ROI mark point matching method based on intravascular unltrasound image

Abstract

The invention provides an ROI mark point matching method based on an intravascular unltrasound image, and relates to the field of computer medical image analysis. The method is characterized by including the steps of firstly, conducting background suppression on the area, except the ROI, of an IVUS image, extracting an ROI image, and setting even mark points of an original image; secondly, setting a search window on a to-be-matched image according to the limitation of blood vessel wall deformation and the fact that no rotation conversion can happen between collected images, wherein the size of the search window is set according to the maximum deformation amount of endangium; thirdly, finding a matched point in the search window through a traversing method, and using the central position of a search sub-image as the matched point, wherein the search sub-image and a neighborhood sub-image of the mark points have the maximum mutual correlation similarity measure. Compared with an ordinary matching algorithm, the method is short in matching time and high in accuracy. By means of the method, the displacement situations of blood vessels before and after deformation can be provided, conditions are provided for elastic computing, and the good foundation is provided for the lesion analysis.

Description

technical field [0001] The invention relates to the field of computerized medical image analysis, in particular to a method for matching marker points of ROI (region of interest) in blood vessels based on IVUS (Intravascular Ultrasound) images. Background technique [0002] In recent years, with the continuous improvement of people's living standards and the development of population aging, coronary heart disease has become one of the major diseases that threaten human health, and atherosclerosis (AS) is the main pathology leading to cardiovascular and cerebrovascular diseases. Base. Intravascular ultrasound image is a kind of tomographic slice image, which can display the cross-sectional view of the blood vessel at the current position, describe the tissue composition of the blood vessel wall, lumen and plaque in detail, and then calculate the lumen diameter, cross-sectional area, and blood vessel elasticity. According to the analysis of the plaque acoustic characteristics...

AI Technical Summary

Problems solved by technology

[0003] However, in actual diagnosis and treatment, although the collected IVUS images provide a wealth of information, the unprocessed IVUS images still bring certain difficulties to the doctor's diagnosis, which inevitably leads to the inability to objectively reflect the diagnostic results. In reality, the so-called region of interest (ROI) is the lumen region of the blood vessel, that is, the plaque region between the inner and outer membranes

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