CN115598573A - Signal processing method for magnetic resonance system, electronic device, and storage medium - Google Patents

Signal processing method for magnetic resonance system, electronic device, and storage medium Download PDF

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CN115598573A
CN115598573A CN202211334656.8A CN202211334656A CN115598573A CN 115598573 A CN115598573 A CN 115598573A CN 202211334656 A CN202211334656 A CN 202211334656A CN 115598573 A CN115598573 A CN 115598573A
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magnetic resonance
signals
signal
electromagnetic interference
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魏金宝
郭立
汪孔桥
王志杰
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Anhui Huami Health Technology Co Ltd
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Anhui Huami Health Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging

Abstract

The present disclosure provides a signal processing method of a magnetic resonance system, an electronic device, and a storage medium. The method comprises the following steps: performing multiple magnetic resonance scans on at least one first line in K space of a magnetic resonance system to obtain multiple measurement signals of the first line; processing the plurality of measurement signals of the first row to obtain an electromagnetic interference signal of the first row; the magnetic resonance signals of the first row are derived from at least one of the plurality of measurement signals of the first row and the electromagnetic interference signals of the first row. Therefore, the plurality of measurement signals of the first row can be comprehensively considered to obtain the electromagnetic interference signals of the first row, the granularity of the electromagnetic interference signals is reduced to the first row, the accuracy of the electromagnetic interference signals is improved, the magnetic resonance signals of the first row are obtained based on at least one measurement signal and the electromagnetic interference signals of the first row, the accuracy of the magnetic resonance signals is improved, the cost is low, and the operation is simple.

Description

Signal processing method for magnetic resonance system, electronic device, and storage medium
Technical Field
The present disclosure relates to the field of magnetic resonance imaging technologies, and in particular, to a signal processing method of a magnetic resonance system, an electronic device, and a storage medium.
Background
At present, magnetic resonance imaging has the advantages of high safety, high image definition and the like, and is widely applied to the field of medical treatment. However, during use of the magnetic resonance imaging apparatus, electromagnetic interference signals may be present, resulting in inaccurate acquired magnetic resonance imaging signals. In the related art, most of the magnetic resonance imaging devices are placed in a special shielding space to isolate electromagnetic interference, or a receiving coil is additionally arranged to acquire electromagnetic interference signals, so that the problems of high cost and complex operation exist.
Disclosure of Invention
The present disclosure is directed to solving, at least in part, one of the technical problems in the above technology.
In a first aspect, an embodiment of the present disclosure provides a signal processing method for a magnetic resonance system, including: performing a plurality of magnetic resonance scans on at least one first row in a K-space of the magnetic resonance system to obtain a plurality of measurement signals of the first row; processing the plurality of measurement signals of the first row to obtain an electromagnetic interference signal of the first row; and obtaining the magnetic resonance signal of the first row according to at least one of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row.
In some embodiments, the obtaining the electromagnetic interference signal of the first row by processing the plurality of measurement signals of the first row includes: carrying out differential processing on the plurality of measurement signals in the first row to obtain at least one instant electromagnetic interference signal; and processing the at least one instant electromagnetic interference signal to obtain the electromagnetic interference signal of the first line.
In some embodiments, the performing differential processing on the plurality of measurement signals of the first row to obtain at least one instant electromagnetic interference signal includes: and carrying out differential processing on at least one pair of adjacent measurement signals in the plurality of measurement signals in the first row to obtain at least one instant electromagnetic interference signal.
In some embodiments, further comprising: performing signal fitting processing by using the magnetic resonance signals of the at least one first row to obtain magnetic resonance signals of a plurality of second rows, wherein the K space comprises the at least one first row and the plurality of second rows; obtaining a magnetic resonance image based on the magnetic resonance signals of the at least one first row and the magnetic resonance signals of the plurality of second rows.
In some embodiments, the at least one first row comprises a plurality of first rows, and the performing a signal fitting process using the magnetic resonance signals of the at least one first row to obtain magnetic resonance signals of a plurality of second rows comprises: obtaining fitting weight parameters of the K space by using the magnetic resonance signals of the first lines; and performing signal fitting processing on the magnetic resonance signals of the plurality of first lines by using the fitting weight parameters of the K space to obtain magnetic resonance signals of a plurality of second lines.
In some embodiments, the fitting weight parameters are obtained by processing magnetic resonance signals of a plurality of rows distributed in succession.
In some embodiments, the magnetic resonance signals of the second plurality of rows are obtained by processing magnetic resonance signals of at least one boundary row of the plurality of consecutively distributed rows and magnetic resonance signals of the plurality of spaced apart rows.
In some embodiments, the at least one first row includes a plurality of rows located in a central region of the K-space and distributed continuously, and a plurality of rows located in a peripheral region of the K-space and distributed at intervals.
In some embodiments, further comprising: acquiring target scanning duration; determining at least one of the number of the at least one first line and the number of scans of the first line based on the target scan duration.
In a second aspect, an embodiment of the present disclosure further provides an electronic device, including a memory and a processor; wherein the processor is configured to read the executable program code stored in the memory to implement the signal processing method of the magnetic resonance system according to any possible embodiment of the first aspect of the present disclosure.
In a third aspect, this disclosure further provides a computer-readable storage medium, where a computer program is stored, and when the program is executed by a computer device, the computer program implements the signal processing method of the magnetic resonance system according to any embodiment of the first aspect of the disclosure.
In a fourth aspect, the disclosed embodiments further propose a computer program product, which includes computer readable instructions that, when executed by a computer device, implement the signal processing method of the magnetic resonance system described in any embodiment of the first aspect of the present disclosure.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
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The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block schematic diagram of a system according to some embodiments;
figure 2 is a flow diagram of a method of signal processing for a magnetic resonance system according to some embodiments;
figure 3 is a schematic diagram of K-space in a signal processing method of a magnetic resonance system according to some embodiments;
figure 4 is a flow diagram of a method of signal processing of a magnetic resonance system according to some embodiments;
figure 5 is a flow diagram of a method of signal processing for a magnetic resonance system according to some embodiments;
figure 6 is a flow diagram of a method of signal processing of a magnetic resonance system according to some embodiments;
figure 7 is a block schematic diagram of a signal processing arrangement of a magnetic resonance system according to some embodiments;
fig. 8 is a block schematic diagram of an electronic device according to some embodiments.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure.
In the related art, in order to eliminate the electromagnetic interference of the magnetic resonance system, most of the magnetic resonance imaging apparatuses are placed in a special shielding space, such as a shielding room, a faraday electromagnetic cage, an electromagnetic shielding cloth, etc., to isolate the electromagnetic interference, or a receiving coil is additionally added to collect an electromagnetic interference signal, which has the problems of high cost and complex operation.
The embodiment of the disclosure provides a signal processing scheme of a magnetic resonance system, which can perform multiple measurements on each row in one or more rows to obtain multiple measurement signals, and comprehensively consider the multiple measurement signals obtained by multiple measurements performed on one row to obtain an electromagnetic interference signal of the row, thereby improving the detection accuracy of the electromagnetic interference signal.
To describe some implementations in more detail, reference is first made to an example of a magnetic resonance system. Fig. 1 is a block diagram illustrating an example of a system 100. The magnetic resonance system 100 comprises a magnetic resonance device 102, a server device 104 and an intermediate device 106, the intermediate device 106 being communicatively connected with the magnetic resonance device 102 and the server device 104, respectively.
The Magnetic Resonance apparatus 102 may be a Magnetic Resonance Imaging (MRI) apparatus, a Magnetic Resonance Spectroscopy (MRS) apparatus, a Nuclear Magnetic Resonance (NMR) apparatus, or the like. The magnetic resonance apparatus 102 includes a magnet assembly, a radio frequency assembly, and a controller, wherein the magnet assembly may be used to generate a magnetic field. For example, the magnet assembly includes a magnet assembly for generating a static magnetic field and at least one gradient coil for generating a gradient field. The radio frequency components may be used to transceive radio frequency signals. For example, the radio frequency assembly comprises at least one radio frequency generator and at least one radio frequency receiver, such as at least one radio frequency transmit coil and at least one radio frequency receive coil.
The controller may run a program 110 for processing the measurement signals acquired by the radio frequency components and/or controlling one or more components in the magnetic resonance apparatus 102, for example, perform analog-to-digital conversion on the measurement signals output by the radio frequency components to obtain converted measurement signals, and perform image reconstruction on the converted measurement signals to obtain measurement images. As another example, the magnetic resonance device 102 may output the raw measurement signals or the measurement signals subjected to one or more pre-processes to the intermediate device 106 or the server device 110 for further image reconstruction processing to obtain the measurement image.
The server program 112 is run on the server device 104 to process the measurement signals. The server device 104 may be or include a hardware server (e.g., a server device), a software server (e.g., a web server and/or a virtual server), or both. For example, where the server device 104 is or includes a hardware server, the server device 104 may be a server device located in a rack, such as a rack of a data center.
The server program 112 is one or more software programs to use the measurement signals to derive magnetic resonance signals.
The server program 112 may access a database 114 on the server device 104 to perform at least some functions of the server program 112. The database 114 is a database or other data store for storing, managing, or otherwise providing data for the functionality of the delivery server program 112. For example, database 114 may store measurement signals received by server device 104, information generated or otherwise determined from the measurement signals. For example, the database 114 may be a relational database management system, an object database, an XML database, a configuration management database, a management information base, one or more flat files, other suitable non-transitory storage mechanisms, or a combination thereof.
The intermediate device 106 is a device for facilitating communication between the magnetic resonance device 102 and the server device 104. In particular, the intermediate device 106 receives data from the magnetic resonance device 102 and transmits the received data to the server device 104, for example for use by the server program 112. Intermediary device 106 may be a computing device, such as a mobile device (e.g., a smartphone, tablet, laptop, or other mobile device) or other computer (e.g., a desktop computer or other non-mobile computer). Alternatively, intermediary device 106 may be or include network hardware, such as a router, a switch, a load balancer, another network device, or a combination thereof. As another alternative, intermediary device 106 may be another network connection device. For example, the intermediate device 106 may be a networked power charger of the magnetic resonance device 102.
For example, intermediary device 106 may run application 118, and application 118 may be one or more application software installed on intermediary device 106, depending on the particular implementation of intermediary device 106. In some implementations, the application software may be installed on the intermediate device 106 by a user of the intermediate device 106 (typically the same person as the user of the magnetic resonance device 102, but in some cases may not be the same person as the user of the magnetic resonance device 102) after purchasing the intermediate device 106, or may be pre-installed on the intermediate device 106 by a manufacturer of the intermediate device 106 before shipping the intermediate device 106. The application 118 configures the intermediate device 106 to transmit data to the magnetic resonance device 102 or to receive data from the magnetic resonance device 102 and/or to transmit data to the server device 104 or to receive data from the server device 104. The application may receive commands from a user of the intermediary device 106. Application 118 may receive commands from its user through a user interface of application 118. For example, where intermediary device 106 is a computing device with a touch screen display, a user of intermediary device 106 may receive the command by touching a portion of the display corresponding to a user interface element in the application.
For example, the command received by the application 118 from the user of the intermediate device 106 may be a command to transmit a measurement signal received at the intermediate device 106 (e.g., received from the magnetic resonance device 102) to the server device 104. Intermediary device 106 transmits the measurement signal to server device 104 in response to such a command. In another example, the command received by the application 118 from the user of the intermediary device 106 may be a command to review information received from the server device 104.
In some implementations, the client device is given access to the server program 112. For example, the client device may be a mobile device, such as a smartphone, tablet, laptop, etc. In another example, the client device may be a desktop computer or another non-mobile computer. The client device may run a client application to communicate with the server program 112. For example, the client application program may be a mobile application capable of accessing some or all of the functionality and/or data of the server program 112. For example, a client device may communicate with the server device 104 over the network 116. In some such implementations, the client device may be the intermediary device 106.
In some implementations, the server device 104 may be a virtual server. For example, the virtual server may be implemented using a virtual machine (e.g., a Java virtual machine). The virtual machine implementation may use one or more virtual software systems, such as an HTTP server, a java servlet container, a hypervisor, or other software system. In some such implementations, one or more virtual software systems used to implement the virtual server may instead be implemented in hardware.
In some implementations, the intermediate device 106 receives data from the magnetic resonance device 102 using a short-range communication protocol. For example, the short range communication protocol may be Bluetooth
Figure BDA0003914890630000051
Low energy, infrared, Z wave, zigBee, other protocol, or combinations thereof. The intermediate device 106 transmits data received from the magnetic resonance device 102 to the server device 104 via the network 116. For example, the network 116 may be a local area network, a wide area network, a machine-to-machine network, a virtual private network, or another public or private network. The network 116 may use a telecommunications protocol. For example, the remote communication protocol may be Ethernet, transmitTransmission Control Protocol (TCP), internet Protocol (IP), power line communication, wireless fidelity (Wi-Fi), general Packet Radio Service (GPRS), global System for Mobile Communications (GSM), code Division Multiple Access (CDMA), other protocols, or combinations thereof.
The system 100 serves to continuously transmit measurement signals from the magnetic resonance apparatus 102 to the server apparatus 104. The receive coil 108 may continuously or otherwise frequently acquire measurement signals of the magnetic resonance apparatus 102 periodically.
The implementation of system 100 may vary from that shown and described with respect to fig. 1. In some implementations, intermediary device 106 may be omitted. For example, the magnetic resonance device 102 may be configured to communicate directly with the server device 104 over the network 116. For example, direct communication between the magnetic resonance device 102 and the server device 104 over the network 116 may include using a remote, low power system, or another communication mechanism. In some implementations, both intermediary device 106 and server device 104 may be omitted. For example, the magnetic resonance device 102 may be configured to perform the functions described above with respect to the server device 104. In such implementations, the magnetic resonance device 102 may process and store data independently of other computing devices.
A signal processing method, an apparatus, an electronic device, a computer-readable storage medium, and a computer program product of a magnetic resonance system according to embodiments of the present disclosure are described below with reference to the accompanying drawings.
Figure 2 is a flow diagram of a method of signal processing for a magnetic resonance system according to some embodiments.
S201, performing multiple magnetic resonance scans on at least one first row in K-space of the magnetic resonance system to obtain multiple measurement signals of the first row.
K-space (K-space), also called fourier space, comprises a plurality of lines, the number of lines in the K-space being equal to the number of pixel lines in the magnetic resonance image. K-space is not overly limited, and for example, phase encoding can be performed to fill K-space.
In an embodiment of the disclosure, the K-space comprises at least one first row, wherein the first row may be a phase encoding row. The position, number, and the like of the first row are not limited to a large number. The at least one first row is part of a row in K-space, and the at least one first row may be one or more rows. In some embodiments, the at least one first row may be a plurality of consecutive rows, or a plurality of spaced rows, or a plurality of consecutive rows and a plurality of spaced rows, and the embodiment of the present disclosure does not limit the implementation of the at least one first row.
In some examples, the number of the at least one first row is greater than or equal to a product of the set coefficient and the number of rows of K-space. The setting coefficient is a positive number not greater than 1, and is not limited to a large number, for example, 4%, 8%, or the like.
In some examples, the number of the at least one first row is greater than or equal to the set threshold. The threshold is not limited to a specific value, and for example, the threshold is set to 6.
In some examples, the number of the at least one first line may be determined based on a user setting, for example, based on scan time information set by the user.
In some alternative implementations, the at least one first row includes a plurality of rows located in a central region of the K-space and distributed continuously, and a plurality of rows located in a peripheral region of the K-space and distributed at intervals. It should be noted that the spacing between the spaced rows is not limited to a specific value, for example, the spacing may be a set number of rows, for example, the spacing may be 1, 3, 5 rows, etc. It will be appreciated that the central region of K-space has a lower frequency and corresponds to a stronger magnetic resonance signal, and the peripheral region has a higher frequency and corresponds to a weaker magnetic resonance signal.
In the example shown in FIG. 3, the first row includes continuously distributed rows A located in the central region of K-space 1 、A 2 、A 3 、A 4 、A 5 And also comprises rows A which are positioned in the peripheral area and are distributed at intervals 6 、A 7 、A 8 、A 9 Wherein the pitch is one row.
In an embodiment of the disclosure, a plurality of magnetic resonance scans may be performed for each of one or more of the at least one first row in K-space, resulting in a plurality of measurement signals for the first row. It should be noted that the number of scans performed by the magnetic resonance scan on the first row is not limited too much, and the number of scans is a positive integer greater than 1, for example, the number of scans may be 3, 5, and so on. In addition, in the case where the number of the at least one first row is plural, the number of magnetic resonance scans for different first rows may be the same or different.
In some alternative implementations, the magnetic resonance system includes at least one receive coil by which the plurality of measurement signals of the first row may be acquired. It should be noted that the number of the receiving coils is not limited too much, for example, the number of the receiving coils may be 1, 3, etc.
In some examples, the number of the receiving coils is multiple, and during each magnetic resonance scan of the first row, the measurement signal of the first row is acquired by each receiving coil, and the measurement signals of the first row acquired by different receiving coils may be different.
For example, continuing with the example of FIG. 3, the receive coil comprises receive coil B 1 、B 2 、B 3 (not shown in the figure), for the first row A 1 To A 9 3 magnetic resonance scans were performed. In the first row A 1 For example, for the first row A 1 During the ith magnetic resonance scan, the magnetic resonance signal passes through a receiving coil B 1 Collect first line A 1 And through the receiving coil B 2 Collect the first line A 1 And through the receiving coil B 3 Collect the first line A 1 Thus, by applying to the first row A 1 Three magnetic resonance scans are performed, receiving coil B 1 、B 2 、B 3 Each receiving coil in (a) acquires a first row a 1 Three measurement signals. Wherein i is more than or equal to 1 and less than or equal to 3, and i is a positive integer. At this time, the plurality of measurement signals of the first row may include each of the at least one receiving coil at each magnetic resonanceThe measurement signals received in the scan.
It should be noted that the content related to the acquisition of the measurement signals of the remaining first row may be related to the pair a 1 The acquisition of the measurement signal is similar, and is not described in detail here.
S202, processing the plurality of measurement signals of the first row to obtain the electromagnetic interference signals of the first row.
It will be appreciated that in a magnetic resonance scan, the measurement signals may include magnetic resonance signals and electromagnetic interference signals. Different rows may correspond to different EMI (Electromagnetic Interference) signals, and different scans of the same row may also correspond to different EMI signals.
In S202, the EMI signal of the first row may be obtained by processing the plurality of measurement signals of the first row. In some alternative implementations, the plurality of measurement signals of the first row may be input into a set algorithm or model, which outputs the EMI signal of the first row. It should be noted that the setting algorithm or model is not limited too much, for example, the setting algorithm or model may be a machine learning algorithm or model obtained by training, or may be generated or determined in real time.
In some alternative implementations, if a plurality of measurement signals of a first row are acquired by a plurality of receiving coils, EMI signals included in the measurement signals of different rows acquired by the same receiving coil may be different, and EMI signals included in the measurement signals of the same row acquired by different receiving coils may also be different. At this time, the EMI signal of each receiving coil for the first row may be obtained by using a plurality of measurement signals for the first row acquired by each receiving coil in a plurality of magnetic resonance scans, and then the EMI signal of each receiving coil in the plurality of receiving coils for the first row may be obtained.
For example, continuing with the example of FIG. 3, the receive coil comprises receive coil B 1 、B 2 、B 3 (not shown in the figure), for the first row A 1 To A 9 Three magnetic resonance scans are performed. In the first row A 1 For example, by means of a receiving coil B 1 、B 2 、B 3 Respectively collect the first row A 1 The ith measurement signal of (1). Wherein i is more than or equal to 1 and less than or equal to 3, and i is a positive integer.
Using a receiving coil B 1 First row A of acquisitions 1 To obtain a receiving coil B 1 For the first row A 1 Of the EMI signal.
Using a receiving coil B 2 First row a of acquisitions 1 To obtain a receiving coil B 2 For the first row A 1 Of the EMI signal.
Using a receiving coil B 3 First row A of acquisitions 1 To obtain a receiving coil B 3 For the first row A 1 The EMI signal of (1).
Here only with one of the first rows a 1 For purposes of illustration, the acquisition of multiple EMI signals for the first row A 1 The acquisition of the EMI signal is similar and will not be described herein.
S203, obtaining a magnetic resonance signal of the first row according to at least one of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row.
It should be noted that at least one measurement signal in the first row is a part or all of the plurality of measurement signals in the first row. The number of at least one measuring signal is not overly limited.
In some alternative implementations, the at least one measurement signal of the first row is one measurement signal of the first row, and the measurement signal may be any measurement signal of the plurality of measurement signals of the first row, or selected from the plurality of measurement signals of the first row based on a certain selection criterion, which is not limited herein. The magnetic resonance signal of the first row may be obtained by removing the EMI signal of the first row from the measurement signal of the first row.
In some examples, a signal obtained by removing the EMI signal of the first row from the measurement signal of the first row may be directly used as the magnetic resonance signal of the first row. In other examples, the signals obtained as described above may be further processed to obtain the magnetic resonance signals of the first row. For example, the EMI signal of the first row is removed from the measurement signal of the first row to obtain the magnetic resonance signal of the first row corresponding to the measurement signal, and then the magnetic resonance signal of the first row is obtained according to the magnetic resonance signal of the first row corresponding to at least one measurement signal. For example, the at least one measurement signal includes two or more measurement signals, and the magnetic resonance signals of the first row corresponding to each of the two or more measurement signals may be subjected to fitting processing, averaging processing, or other processing to obtain the magnetic resonance signals of the first row.
In one example, assume a first row A 1 Comprises measurement signals 1 to 10 from a first row A 1 Comprises the measurement signals 1, 3, 5. At this time, the first row a is removed from the measurement signal 1 1 To obtain the first line a corresponding to the measurement signal 1 1 Magnetic resonance signal C of 1 . Removing the first row A from the measurement signal 2 1 To obtain the first line a corresponding to the measurement signal 2 1 Magnetic resonance signal C of 2 . Removing the first row A from the measurement signal 3 1 To obtain the first line a corresponding to the measurement signal 3 1 Magnetic resonance signal C of 3 . By aligning the magnetic resonance signals C 1 、C 2 And C 3 Performing signal fitting processing or weighted average processing to obtain a first row A 1 The magnetic resonance signal of (a).
In some implementations, in a case that the magnetic resonance apparatus includes a plurality of receiving coils, the plurality of measurement signals of the first row acquired by each receiving coil may be processed respectively, so as to obtain magnetic resonance signals of the first row corresponding to each of the plurality of coils.
For example, continuing with the example of FIG. 3, for receive coil B 1 According to the receiving coil B 1 Received first row A 1 At least one measuring signal and a receiving coil B 1 Corresponding first row A 1 Obtaining the receiving coil B from the EMI signal 1 Corresponding first row A 1 Magnetic resonance ofA signal. For receiving coil B 2 According to the receiving coil B 2 Received first row A 1 At least one measuring signal and a receiving coil B 2 Corresponding first row A 1 Obtaining the receiving coil B 2 Corresponding first row A 1 The magnetic resonance signal of (a). For the receiving coil B 3 According to the receiving coil B 3 Corresponding first row A 1 At least one measuring signal and a receiving coil B 3 Corresponding first row A 1 Obtaining the receiving coil B from the EMI signal 3 Corresponding first row A 1 The magnetic resonance signal of (a).
In summary, according to the signal processing method of the magnetic resonance system in the embodiment of the present disclosure, a plurality of magnetic resonance scans are performed on at least one first row in the K-space of the magnetic resonance system to obtain a plurality of measurement signals of the first row, the plurality of measurement signals of the first row are processed to obtain an electromagnetic interference signal of the first row, and the magnetic resonance signal of the first row is obtained according to at least one measurement signal of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row. Therefore, the plurality of measurement signals in the first row can be comprehensively considered to obtain the electromagnetic interference signals in the first row, the granularity of the electromagnetic interference signals is refined to the rows, the accuracy of the electromagnetic interference signals is improved, the magnetic resonance signals in the first row are obtained based on at least one measurement signal and the electromagnetic interference signals in the first row, the accuracy of the magnetic resonance signals is improved, no additional hardware equipment is needed, the cost is low, and the operation is simple.
Figure 4 is a flow diagram of a method of signal processing for a magnetic resonance system according to some embodiments.
S401, performing multiple magnetic resonance scans on at least one first row in K-space of the magnetic resonance system to obtain multiple measurement signals of the first row.
For the related content of step S401, refer to the above embodiments, and are not described herein again.
S402, carrying out differential processing on the plurality of measurement signals in the first row to obtain at least one instant electromagnetic interference signal.
In some alternative implementations, at least two of the plurality of measurement signals of the first row may be differentially processed to obtain at least one instantaneous EMI signal. The at least two measurement signals are part or all of the plurality of measurement signals of the first row. The number of at least two measurement signals is not overly limited.
In some implementations, any two measurement signals of the at least two measurement signals may be differentially processed, that is, any two measurement signals of the at least two measurement signals constitute a measurement signal pair, and the two measurement signals included in each measurement signal pair of the at least one measurement signal pair are differentially processed to obtain at least one instant EMI signal. In other implementations, two measurement signals satisfying a certain relationship among the at least two measurement signals may be differentially processed, that is, the two measurement signals satisfying a certain relationship among the at least two measurement signals serve as a measurement signal pair, and the two measurement signals included in each measurement signal pair in at least one measurement signal pair are differentially processed to obtain at least one instant EMI signal. The above-mentioned certain relation may be a measurement signal obtained by adjacent scanning, or a signal parameter satisfying a specific condition, and the like, and is not limited herein.
In some optional implementations, any two measurement signals in the plurality of measurement signals of the first row are differentially processed to obtain a plurality of instant electromagnetic interference signals.
In one example, assume a first row A 1 The plurality of measurement signals comprise measurement signals 1-10, the at least two measurement signals comprise measurement signals 1, 3 and 5, any two measurement signals can be subjected to differential processing to obtain a plurality of instant EMI signals, namely, the measurement signals 1 and 3 are subjected to differential processing to obtain an instant EMI signal D 1 The difference processing is carried out on the measuring signals 1 and 5 to obtain an instant EMI signal D 2 The difference processing is carried out on the measurement signals 3 and 5 to obtain an instant EMI signal D 3
In some optional implementations, at least one pair of adjacent measurement signals in the plurality of measurement signals of the first row is differentially processed to obtain at least one instantaneous electromagnetic interference signal.
In one example, assume a first row A 1 The plurality of measurement signals comprise measurement signals 1-10, the at least two measurement signals comprise measurement signals 1-10, any two adjacent measurement signals can be subjected to differential processing to obtain a plurality of instant EMI signals, namely, the measurement signals 1 and the measurement signals 2 are subjected to differential processing to obtain instant EMI signals D 1 Performing differential processing on the measurement signal i and the measurement signal i +1 to obtain an instant EMI signal D i I =1, \8230, 9, and the measuring signals 9 and 10 are differentially processed to obtain an instant EMI signal D 9
In some implementations, in a case where the magnetic resonance apparatus includes a plurality of receiving coils, the above procedure may be performed for the plurality of receiving coils respectively, resulting in at least one instant EMI signal corresponding to each of the plurality of receiving coils. For example, continuing with the example of FIG. 3, for receive coil B 1 Butted take-up ring B 1 Received first row A 1 The 1 st and 2 nd measuring signals are processed in a differential way to obtain an instant EMI signal D 1 Butted take-up ring B 1 Received first row A 1 The 2 nd measuring signal and the 3 rd measuring signal are subjected to differential processing to obtain an instant EMI signal D 2 . For receiving coil B 2 Butted take-up ring B 2 Received first row A 1 The 1 st and 2 nd measuring signals are processed in a differential way to obtain an instant EMI signal D 3 Butted take-up ring B 2 Received first row A 1 The 2 nd and 3 rd measuring signals are subjected to differential processing to obtain an instant EMI signal D 4 . For the receiving coil B 3 Butted take-up ring B 3 Received first row A 1 The 1 st and 2 nd measuring signals are processed in a differential way to obtain an instant EMI signal D 5 Butted take-up ring B 3 Received first row A 1 The 2 nd and 3 rd measuring signals are subjected to differential processing to obtain an instant EMI signal D 6
S403, processing at least one instant electromagnetic interference signal to obtain an electromagnetic interference signal of a first row.
In some alternative implementations, the at least one instantaneous EMI signal may be weighted averaged to obtain the EMI signal of the first row.
In some alternative implementations, a signal fitting process may be performed on at least one instant EMI signal to obtain the EMI signal of the first row. The fitting manner is not limited to a specific one, and may include linear fitting, non-linear fitting, and the like.
In some examples, at least one instantaneous EMI signal may be input into a signal fitting model from which the EMI signal of the first row is output. The implementation of the signal fitting model is not limited to a few, for example, the signal fitting model may be a deep learning network model obtained by pre-training, or may be generated in real time according to a plurality of measurement signals and/or instant EMI signals of the first row.
In some examples, training of the signal fitting model includes obtaining a plurality of training samples, each training sample including a sample EMI signal set and a sample measurement signal, wherein the sample measurement signal serves as a label. Inputting a plurality of sample EMI signals included in the sample EMI signal set into a signal fitting model, outputting a predicted EMI signal by the signal fitting model, and updating at least one parameter of the signal fitting model based on the predicted EMI signal and a sample measurement signal serving as a label to obtain a final signal fitting model. Therefore, the signal fitting model can be trained by utilizing the sample measurement signal and the sample EMI signal set, and the magnetic resonance signal in the sample measurement signal has small proportion and the EMI signal has large proportion, so that the magnetic resonance signal has small influence on model training, the sample measurement signal is directly used as a sample label, and the sample EMI signal in the sample measurement signal can be fitted. After the signal fitting model is trained, the signal fitting model can be used for performing signal fitting processing on at least one instant EMI signal to obtain the EMI signal.
S404, obtaining a magnetic resonance signal of the first row according to at least one of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row.
For the relevant content of step S404, reference may be made to the foregoing embodiment, which is not described herein again.
In summary, according to the signal processing method of the magnetic resonance system in the embodiment of the present disclosure, at least two measurement signals in the first row are subjected to differential processing to obtain at least one instant electromagnetic interference signal, and the electromagnetic interference signal in the first row is obtained by processing the at least one instant electromagnetic interference signal, so that a real-time response to a dynamically changing acquisition environment is realized, and the accuracy of the electromagnetic interference signal in the first row is improved.
Figure 5 is a flow diagram of a method of signal processing for a magnetic resonance system according to some embodiments.
S501, performing multiple magnetic resonance scans on at least one first row in K-space of the magnetic resonance system to obtain multiple measurement signals of the first row.
S502, processing the plurality of measurement signals of the first row to obtain the electromagnetic interference signal of the first row.
S503, obtaining a magnetic resonance signal of the first row according to at least one of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row.
For the relevant contents of steps S501-S503, refer to the above embodiments, and are not described herein again.
S504, performing signal fitting processing by using the magnetic resonance signals of at least one first row to obtain magnetic resonance signals of a plurality of second rows, wherein the K space comprises at least one first row and a plurality of second rows.
In some embodiments of the present disclosure, the K-space includes at least one first row and a plurality of second rows, wherein the second rows may include the remaining rows of the K-space except for the at least one first row. In some examples, the plurality of second lines includes a line on which 1 magnetic resonance scan is performed, and in this case, the magnetic resonance signal of the second line may be obtained based on the measurement signal obtained by performing magnetic resonance on the second line and the magnetic resonance signal of the at least one first line. In other examples, the plurality of second rows includes rows for which no magnetic resonance scan is performed. At this time, the magnetic resonance signal of the second row may be obtained based on the magnetic resonance of at least one first row. Here, the positions, the number, and the like of the plurality of second rows are not limited to a large number. For example, the plurality of second rows may be located in a peripheral or edge region of the K space, or the plurality of second rows may include a plurality of rows spaced apart and/or a plurality of rows continuously distributed.
In some examples, where the magnetic resonance apparatus comprises a plurality of receive coils, a signal fit may be made for each of the plurality of receive coils resulting in a magnetic resonance signal measured by each coil.
As an example, continuing with the example of FIG. 3, at least one first row comprises row A 1 To A 9 The plurality of second rows includes row A 10 、A 11 、A 12 、A 13 The receiving coil comprises a receiving coil B 1 、B 2 、B 3 (not shown in the figure). For the receiving coil B 1 Butted take-up ring B 1 Corresponding first row A 1 ~A 9 Is fitted to obtain a receiving coil B 1 Corresponding second row A 10 ~A 13 The magnetic resonance signal of (a). For the receiving coil B 2 Butted take-up ring B 2 Corresponding first row A 1 ~A 9 Fitting the magnetic resonance signal to obtain a receiving coil B 2 Corresponding second row A 10 ~A 13 The magnetic resonance signal of (a). For the receiving coil B 3 Butted take-up ring B 3 Corresponding first row A 1 ~A 9 Fitting the magnetic resonance signal to obtain a receiving coil B 3 Corresponding second row A 10 ~A 13 The magnetic resonance signal of (a).
The embodiment of the present disclosure does not limit the implementation manner of the fitting process too much. In one example, a linear fitting process may be performed on at least one of the magnetic resonance signals of the first row to obtain magnetic resonance signals of the second row.
In some embodiments, the fitting of the magnetic resonance signals of the plurality of second rows may be performed iteratively. For example, the magnetic resonance signals of a part of the plurality of second rows may be obtained based on the magnetic resonance signals of at least one first row, and then the magnetic resonance signals of the remaining second rows may be obtained based on the magnetic resonance signals of the part of the second rows, or based on the magnetic resonance signals of the part of the second rows and the magnetic resonance signals of at least one first row.
In some embodiments, the fitting of the magnetic resonance signals of the plurality of second rows may be performed simultaneously. For example, the magnetic resonance signals of each of the plurality of second rows may be synchronously obtained based on the magnetic resonance signals of the at least one first row.
In some optional implementations, in a case that the at least one first row is a plurality of first rows, the fitting weight parameters of K space are obtained by using the magnetic resonance signals of the plurality of first rows, and then the magnetic resonance signals of the plurality of first rows are subjected to signal fitting processing by using the fitting weight parameters of K space, so as to obtain a plurality of magnetic resonance signals of a second row.
In some examples, the fitting weight parameters are obtained by processing magnetic resonance signals of a plurality of rows distributed in series. For example, continuing with the example of FIG. 3, utilizing first row A 1 ~A 5 Obtaining a fitting weight parameter of K space, and using the fitting weight parameter of K space to the first row A 1 To A 9 The magnetic resonance signals are subjected to signal fitting processing to obtain a second line A 10 ~A 13 The magnetic resonance signal of (a).
In some implementations, the magnetic resonance signals of the second plurality of rows are obtained by fitting signals to all rows of the first plurality of rows. In further implementations, the magnetic resonance signals of the second plurality of rows are obtained by signal fitting the magnetic resonance signals of a part of the first plurality of rows. For example, the magnetic resonance signals of the plurality of second rows are obtained by processing the magnetic resonance signals of at least one boundary row of the plurality of first rows included in the plurality of consecutively distributed rows and the magnetic resonance signals of the plurality of spaced apart rows.
For example, continuing with the example of FIG. 3, utilizing first row A 1 To A 5 Obtaining a fitting weight parameter of K space, and utilizing the fitting weight parameter of the K space to perform a fitting process on the magnetic resonance signalFirst row A 1 、A 5 、A 6 ~A 9 The magnetic resonance signals are subjected to signal fitting processing to obtain a second line A 10 ~A 13 The magnetic resonance signal of (a). As another example, for A 1 、A 2 、A 6 、A 7 The magnetic resonance signals are subjected to signal fitting processing to obtain a second line A 10 And A 11 Magnetic resonance signals of, and for A 4 、A 5 、A 8 、A 9 The magnetic resonance signal is subjected to signal fitting processing to obtain a second line A 12 And A 13 The magnetic resonance signal of (a).
S505, a magnetic resonance image is obtained based on the at least one magnetic resonance signal of the first row and the plurality of magnetic resonance signals of the second row.
In some alternative implementations, the magnetic resonance image may be obtained by performing image reconstruction processing using the magnetic resonance signal of the at least one first row and the magnetic resonance signals of the plurality of second rows.
For example, continuing with the example of FIG. 3, utilizing first row A 1 ~A 9 And the second row a 10 ~A 13 And carrying out image reconstruction processing on the magnetic resonance signals to obtain magnetic resonance images.
In some alternative implementations, the magnetic resonance signals of K-space are derived based on at least one magnetic resonance signal of the first row and a plurality of magnetic resonance signals of the second row, and the magnetic resonance image is derived based on the magnetic resonance signals of K-space. It is to be understood that the magnetic resonance signals of K-space comprise magnetic resonance signals of each row in K-space, i.e. the magnetic resonance signals of K-space comprise magnetic resonance signals of each first row, each second row in K-space. In some embodiments, the first row and the second row may be phase encoded rows.
In some implementations, in the case that the magnetic resonance apparatus includes a plurality of receiving coils, the above procedure may be performed for each receiving coil, resulting in a magnetic resonance signal of K-space corresponding to each receiving coil.
For example, continuing with the example of FIG. 3, the first row includes A 1 ~A 9 The second row includes row A 10 ~A 13 The receiving coil comprises a receiving coil B 1 、B 2 、B 3 (not shown in the figure). For the receiving coil B 1 Based on a receiving coil B 1 Corresponding to A 1 ~A 9 To obtain a receiving coil B 1 Corresponding second row A 10 ~A 13 To obtain the magnetic resonance signal of the receiving coil B 1 Corresponding magnetic resonance signals of K-space.
In summary, according to the signal processing method of the magnetic resonance system of the embodiment of the present disclosure, the magnetic resonance signals of the at least one first row are used for performing signal fitting processing to obtain the magnetic resonance signals of the plurality of second rows, where the K-space includes the at least one first row and the plurality of second rows, and the magnetic resonance image is obtained based on the magnetic resonance signals of the at least one first row and the magnetic resonance signals of the plurality of second rows. Therefore, magnetic resonance signals of each line in the K space can be obtained only by performing magnetic resonance scanning on part of first lines in the K space without performing magnetic resonance scanning on the second lines for multiple times, so that the magnetic resonance imaging method is beneficial to saving scanning time, improves the acquisition efficiency of the magnetic resonance signals, can obtain a magnetic resonance image based on the magnetic resonance signals of at least one first line and the magnetic resonance signals of a plurality of second lines, and does not need to arrange extra interference shielding hardware equipment.
Figure 6 is a flow diagram of a method of signal processing for a magnetic resonance system according to some embodiments.
S601, acquiring the target scanning duration.
It should be noted that the target scanning duration may be a total scanning duration of a detection object for the magnetic resonance system, or a scanning duration for performing phase encoding, and both the detection object and the target scanning duration are not limited too much, for example, the detection object may include a human body, an object, and the like, and the target scanning duration may be 5 minutes, 30 minutes, and the like. Different detection objects can correspond to different target scanning time lengths.
In some optional implementations, a target scan duration of the test object is determined based on a detection requirement of the test object. It should be noted that the detection requirement is not limited too much, for example, the detection requirement includes, but is not limited to, a detection item, a detection position, a detection range, and the like. In a specific example, when the detection target is a human body, the detection position includes a human body part, and the detection range includes the whole body, the upper body, the lower body, and the like.
In some examples, a mapping relationship between the detection requirement and the target scanning duration may be obtained, and the target scanning duration of the detection object may be determined based on the detection requirement and the mapping relationship.
In some optional implementation manners, a detection instruction of the detection object may be acquired, and the target scanning duration may be extracted from the detection instruction. For example, the user may input a selected target scan duration on an interactive interface of the magnetic resonance system, and the magnetic resonance system may generate the detection instruction in response to the user operation.
S602, determining at least one of a number of at least one first line and a number of times of scanning the first line based on the target scanning duration.
In some optional implementations, at least one of the number of the at least one first line and the number of scans of the first line is positively correlated with the target scan duration. That is, the longer the target scanning duration, the greater the number of the at least one first line set and/or the greater the number of first line scans, whereas the shorter the target scanning duration, the smaller the number of the at least one first line set and/or the fewer the number of first line scans.
In some alternative implementations, a mapping relationship between the number of the at least one first line and the target scanning duration may be obtained, and the number of the at least one first line may be determined based on the target scanning duration and the mapping relationship.
In some optional implementations, a mapping relationship between the scanning times of the first line and the target scanning duration may be obtained, and the scanning times of the first line may be determined based on the target scanning duration and the mapping relationship.
S603, performing a plurality of magnetic resonance scans on at least one first row in K-space of the magnetic resonance system to obtain a plurality of measurement signals of the first row.
S604, processing the plurality of measurement signals of the first row to obtain the electromagnetic interference signal of the first row.
S605, obtaining a magnetic resonance signal of the first row according to at least one of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row.
For the relevant contents of steps S603 to S605, reference may be made to the foregoing embodiments, which are not described herein again.
In summary, according to the signal processing method of the magnetic resonance system of the embodiment of the present disclosure, the target scanning duration is obtained, and at least one of the number of the at least one first line and the scanning number of the first line is determined based on the target scanning duration. Therefore, the number of the at least one first line and/or the scanning times of the first line can be determined based on the target scanning time length, and the flexibility and the accuracy of the number of the at least one first line and/or the scanning times are improved.
Figure 7 is a block schematic diagram of a signal processing arrangement of a magnetic resonance system according to some embodiments.
As shown in fig. 7, a signal processing apparatus 700 of a magnetic resonance system according to an embodiment of the present disclosure includes: a scanning module 701, a processing module 702 and an acquisition module 703.
The scanning module 701 is configured to perform multiple magnetic resonance scans on at least one first row in K space of the magnetic resonance system to obtain multiple measurement signals of the first row;
the processing module 702 is configured to obtain an electromagnetic interference signal of the first row by processing the plurality of measurement signals of the first row;
the obtaining module 703 is configured to obtain a magnetic resonance signal of the first row according to at least one of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row.
In some embodiments, the processing module 702 is further configured to: carrying out differential processing on the plurality of measurement signals in the first row to obtain at least one instant electromagnetic interference signal; and processing the at least one instant electromagnetic interference signal to obtain the electromagnetic interference signal of the first line.
In some embodiments, the processing module 702 is further configured to: and carrying out differential processing on at least one pair of adjacent measurement signals in the plurality of measurement signals of the first row to obtain at least one instant electromagnetic interference signal.
In some embodiments, the obtaining module 703 is further configured to: performing signal fitting processing by using the magnetic resonance signals of the at least one first row to obtain magnetic resonance signals of a plurality of second rows, wherein the K space comprises the at least one first row and the plurality of second rows; obtaining a magnetic resonance image based on the magnetic resonance signals of the at least one first row and the magnetic resonance signals of the plurality of second rows.
In some embodiments, the at least one first row includes a plurality of first rows, and the obtaining module 703 is further configured to: obtaining a fitting weight parameter of the K space by using the magnetic resonance signals of the first lines; and performing signal fitting processing on the magnetic resonance signals of the plurality of first lines by using the fitting weight parameters of the K space to obtain magnetic resonance signals of a plurality of second lines.
In some embodiments, the fitting weight parameters are obtained by processing magnetic resonance signals of a plurality of rows distributed in succession; the magnetic resonance signals of the second plurality of lines are obtained by processing the magnetic resonance signals of the boundary line of the plurality of lines that are continuously distributed and the magnetic resonance signals of the plurality of lines that are spaced apart.
In some embodiments, the at least one first row includes a plurality of rows located in a central region of the K-space and distributed continuously, and a plurality of rows located in a peripheral region of the K-space and distributed at intervals.
In some embodiments, the scanning module 701 is further configured to: acquiring target scanning duration; determining at least one of the number of the at least one first line and the number of scans of the first line based on the target scan duration.
It should be noted that details that are not disclosed in the signal processing apparatus of the magnetic resonance system in the embodiment of the present disclosure refer to details that are disclosed in the signal processing method of the magnetic resonance system in the above embodiment of the present disclosure, and are not described herein again.
In summary, the signal processing apparatus of the magnetic resonance system according to the embodiment of the present disclosure performs multiple magnetic resonance scans on at least one first row in the K-space of the magnetic resonance system to obtain multiple measurement signals of the first row, processes the multiple measurement signals of the first row to obtain an electromagnetic interference signal of the first row, and obtains the magnetic resonance signal of the first row according to at least one measurement signal of the multiple measurement signals of the first row and the electromagnetic interference signal of the first row. Therefore, the plurality of measurement signals of the first row can be comprehensively considered to obtain the electromagnetic interference signals of the first row, the granularity of the electromagnetic interference signals is reduced to the first row, the accuracy of the electromagnetic interference signals is improved, the magnetic resonance signals of the first row are obtained based on at least one measurement signal and the electromagnetic interference signals of the first row, the accuracy of the magnetic resonance signals is improved, the cost is low, and the operation is simple.
In order to implement the above embodiments, the present disclosure also proposes an electronic device 800, as shown in fig. 8, the electronic device 800 includes a memory 801 and a processor 802. The processor 802 reads the executable program code stored in the memory 801 to implement the signal processing method of the magnetic resonance system according to any of the above-mentioned possible embodiments of the present disclosure.
The electronic device of the embodiment of the present disclosure executes a computer program stored in a memory through a processor, performs multiple magnetic resonance scans on at least one first line in K space of a magnetic resonance system to obtain multiple measurement signals of the first line, obtains electromagnetic interference signals of the first line by processing the multiple measurement signals of the first line, and obtains magnetic resonance signals of the first line according to at least one measurement signal of the multiple measurement signals of the first line and the electromagnetic interference signals of the first line. Therefore, the electromagnetic interference signals in the first row can be obtained by comprehensively considering the plurality of measurement signals in the first row, the granularity of the electromagnetic interference signals is reduced to the first row, the accuracy of the electromagnetic interference signals is improved, the magnetic resonance signals in the first row are obtained based on at least one measurement signal and the electromagnetic interference signals in the first row, the accuracy of the magnetic resonance signals is improved, the cost is low, and the operation is simple.
In order to implement the foregoing embodiments, the present disclosure further proposes a computer-readable storage medium storing a computer program, which when executed by a computer device, implements the signal processing method of the magnetic resonance system according to any of the above possible embodiments of the present disclosure.
The computer-readable storage medium of the embodiments of the present disclosure, by storing a computer program and being executed by a computer device, performs a plurality of magnetic resonance scans on at least one first line in K-space of a magnetic resonance system to obtain a plurality of measurement signals of the first line, obtains an electromagnetic interference signal of the first line by processing the plurality of measurement signals of the first line, and obtains the magnetic resonance signal of the first line according to at least one of the plurality of measurement signals of the first line and the electromagnetic interference signal of the first line. Therefore, the electromagnetic interference signals in the first row can be obtained by comprehensively considering the plurality of measurement signals in the first row, the granularity of the electromagnetic interference signals is reduced to the first row, the accuracy of the electromagnetic interference signals is improved, the magnetic resonance signals in the first row are obtained based on at least one measurement signal and the electromagnetic interference signals in the first row, the accuracy of the magnetic resonance signals is improved, the cost is low, and the operation is simple.
In order to implement the above embodiments, the present disclosure further proposes a computer program product, which includes computer readable instructions that, when executed by a computer device, implement the signal processing method of the magnetic resonance system according to any possible embodiment of the present disclosure.
In the description of the present disclosure, it is to be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present disclosure and to simplify the description, but are not intended to indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the present disclosure.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying 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. In the description of the present disclosure, "a plurality" means two or more unless specifically limited otherwise.
In the present disclosure, unless otherwise explicitly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integral with; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present disclosure can be understood by those of ordinary skill in the art as appropriate.
In the present disclosure, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature "under," "beneath," and "under" a second feature may be directly under or obliquely under the second feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.

Claims (10)

1. A signal processing method of a magnetic resonance system, comprising:
performing a plurality of magnetic resonance scans on at least one first row in a K-space of the magnetic resonance system to obtain a plurality of measurement signals of the first row;
processing the plurality of measurement signals of the first row to obtain an electromagnetic interference signal of the first row;
and obtaining the magnetic resonance signal of the first row according to at least one of the plurality of measurement signals of the first row and the electromagnetic interference signal of the first row.
2. The method of claim 1, wherein the obtaining the electromagnetic interference signal of the first row by processing the plurality of measurement signals of the first row comprises:
carrying out differential processing on the plurality of measurement signals in the first row to obtain at least one instant electromagnetic interference signal;
and processing the at least one instant electromagnetic interference signal to obtain the electromagnetic interference signal of the first line.
3. The method of claim 2, wherein the differentially processing the plurality of measurement signals of the first row to obtain at least one instantaneous electromagnetic interference signal comprises:
and carrying out differential processing on at least one pair of adjacent measurement signals in the plurality of measurement signals in the first row to obtain at least one instant electromagnetic interference signal.
4. The method of any of claims 1 to 3, further comprising:
performing signal fitting processing by using the magnetic resonance signals of the at least one first row to obtain magnetic resonance signals of a plurality of second rows, wherein the K space comprises the at least one first row and the plurality of second rows;
obtaining a magnetic resonance image based on the magnetic resonance signals of the at least one first row and the magnetic resonance signals of the plurality of second rows.
5. The method of claim 4, wherein the at least one first row comprises a plurality of first rows, and wherein the performing the signal fitting process using the magnetic resonance signals of the at least one first row to obtain the magnetic resonance signals of a plurality of second rows comprises:
obtaining a fitting weight parameter of the K space by using the magnetic resonance signals of the first lines;
and performing signal fitting processing on the magnetic resonance signals of the plurality of first lines by using the fitting weight parameters of the K space to obtain magnetic resonance signals of a plurality of second lines.
6. The method according to claim 5, wherein the fitting weight parameters are obtained by processing magnetic resonance signals of a plurality of rows distributed in succession; and/or
The magnetic resonance signals of the second plurality of lines are obtained by performing signal fitting processing on the magnetic resonance signals of at least one boundary line of the plurality of lines in the continuous distribution and the magnetic resonance signals of the plurality of lines in the spaced distribution.
7. The method according to any one of claims 1-6, wherein the at least one first row comprises a plurality of rows located in a central region of the K-space and distributed continuously, and a plurality of rows located in a peripheral region of the K-space and distributed at intervals.
8. The method according to any one of claims 1-7, further comprising:
acquiring target scanning duration;
determining at least one of the number of the at least one first line and the number of scans of the first line based on the target scan duration.
9. An electronic device, comprising:
a memory, a processor;
wherein the processor implements the method of acquiring magnetic resonance imaging signals of any one of claims 1-8 by reading executable program code stored in the memory.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a computer device, implements the method of acquisition of magnetic resonance imaging signals as claimed in any one of claims 1-8.
CN202211334656.8A 2022-10-28 2022-10-28 Signal processing method for magnetic resonance system, electronic device, and storage medium Pending CN115598573A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117095073A (en) * 2023-08-23 2023-11-21 浙江大学 Medical image denoising method and device based on deep learning

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117095073A (en) * 2023-08-23 2023-11-21 浙江大学 Medical image denoising method and device based on deep learning

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