Image reconstruction method, device, computer equipment and storage medium

Abstract

The present application relates to an image reconstruction method, device, computer equipment and storage medium, which obtains T1-weighted images of multiple channels of a target part and reference images of multiple channels of the target part, and suppresses background phase information in each channel according to each channel image of the T1-weighted image and the corresponding channel image in the reference image, obtains candidate real images of each channel, and suppresses background phase information in each channel image of the reference image, obtains reference real images of each channel, and then determines the reconstructed image of the target part according to each candidate real image and each reference real image. The overall process of the method is simple and improves the efficiency of image reconstruction.

Description

Technical Field

[0001] The present application relates to the field of image processing technology, and in particular to an image reconstruction method, apparatus, computer equipment and storage medium. Background Art

[0002] Magnetic resonance imaging (MRI) is an imaging technique that uses the signals generated by the resonance of atomic nuclei in a strong magnetic field to reconstruct images. For example, MRI can be used to determine myocardial infarction tissue and normal tissue by evaluating myocardial activity.

[0003] In order to improve the contrast between myocardial infarction tissue and normal tissue in cardiac magnetic resonance images, delayed enhancement images are generally used to set time inversion (TI) to improve the contrast between normal tissue and infarction tissue. However, due to differences between different patients and operators, the waiting time for injection is also different, which often leads to failure in setting TI and failure to obtain the correct contrast. Based on this, phase-sensitive imaging technology has emerged. Phase-sensitive imaging technology retains the symbol information in the image so that during the recovery process of the inversion recovery sequence, no matter what TI is used, the consistent contrast between myocardial infarction tissue and normal tissue can be maintained.

[0004] However, the existing phase-sensitive imaging technology is relatively complicated in the image reconstruction process, resulting in low image reconstruction efficiency. Summary of the invention

[0005] Based on this, it is necessary to provide an image reconstruction method, device, computer equipment and storage medium that can improve the image reconstruction efficiency in response to the above technical problems.

[0006] In a first aspect, an embodiment of the present application provides an image reconstruction method, the method comprising:

[0007] Acquire T1-weighted images of multiple channels of the target site and reference images of multiple channels of the target site;

[0008] According to each channel image of the T1-weighted image and the corresponding channel image in the reference image, background phase information in each channel is suppressed to obtain a candidate real part image of each channel;

[0009] Suppressing the background phase information in each channel image of the reference image to obtain a reference real part image of each channel;

[0010] A reconstructed image of the target part is determined according to each candidate real part image and each reference real part image.

[0011] In one embodiment, suppressing background phase information in each channel according to each channel image of the T1-weighted image and the corresponding channel image in the reference image to obtain a candidate real image of each channel includes:

[0012] Obtain each channel image of the T1-weighted image and the corresponding channel image in the reference image;

[0013] The candidate real part image of each channel is obtained by conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image.

[0014] In one embodiment, the above-mentioned suppressing background phase information in each channel image of the reference image to obtain the reference real part image of each channel includes:

[0015] The reference real image of each channel is obtained by conjugate multiplying each channel image in the reference image by itself.

[0016] In one embodiment, the step of determining the reconstructed image of the target part according to each candidate real part image and each reference real part image includes:

[0017] Merge the candidate real part images of each channel to obtain a candidate complete image of the target part;

[0018] The reference real part images of each channel are merged to obtain a reference complete image of the target part;

[0019] A reconstructed image of the target part is determined according to the candidate complete image and the reference complete image.

[0020] In one embodiment, the step of determining the reconstructed image of the target part according to the candidate complete image and the reference complete image includes:

[0021] Get the RMS value of the reference complete image;

[0022] The reconstructed image of the target part is determined according to the ratio between the root mean square of the candidate complete image and the reference complete image.

[0023] In one embodiment, the background phase information includes a phase difference caused by a coil difference when acquiring a T1-weighted image and a reference image.

[0024] In one embodiment, the target part is a heart, and acquiring T1-weighted images of multiple channels of the target part and reference images of multiple channels of the target part comprises:

[0025] Using a phase-sensitive inversion recovery sequence, T1-weighted images of multiple channels of the heart and reference images of multiple channels are acquired.

[0026] In a second aspect, an embodiment of the present application provides an image reconstruction device, the device comprising:

[0027] An acquisition module, used for acquiring T1-weighted images of multiple channels of the target part and reference images of multiple channels of the target part;

[0028] A first suppression module is used to suppress background phase information in each channel according to each channel image of the T1-weighted image and a corresponding channel image in the reference image, so as to obtain a candidate real part image of each channel;

[0029] A second suppression module is used to suppress background phase information in each channel image of the reference image to obtain a reference real part image of each channel;

[0030] The determination module is used to determine the reconstructed image of the target part according to each candidate real part image and each reference real part image.

[0031] In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods provided in the embodiment of the first aspect are implemented.

[0032] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any one of the methods provided in the embodiment of the first aspect above are implemented.

[0033] The embodiment of the present application provides an image reconstruction method, device, computer equipment and storage medium, which obtains T1-weighted images of multiple channels of the target part and reference images of multiple channels of the target part, and suppresses the background phase information in each channel according to the channel image of each channel of the T1-weighted image and the corresponding channel image in the reference image, obtains the candidate real image of each channel, and suppresses the background phase information in each channel image of the reference image to obtain the reference real image of each channel, and then determines the reconstructed image of the target part according to each candidate real image and each reference real image. In this method, each candidate real image and each reference real image are determined as a single channel unit, and image processing is performed in the same channel. There is no need to calculate the channel merging matrix, and there is no need to ensure the consistency between different channels through filtering processing, variance taking and other operations. The overall process is simple, thereby improving the efficiency of image reconstruction. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 An application environment diagram of an image reconstruction method provided by an embodiment;

[0035] Figure 1a A comparison diagram of lost symbol information and retained symbol information provided by an embodiment;

[0036] Figure 1b A commonly used phase-sensitive inversion recovery sequence is provided in one embodiment;

[0037] Figure 1c A reconstruction flow chart of a conventional phase-sensitive inversion reconstruction method provided by an embodiment;

[0038] Figure 1d A schematic diagram of a special process of a conventional reconstruction process provided by an embodiment;

[0039] Figure 2 A schematic flow chart of an image reconstruction method provided by an embodiment;

[0040] Figure 3 A schematic flow chart of an image reconstruction method provided by another embodiment;

[0041] Figure 4 A schematic flow chart of an image reconstruction method provided by another embodiment;

[0042] Figure 5 A schematic flow chart of an image reconstruction method provided by another embodiment;

[0043] Figure 6 A comparison diagram of the results of myocardial reconstruction using different reconstruction methods provided by an embodiment;

[0044] Figure 7 A schematic flow chart of an image reconstruction method provided by an embodiment;

[0045] Figure 8 A structural block diagram of an image reconstruction device provided by an embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with 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.

[0047] The image reconstruction method provided in this application can be applied to Figure 1In the application environment shown, in the application environment, 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for image reconstruction related data. The network interface of the computer device is used to communicate with other external devices through a network connection. When the computer program is executed by the processor, an image reconstruction method is implemented.

[0048] Phase-sensitive imaging technology retains the sign information in the image, while the existing modulus image reconstruction method loses the sign information. Therefore, phase-sensitive imaging technology can make the inversion recovery sequence maintain consistent contrast between myocardial infarction tissue and normal tissue regardless of TI during the recovery process; Figure 1a As shown, it is a comparison diagram of losing symbol information and retaining symbol information, where: Figure 1a (a) is a schematic diagram of the module value reconstruction method, which loses the symbol information. Figure 1a (b) is a schematic diagram of the phase-sensitive inversion recovery (PSIR) reconstruction method, which retains the symbol information; Figure 1a It can be seen from the image in the lower right corner that at the same TI time, the contrast effect of the image obtained in (a) is not as good as the contrast effect of the image obtained in (b).

[0049] Although phase-sensitive recovery sequence reconstruction can obtain relatively good contrast, in practice, it is not possible to directly take the real part and retain the sign for reconstruction, because the collected image will be affected by eddy currents, gradient delays and other system imperfections that cause erroneous background phase information. If the real part is directly taken to reconstruct the image, incorrect contrast will be produced. Figure 1b The figure shows a commonly used phase-sensitive inversion recovery sequence, where the top row shows the ECG signal, the second row shows the R wave trigger point, the third column shows the 180° inversion recovery sequence pulse, the fourth column shows the signal relaxation process, and the fifth column shows the image acquisition schematic diagram. Figure 1b As can be seen in the dotted box in , the imaging image and the reference image are acquired alternately. Figure 1c The figure shows the reconstruction flow chart of the conventional reconstruction method of the existing phase sensitive inversion. Figure 1c It can be seen that the conventional reconstruction method is to use the same channel merging weight to merge channels, and then calculate the phase of the reference image, suppress the background phase and obtain the real image. In addition, in the process of reconstruction. Figure 1c Some special processing has also been done on the reference images in , see Figure 1d As shown, special processing includes filtering variance, etc. Figure 1c and Figure 1 It can be determined from the content that the conventional reconstruction method of the existing bit-sensitive inversion is very complicated, resulting in low image reconstruction efficiency. Based on this, the embodiment of the present application provides an image reconstruction method, device, computer equipment and storage medium, which can improve the image reconstruction efficiency.

[0050] The following will explain in detail the technical solution of the present application and how the technical solution of the present application solves the above technical problems through embodiments and in combination with the accompanying drawings. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. It should be noted that the present application provides an image reconstruction method, Figure 2-Figure 7 The execution subject is a computer device, wherein the execution subject may also be an image reconstruction device, wherein the device may be implemented as part or all of the computer device through software, hardware, or a combination of software and hardware.

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0052] In one embodiment, Figure 2 An image reconstruction method is provided. This embodiment relates to a specific process in which a computer device suppresses background phase information in each channel based on T1-weighted images and reference images acquired by multiple (coil) channels of a target part, obtains candidate real part images of each channel, and then determines a reconstructed image of the target part based on each candidate real part image and each reference real part image, such as Figure 2 As shown, this embodiment includes the following steps:

[0053] S101, acquiring T1-weighted images of multiple channels of a target part and reference images of multiple channels of the target part.

[0054] Among them, T1-weighted imaging (T1WI) refers to an image obtained by an imaging method that focuses on the difference in longitudinal relaxation of tissues and minimizes the impact of other tissue characteristics such as transverse relaxation on the image. Among them, relaxation refers to the process of recovering from a certain state to an equilibrium state. Among them, the reference image refers to the reference image in the reconstruction process of T1-weighted images, such as a proton density image, which should at least be a single-layer image with full center sampling. The acquisition of reference images corresponding to different layers is carried out independently, and the acquisition mode of T1-weighted images is also multi-layer simultaneous acquisition.

[0055] The target part refers to the part that currently needs to be reconstructed, such as the heart, head, etc. Optionally, if the target part is the heart, a phase-sensitive inversion recovery sequence can be used to acquire T1-weighted images of multiple channels of the heart and reference images of multiple channels.

[0056] Generally, magnetic resonance imaging equipment generates or receives radio frequency signals through radio frequency coils to collect magnetic resonance images. The T1-weighted image of the target site is collected by multiple coils, and one coil corresponds to the image of one channel. For example, if 10 channels of T1-weighted images are required, 10 coils are used for collection. For example, a preset imaging sequence is used to collect multi-layer aliasing T1-weighted images of the heart. Among them, the preset imaging sequence refers to a pre-set pulse sequence for magnetic resonance data acquisition. Exemplarily, the preset imaging sequence includes a combination of one or more of a rapid destruction gradient echo sequence, a spin echo sequence, a gradient echo sequence, an inversion recovery sequence, or a balanced free steady-state precession sequence. Preferably, the preset imaging sequence is a phase-sensitive inversion recovery sequence. The phase-sensitive inversion recovery sequence can retain the sign information of the image, and the consistent contrast between myocardial infarction tissue and normal tissue can be maintained regardless of the TI.

[0057] The reference image can be obtained in a motion period when the T1-weighted image is not collected. When acquiring the reference image, the reference image is acquired using a preset imaging sequence excited by a preset flip angle, wherein the preset flip angle is the flip angle of the excitation pulse set when the pulse sequence is designed. When acquiring the reference image, the preset flip angle is set to a smaller angle, such as 5°, so as to achieve the purpose of ignoring the phase change introduced by the signal itself, thereby better estimating the phase change introduced by the system.

[0058] S102, suppressing background phase information in each channel according to each channel image of the T1-weighted image and the corresponding channel image in the reference image, to obtain a candidate real part image of each channel.

[0059] After acquiring T1-weighted images of multiple channels of the target part and reference images of multiple channels of the target part, the computer device suppresses or even removes the background phase information of each channel according to the T1-weighted image of the channel and the reference image of the corresponding channel. For example, there are 10 channels: N1, N2, N3, ..., N10, then the background phase information of the N1 channel is suppressed according to the T1-weighted image of the N1 channel and the T1 reference image of the N1 channel, and the image obtained after suppressing the background phase information of the N1 channel is the candidate real image of the N1 channel; after suppressing the background phase information of the 10 channels in turn, the candidate real images of the 10 channels are obtained.

[0060] Optionally, the background phase information refers to a phase difference caused by a coil difference when acquiring a T1-weighted image and a reference image, for example, a phase difference caused by a local magnetic field inhomogeneity, or a phase difference introduced by noise or delay of an electrical device. The suppressed background phase information of each channel includes at least a phase difference caused by a coil difference when acquiring a T1-weighted image and a reference image, and may also include background phase information caused by other reasons in practical applications, which is not limited in this embodiment.

[0061] For example, the background phase information can be suppressed by conjugating and multiplying the T1-weighted image of each channel with the reference image. Since the T1-weighted image and the reference image are obtained by using the same coil, the phases of the same coil are the same, and the background phase information of the channel can be suppressed by conjugated phase difference operation. Of course, in actual applications, other methods can be used to suppress or even suppress the background phase information, and this embodiment does not limit this.

[0062] S103, suppressing background phase information in each channel image of the reference image to obtain a reference real part image of each channel.

[0063] The above steps suppress the background phase information of the channel by using the T1-weighted image and the reference image of the same channel to obtain the candidate real image of the channel. In this step, only the reference image is used to suppress the background phase information in each channel of the reference image to obtain the reference real image of each channel.

[0064] For example, background phase information in each channel image of the reference image may be suppressed by performing conjugate multiplication on each channel image of the reference image.

[0065] S104: Determine a reconstructed image of the target part according to each candidate real part image and each reference real part image.

[0066] After obtaining the candidate real part images of each channel and the reference real part images of each channel, a reconstructed image of the target part is determined according to the candidate real part images of each channel and the reference real part images of each channel.

[0067] The image reconstruction method provided in this embodiment obtains T1-weighted images of multiple channels of the target part and reference images of multiple channels of the target part, and suppresses the background phase information in each channel according to the channel images of each channel of the T1-weighted image and the corresponding channel images in the reference image to obtain candidate real images of each channel, and suppresses the background phase information in each channel image of the reference image to obtain reference real images of each channel, and then determines the reconstructed image of the target part according to each candidate real image and each reference real image. In this method, each candidate real image and each reference real image are determined as a single channel unit, and image processing is performed in the same channel, without calculating the channel merging matrix, and without ensuring the consistency between different channels through filtering processing, taking variance and other operations, and the overall process is simple, thereby improving the efficiency of image reconstruction.

[0068] On the basis of the above embodiments, the embodiments of the present application further provide an image reconstruction method, which involves a specific process in which a computer device suppresses background phase information in each channel according to each channel image of a T1-weighted image and a corresponding channel image in a reference image to obtain a candidate real image of each channel, such as Figure 3 As shown, the above step S102 includes:

[0069] S201, obtaining each channel image of the T1-weighted image and the corresponding channel image in the reference image.

[0070] After acquiring T1-weighted images of multiple channels and reference images of multiple channels of the target part, the T1-weighted images and reference images of the same channel are determined. For example, if there are 10 channels, the T1-weighted images and reference images corresponding to the 10 channels are determined.

[0071] S202 , conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image to suppress background phase information of each channel, thereby obtaining a candidate real image of each channel.

[0072] The T1-weighted image and reference image corresponding to each channel are determined, and the T1-weighted image and the reference image of each channel are conjugate multiplied, so that the background phase information of each channel is suppressed by the angle subtraction, and the candidate real image of each channel is obtained. For example, there are 10 channels: N1, N2, N3, ..., N10, the T1-weighted image is represented by T, and the reference image is represented by R, then the T of the N1 channel and the R of the N1 channel are conjugate multiplied, and the image of the N1 channel obtained is the candidate real image of the N1 channel; similarly, according to this method, the candidate real image of each channel can be obtained.

[0073] Similarly, in one embodiment, the above S103 suppresses the background phase information in each channel image of the reference image to obtain the reference real image of each channel, including: suppressing the background phase information in each channel image of the reference image by conjugate multiplying each channel image in the reference image itself to obtain the reference real image of each channel.

[0074] For example, there are 10 channels: N1, N2, N3, ..., N10, and the reference image is represented by R. Then the conjugate multiplication of R of the N1 channel itself is the conjugate multiplication of R of the N1 channel and R of the N1 channel. The result is the reference real image of the N1 channel. In this way, the reference real image of each channel is obtained.

[0075] In this embodiment, the candidate real image of each channel is obtained by conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image to suppress the background phase information of each channel; the reference real image of each channel is obtained by conjugate multiplying each channel image in the reference image to suppress the background phase information in each channel image of the reference image. In this method, the same channel is used as a unit, and the background phase information of each channel is suppressed by conjugate multiplication, which is more convenient and accurate.

[0076] like Figure 4 As shown, in one embodiment, an implementation method of determining the reconstructed image of the target part in the above step S104 includes the following steps:

[0077] S301, merging the candidate real part images of each channel to obtain a candidate complete image of the target part.

[0078] This embodiment is based on the candidate real part images of each channel and the reference real part images of each channel obtained above. Therefore, the candidate real part images of each channel are merged to obtain the candidate complete image of the target part. Optionally, the pixel values ​​at the same position of the candidate real part images of each channel are averaged, and then the image composed of the pixel means at each pixel position is determined as the candidate complete image of the target part. It can also be a linear cumulative summation of the pixel values ​​at the same position of the candidate real part images of each channel, and the image composed of the sum of each pixel value is determined as the candidate complete image of the target part.

[0079] S302, merging the reference real part images of each channel to obtain a reference complete image of the target part.

[0080] Similarly, the reference real part images of each channel are combined to obtain a reference complete image of the target part; optionally, the pixel values ​​at the same position of the reference real part images of each channel are averaged, and then the image composed of the pixel averages at each pixel position is determined as the reference complete image of the target part. Alternatively, the pixel values ​​at the same position of the reference real part images of each channel are summed, and the image composed of the sum of the pixel values ​​is determined as the reference complete image of the target part.

[0081] For example, the candidate real part images of each channel are obtained as T all 1. T all 2. T all 3. ..., T all 10; The reference real image of each channel is R all 1. R all 2. R all 3. ..., R all 10; Then, T all 1 to T all After averaging or summing the pixels at the same position in 10, the resulting image is the candidate complete image, R all 1 to R all After averaging or summing the pixels at the same position in 10, the resulting image is the reference complete image.

[0082] S303: Determine a reconstructed image of the target part according to the candidate complete image and the reference complete image.

[0083] After the candidate complete image and the reference complete image are obtained, a reconstructed image of the target part is determined according to the candidate complete image and the reference complete image.

[0084] Alternatively, if Figure 5 As shown, an embodiment of determining a reconstructed image of a target part includes the following steps:

[0085] S401, obtaining the root mean square of the reference complete image.

[0086] When determining the reconstructed image of the target part, the root mean square of the reference complete image is obtained. For example, after performing a root mean square calculation on each pixel in the reference complete image, the root mean square of the reference complete image is obtained.

[0087] S402 : Determine a reconstructed image of the target part according to a ratio between a root mean square of the candidate complete image and a reference complete image.

[0088] The ratio between the root mean square of the candidate complete image and the reference complete image is used to determine the reconstructed image of the target part, that is, the ratio operation is performed on each pixel, and the image composed of each ratio is obtained as the reconstructed image of the target part.

[0089] In this embodiment, the candidate real images of each channel are merged to obtain a candidate complete image of the target part, and the reference real images of each channel are merged to obtain a reference complete image of the target part. Then, the reconstructed image of the target part is determined based on the candidate complete image and the reference complete image. Since the candidate real images and the reference real images are obtained by eliminating the background phase information in a single channel unit, and there is no need to perform channel merging, filtering, variance calculation and other operations between single channels, the consistency between different channels is guaranteed, which not only improves the image reconstruction efficiency, but also improves the image reconstruction quality.

[0090] For example, Figure 6 As shown, it is a comparison diagram of the results of reconstructing the myocardial image using the traditional image and reconstructing the myocardium using the image reconstruction method provided by the present application, wherein the left figure is the reconstruction result of the image reconstruction method of the present application, and the right figure is the reconstruction result of the reconstruction method in the traditional technology; Figure 6 From the data, it can be seen that when the average values ​​on both sides of the myocardium are 10.17, the cavity noise on the left is 1.576, while the cavity noise on the right is 1.849. According to the formula 1-(10.17 / 1.849) / (10.17 / 1.576), it can be determined that the signal-to-noise ratio on the left side is improved by about 14.76% compared with the right side. Therefore, the image reconstruction method proposed in this application has a simpler reconstruction process, faster speed, increased SNR, and obvious background noise suppression. While improving the image reconstruction efficiency, the image reconstruction quality is also improved.

[0091] In one embodiment, Figure 7 As shown, an embodiment of an image reconstruction method is provided, the embodiment comprising:

[0092] S1, obtain T1-weighted images of multiple channels of the target area;

[0093] S2, obtaining reference images of multiple channels of the target area;

[0094] S3, conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image, suppressing the background phase information of each channel, and obtaining a candidate real image of each channel;

[0095] S4, performing conjugate multiplication on each channel image in the reference image, suppressing background phase information in each channel image of the reference image, and obtaining a reference real part image of each channel;

[0096] S5, merging the candidate real part images of each channel to obtain a candidate complete image of the target part;

[0097] S6, merging the reference real part images of each channel to obtain a reference complete image of the target part;

[0098] S7, determining a reconstructed image of the target part according to a ratio between the root mean square of the candidate complete image and the reference complete image.

[0099] The implementation principles and technical effects of each step in the image reconstruction method provided in this embodiment are similar to those in the previous embodiments of the image reconstruction method, and will not be repeated here. Figure 7 The implementation of each step in the embodiment is only an example, and the implementation is not limited. The order of each step can be adjusted in actual application, as long as the purpose of each step can be achieved. It can be understood that the image reconstruction method provided by the present application can be applied not only to delayed enhanced images of the heart, but also to enhanced images of other parts. In actual application, there is no limitation on the images of the parts.

[0100] It should be understood that although Figure 2-7 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-7 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0101] In one embodiment, Figure 8 As shown, an image reconstruction device is provided, comprising: an acquisition module 10, a first suppression module 11, a second suppression module 12 and a determination module 13, wherein:

[0102] An acquisition module 10, used to acquire T1-weighted images of multiple channels of the target part and reference images of multiple channels of the target part;

[0103] A first suppression module 11 is used to suppress background phase information in each channel according to each channel image of the T1-weighted image and the corresponding channel image in the reference image, so as to obtain a candidate real part image of each channel;

[0104] A second suppression module 12 is used to suppress background phase information in each channel image of the reference image to obtain a reference real part image of each channel;

[0105] The determination module 13 is used to determine the reconstructed image of the target part according to each candidate real part image and each reference real part image.

[0106] In one embodiment, the first suppression module 11 includes:

[0107] An acquisition unit, used for acquiring each channel image of the T1-weighted image and a corresponding channel image in the reference image;

[0108] The suppression unit is used to suppress the background phase information of each channel by conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image, so as to obtain a candidate real part image of each channel.

[0109] In one embodiment, the second suppression module 12 is specifically used to suppress background phase information in each channel image of the reference image by performing conjugate multiplication on each channel image in the reference image, so as to obtain a reference real part image of each channel.

[0110] In one embodiment, the determination module 13 includes:

[0111] A first merging unit is used to merge the candidate real part images of each channel to obtain a candidate complete image of the target part;

[0112] A second merging unit is used to merge the reference real part images of each channel to obtain a reference complete image of the target part;

[0113] The determination unit is used to determine a reconstructed image of the target part according to the candidate complete image and the reference complete image.

[0114] In one embodiment, the determining unit includes:

[0115] An acquisition subunit, used for acquiring a root mean square of a reference complete image;

[0116] The determination subunit is used to determine the reconstructed image of the target part according to the ratio between the root mean square of the candidate complete image and the reference complete image.

[0117] In one embodiment, the background phase information includes a phase difference caused by a coil difference when acquiring a T1-weighted image and a reference image.

[0118] In one embodiment, the target site is a heart, and the acquisition module 10 is specifically used to acquire T1-weighted images of multiple channels and reference images of multiple channels of the heart through a phase-sensitive inversion recovery sequence.

[0119] For the specific definition of the image reconstruction device, please refer to the definition of the image reconstruction method above, which will not be repeated here. Each module in the above-mentioned image reconstruction device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0120] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as described above. Figure 1 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. 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. When the computer program is executed by the processor, an image reconstruction method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0121] Those skilled in the art will appreciate that the above Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0122] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0123] Acquire T1-weighted images of multiple channels of the target site and reference images of multiple channels of the target site;

[0124] According to each channel image of the T1-weighted image and the corresponding channel image in the reference image, background phase information in each channel is suppressed to obtain a candidate real part image of each channel;

[0125] Suppressing the background phase information in each channel image of the reference image to obtain a reference real part image of each channel;

[0126] A reconstructed image of the target part is determined according to each candidate real part image and each reference real part image.

[0127] In one embodiment, the processor implements the following steps when executing the computer program:

[0128] Obtain each channel image of the T1-weighted image and the corresponding channel image in the reference image;

[0129] The candidate real part image of each channel is obtained by conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image.

[0130] In one embodiment, the processor implements the following steps when executing the computer program:

[0131] The reference real image of each channel is obtained by conjugate multiplying each channel image in the reference image by itself.

[0132] In one embodiment, the processor implements the following steps when executing the computer program:

[0133] Merge the candidate real part images of each channel to obtain a candidate complete image of the target part;

[0134] The reference real part images of each channel are merged to obtain a reference complete image of the target part;

[0135] A reconstructed image of the target part is determined according to the candidate complete image and the reference complete image.

[0136] In one embodiment, the processor implements the following steps when executing the computer program:

[0137] Get the RMS value of the reference complete image;

[0138] The reconstructed image of the target part is determined according to the ratio between the root mean square of the candidate complete image and the reference complete image.

[0139] In one embodiment, the background phase information includes a phase difference caused by a coil difference when acquiring a T1-weighted image and a reference image.

[0140] In one embodiment, the processor implements the following steps when executing the computer program:

[0141] Using a phase-sensitive inversion recovery sequence, T1-weighted images of multiple channels of the heart and reference images of multiple channels are acquired.

[0142] The above embodiment provides a computer device, whose implementation principle and technical effect are similar to those of the above method embodiment, and will not be repeated here.

[0143] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0144] Acquire T1-weighted images of multiple channels of the target site and reference images of multiple channels of the target site;

[0145] According to each channel image of the T1-weighted image and the corresponding channel image in the reference image, background phase information in each channel is suppressed to obtain a candidate real part image of each channel;

[0146] Suppressing the background phase information in each channel image of the reference image to obtain a reference real part image of each channel;

[0147] A reconstructed image of the target part is determined according to each candidate real part image and each reference real part image.

[0148] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0149] Obtain each channel image of the T1-weighted image and the corresponding channel image in the reference image;

[0150] The candidate real part image of each channel is obtained by conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image.

[0151] In one embodiment, when the computer program is executed by a processor, the following steps are implemented: a reference real image of each channel is obtained by conjugate multiplying each channel image in the reference image by itself.

[0152] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0153] Merge the candidate real part images of each channel to obtain a candidate complete image of the target part;

[0154] The reference real part images of each channel are merged to obtain a reference complete image of the target part;

[0155] A reconstructed image of the target part is determined according to the candidate complete image and the reference complete image.

[0156] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0157] Get the RMS value of the reference complete image;

[0158] The reconstructed image of the target part is determined according to the ratio between the root mean square of the candidate complete image and the reference complete image.

[0159] In one embodiment, the background phase information includes a phase difference caused by a coil difference when acquiring a T1-weighted image and a reference image.

[0160] In one embodiment, when the computer program is executed by a processor, the following steps are implemented: acquiring T1-weighted images of multiple channels of the heart and reference images of multiple channels by a phase-sensitive inversion recovery sequence.

[0161] The above embodiment provides a computer-readable storage medium, whose implementation principle and technical effect are similar to those of the above method embodiment, and will not be repeated here.

[0162] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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 embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0163] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0164] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. An image reconstruction method, characterized in that: The method comprises: Acquire T1-weighted images of multiple channels of the target site and reference images of multiple channels of the target site; According to each channel image of the T1-weighted image and the corresponding channel image in the reference image, background phase information in each channel is suppressed to obtain a candidate real part image of each channel; Suppressing background phase information in each channel image of the reference image to obtain a reference real part image of each channel; Merging the candidate real part images of the channels to obtain a candidate complete image of the target part; Merging the reference real part images of the channels to obtain a reference complete image of the target part; Obtaining a root mean square of the reference complete image; A reconstructed image of the target part is determined according to a ratio between the root mean square of the candidate complete image and the reference complete image.

2. The method according to claim 1, characterized in that The step of suppressing background phase information in each channel according to each channel image of the T1-weighted image and the corresponding channel image in the reference image to obtain a candidate real image of each channel includes: Acquire each channel image of the T1-weighted image and the corresponding channel image in the reference image; The candidate real part image of each channel is obtained by conjugate multiplying each channel image of the T1-weighted image with the corresponding channel image in the reference image.

3. The method according to claim 1 or 2, characterized in that: The step of suppressing background phase information in each channel image of the reference image to obtain a reference real part image of each channel includes: The reference real part image of each channel is obtained by conjugate multiplying each channel image in the reference image.

4. The method according to claim 1 or 2, characterized in that: The background phase information includes a phase difference caused by a coil difference when acquiring the T1-weighted image and the reference image.

5. The method according to claim 1 or 2, characterized in that: The target part is a heart, and the acquiring of T1-weighted images of multiple channels of the target part and reference images of multiple channels of the target part comprises: Using a phase-sensitive inversion recovery sequence, T1-weighted images of multiple channels and reference images of multiple channels of the heart are acquired.

6. An image reconstruction device, characterized in that: The device comprises: An acquisition module, used for acquiring T1-weighted images of multiple channels of a target part and reference images of multiple channels of the target part; A first suppression module, configured to suppress background phase information in each channel according to each channel image of the T1-weighted image and a corresponding channel image in the reference image, so as to obtain a candidate real part image of each channel; A second suppression module is used to suppress background phase information in each channel image of the reference image to obtain a reference real part image of each channel; A determination module is used to merge the candidate real images of the channels to obtain a candidate complete image of the target part; merge the reference real images of the channels to obtain a reference complete image of the target part; obtain the root mean square of the reference complete image; and determine the reconstructed image of the target part according to the ratio between the root mean square of the candidate complete image and the reference complete image.

7. A computer device comprising a memory and a processor, wherein the memory stores 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 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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