Cerebrovascular image flow void artifact elimination method and system

Abstract

The invention discloses a cerebrovascular image flow void artifact elimination method. The method comprises the steps of acquiring a bright blood image and an enhanced black blood image of the brain blood vessel; taking the enhanced black blood image as a reference image and the bright blood image as a floating image, performing coordinate transformation on the bright blood image, and performing interpolation processing on the bright blood image by adopting a bilinear interpolation method; calculating the similarity between the bright blood image after interpolation processing and the enhancedblack blood image by using similarity measurement; finding out the optimal similarity measurement by utilizing a search strategy; carrying out coordinate transformation on the bright blood image whenthe similarity measurement is optimal, and obtaining a first registration image; extracting the same scanning area in the enhanced black blood image according to the scanning area of the bright bloodimage in the first registration image to obtain a second registration image; and carrying out flow void artifact elimination on the second registration image. According to the scheme of the invention, the flow void artifact can be quickly eliminated, more accurate and comprehensive blood vessel images can be displayed, and doctors can be assisted in accurate intracranial disease diagnosis.

Description

technical field [0001] The technical field of image processing of the present invention particularly relates to a method and system for eliminating flow void artifacts in cerebrovascular images. Background technique [0002] According to the latest medical data, vascular diseases have seriously affected the life and health of contemporary people and become one of the diseases with a high mortality rate. Such as atherosclerosis, inflammatory vascular disease, vascular true neoplastic disease and so on. The common causes of vascular diseases are narrowing, blockage, rupture, and plaque in blood vessels. Clinically, high-resolution magnetic resonance angiography (High-resolution Magnetic Resonance Angiography, HRMRA) technology is generally used to detect the vessel wall and the degree of stenosis of the vessel, so as to provide doctors with the information needed for diagnosis. [0003] Among them, the bright blood sequence in HRMRA can suppress the background, display and q...

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

[0004] 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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