ASL image processing system, device and terminal for cerebral artery stenosis and occlusion

Abstract

The present invention belongs to the field of medical image processing technology and discloses an ASL image processing system, device, and terminal for cerebral artery stenosis and occlusion. The ASL image processing system for cerebral artery stenosis and occlusion comprises: a scanning parameter acquisition module, an image acquisition module, a central control module, a data post-processing module, an image pre-processing module, a CBF image generation module, a CBF image processing module, a vascular region demarcation module, a vascular segmentation module, a three-dimensional reconstruction module, a parameter calculation module, a data analysis module, and a display module. The present invention eliminates data errors caused by initial machine operation instability by deleting the earliest scan data. Simultaneously, the scan data is corrected and registered to avoid artifacts caused by user movement during processing, thereby improving image reliability and data analysis accuracy.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical image processing, and in particular relates to an ASL image processing system, device and terminal for cerebral artery stenosis and occlusion. Background Art

[0002] Currently, arterial spin labeling (ASL) is a non-invasive magnetic resonance imaging technique for detecting cerebral perfusion. Based on the theoretical assumption that tracers diffuse freely from blood vessels into tissue spaces, it uses the signal reduction caused by the influx of magnetically labeled water protons in arterial blood into the imaging plane and tissue exchange to perform imaging. Subtraction analysis is performed on the images before and after labeling to obtain qualitative and quantitative maps of cerebral blood flow (CBF).

[0003] The images processed by existing ASL image processing technology are unclear and contain artifacts, resulting in inaccurate results; and the existing technology cannot perform clear, complete and accurate three-dimensional reconstruction of cerebral arteries based on ASL images.

[0004] Through the above analysis, the problems and defects of the existing technology are as follows: the images processed by the existing ASL image processing technology are not clear and contain artifacts, resulting in inaccurate results of ASL image processing; and the existing technology cannot perform clear, complete and accurate three-dimensional reconstruction of cerebral arteries based on ASL images. Summary of the Invention

[0005] In response to the problems existing in the prior art, the present invention provides an ASL image processing system, device and terminal for cerebral artery stenosis and occlusion.

[0006] The present invention is implemented as follows: an ASL image processing system for cerebral artery stenosis and occlusion, the ASL image processing system for cerebral artery stenosis and occlusion comprising:

[0007] An image preprocessing module, connected to the central control module, is used to preprocess the obtained ASL image to obtain a preprocessed ASL image;

[0008] a CBF image generation module, connected to the central control module, for generating a CBF image based on the preprocessed ASL image;

[0009] The CBF image processing module is connected to the central control module and is used to perform spatial standardization and smoothing on the generated CBF image to obtain a processed CBF image;

[0010] A blood vessel region division module is connected to the central control module and is used to determine the region range of the blood vessel based on the processed CBF image;

[0011] A blood vessel segmentation module, connected to the central control module, is used to accurately segment the blood vessels based on the determined regional range of the blood vessels;

[0012] A three-dimensional reconstruction module is connected to the central control module and is used to perform three-dimensional reconstruction of cerebral arteries based on the blood vessel segmentation results combined with the processed CBF image;

[0013] A parameter calculation module is connected to the central control module and is used to calculate cerebral artery related parameters based on the 3D reconstruction results of cerebral arteries combined with CBF images;

[0014] The data analysis module is connected to the central control module and is used to perform cerebral artery stenosis and occlusion analysis based on the 3D reconstruction results of cerebral arteries, CBF images, and cerebral artery related parameters.

[0015] Furthermore, the ASL image processing system for cerebral artery stenosis and occlusion further comprises:

[0016] A scanning parameter acquisition module, connected to the central control module, is used to determine the ASL scanning parameters of the cerebral arteries;

[0017] an image acquisition module, connected to the central control module, for acquiring ASL scanning data based on the ASL scanning parameters;

[0018] The central control module is connected to the scanning parameter acquisition module, image acquisition module, data post-processing module, image pre-processing module, CBF image generation module, CBF image processing module, blood vessel region division module, blood vessel segmentation module, 3D reconstruction module, parameter calculation module, data analysis module and display module, and is used to control the normal operation of each module using a single-chip microcomputer or controller;

[0019] A data post-processing module is connected to the central control module and is used to post-process the acquired ASL scan data to generate an ASL image;

[0020] The display module is connected to the central control module and is used to display the processed CBF image, three-dimensional reconstructed cerebral artery blood vessels, calculated parameters and data analysis results on the display.

[0021] Furthermore, the data post-processing module performs post-processing on the acquired ASL scan data to generate an ASL image, including the following steps:

[0022] First, the time points of the ASL scan data are obtained, and the ASL scan data are sorted in chronological order, and the ASL scan data of the first five time points are deleted to obtain the initially processed ASL scan data;

[0023] Secondly, performing motion correction processing and registration processing on the initially processed ASL scan data to obtain valid ASL scan data;

[0024] Finally, the format of the valid ASL scan data is converted to generate an ASL image; the ASL image includes an ASL control image and an ASL mark image.

[0025] Furthermore, the image preprocessing module preprocesses the obtained ASL image, and the preprocessed ASL image includes:

[0026] First, the generated ASL image is denoised using the Gaussian filtering algorithm to obtain the denoised ASL image;

[0027] Secondly, the denoised ASL image is filtered and the edge detection method is used to detect the filtered ASL image to remove the irrelevant areas at the edge of the ASL image.

[0028] Finally, the edge-removed ASL image is enhanced to obtain a pre-processed ASL image.

[0029] Furthermore, the CBF image generation module generates a CBF image based on the preprocessed ASL image, including:

[0030] First, the CBF image is obtained by subtracting the ASL marker image from the preprocessed ASL control image;

[0031] Secondly, the CBF image is grayscaled to obtain a CBF grayscale image; and the image threshold of the CBF image is adjusted to obtain a CBF pseudo-color image.

[0032] Furthermore, obtaining the CBF image by subtracting the ASL marker image from the preprocessed ASL control image includes:

[0033] Based on the multiple pre-processed ASL control images, multiple CBF images are subtracted from the multiple pre-processed ASL marker images, and the multiple CBF images are averaged to obtain the CBF image.

[0034] Furthermore, adjusting the image threshold of the CBF image to obtain the CBF pseudo-color image includes: adjusting the image threshold and using different colors to identify different blood perfusion amounts.

[0035] Another object of the present invention is to provide a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor implements the ASL image processing system for cerebral artery stenosis and occlusion.

[0036] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to implement the ASL image processing system for cerebral artery stenosis and occlusion.

[0037] Another object of the present invention is to provide an information data processing terminal, which is used to implement the ASL image processing system for cerebral artery stenosis and occlusion.

[0038] The present invention eliminates data errors caused by unstable machine operation at the beginning by deleting the earliest scan data; at the same time, the scan data is corrected and registered to avoid artifacts caused by user movement during the process, thereby improving the reliability of the image and the accuracy of data analysis.

[0039] The present invention obtains a high-definition CBF image by performing denoising, filtering and enhancement processing on multiple CBF images. At the same time, random errors are reduced by averaging the multiple CBF images, thereby ensuring the reliability of the image.

[0040] The images processed by the ASL image processing method of the present invention are clearer, more reliable, and more practical, and can clearly and completely perform three-dimensional reconstruction of cerebral arteries, and can provide an intuitive reference for data analysis of cerebral artery stenosis and occlusion. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of a method in which a data post-processing module provided in an embodiment of the present invention performs post-processing on acquired ASL scan data to generate an ASL image;

[0042] Figure 2 This is a flow chart of a method in which an image preprocessing module provided in an embodiment of the present invention preprocesses an obtained ASL image to obtain a preprocessed ASL image;

[0043] Figure 3 This is a flow chart of a method in which a CBF image generation module according to an embodiment of the present invention generates a CBF image based on a preprocessed ASL image. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0045] The ASL image processing system for cerebral artery stenosis and occlusion provided by an embodiment of the present invention includes:

[0046] A scanning parameter acquisition module, connected to the central control module, is used to determine the ASL scanning parameters of the cerebral arteries;

[0047] an image acquisition module, connected to the central control module, for acquiring ASL scanning data based on the ASL scanning parameters;

[0048] The central control module is connected to the scanning parameter acquisition module, image acquisition module, data post-processing module, image pre-processing module, CBF image generation module, CBF image processing module, blood vessel region division module, blood vessel segmentation module, 3D reconstruction module, parameter calculation module, data analysis module and display module, and is used to control the normal operation of each module using a single-chip microcomputer or controller;

[0049] A data post-processing module is connected to the central control module and is used to post-process the acquired ASL scan data to generate an ASL image;

[0050] An image preprocessing module, connected to the central control module, is used to preprocess the obtained ASL image to obtain a preprocessed ASL image;

[0051] a CBF image generation module, connected to the central control module, for generating a CBF image based on the preprocessed ASL image;

[0052] The CBF image processing module is connected to the central control module and is used to perform spatial standardization and smoothing on the generated CBF image to obtain a processed CBF image;

[0053] A blood vessel region division module is connected to the central control module and is used to determine the region range of the blood vessel based on the processed CBF image;

[0054] A blood vessel segmentation module, connected to the central control module, is used to accurately segment the blood vessels based on the determined regional range of the blood vessels;

[0055] A three-dimensional reconstruction module is connected to the central control module and is used to perform three-dimensional reconstruction of cerebral arteries based on the blood vessel segmentation results combined with the processed CBF image;

[0056] A parameter calculation module is connected to the central control module and is used to calculate cerebral artery related parameters based on the 3D reconstruction results of cerebral arteries combined with CBF images;

[0057] A data analysis module, connected to the central control module, is used to analyze cerebral artery stenosis and occlusion based on cerebral artery 3D reconstruction results, CBF images, and cerebral artery related parameters;

[0058] The display module is connected to the central control module and is used to display the processed CBF image, three-dimensional reconstructed cerebral artery blood vessels, calculated parameters and data analysis results on the display.

[0059] like Figure 1 As shown, the data post-processing module provided in the embodiment of the present invention performs post-processing on the acquired ASL scan data to generate an ASL image, including the following steps:

[0060] S101, obtaining the time points of the ASL scan data, sorting the ASL scan data in chronological order, deleting the ASL scan data of the first five time points, and obtaining initially processed ASL scan data;

[0061] S102, performing motion correction and registration processing on the initially processed ASL scan data to obtain valid ASL scan data;

[0062] S103, converting the format of the valid ASL scan data and generating an ASL image; the ASL image includes an ASL control image and an ASL mark image.

[0063] like Figure 2 As shown, the image preprocessing module provided in the embodiment of the present invention preprocesses the obtained ASL image, and the preprocessed ASL image includes:

[0064] S201, performing denoising on the generated ASL image using a Gaussian filtering algorithm to obtain a denoised ASL image;

[0065] S202, performing image filtering processing on the denoised ASL image, and detecting the filtered ASL image using an edge detection method to remove irrelevant areas at the edge of the ASL image;

[0066] S203 , performing enhancement processing on the ASL image after edge removal to obtain a pre-processed ASL image.

[0067] like Figure 3 As shown, the CBF image generation module provided in the embodiment of the present invention generates a CBF image based on the preprocessed ASL image, including:

[0068] S301, obtaining a CBF image based on the preprocessed ASL control image by subtracting the ASL marker image;

[0069] S302 , performing grayscale processing on the CBF image to obtain a CBF grayscale image; and adjusting an image threshold of the CBF image to obtain a CBF pseudo-color image.

[0070] The method of obtaining a CBF image by subtracting an ASL marker image from the preprocessed ASL control image provided by an embodiment of the present invention includes:

[0071] Based on the multiple pre-processed ASL control images, multiple CBF images are subtracted from the multiple pre-processed ASL marker images, and the multiple CBF images are averaged to obtain the CBF image.

[0072] The method of adjusting the image threshold of a CBF image to obtain a CBF pseudo-color image provided by an embodiment of the present invention includes: adjusting the image threshold and using different colors to identify different blood perfusion amounts.

[0073] The present invention applies the ASL image processing system for cerebral artery stenosis and occlusion to a computer device. The computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor executes the ASL image processing system for cerebral artery stenosis and occlusion.

[0074] The present invention applies the ASL image processing system for cerebral artery stenosis and occlusion to a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor executes the ASL image processing system for cerebral artery stenosis and occlusion.

[0075] The present invention applies the ASL image processing system for cerebral artery stenosis and occlusion to an information data processing terminal.

[0076] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware portion can be implemented using dedicated logic; the software portion can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. Those skilled in the art will appreciate that the above-mentioned devices and methods can be implemented using computer-executable instructions and / or contained in processor control code, for example, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, or can be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0077] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with this technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered by the scope of protection of the present invention.

Claims

1. An ASL image processing system for cerebral artery stenosis and occlusion, characterized in that: The ASL image processing system for cerebral artery stenosis and occlusion comprises: An image preprocessing module, connected to the central control module, is used to preprocess the obtained ASL image to obtain a preprocessed ASL image; a CBF image generation module, connected to the central control module, for generating a CBF image based on the preprocessed ASL image; The CBF image processing module is connected to the central control module and is used to perform spatial standardization and smoothing on the generated CBF image to obtain a processed CBF image; A blood vessel region division module is connected to the central control module and is used to determine the region range of the blood vessel based on the processed CBF image; A blood vessel segmentation module, connected to the central control module, is used to accurately segment the blood vessels based on the determined regional range of the blood vessels; A three-dimensional reconstruction module is connected to the central control module and is used to perform three-dimensional reconstruction of cerebral arteries based on the blood vessel segmentation results combined with the processed CBF image; A parameter calculation module is connected to the central control module and is used to calculate cerebral artery related parameters based on the 3D reconstruction results of cerebral arteries combined with CBF images; A data analysis module, connected to the central control module, is used to analyze cerebral artery stenosis and occlusion based on cerebral artery 3D reconstruction results, CBF images, and cerebral artery related parameters; The image preprocessing module preprocesses the obtained ASL image to obtain the preprocessed ASL image, including: First, the generated ASL image is denoised using the Gaussian filtering algorithm to obtain the denoised ASL image; Secondly, the denoised ASL image is filtered and the edge detection method is used to detect the filtered ASL image to remove the irrelevant areas at the edge of the ASL image. Finally, the edge-removed ASL image is enhanced to obtain a pre-processed ASL image.

2. The ASL image processing system for cerebral artery stenosis and occlusion according to claim 1, characterized in that: The ASL image processing system for cerebral artery stenosis and occlusion further includes: A scanning parameter acquisition module, connected to the central control module, is used to determine the ASL scanning parameters of the cerebral arteries; an image acquisition module, connected to the central control module, for acquiring ASL scanning data based on the ASL scanning parameters; The central control module is connected to the scanning parameter acquisition module, image acquisition module, data post-processing module, image pre-processing module, CBF image generation module, CBF image processing module, blood vessel region division module, blood vessel segmentation module, 3D reconstruction module, parameter calculation module, data analysis module and display module, and is used to control the normal operation of each module using a single-chip microcomputer or controller; A data post-processing module is connected to the central control module and is used to post-process the acquired ASL scan data to generate an ASL image; The display module is connected to the central control module and is used to display the processed CBF image, three-dimensional reconstructed cerebral artery blood vessels, calculated parameters and data analysis results on the display.

3. The ASL image processing system for cerebral artery stenosis and occlusion according to claim 2, characterized in that: The data post-processing module performs post-processing on the acquired ASL scan data to generate an ASL image, including the following steps: First, the time points of the ASL scan data are obtained, and the ASL scan data are sorted in chronological order, and the ASL scan data of the first five time points are deleted to obtain the initially processed ASL scan data; Secondly, performing motion correction processing and registration processing on the initially processed ASL scan data to obtain valid ASL scan data; Finally, the format of the valid ASL scan data is converted to generate an ASL image; the ASL image includes an ASL control image and an ASL mark image.

4. The ASL image processing system for cerebral artery stenosis and occlusion according to claim 1, characterized in that: The CBF image generation module generates a CBF image based on the preprocessed ASL image, including: First, the CBF image was obtained by subtracting the ASL marker image from the preprocessed ASL control image; Secondly, the CBF image is grayscaled to obtain a CBF grayscale image; and the image threshold of the CBF image is adjusted to obtain a CBF pseudo-color image.

5. The ASL image processing system for cerebral artery stenosis and occlusion according to claim 4, characterized in that: The step of obtaining a CBF image based on the preprocessed ASL control image by subtracting the ASL marker image includes: Based on the multiple pre-processed ASL control images, multiple CBF images are subtracted from the multiple pre-processed ASL marker images, and the multiple CBF images are averaged to obtain the CBF image.

6. The ASL image processing system for cerebral artery stenosis and occlusion according to claim 4, characterized in that: The step of adjusting the image threshold of the CBF image to obtain the CBF pseudo-color image includes: adjusting the image threshold and using different colors to identify different blood perfusion amounts.

7. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the ASL image processing system for cerebral artery stenosis and occlusion as described in any one of claims 1-6.

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