A method for evaluating the extracranial-intracranial arterial compensation based on two-dimensional DSA

Abstract

The present invention provides a method for evaluating the extracranial-intracranial arterial compensation based on two-dimensional DSA, comprising: acquiring original digital subtraction angiography data and performing screening to obtain the screened digital subtraction angiography data; converting the screened digital subtraction angiography data to obtain JPEG image data; processing the JPEG image data to obtain a grayscale image; performing a quantity statistics on a preset pixel value according to the grayscale image to obtain a preset number of pixels; and evaluating the extracranial-intracranial arterial compensation region according to the preset number of pixels. The present invention solves the problem of low accuracy of the evaluation means in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of intracranial and extracranial artery compensation evaluation, and particularly to a method for evaluating intracranial and extracranial artery compensation based on two-dimensional DSA. Background Art

[0002] Moyamoya disease is a rare but serious cerebrovascular disease that involves the blood vessel system of the brain, particularly the arteries in the circle of Willis. These arteries gradually narrow and become blocked, leading to impaired blood flow to the brain, which may trigger strokes and nerve damage. Therefore, for patients with moyamoya disease, timely vascular reconstruction surgery is crucial to restore and improve blood supply to the brain. Evaluating the vascular compensation situation after surgery is crucial for determining the surgical effect and the prognosis of the patient. In the past, such evaluation usually relied on medical imaging techniques such as digital subtraction angiography (DSA). However, there is still a lack of a unified and standardized method for evaluating the degree of compensatory angiogenesis and the residual amount of intracranial arteries. This means that a more accurate and reproducible method is needed to measure in order to better guide treatment decisions.

[0003] In the prior art, there have been some similar implementation schemes and methods for studying the vascular compensation situation of moyamoya disease. These methods usually rely on medical imaging techniques such as DSA, but the specific methods and evaluation methods may be different. The following are some existing methods:

[0004] Matsushima grading system: It is a system for evaluating the degree of vascular compensation in moyamoya disease. However, this system may be somewhat subjective and has certain limitations for clinical guidance.

[0005] CTP and ASL imaging: Many studies use CTP (computed tomography perfusion) and ASL (arterial spin labeling) imaging to evaluate the vascular compensation situation. Although these methods are useful in some cases, their sensitivity and specificity for relatively thin blood vessels are relatively low, and it is difficult to reflect the real data.

[0006] DSA image analysis: In previous studies, some researchers have tried to use digital subtraction angiography (DSA) images for quantitative analysis of vascular compensation. This usually involves manually or semi-automatically measuring parameters such as the width and length of blood vessels to evaluate the degree of compensation. However, this method may be subjective and not precise enough. Summary of the Invention

[0007] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a method for evaluating intracranial and extracranial artery compensation based on two-dimensional DSA, and the present invention solves the problem of low accuracy of the evaluation means in the prior art.

[0008] To achieve the above purpose, the present invention provides the following solution:

[0009] A method for evaluating intracranial and extracranial arterial compensation based on two-dimensional DSA, comprising:

[0010] Obtain the original digital subtraction angiography data and perform screening to obtain the screened digital subtraction angiography data;

[0011] Convert the screened digital subtraction angiography data to obtain JPEG image data;

[0012] Process the JPEG image data to obtain a grayscale image;

[0013] Calculate a preset number of pixels based on the grayscale image to obtain a preset pixel value;

[0014] Evaluate the intracranial and extracranial arterial compensation area according to the preset number of pixels.

[0015] Preferably, it further includes:

[0016] Perform standardization processing on the head data to obtain the standardized head data;

[0017] Calculate the average values of two image sets based on the standardized head data and the grayscale image to determine the ratio of vascular pixels to total head pixels;

[0018] Evaluate vascular compensation according to the ratio of vascular pixels to total head pixels.

[0019] Preferably, the screening method of the original digital subtraction angiography data is to manually review the digital subtraction angiography data and select two-dimensional data that separately performs internal and external carotid artery angiography and has a complete angiography cycle.

[0020] Preferably, the data format of the screened digital subtraction angiography data is DICOM format.

[0021] Preferably, the size of the JPEG image is 1024x1024 pixels, maintaining a 1:1 ratio.

[0022] Preferably, the preset area is the area above the origin of the superficial temporal artery.

[0023] Preferably, processing the JPEG image data to obtain a grayscale image includes:

[0024] Perform standardization processing on the JPEG image data to obtain the standardized JPEG image data;

[0025] Perform grayscale processing on the standardized JPEG image data to obtain a grayscale image.

[0026] Preferably, the preset number of pixels is the average of the number of pixels in the frontal and lateral positions.

[0027] According to the specific embodiments provided by the present invention, the following technical effects are disclosed:

[0028] The present invention provides a method for evaluating the compensation of intracranial and extracranial arteries based on two-dimensional DSA, including obtaining original digital subtraction angiography data and screening it to obtain the screened digital subtraction angiography data; converting the screened digital subtraction angiography data to obtain JPEG image data; processing the JPEG image data to obtain a grayscale image; counting the preset number of pixels according to the grayscale image to obtain the preset number of pixels; and evaluating the compensation area of the intracranial and extracranial arteries according to the preset number of pixels. The present invention improves the accuracy of evaluating the compensation area of the intracranial and extracranial arteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0030] Figure 1 It is a flowchart of a method for evaluating the compensation of intracranial and extracranial arteries based on two-dimensional DSA provided by an embodiment of the present invention;

[0031] Figure 2 It is a schematic diagram of a method for evaluating the compensation of intracranial and extracranial arteries based on two-dimensional DSA provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all of them. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.

[0033] The purpose of the present invention is to provide a method for evaluating the compensation of intracranial and extracranial arteries based on two-dimensional DSA, and the present invention solves the problem of low accuracy of the evaluation means in the prior art.

[0034] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0035] Such as Figure 1As shown in the figure, the present invention provides a method for evaluating the extracranial-intracranial artery compensation based on two-dimensional DSA, including:

[0036] Step 100: Obtain the original digital subtraction angiography data and perform screening to obtain the screened digital subtraction angiography data;

[0037] Step 200: Convert the screened digital subtraction angiography data to obtain JPEG image data;

[0038] Step 300: Process the JPEG image data to obtain a grayscale image;

[0039] Step 400: Calculate a preset number of pixels based on the grayscale image to obtain a preset pixel value;

[0040] Step 500: Evaluate the extracranial-intracranial artery compensation area based on the preset number of pixels.

[0041] Further, it also includes:

[0042] Perform standardization processing on the head data to obtain the standardized head data;

[0043] Calculate the average values of the two image sets based on the standardized head data and the grayscale image to determine the ratio of vascular pixels to total head pixels;

[0044] Evaluate the vascular compensation based on the ratio of vascular pixels to total head pixels.

[0045] Specifically, due to the change in the magnification of the patient's angiography, standardization of the head size is necessary. The background photo where the contrast agent is not developed in the angiography is used to construct a mask. By analyzing the obtained mask, the head is represented by white pixels with a pixel value of 255, while the rest of the background is black with a pixel value of 0. Determine the number of pixels with a pixel value of 255. This value, combined with the number of head pixels, can calculate the relative proportion of the superficial temporal artery compensation area after cerebral revascularization.

[0046] Perform data processing on the anteroposterior and lateral digital subtraction angiography (DSA) images of all patients to alleviate the problem of overlapping blood vessels. Calculate the average values of the two image sets to determine the ratio of vascular pixels to total head pixels as the final result of vascular compensation.

[0047] Further, as Figure 2 shown, the screening method of the original digital subtraction angiography data is to manually review the digital subtraction angiography data and select two-dimensional data that is separately for external carotid artery angiography and has a complete angiography cycle.

[0048] Further, the data format of the screened digital subtraction angiography data is DICOM format.

[0049] Further, the size of the JPEG image is 1024x1024 pixels, maintaining a 1:1 ratio.

[0050] Specifically, each frame of dynamic angiography data is converted into a JPEG image with a size of 1024x1024 pixels, maintaining a 1:1 ratio, through Dicomviewer software. This conversion allows for standardized image analysis and comparison across patients.

[0051] Further, the preset region is the region above the origin of the superficial temporal artery.

[0052] Specifically, the compensation conditions of the internal carotid artery and the superficial temporal artery are observed based on the branches of the internal and external carotid arteries. To directly focus on the compensation areas of the internal carotid artery and the superficial temporal artery after cerebral revascularization, the region above the origin of the superficial temporal artery is intercepted. This selection ensures that only the relevant regions of interest are included in the subsequent analysis.

[0053] Further, the JPEG image data is processed to obtain a grayscale image, including:

[0054] The JPEG image data is standardized to obtain standardized JPEG image data;

[0055] The standardized JPEG image data is grayscaled to obtain a grayscale image.

[0056] Further, the preset pixel value is the average of the number of pixels in the anteroposterior and lateral positions.

[0057] Specifically, to account for variations in the contrast background obtained from different imaging devices, data standardization is performed. The first background photo without contrast agent development is subtracted from all images of the same patient. Consistent white backgrounds are produced through data standardization, with blood vessels appearing black. The processed images are further converted to grayscale photos. Then all pixel values are standardized to the range of 0 - 255.

[0058] In each standardized image, the number of pixels with pixel values greater than 220 is calculated. The maximum value obtained from these calculations is considered the final result for that image. This process method is applied simultaneously to the anteroposterior and lateral views of the angiography data. The average of the number of pixels in the anteroposterior and lateral positions is used to represent the final result. This method reduces errors caused by pixel overlap and ensures a comprehensive assessment of the compensation areas of the internal carotid artery and the superficial temporal artery.

[0059] The beneficial effects of the present invention are as follows:

[0060] Quantitative assessment: This method provides a way to quantitatively evaluate the vascular compensation situation. This means that doctors can quantify the degree of vascular compensation, rather than just making subjective observations, which helps to more accurately monitor the patient's condition and treatment effect.

[0061] Repeatability: Due to the standardized nature of the method, it has high repeatability. This means that different medical institutions and doctors can use the same method to evaluate patients, thus reducing the interference of subjective factors.

[0062] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same and similar parts between the embodiments, reference can be made to each other. For the system disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and reference can be made to the description of the method part for the relevant parts.

[0063] Specific examples are used in this article to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, based on the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for evaluating the intracranial and extracranial arterial compensation based on two-dimensional DSA, characterized in that, Including: Obtain the original digital subtraction angiography data and perform screening to obtain the screened digital subtraction angiography data; Convert the screened digital subtraction angiography data to obtain JPEG image data; Process the JPEG image data to obtain a grayscale image; Based on the grayscale image, count the number of pixels with a preset pixel value to obtain a preset pixel count; the preset pixel count is the average of the number of pixels with the preset pixel value in two images, namely the anteroposterior view and the lateral view; Evaluate the intracranial and extracranial arterial compensation based on the preset pixel count; Also including: Perform normalization processing on the head data to obtain normalized head data; Determine the ratio of vascular pixels to total head pixels based on the normalized head data and the preset pixel count; Evaluate vascular compensation based on the ratio of vascular pixels to total head pixels.

2. The extracranial-intracranial arterial compensation evaluation method based on two-dimensional DSA according to claim 1, wherein The screening method of the original digital subtraction angiography data is to manually review the digital subtraction angiography data and select two-dimensional data that is separately for internal and external carotid artery angiography and has a complete angiography cycle.

3. The extracranial-intracranial arterial compensation evaluation method based on two-dimensional DSA according to claim 1, wherein The data format of the screened digital subtraction angiography data is the DICOM format.

4. A method for evaluating the compensation of intracranial and extracranial arteries based on two-dimensional DSA according to claim 1, characterized in that, The size of the JPEG image is 1024x1024 pixels, maintaining a 1:1 ratio.

5. A method for evaluating the extracranial-intracranial arterial compensation based on two-dimensional DSA according to claim 1, wherein Processing the JPEG image data to obtain a grayscale image includes: Perform normalization processing on the JPEG image data to obtain normalized JPEG image data; Perform grayscale processing on the normalized JPEG image data to obtain a grayscale image.

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