corresponding to the signal with the maximum signal strength received by each coil unit is taken as the center position of the coil unit, and the range corresponding to half of the maximum signal strength that each coil unit can receive is taken as the coverage area of ​​the coil unit.

[0060] After obtaining the center position and coverage area of ​​each coil unit in the target coil, the target center position of the target coil can be determined based on the center position of each coil unit, and the target coverage area of ​​the target coil can be determined based on the coverage area of ​​each coil unit.

[0061] As shown above, by acquiring the initial magnetic resonance data set of the target object scanned during the pre-scanning process by the target coil corresponding to the magnetic field center coverage area of ​​the magnet, uniformity correction processing is performed on each initial magnetic resonance data in the initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data corresponding to each initial magnetic resonance data, forming a corrected three-dimensional magnetic resonance data set. Then, based on each corrected three-dimensional magnetic resonance data, the position information corresponding to each coil unit in the target coil is determined, and based on the position information corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined. Thus, during the detection process of the whole-body magnetic resonance imaging system, the target center position of the target coil can be mapped onto the patient bed. By adjusting the position of the patient bed, the target center position and target coverage area are moved to the magnetic field center coverage area of ​​the magnet, thereby automatically selecting the appropriate coil unit in the target coil for detection. This simplifies the operator's operation process, avoids the inaccuracy of manually selecting the positioning coil position, and improves the detection efficiency of magnetic resonance imaging.

[0062] Furthermore, using pre-scanned magnetic resonance (MRI) data for coil position detection reduces scanning time and further improves the detection efficiency of MRI. Moreover, obtaining three-dimensional MRI data through homogeneity correction and determining the coil position based on this data improves the accuracy of coil position detection.

[0063] Please see Figure 3 , Figure 3 This is a schematic flowchart of a coil position detection method provided in an embodiment of this application. Figure 3 As shown, the method in this application embodiment may include the following steps S201-S209.

[0064] S201, Obtain the initial magnetic resonance data set of the target object by the target coil corresponding to the coverage area of ​​the magnet center for pre-scanning processing.

[0065] In this embodiment, during the imaging process of an MRI system or a WB-MRI system, pre-scanning is a step used to acquire basic information about the structure and tissue characteristics of the human body (subject) or water phantom, in order to determine the optimal imaging parameters to achieve subsequent high-quality imaging results. Based on this, this embodiment reuses the magnetic resonance data acquired during the pre-scanning process for coil position detection, thereby eliminating the need to add a new scanning sequence for coil position detection, thus reducing scanning time and improving the efficiency of magnetic resonance imaging.

[0066] Specifically, an initial magnetic resonance (MRI) data set is acquired by pre-scanning the target object using the target coil within the coverage area of ​​the magnet center. The target coil may include a first sub-coil and a second sub-coil. The first sub-coil can be a surface coil, and the second sub-coil can be a body coil. The first sub-coil may include multiple first coil sub-units, and the second sub-coil may include multiple second coil sub-units. Each coil unit in the target coil may include one first coil sub-unit and one second coil sub-unit corresponding to the same scanning position of the target object. Specifically, each initial MRI data set may include MRI data acquired by one first coil sub-unit of the body coil (i.e., the first sub-coil) and one second coil sub-unit of the surface coil (i.e., the second sub-coil). The MRI data acquired by one first coil sub-unit of the body coil and one second coil sub-unit of the surface coil constitutes one initial MRI data set for the same scanning position of the target object. Optionally, in this embodiment, the target coil may be a combination of a body coil and a surface coil, and uniformity correction processing is performed on the MRI data acquired by the body coil and the surface coil, respectively. The resulting corrected MRI data can further improve imaging quality.

[0067] In some embodiments, the first sub-coil can be a surface coil, and the second sub-coil can be a volume coil. A first initial magnetic resonance (MRI) data set is acquired by pre-scanning the target object using the first sub-coil, and a second initial MRI data set is acquired by pre-scanning the target object using the second sub-coil. An initial MRI data set is obtained based on the first and second initial MRI data sets. Each coil unit in the target coil corresponds to one initial MRI data point in the initial MRI data set, each first coil sub-unit corresponds to one first initial MRI data point in the first initial MRI data set, and each second coil sub-unit corresponds to one second initial MRI data point in the second initial MRI data set. That is, each initial MRI data point includes one first initial MRI data point and one second initial MRI data point corresponding to the same location on the target object. The first initial MRI data acquired by the first sub-coil can be three-dimensional MRI data from a surface coil, and the second initial MRI data acquired by the second sub-coil can be three-dimensional MRI data from a volume coil.

[0068] It is understandable that, within the coverage area of ​​the magnet center, during the pre-scanning process of the same detection area of ​​the target object based on the target coil, a first initial magnetic resonance data collected by a first sub-coil unit in the first sub-coil corresponds to a second initial magnetic resonance data collected by a second sub-coil unit in the second sub-coil. The first initial magnetic resonance data and the second initial magnetic resonance data are signals collected at the same scanning position of the target object, that is, the initial magnetic resonance data corresponding to this position corresponds to a set of first initial magnetic resonance data and second initial magnetic resonance data.

[0069] In some embodiments, the target coil can be arranged in a phased array manner to improve signal reception and spatial resolution, such as linear, ring, area array, or hybrid arrangements. A linear arrangement consists of multiple coil units arranged on the same plane, which can be of the same or different sizes. Linear arrangements are suitable for imaging tissues or organs arranged in a straight line, such as blood vessels or joints. A ring arrangement consists of multiple coil units arranged in a ring structure, providing more uniform signal reception and a wider imaging coverage. Ring arrangements are suitable for imaging circular or spherical structures, such as the head or joints. An area array arrangement consists of multiple coil units arranged on a plane, covering the entire imaging area, providing better signal reception efficiency and better spatial resolution. Area array arrangements are suitable for imaging planar or complex structures, such as the brain or torso. A hybrid arrangement combines the above different layout types, flexibly combining them according to specific imaging needs to obtain the best imaging effect.

[0070] S202, perform uniformity correction processing on each magnetic resonance data in the initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data set.

[0071] Specifically, the first initial magnetic resonance data and the second initial magnetic resonance data corresponding to each initial magnetic resonance data are compared and fused to obtain a corrected three-dimensional magnetic resonance data set, wherein each coil unit corresponds to a three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set.

[0072] It should be noted that the comparison of a first initial magnetic resonance data and a second initial magnetic resonance data is to remove edge or defective data from the first initial magnetic resonance data acquired by the first sub-coil, i.e., the surface coil. Furthermore, the first initial magnetic resonance data and the second initial magnetic resonance data after removing defective data are fused together, so that an initial magnetic resonance data is converted into a corrected three-dimensional magnetic resonance data after uniformity correction, thereby improving the uniformity of the magnetic resonance data and the imaging quality.

[0073] S203, Perform a three-dimensional discrete Fourier transform on each three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set to obtain a three-dimensional transformed magnetic resonance data set.

[0074] It should be noted that each 3D magnetic resonance data point in the dataset is a frequency domain signal. To determine the position information of each coil element in the target coil based on this dataset, each 3D magnetic resonance data point needs to be converted from a frequency domain signal to a spatial domain signal. Specifically, a 3D discrete Fourier transform is performed on each 3D magnetic resonance data point to obtain a 3D transformed magnetic resonance dataset, which is then used to determine the position information of each coil element.

[0075] S204, perform preset processing on each three-dimensional transformed magnetic resonance data in the three-dimensional transformed magnetic resonance data set to obtain a three-dimensional target magnetic resonance data set.

[0076] The preset processing includes at least one of normalization processing, noise reduction processing, and smoothing processing.

[0077] In some embodiments, each 3D transform magnetic resonance (DMR) data in the 3D transform magnetic resonance (DMR) dataset is normalized to adjust the distribution range of each DMR data to a specific standard range, such as normalizing the DMR data to the range [0, 1]. Each normalized DMR data is then subjected to noise reduction processing to reduce noise interference, such as removing data below a preset threshold of 0.3. Each normalized and noise-reduced DMR data is then filtered to make the imaging effect smoother, such as by performing Fermi filtering, thereby obtaining a 3D target magnetic resonance dataset.

[0078] S205, based on each three-dimensional target magnetic resonance data in the three-dimensional target magnetic resonance data set, obtains the signal map corresponding to each coil unit.

[0079] Optionally, based on each 3D target magnetic resonance data point in the 3D target magnetic resonance dataset, a signal map corresponding to each coil unit is obtained. The signal map for each coil unit displays at least the image coordinates of the target region and the positioning direction of the target object, thereby obtaining the position information corresponding to that coil unit based on the image coordinates of the target region and the positioning direction of the target object. Please refer to [link to relevant documentation]. Figure 4 , Figure 4 This is an example schematic diagram of a coil position detection method provided in an embodiment of this application. Figure 4 As shown, the image coordinates of the target area can correspond to the image coordinates of the upper left corner of the signal image, that is, the image coordinates of the upper left corner are S(S x ,S y ,S z The positioning direction of the target object can be IOP(X). x ,X y ,X z ,Y x ,Y y ,Y z ).

[0080] S206, based on the signal diagram corresponding to each coil unit, determines the position information corresponding to each coil unit.

[0081] Optionally, the position information corresponding to each coil unit is obtained based on the image coordinates of the target area indicated by the signal map corresponding to each coil unit and the positioning direction of the target object. Then, the position information corresponding to each coil unit is P(P x ,P y ,P z The formula for calculating ) is:

[0082]

[0083] S207, based on the position information corresponding to each coil unit, at least one projection map of each coil unit in spatial coordinates is obtained by discrete distributed integration calculation.

[0084] For each coil unit, the corresponding position information P(P) x ,P y ,P z At least one projection image of each coil unit in spatial coordinates is obtained through discrete distributed integration calculation. For example, discrete integrated projection images of each coil unit in the x-axis, y-axis, and z-axis are obtained through discrete distributed integration calculation. Based on position information P(P x ,P y ,P z The formula for calculating the discrete integral projection diagram is:

[0085]

[0086]

[0087]

[0088] Among them, I x Discrete integral projection plot under the x-axis, I y Discrete integral projection plot under the y-axis, I z This is the discrete integral projection diagram under the z-axis.

[0089] S208, based on at least one projection map, obtain the center position and coverage area corresponding to each coil unit.

[0090] In some embodiments, at least one projection map may include a first direction projection map. Based on the first direction projection map, the position corresponding to the first signal strength received by each coil unit is taken as the center position, and the range corresponding to the second signal strength received by each coil unit is taken as the coverage range. The first signal strength is the maximum signal strength received by each coil unit, and the second signal strength is half of the first signal strength.

[0091] Please see Figure 5 , Figure 5 This is an example schematic diagram of a coil position detection method provided in an embodiment of this application, such as... Figure 5The diagram shows a projection of one of the coil units 20 of the target coil in the first direction. The horizontal axis represents position, and the vertical axis represents signal strength. This first-direction projection corresponds to a discrete integral projection on the z-axis. Since the first signal strength is the maximum signal strength received by coil unit 20, point A represents the first signal strength, with a corresponding vertical axis of signal strength 2. The horizontal axis corresponding to point A is point B, which is the center position of coil unit 20. Since the second signal strength is half of the maximum signal strength received by coil unit 20, points C1 and C2 represent the second signal strength, with corresponding vertical axes of signal strength 1. The horizontal axes corresponding to points C1 and C2 are points D1 and D2, respectively. The area covered by a circle with a diameter *w* between points D1 and D2 is the coverage area of ​​coil unit 20.

[0092] It is understandable that at least one projection map may include a second-direction projection map and a third-direction projection map. The second-direction projection map corresponds to the discrete integral projection map under the x-axis, and the third-direction projection map corresponds to the discrete integral projection map under the y-axis. The method for calculating the center position and coverage area of ​​each coil unit based on the second-direction projection map and the third-direction projection map can be the same as the method for calculating the first-direction projection map. However, considering that the detection process of the target object involves detecting the target object's tissue or organ, the x-axis corresponds to the direction from the left shoulder to the right shoulder, the y-axis corresponds to the direction from the head to the feet, and the z-axis corresponds to the direction from the chest to the back. Therefore, the area presented by the image is closer to the discrete integral projection map under the z-axis. Thus, when calculating the center position and coverage area of ​​each coil unit, it is possible to calculate based only on the discrete integral projection map under the z-axis.

[0093] S209, based on the center position and coverage area corresponding to each coil unit, determines the target center position and target coverage area of ​​the target coil.

[0094] After obtaining the center position and coverage area of ​​each coil unit in the target coil, the target center position and target coverage area of ​​the target coil can be determined based on the center position and coverage area of ​​each coil unit. The formula for calculating the target center position C of the target coil is:

[0095]

[0096] The formula for calculating the target coverage area W of the target coil is:

[0097] W = Max(C i (x,y,z)-min(C i (x,y,z))

[0098] It should be noted that the target center position of the target coil can be calculated as follows: obtain the center position of each coil unit, arrange the maximum signal strength corresponding to the center position in descending order, select a preset number of center positions corresponding to a preset number of coil units, and use the two center positions on the left and right sides of the preset number of center positions as boundaries. Then, take the midpoint of the two boundaries as the target center position. The preset number can be 3, 4, 5, etc. Of course, other calculation methods can also be used to calculate the target center position. There are no specific limitations here, and appropriate settings can be made according to the actual situation.

[0099] The target coverage area of ​​the target coil is calculated as follows: Select the first coil unit with the largest coverage area and the second coil unit with the smallest coverage area from the target coil, and calculate the difference between the coverage area corresponding to the first coil unit and the coverage area corresponding to the second coil unit to obtain the target coverage area of ​​the target coil.

[0100] As shown above, by acquiring the initial magnetic resonance data set of the target object scanned during the pre-scanning process by the target coil corresponding to the magnetic field center coverage area of ​​the magnet, uniformity correction processing is performed on each initial magnetic resonance data in the initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data corresponding to each initial magnetic resonance data, forming a corrected three-dimensional magnetic resonance data set. Then, based on each corrected three-dimensional magnetic resonance data, the position information corresponding to each coil unit in the target coil is determined, and based on the position information corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined. Thus, during the detection process of the whole-body magnetic resonance imaging system, the target center position of the target coil can be mapped onto the patient bed. By adjusting the position of the patient bed, the target center position and target coverage area are moved to the magnetic field center coverage area of ​​the magnet, thereby automatically selecting the appropriate coil unit in the target coil for detection. This simplifies the operator's operation process, avoids the inaccuracy of manually selecting the positioning coil position, and improves the detection efficiency of magnetic resonance imaging.

[0101] Furthermore, using pre-scanned magnetic resonance (MRI) data for coil position detection reduces scanning time and further improves the detection efficiency of MRI. Moreover, obtaining three-dimensional MRI data through homogeneity correction and determining the coil position based on this data improves the accuracy of coil position detection.

[0102] based on Figure 1 The system architecture will be discussed below. Figure 6 This application provides a detailed description of the coil position detection device provided in the embodiments. It should be noted that... Figure 6 The coil position detection device in the present application is used to perform the operation of this application. Figures 2-5The methods shown in the embodiments are for illustrative purposes only, illustrating the parts relevant to the embodiments of this application. For specific technical details not disclosed, please refer to this application. Figures 2-5 The example shown.

[0103] Please see Figure 6 , Figure 6 This is a schematic diagram of a coil position detection device according to an embodiment of this application. The coil position detection device 300 can be applied to electronic devices. The coil position detection device 300 may include an acquisition unit 301, a correction unit 302, a first determination unit 303, and a second determination unit 304, as detailed below:

[0104] Acquisition unit 301 is used to acquire the initial magnetic resonance data set of the target object by the target coil corresponding to the coverage area of ​​the magnet center for pre-scanning processing of the target object;

[0105] The correction unit 302 is used to perform uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data set.

[0106] The first determining unit 303 is used to determine the position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set;

[0107] The second determining unit 304 is used to determine the target center position and target coverage area of ​​the target coil based on the position information corresponding to each coil unit.

[0108] In some embodiments, the target coil includes a first sub-coil and a second sub-coil. The first sub-coil includes a plurality of first coil sub-units, and the second sub-coil includes a plurality of second coil sub-units. Each coil unit in the target coil includes a first coil sub-unit and a second coil sub-unit corresponding to the same scanning position of the target object. The acquisition unit 301 can also be used to: acquire a first initial magnetic resonance data set of the target object pre-scanned by the first sub-coil, and a second initial magnetic resonance data set of the target object pre-scanned by the second sub-coil, wherein each first coil sub-unit corresponds to a first initial magnetic resonance data in the first initial magnetic resonance data set, and each second coil sub-unit corresponds to a second initial magnetic resonance data in the second initial magnetic resonance data set; and obtain an initial magnetic resonance data set based on the first and second initial magnetic resonance data sets, wherein each coil unit corresponds to an initial magnetic resonance data in the initial magnetic resonance data set, and each initial magnetic resonance data includes a first initial magnetic resonance data and a second initial magnetic resonance data at the same scanning position of the target object.

[0109] In some embodiments, the correction unit 302 can also be used to: compare and fuse a first initial magnetic resonance data and a second initial magnetic resonance data corresponding to each initial magnetic resonance data to obtain a corrected three-dimensional magnetic resonance data set, wherein each coil unit corresponds to a three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set.

[0110] In some embodiments, the first determining unit 303 may further be used to: perform a three-dimensional discrete Fourier transform on each three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set to obtain a three-dimensional transformed magnetic resonance data set; perform a preset processing on each three-dimensional transformed magnetic resonance data in the three-dimensional transformed magnetic resonance data set to obtain a three-dimensional target magnetic resonance data set, wherein the preset processing includes at least one of normalization processing, noise reduction processing, and smoothing processing; and determine the position information corresponding to each coil unit in the target coil based on the three-dimensional target magnetic resonance data set.

[0111] Optionally, the first determining unit 303 can also be used to: obtain a signal map corresponding to each coil unit based on each three-dimensional target magnetic resonance data in the three-dimensional target magnetic resonance data set; and determine the position information corresponding to each coil unit based on the signal map corresponding to each coil unit.

[0112] In some embodiments, the second determining unit 304 may also be used to: obtain at least one projection map of each coil unit in spatial coordinates by discrete distributed integration calculation based on the position information corresponding to each coil unit; obtain the center position and coverage area corresponding to each coil unit based on the at least one projection map; and determine the target center position and target coverage area of ​​the target coil based on the center position and coverage area corresponding to each coil unit.

[0113] Optionally, the second determining unit 304 can also be used to: based on the first direction projection map, take the position corresponding to the first signal strength received by each coil unit as the center position, and the range corresponding to the second signal strength received by each coil unit as the coverage range, wherein the first signal strength is the maximum signal strength received by each coil unit, and the second signal strength is half of the first signal strength.

[0114] It should be noted that the coil position detection device provided in this application embodiment and the coil position detection method in the above embodiment belong to the same concept. Any of the methods provided in the coil position detection method embodiment can be run on the coil position detection device. For details of its implementation process, please refer to the coil position detection method embodiment, which will not be repeated here.

[0115] As shown above, the initial magnetic resonance (MRI) data set scanned by the target coil corresponding to the coverage area of ​​the magnet center during the pre-scanning process is obtained. Uniformity correction is then performed on each initial MRI data set to obtain corrected 3D MRI data for each initial MRI data set, forming a corrected 3D MRI data set. Based on each corrected 3D MRI data set, the position information corresponding to each coil unit in the target coil is determined, and based on the position information of each coil unit, the target center position and target coverage area of ​​the target coil are determined. Thus, coil position detection is performed based on the pre-scanned MRI data, reducing scanning time and improving the detection efficiency of MRI. Furthermore, obtaining 3D MRI data through uniformity correction and determining the coil position based on this 3D MRI data improves the accuracy of coil position detection.

[0116] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 7 As shown, the electronic device 10 includes a processor 11 and a memory 12. The processor 11 and the memory 12 are electrically connected.

[0117] The processor 11 is the control center of the electronic device 10 and may include one or more processing cores. The processor 11 connects to various parts of the electronic device 10 using various interfaces and lines. By running or calling computer programs stored in the memory 12, and by calling data stored in the memory 12, it executes various functions and processes data of the electronic device 10, thereby providing overall control over the electronic device 10. Optionally, the processor 11 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 11 may integrate one or more of the following: CPU, Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user page, and applications; the GPU is responsible for rendering and drawing the displayed content; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 11 and may be implemented separately using a communication chip.

[0118] The memory 12 can be used to store software programs and modules. The processor 11 executes various functional applications and data processing by running the computer programs and modules stored in the memory 12. The memory 12 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, computer programs required for at least one function, etc.; the data storage area may store data created according to the use of the electronic device, etc.

[0119] Furthermore, memory 12 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory 12 may also include a memory controller to provide processor 11 with access to memory 12.

[0120] In this embodiment, the processor 11 in the electronic device 10 loads the instructions corresponding to the processes of one or more computer programs into the memory 12 according to the following steps, and the processor 11 runs the computer programs stored in the memory 12 to realize various functions, as follows:

[0121] The process involves: acquiring an initial magnetic resonance (MIR) dataset of the target object from the target coil within the coverage area of ​​the magnet center; performing uniformity correction on each initial MIR dataset to obtain a corrected three-dimensional MIR dataset; determining the position information of each coil unit in the target coil based on the three-dimensional MIR dataset; and determining the target center position and target coverage area of ​​the target coil based on the position information of each coil unit.

[0122] Optionally, the target coil includes a first sub-coil and a second sub-coil. The first sub-coil includes multiple first coil sub-units, and the second sub-coil includes multiple second coil sub-units. Each coil unit in the target coil includes a first coil sub-unit and a second coil sub-unit corresponding to the same scanning position of the target object. When the processor 11 executes the acquisition of the initial magnetic resonance data set of the target object corresponding to the target coil within the coverage area of ​​the magnet center, it specifically performs the following: acquiring the first initial magnetic resonance data set of the target object pre-scanned by the first sub-coil and the second initial magnetic resonance data set of the target object pre-scanned by the second sub-coil, wherein each first coil sub-unit corresponds to a first initial magnetic resonance data in the first initial magnetic resonance data set, and each second coil sub-unit corresponds to a second initial magnetic resonance data in the second initial magnetic resonance data set; and based on the first and second initial magnetic resonance data sets, obtaining an initial magnetic resonance data set, wherein each coil unit corresponds to an initial magnetic resonance data in the initial magnetic resonance data set, and each initial magnetic resonance data includes a first initial magnetic resonance data and a second initial magnetic resonance data at the same scanning position of the target object.

[0123] Optionally, when the processor 11 performs uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set to obtain a corrected three-dimensional magnetic resonance data set, it specifically performs the following: comparing and fusing a first initial magnetic resonance data and a second initial magnetic resonance data corresponding to each initial magnetic resonance data to obtain a corrected three-dimensional magnetic resonance data set, wherein each coil unit corresponds to a three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set.

[0124] Optionally, when the processor 11 determines the position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set, it specifically performs the following: performs a three-dimensional discrete Fourier transform on each three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set to obtain a three-dimensional transformed magnetic resonance data set; performs preset processing on each three-dimensional transformed magnetic resonance data in the three-dimensional transformed magnetic resonance data set to obtain a three-dimensional target magnetic resonance data set, wherein the preset processing includes at least one of normalization processing, noise reduction processing, and smoothing processing; and determines the position information corresponding to each coil unit in the target coil based on the three-dimensional target magnetic resonance data set.

[0125] Optionally, when the processor 11 executes the process of determining the position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set, it specifically performs the following: obtaining the signal map corresponding to each coil unit based on each three-dimensional target magnetic resonance data in the three-dimensional target magnetic resonance data set; and determining the position information corresponding to each coil unit based on the signal map corresponding to each coil unit.

[0126] Optionally, when the processor 11 determines the target center position and target coverage area of ​​the target coil based on the position information corresponding to each coil unit, it specifically performs the following: based on the position information corresponding to each coil unit, it calculates at least one projection map of each coil unit in spatial coordinates through discrete distributed integration; based on the at least one projection map, it obtains the center position and coverage area corresponding to each coil unit; based on the center position and coverage area corresponding to each coil unit, it determines the target center position and target coverage area of ​​the target coil.

[0127] Optionally, when the processor 11 determines the target center position and target coverage area of ​​the target coil based on the position information corresponding to each coil unit, it specifically performs the following: based on the first direction projection map, the position corresponding to the first signal strength received by each coil unit is taken as the center position, and the range corresponding to the second signal strength received by each coil unit is taken as the coverage area, wherein the first signal strength is the maximum signal strength received by each coil unit, and the second signal strength is half of the first signal strength.

[0128] As shown above, the initial magnetic resonance (MRI) data set scanned by the target coil corresponding to the coverage area of ​​the magnet center during the pre-scanning process is obtained. Uniformity correction is then performed on each initial MRI data set to obtain corrected 3D MRI data for each initial MRI data set, forming a corrected 3D MRI data set. Based on each corrected 3D MRI data set, the position information corresponding to each coil unit in the target coil is determined, and based on the position information of each coil unit, the target center position and target coverage area of ​​the target coil are determined. Thus, coil position detection is performed based on the pre-scanned MRI data, reducing scanning time and improving the detection efficiency of MRI. Furthermore, obtaining 3D MRI data through uniformity correction and determining the coil position based on this 3D MRI data improves the accuracy of coil position detection.

[0129] Please see Figure 8 , Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 8 As shown, the electronic device 10 includes: a processor 11, a memory 12, a display screen 13, a camera assembly 14, an audio circuit 15, a sensor 16, and a power supply 17. The processor 11 is electrically connected to the memory 12, the display screen 13, the camera assembly 14, the audio circuit 15, the sensor 16, and the power supply 17.

[0130] The display screen 13 can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces of electronic devices, which can be composed of images, text, icons, videos, and any combination thereof.

[0131] The camera assembly 14 may include image processing circuitry, which can be implemented using hardware and / or software components and may include various processing units defining an image signal processing (ISP) pipeline. The image processing circuitry may include at least: multiple cameras, an image signal processor (ISP), control logic, and image memory. Each camera may include at least one or more lenses and an image sensor. The image sensor may include a color filter array (such as a Bayer filter). The image sensor acquires light intensity and wavelength information captured by each imaging pixel of the image sensor and provides a set of raw image data that can be processed by the image signal processor.

[0132] The audio circuit 15 can be used to provide an audio interface between a user and an electronic device through a speaker and a microphone. The audio circuit 15 includes a microphone. The microphone is electrically connected to the processor 11. The microphone is used to receive voice information input by the user.

[0133] Sensor 16 is used to collect information about the electronic device 10 itself, user information, or external environmental information. For example, sensor 16 may include one or more of the following sensors: vibration sensor, temperature sensor, distance sensor, magnetic field sensor, light sensor, acceleration sensor, fingerprint sensor, Hall sensor, position sensor, gyroscope, inertial sensor, attitude sensor, barometer, heart rate sensor, etc.

[0134] The power supply 17 is used to supply power to the various components of the electronic device 10. In some embodiments, the power supply 17 can be logically connected to the processor 11 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system.

[0135] It should be understood that the apparatus provided in this application embodiment is used to perform the above-described coil position detection method, and therefore can achieve the same effect as the above-described implementation method.

[0136] When using integrated units, the device may include a processing module and a storage module. When applied to an electronic device, the processing module can be used to control and manage the operation of the electronic device. The storage module can be used to support the execution of relevant program code by the electronic device.

[0137] The processing module may be a processor or a controller, which can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor may also be a combination of functions that implement computing capabilities, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc., and the storage module may be a memory.

[0138] In addition, the device provided in this application embodiment may specifically be a chip, component or module. The chip may include a connected processor and a memory. The memory is used to store instructions. When the processor calls and executes the instructions, the chip can execute a coil position detection method provided in the above embodiment.

[0139] This application also provides a computer-readable storage medium storing computer program code. When the computer program code is run on a computer, the computer executes the above-described related method steps to implement the coil position detection method provided in the above embodiments.

[0140] This embodiment also provides a computer program product that, when run on a computer, causes the computer to perform the aforementioned steps to implement a coil position detection method provided in the above embodiment.

[0141] In this embodiment, the device, computer-readable storage medium, computer program product, or chip are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0142] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0143] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0144] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for detecting the position of a coil, characterized in that, include: Acquire the initial magnetic resonance data set of the target object by the target coil corresponding to the coverage area of ​​the magnet center; Each initial magnetic resonance data point in the initial magnetic resonance data set is subjected to uniformity correction processing to obtain the corrected three-dimensional magnetic resonance data set. Based on the three-dimensional magnetic resonance data set, the position information corresponding to each coil unit in the target coil is determined; Based on the position information corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined; The step of determining the target center position and target coverage area of ​​the target coil based on the position information corresponding to each coil unit includes: Based on the position information corresponding to each coil unit, at least one projection image of each coil unit in spatial coordinates is obtained by discrete distributed integral calculation. Based on at least one of the projection maps, the center position and coverage area corresponding to each coil unit are obtained; Based on the center position and coverage area corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined.

2. The method according to claim 1, characterized in that, The target coil includes a first sub-coil and a second sub-coil. The first sub-coil includes a plurality of first coil sub-units, and the second sub-coil includes a plurality of second coil sub-units. Each coil unit in the target coil includes a first coil sub-unit and a second coil unit corresponding to the same scanning position of the target object. The initial magnetic resonance data set obtained by pre-scanning the target object using the target coil corresponding to the coverage area of ​​the magnet center includes: A first initial magnetic resonance data set is obtained by pre-scanning the target object with the first sub-coil, and a second initial magnetic resonance data set is obtained by pre-scanning the target object with the second sub-coil, wherein each first coil sub-unit corresponds to a first initial magnetic resonance data in the first initial magnetic resonance data set, and each second coil sub-unit corresponds to a second initial magnetic resonance data in the second initial magnetic resonance data set; Based on the first initial magnetic resonance data set and the second initial magnetic resonance data set, the initial magnetic resonance data set is obtained, wherein each coil unit corresponds to an initial magnetic resonance data in the initial magnetic resonance data set, and each initial magnetic resonance data includes a first initial magnetic resonance data and a second initial magnetic resonance data at the same scanning position of the target object.

3. The method according to claim 2, characterized in that, Uniformity correction is performed on each initial magnetic resonance data point in the initial magnetic resonance data set to obtain a corrected three-dimensional magnetic resonance data set, including: Each initial magnetic resonance data point is compared and fused with a first initial magnetic resonance data point and a second initial magnetic resonance data point corresponding to each initial magnetic resonance data point to obtain the corrected three-dimensional magnetic resonance data set, wherein each coil unit corresponds to a three-dimensional magnetic resonance data point in the three-dimensional magnetic resonance data set.

4. The method according to claim 1, characterized in that, The step of determining the position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set includes: Perform a three-dimensional discrete Fourier transform on each of the three-dimensional magnetic resonance data in the three-dimensional magnetic resonance data set to obtain a three-dimensional transformed magnetic resonance data set; Each three-dimensional transformed magnetic resonance data in the three-dimensional transformed magnetic resonance data set is subjected to a preset processing to obtain a three-dimensional target magnetic resonance data set, wherein the preset processing includes at least one of normalization processing, noise reduction processing, and smoothing processing; Based on the three-dimensional target magnetic resonance data set, the position information corresponding to each coil unit in the target coil is determined.

5. The method according to claim 4, characterized in that, The determination of the position information corresponding to each coil unit in the target coil based on the three-dimensional target magnetic resonance data set includes: Based on each three-dimensional target magnetic resonance data in the three-dimensional target magnetic resonance data set, a signal map corresponding to each coil unit is obtained; Based on the image coordinates of the target area displayed in the signal diagram corresponding to each coil unit and the positioning direction of the target object, the position information corresponding to each coil unit is determined.

6. The method according to claim 1, characterized in that, At least one of the projection maps includes a first direction projection map, and obtaining the center position and coverage area corresponding to each coil unit based on at least one of the projection maps includes: Based on the first directional projection map, the position corresponding to the first signal strength received by each coil unit is taken as the center position, and the range corresponding to the second signal strength received by each coil unit is taken as the coverage range, wherein the first signal strength is the maximum signal strength received by each coil unit, and the second signal strength is half of the first signal strength.

7. A coil position detection device, characterized in that, include: The acquisition unit is used to acquire the initial magnetic resonance data set of the target object by the target coil within the coverage area of ​​the magnet center; The correction unit is used to perform uniformity correction processing on each initial magnetic resonance data in the initial magnetic resonance data set to obtain the corrected three-dimensional magnetic resonance data set. The first determining unit is used to determine the position information corresponding to each coil unit in the target coil based on the three-dimensional magnetic resonance data set; The second determining unit is used to determine the target center position and target coverage area of ​​the target coil based on the position information corresponding to each coil unit; The second determining unit is used to obtain at least one projection image of each coil unit in spatial coordinates by calculating the position information corresponding to each coil unit through discrete distributed integration. Based on at least one of the projection maps, the center position and coverage area corresponding to each coil unit are obtained; based on the center position and coverage area corresponding to each coil unit, the target center position and target coverage area of ​​the target coil are determined.

8. An electronic device, characterized in that, include: Memory, used to store executable program code; A processor is configured to call and run the executable program code from the memory, causing the electronic device to perform the coil position detection method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program code, which, when run on a computer, implements the coil position detection method as described in any one of claims 1-6.

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