Phase Calibration Method, Device, Computer Equipment, and Storage Medium

In magnetic resonance imaging technology, the reconstruction and phase correction of odd and even row echo data of K space data is solved, and more efficient phase matching and stable correction results are achieved.

CN114487963BActive Publication Date: 2025-06-24SHANGHAI UNITED IMAGING HEALTHCARE
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Patent Information

Application Number
CN202011166783.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-10-27
Publication Date
2025-06-24
Estimated Expiration
2040-12-08

AI Technical Summary

Technical Problem

In traditional magnetic resonance imaging technology, the phase correction efficiency is low, making it difficult to effectively match the phases of odd-numbered echo data and even-numbered echo data.

Method used

By acquiring the K-space data, split it into odd row echo data and even row echo data, the first and second reconstruction images are reconstructed and formed respectively, the relative phase difference between the two is determined, and the corrected K-space data is obtained based on this difference.

Benefits of technology

The efficiency of phase correction is improved, and the time of collecting phase correction reference data is saved. Especially in scenes with motion interference, more stable correction results can be obtained.

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Abstract

The present application relates to a phase correction method, apparatus, computer device, and storage medium. The method includes: acquiring K-space data; the K-space data includes odd-line echo data and even-line echo data; forming first K-space data by using the odd-line echo data of the K-space data, and forming second K-space data by using the even-line echo data of the K-space data; respectively reconstructing the first K-space data and the second K-space data to form a first reconstructed image and a second reconstructed image; determining the relative phase difference between the odd-line echo data and the even-line echo data according to the first reconstructed image and the second reconstructed image; correcting the odd-line echo data of the K-space data or correcting the even-line echo data of the K-space data according to the relative phase difference to obtain corrected K-space data; reconstructing the corrected K-space data to obtain a magnetic resonance image of a detection object. By using this method, the correction efficiency of the K-space can be improved.
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Description

Technical Field

[0001] This application relates to the field of magnetic resonance imaging technology, and particularly to a phase correction method, apparatus, computer device, and storage medium. Background Art

[0002] In magnetic resonance echo planar imaging (EPI) technology, in order to ensure the matching of odd echo data and even echo data, it is necessary to perform phase correction on the phase between odd echo data and even echo data.

[0003] In traditional technology, mainly by collecting a phase correction reference line without phase encoding, calculating the 0th-order phase deviation and the 1st-order phase deviation between odd echo data and even echo data in the phase correction reference line, and according to the calculated phase deviation, subtracting the phase difference between a certain echo data (such as even echo data) and another echo (such as odd echo data), the phase between odd echo data and even echo data is phase-corrected.

[0004] However, the traditional phase correction method has the problem of low correction efficiency. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide a phase correction method, apparatus, computer device, and storage medium that can improve the correction efficiency.

[0006] A phase correction method, the method includes:

[0007] Obtain K-space data, where the K-space data includes odd row echo data and even row echo data;

[0008] Use the odd row echo data of the K-space data to form a first K-space data, and use the even row echo data of the K-space data to form a second K-space data;

[0009] Reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image;

[0010] Determine the relative phase difference between the odd row echo data and the even row echo data according to the first reconstructed image and the second reconstructed image;

[0011] According to the relative phase difference, correct the odd row echo data of the K-space data or correct the even row echo data of the K-space data to obtain corrected K-space data;

[0012] Reconstruct the corrected K-space data to obtain a magnetic resonance image of the detection object.

[0013] In one embodiment, determining the relative phase difference between the odd-line echo data and the even-line echo data according to the first reconstructed image and the second reconstructed image includes:

[0014] Obtaining the phase values corresponding to each channel of the odd-line echo data according to the first reconstructed image;

[0015] Obtaining the phase values corresponding to each channel of the even-line echo data according to the second reconstructed image;

[0016] Determining the relative phase difference between the odd-line echo data and the even-line echo data according to the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data.

[0017] In one embodiment, the K-space data is acquired by using an imaging sequence, and the imaging sequence is an echo-planar sequence.

[0018] In one embodiment, correcting the odd-line echo data of the K-space data or correcting the even-line echo data of the K-space data according to the relative phase difference to obtain the corrected K-space data includes:

[0019] Correcting the odd-line echo data of the K-space data according to the relative phase difference to obtain the corrected odd-line echo data;

[0020] Combining the corrected odd-line echo data with the even-line echo data of the K-space data to obtain the corrected K-space data.

[0021] In one embodiment, correcting the odd-line echo data of the K-space data or correcting the even-line echo data of the K-space data according to the relative phase difference to obtain the corrected K-space data includes:

[0022] Correcting the even-line echo data of the K-space data according to the relative phase difference to obtain the corrected even-line echo data;

[0023] Combining the corrected even-line echo data with the odd-line echo data of the K-space data to obtain the corrected K-space data.

[0024] A phase correction method includes:

[0025] Obtaining K-space data; the K-space data includes a plurality of echo data;

[0026] Splitting the K-space data into first K-space data and second K-space data;

[0027] Reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image;

[0028] Determine the relative phase difference of adjacent echo data according to the first reconstructed image and the second reconstructed image;

[0029] Correct the K-space data according to the relative phase difference to obtain corrected K-space data.

[0030] In one embodiment, the multiple echo data include odd-row echo data and even-row echo data, the first K-space data is composed of odd-row echo data, and the second K-space data is composed of even-row echo data.

[0031] A phase correction device, the device includes:

[0032] A first acquisition module, configured to acquire K-space data, where the K-space data includes odd-row echo data and even-row echo data;

[0033] A second acquisition module, configured to form first K-space data by using odd-row echo data of the K-space data, and form second K-space data by using even-row echo data of the K-space data;

[0034] A first reconstruction module, configured to reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image;

[0035] A determination module, configured to determine the relative phase difference between the odd-row echo data and the even-row echo data according to the first reconstructed image and the second reconstructed image;

[0036] A correction module, configured to correct the odd-row echo data of the K-space data or correct the even-row echo data of the K-space data according to the relative phase difference to obtain corrected K-space data;

[0037] A second reconstruction module, configured to reconstruct the corrected K-space data to obtain a magnetic resonance image of the detection object.

[0038] A computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0039] Acquire K-space data, where the K-space data includes odd-row echo data and even-row echo data;

[0040] Use the odd-row echo data of the K-space data to form first K-space data, and use the even-row echo data of the K-space data to form second K-space data;

[0041] Reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image;

[0042] Determine the relative phase difference between the odd-line echo data and the even-line echo data according to the first reconstructed image and the second reconstructed image;

[0043] Correct the odd-line echo data of the K-space data or correct the even-line echo data of the K-space data according to the relative phase difference to obtain the corrected K-space data;

[0044] Reconstruct the corrected K-space data to obtain a magnetic resonance image of the object to be detected.

[0045] A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0046] Obtain K-space data, where the K-space data includes odd-line echo data and even-line echo data;

[0047] Use the odd-line echo data of the K-space data to form first K-space data, and use the even-line echo data of the K-space data to form second K-space data;

[0048] Reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image;

[0049] Determine the relative phase difference between the odd-line echo data and the even-line echo data according to the first reconstructed image and the second reconstructed image;

[0050] Correct the odd-line echo data of the K-space data or correct the even-line echo data of the K-space data according to the relative phase difference to obtain the corrected K-space data;

[0051] Reconstruct the corrected K-space data to obtain a magnetic resonance image of the object to be detected.

[0052] The above phase correction method, device, computer device and storage medium use the echo data of odd rows of K-space data to form the first K-space data, and use the echo data of even rows of K-space data to form the second K-space data. The first K-space data and the second K-space data are respectively reconstructed to form a first reconstructed image and a second reconstructed image. In this way, the relative phase difference between the echo data of odd rows and the echo data of even rows can be determined from the image domain according to the first reconstructed image and the second reconstructed image. Moreover, without additionally collecting phase correction reference data, only using the K-space data can remove the phase difference between the echo data of odd rows and the echo data of even rows, which can save the time for collecting reference lines and improve the efficiency of obtaining the corrected K-space data. At the same time, since self-data is used for correction, a more stable correction result will be obtained in a scene with motion interference (such as abdominal scanning). BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 Schematic internal structure diagram of a computer device provided for an embodiment;

[0054] Figure 2 Schematic flowchart of a phase correction method in an embodiment;

[0055] Figure 2a Schematic diagram of the first K-space data and the second K-space data composed of K-space data in an embodiment;

[0056] Figure 2b Schematic diagram of the relative phase difference between the echo data of odd rows and the echo data of even rows in an embodiment;

[0057] Figure 2c Schematic diagram of a magnetic resonance image of a detection object in an embodiment;

[0058] Figure 3 Schematic flowchart of a phase correction method in another embodiment;

[0059] Figure 4 Schematic flowchart of a phase correction method in another embodiment;

[0060] Figure 5 Schematic flowchart of a phase correction method in another embodiment;

[0061] Figure 6 Schematic flowchart of a phase correction method in another embodiment;

[0062] Figure 7 Schematic flowchart of a phase correction method in an embodiment;

[0063] Figure 8 Schematic block diagram of a phase correction device in an embodiment;

[0064] Figure 9 It is a structural block diagram of a phase correction device in an embodiment. Specific implementation manners

[0065] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0066] The phase correction method provided by the embodiments of the present application can be applicable to a Figure 1 computer device as shown. The computer device includes a processor and a memory connected through a system bus. A computer program is stored in the memory. When the processor executes the computer program, it can execute the steps of the method embodiments described below. Optionally, the computer device may further include a network interface, a display screen, and an input device. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. Optionally, the computer device may be a server, a personal computer, a personal digital assistant, or other terminal devices, such as a tablet computer, a mobile phone, etc., or may be a cloud or a remote server. The specific form of the computer device is not limited in the embodiments of the present application.

[0067] In view of the problem of low signal correction efficiency in the prior art, the present application proposes a phase correction method applicable to the correction of magnetic resonance signals. The method includes: acquiring K-space data, where the K-space data includes a plurality of echo data; splitting the K-space data into first K-space data and second K-space data; respectively reconstructing the first K-space data and the second K-space data to form a first reconstructed image and a second reconstructed image; determining the relative phase difference between adjacent echo data according to the first reconstructed image and the second reconstructed image; and correcting the K-space data according to the relative phase difference to obtain corrected K-space data. The K-space data can be acquired by a planar echo imaging sequence. The plurality of echo data includes odd-row echo data and even-row echo data, and the first K-space data is composed of odd-row echo data, and the second K-space data is composed of even-row echo data.

[0068] In one embodiment, as Figure 2 shown, a phase correction method is provided. Taking the method applied to the Figure 1 computer device as an example, the method includes the following steps:

[0069] S201. Obtain K-space data, where the K-space data includes odd-line echo data and even-line echo data.

[0070] Specifically, the computer device uses an imaging sequence to perform a scan on the detection object to obtain K-space data collected by multiple channels. Among them, the K-space data includes odd-line echo data and even-line echo data. Among them, the imaging sequence can be an Echo Planar Imaging (EPI) sequence, which is a special form of gradient echo. It uses a fast reverse gradient to generate a series of gradient echoes within a single relaxation time and performs phase encoding on them respectively, filling them into the corresponding K-space to achieve cross-sectional imaging.

[0071] S202. Use the odd-line echo data of the K-space data to form the first K-space data, and use the even-line echo data of the K-space data to form the second K-space data.

[0072] Specifically, the computer device uses the odd-line echo data of the K-space data to form the first K-space data, and uses the even-line echo data of the K-space data to form the second K-space data. Optionally, the computer device can form the first K-space data by using all the odd-line echo data of the K-space data, form the second K-space data by using all the even-line echo data of the K-space data, or form the first K-space data by using some of the odd-line echo data of the K-space data, and form the second K-space data by using some of the even-line echo data of the K-space data.

[0073] Figure 2a FIG. is a schematic diagram of the first K-space data and the second K-space data formed by the K-space data in an embodiment. Among them, Ko represents the K-space data obtained by using the imaging sequence. The K-space data includes data lines with two different arrow directions. In this embodiment, the data lines pointed by the positive arrows represent odd-line echo data, and the data lines pointed by the negative arrows represent even-line echo data. Use the odd-line echo data of the K-space data Ko to form the first K-space data Ka; use the even-line echo data of the K-space data to form the second K-space data Kb. Further, the unfilled areas of the K-space corresponding to the first K-space data Ka and the second K-space data Kb can be respectively simulated and filled. For example, use the adjacent data lines pointed by the positive arrows to obtain the positive-arrow simulated data lines (shown as dotted lines in the figure), and use the adjacent data lines pointed by the negative arrows to obtain the negative-arrow simulated data lines (shown as dotted lines in the figure).

[0074] S203. Reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image.

[0075] Specifically, the computer device reconstructs the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image. Optionally, the computer device may use a preset reconstruction algorithm, for example, a compressed sensing algorithm, a parallel imaging algorithm, etc. to reconstruct the first K-space data and the second K-space data to form a first reconstructed image and a second reconstructed image.

[0076] Optionally, the first reconstructed image or the second reconstructed image can be obtained by reconstruction in the following manner. In this embodiment, taking the reconstruction of the first reconstructed image from the first K-space data as an example: Obtain the calibration data points corresponding to each channel for each data set, and the calibration data points are full sampling; Use the calibration data points to synthesize a filter; Apply the synthesized filter to the first K-space data to obtain a plurality of coupled simultaneous linear equations with a plurality of unknowns; And solve the plurality of coupled simultaneous linear equations with a plurality of unknowns to obtain a complete data set. In this embodiment, a local region data set formed by the odd-numbered rows of data and the even-numbered rows of data in the center of the K-space data can be selected as the calibration data points. Optionally, the calibration data points can also be a local region data set formed by the odd-numbered rows of data and the even-numbered rows of data in the center of the corrected K-space data. In this embodiment, the correction method for the odd-numbered rows of data and the even-numbered rows of data in the center of the K-space data can be: Simultaneously collect three reference echo signals without phase encoding, and the three reference echo signals are an even signal, an odd signal, and an even signal respectively; Calculate the correction parameters through the reference echo signals. Exemplarily, the correction parameters can be calculated by complex conjugate multiplication after Fourier transform of the reference echo signals.

[0077] S204. Determine the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data according to the first reconstructed image and the second reconstructed image.

[0078] Specifically, the computer device determines the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data in the K-space data according to the obtained first reconstructed image and second reconstructed image. Optionally, the computer device can obtain the phase value of the odd-numbered row echo data according to the first reconstructed image, obtain the phase value of the even-numbered row echo data according to the second reconstructed image, and obtain the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data according to the obtained phase value of the odd-numbered row echo data and the phase value of the even-numbered row echo data. Exemplarily, as Figure 2b shown, it is a schematic diagram of the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data obtained.

[0079] In one embodiment, the image domain data corresponding to the first K-space data can be expressed as: The image domain data corresponding to the second K-space data can be expressed as Where, ch represents the channel index; A represents the amplitude, P represents the phase, and P = e iθ . The phase difference between the image domain data corresponding to the first K-space data and the image domain data corresponding to the second K-space data can be expressed as: ΔP = e iΔθ = e i(θ1-θ2) = P1 / P2; To exclude noise interference, according to the first calculation space and the second calculation space, the following formula can be used to obtain the phase difference:

[0080] S205. According to the relative phase difference, correct the odd-line echo data of the K-space data or correct the even-line echo data of the K-space data to obtain the corrected K-space data.

[0081] Specifically, the computer device corrects the odd-line echo data of the K-space data or corrects the even-line echo data of the K-space data according to the relative phase difference between the obtained odd-line echo data and even-line echo data, to obtain the corrected K-space data. Optionally, the computer device can correct the odd-line echo data of the K-space data according to the relative phase difference between the obtained odd-line echo data and even-line echo data, to obtain the corrected odd-line echo data, and obtain the corrected K-space data according to the corrected odd-line echo data. Optionally, the computer device can also correct the even-line echo data of the K-space data according to the relative error phase difference between the obtained odd-line echo data and even-line echo data, to obtain the corrected even-line echo data, and obtain the corrected K-space data according to the corrected even-line echo data.

[0082] S206. Reconstruct the corrected K-space data to obtain the magnetic resonance image of the detection object.

[0083] Specifically, the computer device reconstructs the corrected K-space data obtained above to obtain the magnetic resonance image of the detection object above. Optionally, the computer device can use a preset reconstruction algorithm, for example, a compressed sensing algorithm, a parallel imaging algorithm, etc. to reconstruct the corrected K-space data to obtain the magnetic resonance image of the detection object. Exemplarily, as Figure 2c shown, Figure 2c On the left is the magnetic resonance image of the detection object reconstructed from the corrected K-space data obtained by this solution, Figure 2c On the right is the magnetic resonance image of the detection object obtained by the traditional method. It can be seen from Figure 2c that by using the phase correction method of this solution, not only is no additional phase correction reference line collected, but also compared with the traditional correction method, the correction result of the phase correction method of this solution is more accurate.

[0084] In the above phase correction method, the computer device uses the echo data of the odd rows of the K-space data to form the first K-space data, and uses the echo data of the even rows of the K-space data to form the second K-space data. The first K-space data and the second K-space data are respectively reconstructed to form a first reconstructed image and a second reconstructed image. In this way, the relative phase difference between the echo data of the odd rows and the echo data of the even rows can be determined from the image domain according to the first reconstructed image and the second reconstructed image. Moreover, without the need to additionally collect phase correction reference data, only the K-space data is used to remove the phase difference between the echo data of the odd rows and the echo data of the even rows, which can save the time for collecting reference lines and improve the efficiency of obtaining the corrected K-space data. At the same time, since self-data is used for correction, a more stable correction result will be obtained in a scenario with motion interference (such as abdominal scanning).

[0085] In the above scenario of determining the relative phase difference between the echo data of the odd rows and the echo data of the even rows according to the first reconstructed image and the second reconstructed image, the computer device can obtain the phase values corresponding to each channel of the echo data of the odd rows and the phase values corresponding to each channel of the echo data of the even rows, so as to obtain the relative phase difference between the echo data of the odd rows and the echo data of the even rows. In one embodiment, as Figure 3 shown, the above S204 includes:

[0086] S301, according to the first reconstructed image, obtain the phase values corresponding to each channel of the echo data of the odd rows.

[0087] Specifically, the computer device obtains the phase values corresponding to each channel of the above echo data of the odd rows according to the first reconstructed image obtained above. Optionally, the computer device can perform a Fourier transform on the first reconstructed image, change the pixel value of each pixel of the first reconstructed image into a complex number, and obtain the phase values corresponding to each channel of the echo data of the odd rows in the K-space according to the complex number.

[0088] S302, according to the second reconstructed image, obtain the phase values corresponding to each channel of the echo data of the even rows.

[0089] Specifically, the computer device obtains the phase values corresponding to each channel of the above echo data of the even rows according to the second reconstructed image obtained above. Optionally, the computer device can perform a Fourier transform on the second reconstructed image, change the pixel value of each pixel of the second reconstructed image into a complex number, and obtain the phase values corresponding to each channel of the echo data of the even rows in the K-space according to the complex number.

[0090] S303, according to the phase values corresponding to each channel of the echo data of the odd rows and the phase values corresponding to each channel of the echo data of the even rows, determine the relative phase difference between the echo data of the odd rows and the echo data of the even rows.

[0091] Specifically, the computer device determines the relative phase difference between the odd-line echo data and the even-line echo data based on the phase values corresponding to each channel of the above odd-line echo data and the phase values corresponding to each channel of the above even-line echo data. Optionally, the computer device may use the following formula: Delta_Phase = ∑T_i * conj(Adj_i) / abs(∑T_i * conj(Adj i )) to determine the relative phase difference between the odd-line echo data and the even-line echo data. In the formula, Delta_Phase is the relative phase difference between the odd-line echo data and the even-line echo data, T_i is the i-th channel in T, Adj_i is the i-th channel in Adj, conj is the conjugate operation, abs is the amplitude operation, and the target data can be defined as the first echo (or the sum of multiple echoes). It should be noted that if the odd-line echo data is corrected, then T is the even-line echo data and Adj is the odd-line echo data; if the even-line echo data is corrected, then T is the odd-line echo data and Adj is the even-line echo data.

[0092] In this embodiment, based on the first reconstructed image, the computer device can quickly obtain the phase values corresponding to each channel of the odd-line echo data of the K-space data. Based on the second reconstructed image, the computer device can quickly obtain the phase values corresponding to each channel of the even-line echo data of the K-space data. Furthermore, based on the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data, the computer device can quickly determine the relative phase difference between the odd-line echo data and the even-line echo data, improving the efficiency of obtaining the relative phase difference between the odd-line echo data and the even-line echo data.

[0093] In the scenario of determining the relative phase difference between the odd-line echo data and the even-line echo data based on the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data, the computer device may perform K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data to obtain the relative phase difference between the odd-line echo data and the even-line echo data. In one embodiment, the above S303 includes: performing K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data to obtain the relative phase difference between the odd-line echo data and the even-line echo data.

[0094] Specifically, based on the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, the computer device performs K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data, to obtain the relative phase difference between the odd-line echo data and the even-line echo data. Exemplarily, if the computer device wants to correct the odd-line echo data, the computer device performs K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data, to obtain the relative phase difference between the odd-line echo data and the even-line echo data; if the computer device wants to correct the even-line echo data, the computer device performs K-space downsampling on the difference between the phase values corresponding to each channel of the even-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the even-line echo data, to obtain the relative phase difference between the odd-line echo data and the even-line echo data. Optionally, before performing K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, the computer device can perform noise reduction processing on the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data, to obtain the difference after noise reduction processing, and then perform K-space downsampling on the difference after noise reduction processing according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, to obtain the relative phase difference between the odd-line echo data and the even-line echo data.

[0095] In this embodiment, based on the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, the computer device can quickly perform K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data, so as to quickly obtain the relative phase difference between the odd-line echo data and the even-line echo data, improving the efficiency of obtaining the relative phase difference between the odd-line echo data and the even-line echo data.

[0096] In the scenario of determining the relative phase difference between the odd-line echo data and the even-line echo data based on the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data, the computer device can obtain the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data and the coil sensitivity factor of each channel, and determine the relative phase difference between the odd-line echo data and the even-line echo data according to the coil sensitivity factor of each channel. In one embodiment, as Figure 4 shown, the above S303 includes:

[0097] S401. Perform K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, to obtain the downsampled difference.

[0098] Specifically, the computer device performs K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, to obtain the downsampled difference.

[0099] S402. Obtain the coil sensitivity factor of each channel.

[0100] Specifically, the computer device obtains the coil sensitivity factors of the above-mentioned multiple channels. The method for obtaining the coil sensitivity can be the standard coil sensitivity calculation method, or the pre-scan automatic calibration method, or the automatic calibration coil sensitivity estimation method, or the dynamic coil sensitivity calibration method, and can be selected according to the actual situation in actual use. In this embodiment, the pre-scan automatic calibration method is taken as an example for illustration. Specifically: First, pre-scan the region of interest through a coil unit with a preset number of coils to obtain pre-scan data; then determine the coil sensitivity of each coil unit according to the pre-scan data. Among them, during pre-scanning, the entire region of interest can be scanned, or only a part of the region of interest can be scanned.

[0101] S403. Perform weighted summation on each difference according to the coil sensitivity factor of each channel to determine the relative phase difference between the odd-line echo data and the even-line echo data.

[0102] Specifically, the computer device performs weighted summation on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data obtained above according to the coil sensitivity factor of each channel obtained above, to determine the relative phase difference between the odd-line echo data and the even-line echo data.

[0103] In this embodiment, the computer device first obtains the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data, and then can quickly perform weighted summation on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the obtained coil sensitivity factor of each channel, thereby improving the efficiency of determining the relative phase difference between the odd-line echo data and the even-line echo data.

[0104] In the scenario of correcting the odd-line echo data of the K-space data or the even-line echo data of the K-space data according to the relative phase difference between the odd-line echo data and the even-line echo data, and obtaining the corrected K-space data, the computer device can correct the odd-line echo data of the K-space data or the even-line echo data of the K-space data. The following details the specific implementation methods for correcting the two types of echo data of the K-space data.

[0105] In one embodiment, as Figure 5 shown, S205 above includes:

[0106] S501, correcting the odd-line echo data of the K-space data according to the relative phase difference to obtain the corrected odd-line echo data.

[0107] Specifically, the computer device corrects the odd-line echo data of the K-space data according to the relative phase difference between the odd-line echo data and the even-line echo data to obtain the corrected odd-line echo data. Optionally, the computer device can obtain the corrected odd-line echo data according to the formula: Adj_renew = Adj * Delta_Phase_trj, where Adj is the odd-line echo data of the K-space data, Delta_Phase_trj is the relative phase difference between the odd-line echo data and the even-line echo data, and Adj_renew is the corrected odd-line echo data.

[0108] S502, combining the corrected odd-line echo data with the even-line echo data of the K-space data to obtain the corrected K-space data.

[0109] Specifically, the computer device combines the obtained corrected odd-line echo data with the even-line echo data of the K-space data to obtain the corrected K-space data. Exemplarily, for example, if there are 10 odd-line echo data and 10 even-line echo data in the K-space, after correcting these 10 odd-line echo data, the computer device combines these 10 corrected odd-line echo data with these 10 even-line echo data, and the obtained corrected K-space data is a K-space including 20 echo data.

[0110] In this embodiment, the computer device can quickly correct the odd-line echo data of the K-space data according to the relative phase difference between the odd-line echo data and the even-line echo data, improving the efficiency of obtaining the corrected odd-line echo data. Furthermore, it can quickly combine the corrected odd-line echo data with the even-line echo data of the K-space data, thereby improving the efficiency of obtaining the corrected K-space data.

[0111] In one embodiment, as Figure 6As shown above, S205 includes:

[0112] S601, according to the relative phase difference, correct the echo data of the even rows of the K-space data to obtain the corrected echo data of the even rows.

[0113] Specifically, the computer device corrects the echo data of the even rows of the K-space data according to the relative phase difference between the odd-row echo data and the even-row echo data, and obtains the corrected echo data of the even rows. Optionally, the computer device can obtain the corrected echo data of the even rows according to the formula: Adj_renew = Adj * Delta_Phase_trj, where Adj is the echo data of the even rows of the K-space data, Delta_Phase_trj is the relative phase difference between the odd-row echo data and the even-row echo data, and Adj_renew is the corrected echo data of the even rows.

[0114] S602, merge the corrected echo data of the even rows with the odd-row echo data of the K-space data to obtain the corrected K-space data.

[0115] Specifically, the computer device merges the obtained corrected echo data of the even rows with the odd-row echo data of the K-space data to obtain the corrected K-space data. Exemplarily, for example, if there are 10 odd-row echo data and 10 even-row echo data in the K-space, after correcting these 10 even-row echo data, the computer device merges these 10 corrected even-row echo data with these 10 odd-row echo data, and the obtained corrected K-space data is a K-space including 20 echo data.

[0116] In this embodiment, the computer device can quickly correct the echo data of the even rows of the K-space data according to the relative phase difference between the odd-row echo data and the even-row echo data, improve the efficiency of obtaining the corrected echo data of the even rows, and then can quickly merge the corrected echo data of the even rows with the echo data of the even rows of the K-space data, thereby improving the efficiency of obtaining the corrected K-space data.

[0117] In one embodiment, as Figure 7 shown, a phase correction method is provided. Taking the case where this method is applied to the computer device in Figure 1 as an example, it includes the following steps:

[0118] S701, obtain K-space data, where the K-space data includes multiple echo data.

[0119] Specifically, the computer device obtains the K-space data. Among them, the K-space data includes multiple echo data. Optionally, the multiple echo data includes odd-row echo data and even-row echo data.

[0120] S702. Split the K-space data into first K-space data and second K-space data.

[0121] Specifically, the computer device splits the K-space data into first K-space data and second K-space data. Optionally, the first K-space data consists of odd-line echo data, and the second K-space data consists of even-line echo data. Please continue to refer to the above Figure 2a , Figure 2a FIG. is a schematic diagram of the first K-space data and the second K-space data composed of K-space data in an embodiment. Among them, Ko represents the K-space data collected by using the imaging sequence. There are two types of data lines with different arrow directions in this K-space data. In this embodiment, the data lines pointed by the forward arrows represent odd-line echo data, and the data lines pointed by the negative arrows represent even-line echo data. The odd-line echo data of the K-space data Ko is used to form the first K-space data Ka; the even-line echo data of the K-space data is used to form the second K-space data Kb. Further, the unfilled regions of the K-spaces corresponding to the first K-space data Ka and the second K-space data Kb can be respectively simulated and filled. For example, the forward-arrow simulated data lines (shown as dotted lines in the figure) are obtained by using the adjacent data lines pointed by the forward arrows, and the negative-arrow simulated data lines (shown as dotted lines in the figure) are obtained by using the adjacent data lines pointed by the negative arrows.

[0122] S703. Reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image.

[0123] Specifically, the computer device reconstructs the above-mentioned first K-space data and the above-mentioned second K-space data respectively to form a first reconstructed image and a second reconstructed image. Optionally, the computer device can use a preset reconstruction algorithm, for example, a compressed sensing algorithm, a parallel imaging algorithm, etc. to reconstruct the above-mentioned first K-space data and the above-mentioned second K-space data to form a first reconstructed image and a second reconstructed image.

[0124] Optionally, the first reconstructed image or the second reconstructed image can be obtained by reconstruction in the following manner. In this embodiment, taking the reconstruction of the first reconstructed image from the first K-space data as an example: Obtain the calibration data points corresponding to each channel for each data set, where the calibration data points are full-sampled; Use the calibration data points to synthesize a filter; Apply the synthesized filter to the first K-space data to obtain a plurality of coupled simultaneous linear equations with a plurality of unknowns; And solve the plurality of coupled simultaneous linear equations with a plurality of unknowns to obtain a complete data set. In this embodiment, a local region data set formed by the odd-numbered rows of data and the even-numbered rows of data at the center in the K-space data can be selected as the calibration data points. Optionally, the calibration data points can also be a local region data set formed by the odd-numbered rows of data and the even-numbered rows of data at the center in the corrected K-space data. In this embodiment, the method for correcting the odd-numbered rows of data and the even-numbered rows of data at the center in the K-space data can be: Simultaneously collect three reference echo signals without phase encoding, where the three reference echo signals are an even signal, an odd signal, and an even signal respectively; Calculate the correction parameters through the reference echo signals. Exemplarily, the correction parameters can be calculated by complex conjugate multiplication after Fourier transform of the reference echo signals.

[0125] S704, Determine the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data according to the first reconstructed image and the second reconstructed image.

[0126] Specifically, the computer device determines the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data in the above K-space data according to the first reconstructed image and the second reconstructed image obtained above. Optionally, the computer device can obtain the phase value of the odd-numbered row echo data according to the first reconstructed image above, obtain the phase value of the even-numbered row echo data according to the second reconstructed image above, and obtain the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data according to the obtained phase value of the odd-numbered row echo data and the phase value of the even-numbered row echo data. Exemplarily, as Figure 2b shown, it is a schematic diagram of the relative phase difference between the odd-numbered row echo data and the even-numbered row echo data obtained.

[0127] In one embodiment, the image domain data corresponding to the first K-space data can be expressed as: The image domain data corresponding to the second K-space data can be expressed as where ch represents the channel index; A represents the amplitude, P represents the phase, and P = e iθ . The phase difference between the image domain data corresponding to the first K-space data and the image domain data corresponding to the second K-space data can be expressed as: ΔP = e iΔθ = e i(θ1-θ2) = P1 / P2; To exclude noise interference, the phase difference can be obtained according to the first calculation space and the second calculation space using the following formula:

[0128] S705, correct the echo data of odd rows of K-space data or correct the echo data of even rows of K-space data according to the relative phase difference to obtain the corrected K-space data.

[0129] Specifically, the computer device corrects the echo data of odd rows of K-space data or corrects the echo data of even rows of K-space data according to the relative phase difference between the obtained echo data of odd rows and even rows to obtain the corrected K-space data. Optionally, the computer device may correct the echo data of odd rows of K-space data according to the relative phase difference between the obtained echo data of odd rows and even rows to obtain the corrected echo data of odd rows, and obtain the corrected K-space data according to the corrected echo data of odd rows. Optionally, the computer device may also correct the echo data of even rows of K-space data according to the relative error phase difference between the obtained echo data of odd rows and even rows to obtain the corrected echo data of even rows, and obtain the corrected K-space data according to the corrected echo data of even rows.

[0130] In the above phase correction method, the computer device splits the acquired K-space data into first K-space data and second K-space data, reconstructs the first K-space data and the second K-space data respectively, and can form a first reconstructed image and a second reconstructed image. In this way, the relative phase difference between the echo data of odd rows and even rows can be determined from the image domain according to the first reconstructed image and the second reconstructed image. Moreover, without the need to additionally collect phase correction reference data, only the K-space data can be used to remove the phase difference between the echo data of odd rows and even rows, which can save the time for collecting reference lines and improve the efficiency of obtaining the corrected K-space data. At the same time, since self-data is used for correction, a more stable correction result will be obtained in a scenario with motion interference (such as abdominal scanning).

[0131] It should be understood that although Figure 2-7 the steps in the flowchart of Figure 2-7 are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover,

[0132] In one embodiment, as Figure 8As shown, a phase correction device is provided, including: a first acquisition module, a second acquisition module, a first reconstruction module, a determination module, a correction module, and a second reconstruction module, where:

[0133] The first acquisition module is configured to perform a scan on a detection object using an echo planar imaging sequence to obtain K-space data; the K-space data includes odd-line echo data and even-line echo data.

[0134] The second acquisition module is configured to form first K-space data using the odd-line echo data of the K-space data and form second K-space data using the even-line echo data of the K-space data.

[0135] The first reconstruction module is configured to reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image.

[0136] The determination module is configured to determine the relative phase difference between the odd-line echo data and the even-line echo data according to the first reconstructed image and the second reconstructed image.

[0137] The correction module is configured to correct the odd-line echo data of the K-space data or correct the even-line echo data of the K-space data according to the relative phase difference to obtain the corrected K-space data.

[0138] The second reconstruction module is configured to reconstruct the corrected K-space data to obtain a magnetic resonance image of the detection object.

[0139] Optionally, the K-space data is acquired using an imaging sequence, and the imaging sequence is an echo planar sequence.

[0140] The phase correction device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0141] Based on the above embodiment, optionally, the above correction module includes: a first correction unit and a first merging unit, where:

[0142] The first correction unit is configured to correct the odd-line echo data of the K-space data according to the relative phase difference to obtain the corrected odd-line echo data.

[0143] The first merging unit is configured to merge the corrected odd-line echo data with the even-line echo data of the K-space data to obtain the corrected K-space data.

[0144] The phase correction device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0145] Based on the above embodiments, optionally, the above correction module includes: a second correction unit and a second merging unit, where:

[0146] The second correction unit is configured to correct the echo data of the even rows of the K-space data according to the relative phase difference to obtain the corrected echo data of the even rows.

[0147] The second merging unit is configured to merge the corrected echo data of the even rows with the echo data of the odd rows of the K-space data to obtain the corrected K-space data.

[0148] The phase correction device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0149] For the specific limitations of the phase correction device, reference can be made to the limitations on the phase correction method in the above text, which will not be elaborated here. Each module in the above phase correction device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0150] In one embodiment, as Figure 9 shown, a phase correction device is provided, including: an acquisition module, a splitting module, a reconstruction module, a determination module, and a correction module, where:

[0151] The acquisition module is configured to acquire K-space data; the K-space data includes a plurality of echo data.

[0152] The splitting module is configured to split the K-space data into first K-space data and second K-space data.

[0153] The reconstruction module is configured to respectively reconstruct the first K-space data and the second K-space data to form a first reconstructed image and a second reconstructed image.

[0154] The determination module is configured to determine the relative phase difference between adjacent echo data according to the first reconstructed image and the second reconstructed image.

[0155] The correction module is configured to correct the K-space data according to the relative phase difference to obtain the corrected K-space data.

[0156] Optionally, the plurality of echo data includes odd-row echo data and even-row echo data, and the first K-space data is composed of odd-row echo data, and the second K-space data is composed of even-row echo data.

[0157] The phase correction device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0158] For the specific limitations of the phase correction device, reference can be made to the limitations on the phase correction method in the above text, which will not be elaborated here. Each module in the above phase correction device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0159] In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented:

[0160] Perform a scan on the detection object using an echo planar imaging sequence to obtain K-space data; the K-space data is obtained by collecting data from multiple channels; the K-space data includes odd-line echo data and even-line echo data;

[0161] Use the odd-line echo data of the K-space data to form the first K-space data, and use the even-line echo data of the K-space data to form the second K-space data;

[0162] Reconstruct the first K-space data and the second K-space data respectively to form the first reconstructed image and the second reconstructed image;

[0163] Determine the relative phase difference between the odd-line echo data and the even-line echo data according to the first reconstructed image and the second reconstructed image;

[0164] Correct the odd-line echo data of the K-space data or correct the even-line echo data of the K-space data according to the relative phase difference to obtain the corrected K-space data;

[0165] Reconstruct the corrected K-space data to obtain the magnetic resonance image of the detection object.

[0166] The computer device provided in the above embodiment has an implementation principle and technical effects similar to those of the above method embodiment, which will not be elaborated here.

[0167] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0168] Perform a scan on the detection object using an echo planar imaging sequence to obtain K-space data; the K-space data is obtained by collecting data from multiple channels; the K-space data includes odd-line echo data and even-line echo data;

[0169] The odd-line echo data of the K-space data are used to form the first K-space data, and the even-line echo data of the K-space data are used to form the second K-space data;

[0170] The first K-space data and the second K-space data are respectively reconstructed to form a first reconstructed image and a second reconstructed image;

[0171] Based on the first reconstructed image and the second reconstructed image, the relative phase difference between the odd-line echo data and the even-line echo data is determined;

[0172] Based on the relative phase difference, the odd-line echo data of the K-space data or the even-line echo data of the K-space data are corrected to obtain the corrected K-space data;

[0173] The corrected K-space data is reconstructed to obtain the magnetic resonance image of the object to be detected.

[0174] For the computer-readable storage medium provided in the above embodiment, its implementation principle and technical effects are similar to those of the above method embodiment, and will not be elaborated here.

[0175] In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented:

[0176] Obtain K-space data; the K-space data includes a plurality of echo data;

[0177] The K-space data is split into a first K-space data and a second K-space data;

[0178] The first K-space data and the second K-space data are respectively reconstructed to form a first reconstructed image and a second reconstructed image;

[0179] Based on the first reconstructed image and the second reconstructed image, the relative phase difference between adjacent echo data is determined;

[0180] Based on the relative phase difference, the K-space data is corrected to obtain the corrected K-space data.

[0181] For the computer device provided in the above embodiment, its implementation principle and technical effects are similar to those of the above method embodiment, and will not be elaborated here.

[0182] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0183] Obtain K-space data; the K-space data includes a plurality of echo data;

[0184] The K-space data is split into a first K-space data and a second K-space data;

[0185] Reconstruct the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image;

[0186] Determine the relative phase difference of adjacent echo data according to the first reconstructed image and the second reconstructed image;

[0187] Correct the K-space data according to the relative phase difference to obtain the corrected K-space data.

[0188] The computer-readable storage medium provided in the above embodiments has the same implementation principle and technical effects as the above method embodiments, and will not be described in detail here.

[0189] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above method embodiments. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0190] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0191] The above-described embodiments only represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A phase correction method, characterized in that, The method includes: Obtaining K-space data, where the K-space data includes odd-line echo data and even-line echo data; Using the odd-line echo data of the K-space data to form first K-space data, and using the even-line echo data of the K-space data to form second K-space data; Reconstructing the first K-space data and the second K-space data respectively to form a first reconstructed image and a second reconstructed image; Obtaining the phase values corresponding to each channel of the odd-line echo data according to the first reconstructed image; Obtaining the phase values corresponding to each channel of the even-line echo data according to the second reconstructed image; Performing K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, to obtain the relative phase difference between the odd-line echo data and the even-line echo data; Correcting the odd-line echo data of the K-space data or correcting the even-line echo data of the K-space data according to the relative phase difference to obtain corrected K-space data; Reconstructing the corrected K-space data to obtain a magnetic resonance image of the detection object.

2. The method according to claim 1, wherein The performing K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, to obtain the relative phase difference between the odd-line echo data and the even-line echo data, includes: Performing K-space downsampling on the difference between the phase values corresponding to each channel of the odd-line echo data and the phase values corresponding to each channel of the even-line echo data according to the acquisition trajectory of the odd-line echo data or the acquisition trajectory of the even-line echo data, to obtain the downsampled difference corresponding to each channel; Obtaining the coil sensitivity factor of each channel; Performing weighted summation on the downsampled difference corresponding to each channel according to the coil sensitivity factor of each channel to determine the relative phase difference between the odd-line echo data and the even-line echo data.

3. The method according to claim 1, wherein The K-space data is obtained by using an imaging sequence, and the imaging sequence is an echo planar sequence.

4. The method according to claim 1, wherein The correcting the odd-line echo data of the K-space data or correcting the even-line echo data of the K-space data according to the relative phase difference to obtain corrected K-space data, includes: Correcting the odd-line echo data of the K-space data according to the relative phase difference to obtain corrected odd-line echo data; Combining the corrected odd-line echo data with the even-line echo data of the K-space data to obtain the corrected K-space data.

5. The method according to claim 1, characterized in that, The correcting the odd-line echo data of the K-space data or correcting the even-line echo data of the K-space data according to the relative phase difference to obtain corrected K-space data, includes: Correcting the even-line echo data of the K-space data according to the relative phase difference to obtain corrected even-line echo data; Merge the corrected even - line echo data with the odd - line echo data of the K - space data to obtain the corrected K - space data.

6. A phase correction method, characterized in that, The method includes: Obtain K - space data; the K - space data includes a plurality of echo data; Split the K - space data into first K - space data and second K - space data; Reconstruct the first K - space data and the second K - space data respectively to form a first reconstructed image and a second reconstructed image; According to the first reconstructed image, obtain the phase values corresponding to each channel of the first K - space data; According to the second reconstructed image, obtain the phase values corresponding to each channel of the second K - space data; According to the acquisition trajectory of the first K - space data or the acquisition trajectory of the second K - space data, perform K - space down - sampling on the difference between the phase values corresponding to each channel of the first K - space data and the phase values corresponding to each channel of the second K - space data to obtain the relative phase difference between adjacent first K - space data and second K - space data; According to the relative phase difference, correct the K - space data to obtain the corrected K - space data.

7. The method according to claim 6, characterized in that, The plurality of echo data includes odd - line echo data and even - line echo data, and the first K - space data is composed of odd - line echo data, and the second K - space data is composed of even - line echo data.

8. A phase correction device, characterized in that, The device includes: A first acquisition module for obtaining K - space data, the K - space data including odd - line echo data and even - line echo data; A second acquisition module for forming first K - space data using the odd - line echo data of the K - space data and forming second K - space data using the even - line echo data of the K - space data; A first reconstruction module for reconstructing the first K - space data and the second K - space data respectively to form a first reconstructed image and a second reconstructed image; A determination module for obtaining the phase values corresponding to each channel of the odd - line echo data according to the first reconstructed image; obtaining the phase values corresponding to each channel of the even - line echo data according to the second reconstructed image; performing K - space down - sampling on the difference between the phase values corresponding to each channel of the odd - line echo data and the phase values corresponding to each channel of the even - line echo data according to the acquisition trajectory of the odd - line echo data or the acquisition trajectory of the even - line echo data to obtain the relative phase difference between the odd - line echo data and the even - line echo data; A correction module for correcting the odd - line echo data of the K - space data or correcting the even - line echo data of the K - space data according to the relative phase difference to obtain the corrected K - space data; A second reconstruction module for reconstructing the corrected K - space data to obtain a magnetic resonance image of the detection object.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Citation Information

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    JP2016214665A