Intracranial blood vessel image flow void artifact elimination method

Abstract

The invention discloses an intracranial blood vessel image flow void artifact elimination method, which comprises the steps of obtaining a plurality of image pairs of an intracranial blood vessel, andpreprocessing a bright blood image and an enhanced black blood image in each image pair to obtain a first bright blood image and a first black blood image of the image pair; performing image registration on the plurality of preprocessed image pairs by using mutual information based on Gaussian distribution sampling and a registration method of an image pyramid to obtain a plurality of registeredimage pairs, each registered image pair comprising a registered bright blood image and a registered enhanced black blood image; for any registered image pair, improving the contrast of the registeredbright blood image to obtain a contrast-enhanced bright blood image; extracting blood information from the contrast-enhanced bright blood image to obtain a bright blood feature map; and performing image fusion on the bright blood feature map and the registered enhanced black blood image according to a preset fusion formula to obtain a target enhanced black blood image which corresponds to the registered image pair and is subjected to flow void artifact elimination.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for eliminating flow void artifacts in intracranial blood vessel images. Background technique [0002] According to the latest medical data, the number one cause of death among Chinese is stroke. Stroke, also known as cerebral apoplexy, is due to the blockage or rupture of intracranial blood vessels, which affects the normal circulation of blood, and then causes infarction diseases, such as cerebral hemorrhage, cerebral infarction, etc. If the treatment is not timely, the patient is likely to die; and even Timely treatment may also lead to disability of the patient. [0003] At present, methods based on lumen imaging are usually used to evaluate the degree of intracranial vascular lesions and vascular stenosis clinically, such as digital subtraction angiography (Digital Subtraction Angiography, DSA), CT angiography (Computed Tomography Angiography, CTA). ), ...

AI Technical Summary

Problems solved by technology

Flow void artifacts will lead to poor description of blood vessels and surrounding tissues in black blood images, and will simulate wall thickening or plaque appearance of normal individuals, thereby affecting doctors' diagnosis and making blood vessel analysis extremely difficult

[0005] The current flow-space artifact elimination methods focus on improving medical image imaging technology, such as the adoption of new imaging principles, new pulse sequences, and research and development of new imaging modes, etc., but these methods are complex to implement and difficult to promote in clinical applications. Accurate and fast removal of flow void artifacts is not possible with devices without these pulse sequences or imaging modes

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