Image correction method and device of magnetic resonance system and computer equipment

Abstract

The invention relates to an image correction method and device of a magnetic resonance system and computer equipment. The magnetic resonance system is configured with a first scanning sequence and a second scanning sequence, and the method comprises the following steps: scanning a target area according to the first scanning sequence to obtain a magnetic resonance T2 quantitative image to be corrected; obtaining magnetic resonance echo interval information and an inter-echo dispersion sensitivity coefficient according to the first scanning sequence; scanning the target area according to the second scanning sequence to obtain a tissue apparent dispersion coefficient; and correcting the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo interval information, the dispersion sensitivity coefficient between the echoes and the tissue apparent dispersion coefficient to obtain a corrected magnetic resonance T2 quantitative image. By adopting the method, the influence of dispersion during T2 quantitative imaging of the multi-echo spin echo sequence can be corrected, and the T2 quantitative accuracy is improved.

Description

Technical Field

[0001] The present application relates to the field of image processing technologies, and particularly to an image correction method, apparatus, computer device, storage medium, and computer program product. Background Art

[0002] With the development of computer technology, magnetic resonance technology has emerged. This technology utilizes the principle of nuclear magnetic resonance (NMR), and based on the different attenuations of the released energy in different structural environments within a substance, by applying an external gradient magnetic field to detect the emitted electromagnetic waves, the positions and types of the atomic nuclei constituting this object can be known, and based on this, an internal structural image of the object can be drawn.

[0003] The longitudinal relaxation time constant (Longitudinal Relaxation Time, T1) and the transverse relaxation time constant (Transverse Relaxation Time, T2) are two of the most important tissue-intrinsic properties in magnetic resonance technology. In traditional technologies, one of the most classic methods for quantitative imaging of the magnetic resonance transverse relaxation time constant is the multi-echo spin echo (Multi-Echo Spin Echo, ME_SE) method. The ME_SE method has a short scanning time, but this method uses a large number of gradients, resulting in the T2 quantitative result being affected by diffusion, and the T2 quantitative accuracy of ME_SE has been questioned. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide an image correction method, apparatus, computer device, computer-readable storage medium, and computer program product for a magnetic resonance system that can correct the influence of diffusion during T2 quantitative imaging of a multi-echo spin echo sequence and improve the accuracy of T2 quantification.

[0005] In a first aspect, the present application provides an image correction method for a magnetic resonance system. The magnetic resonance system is configured with a first scan sequence and a second scan sequence, and the method includes: scanning a target region according to the first scan sequence to obtain a magnetic resonance T2 quantitative image to be corrected; obtaining magnetic resonance echo interval information and the diffusion sensitivity coefficient between echoes according to the first scan sequence; scanning the target region according to the second scan sequence to obtain the apparent diffusion coefficient of the tissue; and correcting the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo interval information, the diffusion sensitivity coefficient between echoes, and the apparent diffusion coefficient of the tissue to obtain a corrected magnetic resonance T2 quantitative image.

[0006] Second aspect, the present application also provides an image correction device for a magnetic resonance system. The magnetic resonance system is configured with a first scan sequence and a second scan sequence, and the device includes: an image acquisition module for scanning a target area according to the first scan sequence to obtain a to-be-corrected magnetic resonance T2 quantitative image; a first coefficient obtaining module for obtaining magnetic resonance echo spacing information and inter-echo diffusion sensitivity coefficients according to the first scan sequence; a second coefficient obtaining module for scanning the target area according to the second scan sequence to obtain a tissue apparent diffusion coefficient; an image correction module for correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the tissue apparent diffusion coefficient to obtain a corrected magnetic resonance T2 quantitative image.

[0007] Third aspect, the present application also provides a magnetic resonance imaging system, which is characterized by including a magnetic resonance device and a computer; the magnetic resonance device is used for scanning a target area according to the first scan sequence to obtain a to-be-corrected magnetic resonance T2 quantitative image; the magnetic resonance device is further used for obtaining magnetic resonance echo spacing information and inter-echo diffusion sensitivity coefficients according to the first scan sequence; the magnetic resonance device is further used for scanning the target area according to the second scan sequence to obtain a tissue apparent diffusion coefficient; the computer is used for correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the tissue apparent diffusion coefficient to obtain a corrected magnetic resonance T2 quantitative image.

[0008] Fourth aspect, the present application also provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: scanning a target area according to the first scan sequence to obtain a to-be-corrected magnetic resonance T2 quantitative image; obtaining magnetic resonance echo spacing information and inter-echo diffusion sensitivity coefficients according to the first scan sequence; scanning the target area according to the second scan sequence to obtain a tissue apparent diffusion coefficient; correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the tissue apparent diffusion coefficient to obtain a corrected magnetic resonance T2 quantitative image.

[0009] Fifth aspect, the present application also provides a computer-readable storage medium. On the computer-readable storage medium, there is a computer program stored, and when the computer program is executed by a processor, the following steps are implemented: scanning a target area according to the first scanning sequence to obtain a to-be-corrected magnetic resonance T2 quantitative image; obtaining magnetic resonance echo interval information and inter-echo diffusion sensitivity coefficients according to the first scanning sequence; scanning the target area according to the second scanning sequence to obtain an apparent diffusion coefficient of the tissue; correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo interval information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of the tissue to obtain a corrected magnetic resonance T2 quantitative image.

[0010] Sixth aspect, the present application also provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented: scanning a target area according to the first scanning sequence to obtain a to-be-corrected magnetic resonance T2 quantitative image; obtaining magnetic resonance echo interval information and inter-echo diffusion sensitivity coefficients according to the first scanning sequence; scanning the target area according to the second scanning sequence to obtain an apparent diffusion coefficient of the tissue; correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo interval information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of the tissue to obtain a corrected magnetic resonance T2 quantitative image.

[0011] For the above image correction method, device, computer device, storage medium, and computer program product of a magnetic resonance system, by scanning a target area according to the first scanning sequence to obtain a to-be-corrected magnetic resonance T2 quantitative image; obtaining magnetic resonance echo interval information and inter-echo diffusion sensitivity coefficients according to the first scanning sequence; scanning the target area according to the second scanning sequence to obtain an apparent diffusion coefficient of the tissue; correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo interval information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of the tissue to obtain a corrected magnetic resonance T2 quantitative image.

[0012] Determining the echo interval and the inter-echo diffusion sensitivity coefficients through the first scanning sequence, and determining the apparent diffusion coefficient of the tissue through the second scanning sequence, and further post-processing and correcting the result of the to-be-corrected magnetic resonance T2 quantitative image of ME_SE using the above relevant parameters to obtain a corrected magnetic resonance T2 quantitative image. It can effectively eliminate the error caused by diffusion in the process of quantitative determination of the transverse relaxation time constant by the magnetic resonance system, can correct the influence of diffusion in T2 quantitative imaging using a multi-echo spin-echo sequence, and improve the accuracy of T2 quantification. Description of the Drawings

[0013] Figure 1An application environment diagram of an image correction method for a magnetic resonance system in an embodiment;

[0014] Figure 2 A schematic flowchart of an image correction method for a magnetic resonance system in an embodiment;

[0015] Figure 3 A schematic flowchart of a method for obtaining a corrected magnetic resonance T2 quantitative image in an embodiment;

[0016] Figure 4 A schematic flowchart of a method for obtaining second adjusted magnetic resonance data in an embodiment;

[0017] Figure 5 A schematic flowchart of a method for determining magnetic resonance echo spacing information in an embodiment;

[0018] Figure 6 A schematic flowchart of a method for obtaining an inter-echo diffusion sensitivity coefficient in an embodiment;

[0019] Figure 7 A schematic flowchart of a method for obtaining an apparent diffusion coefficient of tissue in an embodiment;

[0020] Figure 8 A structural block diagram of an image correction device for a magnetic resonance system in an embodiment;

[0021] Figure 9 An internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0022] In order to make the objectives, technical solutions and advantages of the present application clearer, 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.

[0023] An image correction method for a magnetic resonance system provided by an embodiment of the present application can be applied to, for example Figure 1In the application environment shown. Among them, the magnetic resonance device 102 is configured with a first scan sequence and a second scan sequence, and the magnetic resonance device 102 communicates with the server 104 through a network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or can be placed in the cloud or on other network servers. The magnetic resonance device 102 scans the target area according to the first scan sequence to obtain an uncorrected magnetic resonance T2 quantitative image; according to the first scan sequence, the magnetic resonance echo spacing information and the inter-echo diffusion sensitivity coefficient are obtained; the magnetic resonance device 102 scans the target area according to the second scan sequence to obtain the tissue apparent diffusion coefficient; according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficient, and the tissue apparent diffusion coefficient, the uncorrected magnetic resonance T2 quantitative image is corrected to obtain a corrected magnetic resonance T2 quantitative image. Among them, the magnetic resonance device 102 can be, but is not limited to, various Internet of Things devices, etc. The server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0024] In one embodiment, as Figure 2 shown, a method for correcting an image of a magnetic resonance system is provided. The magnetic resonance system is configured with a first scan sequence and a second scan sequence. Taking the server in Figure 1 as an example for illustration, the method includes the following steps:

[0025] Step 202, scan the target area according to the first scan sequence to obtain an uncorrected magnetic resonance T2 quantitative image.

[0026] Among them, the first scan sequence can be a scan sequence for generating a T2 quantitative image, and the first scan sequence is a multi-echo spin echo sequence, and the adjacent echoes of the multi-echo spin echo sequence have the same echo spacing.

[0027] Among them, the uncorrected magnetic resonance T2 quantitative image can be a magnetic resonance image obtained by scanning a target object through the first scan sequence, but has not been corrected.

[0028] Among them, the target area can be an area to be scanned, which can be a region of interest of the human body or an area of interest of an animal.

[0029] Specifically, first, data acquisition of the first scan sequence is performed on the target area through a magnetic resonance device to obtain the original image. The image is corrected by a known correction algorithm to correct potential imaging artifacts or distortions. Next, according to the characteristics of the magnetic resonance signal, T2 quantification is performed, fitting the relationship between the signal intensity and time to obtain the T2 relaxation time of the tissue. The whole process involves multiple steps such as data acquisition, image processing, correction, and quantification calculation. Finally, based on the T2 quantification calculation results, a magnetic resonance T2 quantitative image to be corrected is generated.

[0030] Step 204: Obtain the magnetic resonance echo spacing information and the inter-echo diffusion sensitivity coefficient according to the first scan sequence.

[0031] Among them, the magnetic resonance echo spacing information can be the spacing information between any two echoes in the magnetic resonance echo signal;

[0032] Among them, the inter-echo diffusion sensitivity coefficient can be the b value. As the b value increases, the diffusion weight of the magnetic resonance image increases, the contrast between the diseased tissue and the normal tissue increases, and the sensitivity to the diseased tissue is improved.

[0033] Specifically, first, data acquisition of the first scan sequence is performed on the target area through a magnetic resonance device to obtain the original echo signal. Subsequently, time-domain analysis is performed on these echo signals to obtain the magnetic resonance echo spacing information. By applying the distribution of the gradient between the echo signals, the inter-echo diffusion sensitivity coefficient is calculated. Finally, data containing the magnetic resonance echo spacing information and the inter-echo diffusion sensitivity coefficient is obtained, providing key information for subsequent analysis. The whole process covers multiple steps such as data acquisition, time-domain analysis, echo spacing information extraction, and diffusion sensitivity coefficient calculation to ensure accurate magnetic resonance information is obtained.

[0034] Step 206: Scan the target area according to the second scan sequence to obtain the apparent diffusion coefficient of the tissue.

[0035] Among them, the second scan sequence can be a magnetic resonance sequence with diffusion encoding gradients, which is a scan sequence for calculating the apparent diffusion coefficient of the tissue. Further, the first scan sequence and the second scan sequence have the same scan parameters, and the scan parameters include position, image size, and voxel size.

[0036] Among them, the apparent diffusion coefficient of the tissue can be the D value. The magnetic resonance signal has a negative exponential relationship with the apparent diffusion coefficient (D) of the tissue, that is, as the D value increases, the magnetic resonance signal decreases, and this coefficient reflects the characteristics of water molecule diffusion in the tissue.

[0037] Specifically, first, use a magnetic resonance device to collect data of a second scan sequence for the target area to obtain original images. Subsequently, perform necessary preprocessing on these original images to ensure image quality. Then, by applying a suitable tissue apparent diffusion coefficient calculation algorithm, analyze the diffusion process of water molecules in the images to obtain the tissue apparent diffusion coefficient to quantify the movement of water molecules within the tissue. Finally, generate an image with tissue apparent diffusion coefficient information to provide quantitative information about the tissue microstructure. The entire process includes multiple steps such as data collection, preprocessing, and tissue apparent diffusion coefficient calculation to ensure obtaining an image that accurately reflects the tissue microstructure.

[0038] Step 208: Correct the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficient, and the tissue apparent diffusion coefficient to obtain a corrected magnetic resonance T2 quantitative image.

[0039] Among them, the corrected magnetic resonance T2 quantitative image can be a T2 quantitative image obtained by eliminating the diffusion influence in the to-be-corrected magnetic resonance T2 quantitative image.

[0040] Specifically, before the step of obtaining the inter-echo diffusion sensitivity coefficient according to any two adjacent magnetic resonance echo information in the magnetic resonance scan sequence, the method further includes: determining a magnetic resonance image correction method according to the to-be-corrected magnetic resonance image; the magnetic resonance image correction method represents a model for correcting the diffusion influence in the to-be-corrected magnetic resonance image; determining magnetic resonance image correction parameters according to the magnetic resonance image correction method; the magnetic resonance image correction parameters include the undetermined inter-echo diffusion sensitivity coefficient and the undetermined tissue apparent diffusion coefficient.

[0041] Use a magnetic resonance device to obtain the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficient, and the tissue apparent diffusion coefficient of the target area. Combine this information and, through a corresponding correction model, correct the to-be-corrected magnetic resonance T2 quantitative image. Consider the influence of the tissue apparent diffusion coefficient and the inter-echo diffusion sensitivity coefficient to correct possible artifacts or distortions. Finally, obtain a corrected magnetic resonance T2 quantitative image to ensure that the image quality and accuracy are effectively maintained. The entire process involves multiple steps such as data integration, application of the correction algorithm, and parameter adjustment to ensure that the finally generated image can more accurately reflect the magnetic resonance characteristics of the target tissue. Among them, the expression of the correction algorithm is as follows:

[0042]

[0043] Among them, is the magnetic resonance echo spacing information (Echo Spacing, ES), that is, the central time interval between adjacent ADCs, that is, the magnetic resonance echo spacing information; is the magnetic resonance T2 quantitative image to be corrected; is the apparent diffusion coefficient of the tissue; is the diffusion sensitivity coefficient between echoes.

[0044] In the above image correction method of a magnetic resonance system, the target region is scanned according to the first scan sequence to obtain the magnetic resonance T2 quantitative image to be corrected; according to the first scan sequence, the magnetic resonance echo spacing information and the diffusion sensitivity coefficient between echoes are obtained; the target region is scanned according to the second scan sequence to obtain the apparent diffusion coefficient of the tissue; the magnetic resonance T2 quantitative image to be corrected is corrected according to the magnetic resonance echo spacing information, the diffusion sensitivity coefficient between echoes, and the apparent diffusion coefficient of the tissue to obtain the corrected magnetic resonance T2 quantitative image.

[0045] The echo spacing and the diffusion sensitivity coefficient between echoes are determined by the first scan sequence, and the apparent diffusion coefficient of the tissue is determined by the second scan sequence. Further, the above relevant parameters are used to post-process and correct the result of the magnetic resonance T2 quantitative image of ME_SE to obtain the corrected magnetic resonance T2 quantitative image. It can effectively eliminate the error caused by diffusion in the process of quantitative determination of the transverse relaxation time constant by the magnetic resonance system, and can correct the influence of diffusion in T2 quantitative imaging with a multi-echo spin-echo sequence, improving the accuracy of T2 quantification.

[0046] In one embodiment, as Figure 3 shown, correcting the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo spacing information, the diffusion sensitivity coefficient between echoes, and the apparent diffusion coefficient of the tissue to obtain the corrected magnetic resonance T2 quantitative image includes:

[0047] Step 302, adjusting the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo spacing information to obtain the first adjusted magnetic resonance data.

[0048] Among them, the first adjusted magnetic resonance data may be the corrected data obtained by correcting the magnetic resonance T2 quantitative image to be corrected using the magnetic resonance echo spacing information.

[0049] Specifically, the magnetic resonance echo spacing information of the target region is obtained from the magnetic resonance device, and the magnetic resonance echo spacing information is used to adjust the magnetic resonance T2 quantitative image to be corrected. This adjustment process may include adjusting the time axis of the image according to the magnetic resonance echo spacing information to ensure the signal alignment at each time point. This helps to correct the image errors caused by scanning parameter changes and motion. Finally, the first adjusted magnetic resonance data is obtained, providing a more accurate basis for subsequent correction and analysis. The whole process covers multiple steps such as data acquisition, application of echo spacing information, and time axis adjustment to ensure effective adjustment of the magnetic resonance T2 quantitative image to be corrected in the time dimension.

[0050] Step 304: Adjust the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficient, and the tissue apparent diffusion coefficient to obtain the second adjusted magnetic resonance data.

[0051] Among them, the second adjusted magnetic resonance data may be the corrected data obtained by correcting the magnetic resonance T2 quantitative image to be corrected using the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficient, and the tissue apparent diffusion coefficient.

[0052] Specifically, use the magnetic resonance device to obtain the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficient, and the tissue apparent diffusion coefficient of the target area. Combine this information and adjust the magnetic resonance T2 quantitative image to be corrected. This adjustment process may involve adjusting the time axis of the image according to the echo spacing information, while considering the influence of the inter-echo diffusion sensitivity coefficient and the tissue apparent diffusion coefficient. This helps to correct image errors caused by changes in scanning parameters, tissue characteristics, or diffusion. Finally, the second adjusted magnetic resonance data is obtained, providing a more accurate and reliable basis for subsequent correction and analysis. The entire process includes multiple steps such as data integration, application of adjustment algorithms, and comprehensive consideration of parameters to ensure that the magnetic resonance T2 quantitative image to be corrected is comprehensively and effectively adjusted in the time and space dimensions.

[0053] Step 306: Obtain the corrected magnetic resonance T2 quantitative image according to the first adjusted magnetic resonance data and the second adjusted magnetic resonance data.

[0054] Specifically, combine the first adjusted magnetic resonance data and the second adjusted magnetic resonance data, and through the corresponding integration algorithm, comprehensively consider the information of the two adjustments to obtain more accurate and comprehensive magnetic resonance data. This may include performing comparative calculations or other integration methods on the two sets of data to take advantage of each and reduce possible errors to ensure that the image quality and accuracy are optimized. Finally, the corrected magnetic resonance T2 quantitative image is obtained. This image combines the information of the first and second adjustments, providing a more reliable quantitative result for medical imaging. The entire process involves multiple steps such as data integration, application of correction algorithms, and comparative calculations to ensure that the finally generated image reflects the accurate magnetic resonance characteristics of the target tissue.

[0055] In this embodiment, by obtaining magnetic resonance echo interval information and adjusting the image, including adjusting the time axis, to ensure that the signals are aligned at each time point, which helps to correct image errors caused by different factors and provides more accurate basic data. Further, the image is adjusted by the inter-echo diffusion sensitivity coefficient and the apparent diffusion coefficient of the tissue, taking into account the errors caused by changes in scanning parameters, tissue characteristics, and diffusion. The whole process includes multiple steps to ensure a comprehensive and effective adjustment of the image in both the time and space dimensions. Finally, by integrating the information from the first and second adjustments and using corresponding algorithms, more accurate and comprehensive magnetic resonance data are obtained, providing reliable quantitative results. This series of steps involves data integration and the application of correction algorithms to correct the influence of diffusion in T2 quantitative imaging.

[0056] In one embodiment, as Figure 4 shown, according to the magnetic resonance echo interval information, the inter-echo diffusion sensitivity coefficient, and the apparent diffusion coefficient of the tissue, the magnetic resonance T2 quantitative image to be corrected is adjusted to obtain the second adjusted magnetic resonance data, including:

[0057] Step 402, according to the inter-echo diffusion sensitivity coefficient and the apparent diffusion coefficient of the tissue, adjust the magnetic resonance image to be corrected to obtain the intermediate adjusted magnetic resonance data.

[0058] Among them, the intermediate adjusted magnetic resonance data can be the magnetic resonance image to be corrected that has been corrected using the inter-echo diffusion sensitivity coefficient and the apparent diffusion coefficient of the tissue.

[0059] Specifically, in combination with the known inter-echo diffusion sensitivity coefficient and the apparent diffusion coefficient of the tissue, these magnetic resonance images are adjusted. This adjustment process considers the influence of diffusion sensitivity and the apparent diffusion coefficient of the tissue according to the distribution of the gradients between the echoes to reduce the possible distortions in the image. This helps to optimize the spatial resolution of the image and the sensitivity to the tissue microstructure. Finally, the intermediate adjusted magnetic resonance data are obtained, providing a more accurate basis for subsequent correction and analysis. The whole process includes multiple steps such as data acquisition, application of correction parameters, and image adjustment to ensure an effective optimization of the intermediate adjustment of the magnetic resonance image to be corrected in terms of structure and characteristics.

[0060] Step 404, according to the magnetic resonance echo interval information and the intermediate adjusted magnetic resonance data, obtain the second adjusted magnetic resonance data.

[0061] Specifically, by combining this echo interval information and the intermediate-adjusted magnetic resonance data, and through corresponding adjustment algorithms, the image is further optimized. This process may include adjusting the time axis of the image to ensure signal alignment at each time point, while comprehensively considering the echo interval information to reduce image errors caused by changes in scanning parameters. Finally, the second-adjusted magnetic resonance data is obtained, providing a more accurate and reliable basis for subsequent correction and analysis. The entire process includes multiple steps such as data integration, application of adjustment algorithms, and comprehensive consideration of parameters, ensuring that the magnetic resonance image to be corrected is comprehensively and effectively adjusted in the time dimension.

[0062] In this embodiment, according to the distribution of the gradients between echoes, considering the effects of diffusion sensitivity and tissue apparent diffusion coefficient, possible distortions are reduced, and the spatial resolution of the image and the sensitivity to tissue microstructure are optimized. This intermediate-adjusted magnetic resonance data provides a more accurate basis for subsequent processing. Then, by combining the echo interval information, the image is further optimized through corresponding adjustment algorithms, which may include adjusting the time axis to ensure signal alignment and considering errors caused by changes in scanning parameters and diffusion. Finally, the second-adjusted magnetic resonance data is obtained, providing a more precise and reliable basis for subsequent correction and analysis. The entire process involves multiple steps such as data integration, application of adjustment algorithms, and comprehensive consideration of parameters, ensuring that the magnetic resonance image to be corrected is comprehensively and effectively adjusted in both the time and space dimensions, thereby improving the quality and credibility of the image.

[0063] In one embodiment, as Figure 5 shown, according to the first scan sequence, magnetic resonance echo interval information is obtained, including:

[0064] Step 502, respectively determine the central time of the echo information of any two adjacent echoes in the first scan sequence.

[0065] Among them, the central time of the echo information can be the time of the axis of symmetry of any echo in the first scan sequence.

[0066] Specifically, it is necessary to calculate the axis of symmetry time of each echo. For each echo, mirror-symmetry its waveform, and then find the time point where the axis of symmetry is located, that is, the time of the axis of symmetry. This is the central time of their echo information. This process may need to be performed for all adjacent echoes in the first scan sequence to obtain a complete sequence of central times of echo information.

[0067] Step 504, according to the central times of each echo information, determine the magnetic resonance echo interval information.

[0068] Specifically, using the information center time of each echo, the time interval between adjacent echoes is calculated, that is, the magnetic resonance echo interval information. This involves calculating the difference between adjacent echoes for the center time of each echo. Through such difference calculations, a series of time interval information between magnetic resonance echoes can be obtained, which reflects the time characteristics of signal echoes in the system. The entire process includes multiple steps such as obtaining the information center time of echoes and calculating the time interval to ensure accurate acquisition of magnetic resonance echo interval information and provide key time parameters for subsequent analysis and processing.

[0069] In this embodiment, the process of obtaining the information center time of echoes is achieved by calculating the symmetry axis time of each echo in the magnetic resonance image. For each echo, by mirror-symmetrizing its waveform and finding the time point of the symmetry axis, the information center time of the echo is obtained, that is, the center of the time characteristics of the echo. This process is carried out for all adjacent echoes in the first scan sequence to obtain a complete sequence of information center times of echoes. Using these information center times, the difference between adjacent echoes is calculated to obtain the magnetic resonance echo interval information. This reflects the time characteristics of water molecule diffusion and signal echoes in the system and provides key time parameters for subsequent analysis and processing. The entire process covers multiple steps such as obtaining the information center time of echoes and calculating the time interval to ensure accurate acquisition of magnetic resonance echo interval information and provides a useful basis for further research.

[0070] In one embodiment, as Figure 6 shown, according to any two adjacent magnetic resonance echo information in the magnetic resonance scan sequence, the diffusion sensitivity coefficient between echoes is obtained, including:

[0071] Step 602, according to any two adjacent magnetic resonance echo information of the first scan sequence, determine the sequence gradient selection area space.

[0072] Among them, the sequence gradient selection area space can be the interval of any two adjacent magnetic resonance echo information, where gradients can be selected.

[0073] Specifically, any two adjacent echoes are selected from the magnetic resonance echo information of the first scan sequence. Through the time difference between these two adjacent echoes, the time span of the gradient selection area is calculated. This time span is the sequence gradient selection area space, which represents the interval during which the system can select gradients. The entire implementation process includes multiple steps such as echo information selection, time span calculation, and gradient selection area determination to ensure the accuracy and effectiveness of the sequence gradient selection area space.

[0074] Step 604, select a target gradient pair in the sequence gradient selection area space.

[0075] Among them, the target gradient pair can be two target gradients selected in the sequence gradient selection area space.

[0076] Specifically, according to the sequence gradient selection space, the selectable gradient range is determined. In this gradient selection space, two target gradients are selected, and the time difference between the two target gradients is Δ. The whole process includes multiple steps such as the determination of the gradient selection space, the selection of target gradients, and parameter adjustment to ensure that the selected gradient pair in magnetic resonance correction can effectively meet the correction target.

[0077] Step 606, obtain the inter-echo diffusion sensitivity coefficient according to the target gradient pair.

[0078] Specifically, determine the first gradient symmetry axis from the first target gradient and the second symmetry axis from the second target gradient; obtain the symmetry axis difference according to the first gradient symmetry axis and the second symmetry axis; select the target magnetic resonance gradient from the first magnetic resonance gradient and the second magnetic resonance gradient; determine the magnetic resonance gradient height information according to the upper and lower lines of the target magnetic resonance gradient; determine the magnetic resonance gradient duration according to the symmetry axis of the target magnetic resonance gradient; obtain the diffusion sensitivity coefficient according to the magnetic resonance gradient duration, the magnetic resonance gradient height information, and the symmetry axis difference. The whole process includes multiple steps such as data acquisition, echo information analysis, and gradient correlation calculation to ensure obtaining an accurate inter-echo diffusion sensitivity coefficient and providing important information for subsequent magnetic resonance correction.

[0079] In this embodiment, the time span of the gradient selection area is determined by calculating the time difference between adjacent echoes. The target gradient pair is selected according to the known gradient information. By considering the scanning requirements and the image optimization target, the best gradient pair is ensured to be selected during the correction process, improving the accuracy of magnetic resonance images. Through the time-domain analysis of the echo signal, an accurate inter-echo diffusion sensitivity coefficient is obtained, providing important information for magnetic resonance correction. The whole process involves steps such as data acquisition, gradient selection area, target gradient selection, and echo interval analysis to ensure the credibility of the correction parameters and the optimization of magnetic resonance images.

[0080] In one embodiment, the second scan sequence has a diffusion encoding gradient for calculating the apparent diffusion coefficient of tissues; the first scan sequence and the second scan sequence have the same position information, image scale information, and voxel scale information.

[0081] In one embodiment, as Figure 7 shown, scan the target area according to the second scan sequence to obtain the apparent diffusion coefficient of tissues, including:

[0082] Step 702, set the second scan sequence according to the position information, image scale information, and voxel scale information of the first scan sequence.

[0083] Among them, the position information, image scale information, and voxel scale information respectively represent the position, image size, and voxel size for imaging in the first scan sequence.

[0084] Specifically, using the position information of the first scan sequence, determine the position of the target region in the image space. Considering the image scale and voxel scale information, set the scan parameters of the second scan sequence, including the scan position, resolution, and voxel size. This may involve adjusting the scan position and parameters of the scanner to ensure that the second scan sequence can accurately align with and cover the structures of interest in the first scan sequence. The entire process includes multiple steps such as the application of position information, adjustment of scan parameters, and setting of image scale to ensure that the second scan sequence matches the first scan sequence in terms of position and scale, providing more comprehensive image information.

[0085] Step 704, based on the position information, image scale information, and voxel scale information, scan the target region according to the second scan sequence to obtain the apparent diffusion coefficient of the tissue.

[0086] Specifically, using the position information, image scale information, and voxel scale information, ensure that the second scan sequence is accurately aligned with the target region. Adjust the scan parameters, including the position, resolution, and voxel size, to ensure the acquisition of high-quality image data. Subsequently, apply appropriate diffusion-weighted imaging techniques to scan the target region and collect relevant data. By using a diffusion-weighted model and mathematical algorithms, calculate the apparent diffusion coefficient of the tissue, which reflects the diffusion characteristics of water molecules in the tissue. The entire process includes multiple steps such as the adjustment of the scan sequence, data acquisition, and calculation of the diffusion coefficient to ensure the accurate acquisition of the apparent diffusion coefficient of the tissue.

[0087] In this embodiment, by using the position information, image scale information, and voxel scale information of the first scan sequence, ensure that the second scan sequence is accurately aligned with the target region and adjust the scan parameters to provide more comprehensive image information. Secondly, on the basis of alignment, calculate the apparent diffusion coefficient of the tissue through diffusion-weighted imaging techniques and mathematical algorithms to reflect the diffusion characteristics of water molecules in the tissue. The entire process includes steps such as information application, adjustment of scan parameters, data acquisition, and calculation of the diffusion coefficient to ensure the accurate acquisition of tissue diffusion information.

[0088] It should be understood that although the steps in the flowcharts involved in the above embodiments are sequentially shown according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless clearly stated in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0089] Based on the same inventive concept, an embodiment of the present application further provides an image correction device for a magnetic resonance system for implementing the image correction method of the magnetic resonance system involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the image correction device for a magnetic resonance system provided below can refer to the limitations on an image correction method for a magnetic resonance system in the above text, and will not be repeated here.

[0090] In one embodiment, as Figure 8 shown, an image correction device for a magnetic resonance system is provided, including: an image acquisition module 802, a first coefficient obtaining module 804, a second coefficient obtaining module 806, and an image correction module 808, where:

[0091] The image acquisition module 802 is configured to scan a target area according to a first scan sequence to obtain a magnetic resonance T2 quantitative image to be corrected;

[0092] The first coefficient obtaining module 804 is configured to obtain magnetic resonance echo spacing information and an inter-echo diffusion sensitivity coefficient according to the first scan sequence;

[0093] The second coefficient obtaining module 806 is configured to scan the target area according to a second scan sequence to obtain an apparent diffusion coefficient of the tissue;

[0094] The image correction module 808 is configured to correct the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficient, and the apparent diffusion coefficient of the tissue to obtain a corrected magnetic resonance T2 quantitative image.

[0095] In one embodiment, the image correction module 808 is further configured to adjust the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo interval information to obtain first adjusted magnetic resonance data; adjust the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo interval information, the inter-echo diffusion sensitivity coefficient, and the tissue apparent diffusion coefficient to obtain second adjusted magnetic resonance data; and obtain the corrected magnetic resonance T2 quantitative image according to the first adjusted magnetic resonance data and the second adjusted magnetic resonance data.

[0096] In one embodiment, the image correction module 808 is further configured to adjust the to-be-corrected magnetic resonance image according to the inter-echo diffusion sensitivity coefficient and the tissue apparent diffusion coefficient to obtain intermediate adjusted magnetic resonance data; and obtain the second adjusted magnetic resonance data according to the magnetic resonance echo interval information and the intermediate adjusted magnetic resonance data.

[0097] In one embodiment, the first coefficient obtaining module 804 is further configured to respectively determine the echo information center times of any two adjacent echoes in the first scan sequence; and determine the magnetic resonance echo interval information according to the echo information center times.

[0098] In one embodiment, the first coefficient obtaining module 804 is further configured to determine the sequence gradient selection area space according to any two adjacent magnetic resonance echo information of the first scan sequence; select a target gradient pair in the sequence gradient selection area space; and obtain the inter-echo diffusion sensitivity coefficient according to the target gradient pair.

[0099] In one embodiment, the second coefficient obtaining module 806 is further configured to set a second scan sequence according to the position information, the image scale information, and the voxel scale information of the first scan sequence; and scan the target area based on the position information, the image scale information, and the voxel scale information according to the second scan sequence to obtain the tissue apparent diffusion coefficient.

[0100] Each module in the above image correction device of a magnetic resonance system 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 respective modules.

[0101] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 9As shown. The computer device includes a processor, a memory, and a network interface connected via 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, 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 to store server data. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements an image correction method for a magnetic resonance system.

[0102] Those skilled in the art can understand that Figure 9 the structure shown in is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this 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 different component arrangements.

[0103] In one embodiment, a magnetic resonance imaging system is further provided, including a magnetic resonance device and a computer;

[0104] The magnetic resonance device is used to scan a target area according to a first scan sequence to obtain a magnetic resonance T2 quantitative image to be corrected;

[0105] The magnetic resonance device is further used to obtain magnetic resonance echo spacing information and inter-echo diffusion sensitivity coefficients according to the first scan sequence;

[0106] The magnetic resonance device is further used to scan the target area according to a second scan sequence to obtain the tissue apparent diffusion coefficient;

[0107] The computer is used to correct the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the tissue apparent diffusion coefficient to obtain a corrected magnetic resonance T2 quantitative image.

[0108] In one embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, it implements the steps in the above method embodiments.

[0109] In one embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0110] In one embodiment, a computer program product or a computer program is provided. The computer program product or the computer program includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above method embodiments.

[0111] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0112] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in 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 embodiments of the above methods. Among them, any reference to a memory, a database, or other media used in the embodiments provided in this 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, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. 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. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0113] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise 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.

[0114] The above-described embodiments merely 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 patent of the present application. 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 present application shall be subject to the appended claims.

Claims

1. An image correction method for a magnetic resonance system, characterized in that The magnetic resonance system is configured with a first scan sequence and a second scan sequence, and the method includes: Scanning a target region according to the first scan sequence to obtain a to-be-corrected magnetic resonance T2 quantitative image; Obtaining magnetic resonance echo spacing information and inter-echo diffusion sensitivity coefficients according to the first scan sequence; Scanning the target region according to the second scan sequence to obtain an apparent diffusion coefficient of tissue; Correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of tissue to obtain a corrected magnetic resonance T2 quantitative image.

2. The method according to claim 1, wherein The first scan sequence is a multi-echo spin echo sequence, and the multi-echo spin echo sequence is used to generate the to-be-corrected magnetic resonance T2 quantitative image; The second scan sequence is a magnetic resonance sequence with diffusion encoding gradients, and the second scan sequence is used to obtain the apparent diffusion coefficient of tissue; The first scan sequence and the second scan sequence have the same scan parameters, and the scan parameters include position, image size, and voxel size.

3. The method according to claim 1, wherein The correcting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of tissue to obtain a corrected magnetic resonance T2 quantitative image includes: Adjusting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information to obtain first adjusted magnetic resonance data; Adjusting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of tissue to obtain second adjusted magnetic resonance data; Obtaining the corrected magnetic resonance T2 quantitative image according to the first adjusted magnetic resonance data and the second adjusted magnetic resonance data.

4. The method according to claim 3, characterized in that, The adjusting the to-be-corrected magnetic resonance T2 quantitative image according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of tissue to obtain second adjusted magnetic resonance data includes: Adjusting the to-be-corrected magnetic resonance image according to the inter-echo diffusion sensitivity coefficients and the apparent diffusion coefficient of tissue to obtain intermediate adjusted magnetic resonance data; Obtaining the second adjusted magnetic resonance data according to the magnetic resonance echo spacing information and the intermediate adjusted magnetic resonance data.

5. The method according to claim 1, wherein The obtaining magnetic resonance echo spacing information according to the first scan sequence includes: Respectively determining the echo information center times of any two adjacent echoes in the first scan sequence; Determining the magnetic resonance echo spacing information according to each of the echo information center times.

6. The method according to claim 5, wherein The obtaining inter-echo diffusion sensitivity coefficients according to any two adjacent magnetic resonance echo information in a magnetic resonance scan sequence includes: Determining a sequence gradient selection region space according to any two adjacent magnetic resonance echo information of the first scan sequence; Selecting a target gradient pair in the sequence gradient selection region space; Obtaining the inter-echo diffusion sensitivity coefficients according to the target gradient pair.

7. The method according to claim 1, characterized in that, The second scan sequence has a diffusion encoding gradient for calculating the apparent diffusion coefficient of tissue; the first scan sequence and the second scan sequence have the same position information, image scale information, and voxel scale information.

8. The method according to claim 7, wherein Scanning the target region according to the second scan sequence to obtain the apparent diffusion coefficient of tissue includes: Setting the second scan sequence according to the position information, image scale information, and voxel scale information of the first scan sequence; Based on the position information, the image scale information, and the voxel scale information, scanning the target region according to the second scan sequence to obtain the apparent diffusion coefficient of the tissue.

9. A magnetic resonance imaging system, characterized in that, It includes a magnetic resonance device and a computer; The magnetic resonance device is used to scan a target region according to the first scan sequence to obtain a magnetic resonance T2 quantitative image to be corrected; The magnetic resonance device is further used to obtain magnetic resonance echo spacing information and inter-echo diffusion sensitivity coefficients according to the first scan sequence; The magnetic resonance device is further used to scan the target region according to the second scan sequence to obtain the apparent diffusion coefficient of tissue; The computer is used to correct the magnetic resonance T2 quantitative image to be corrected according to the magnetic resonance echo spacing information, the inter-echo diffusion sensitivity coefficients, and the apparent diffusion coefficient of the tissue to obtain a corrected magnetic resonance T2 quantitative image.

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

Images