A Multimodal Carotid MRI Registration Method Based on Physical Alignment and Contour Matching

Abstract

The invention relates to a multimodal carotid MRI registration method based on physical alignment and contour matching. The method comprises steps that 1), image space physical coordinates are calculated; 2), body pixel spacing conversion image formats are unified; 3), the alignment relationship of multi-modal image layers is determined; 4), inner wall segmentation of multi-modal 2D images of eachsequence is carried out, a sequence of MRI images is sequentially selected, segmentation start and termination layers of the sequence images are determined, the ROI where a carotid is located in thestart layer image is selected, and the segmentation method is utilized to realize continuous automatic segmentation of the entire sequence; and 5), 3D registration based on the inner wall contour is carried out, and the clear inner wall contour segmentation result is utilized to carry out three-dimensional continuous registration. The method is advantaged in that carotid multimodal sequence imagesin various types are effective, alignment registration among pixels is excellently realized, and doctors are facilitated to carry out subsequent diagnosis and treatment determination and patch composition analysis.

Description

technical field [0001] The invention relates to the field of medical image registration, and is a multimodal carotid MRI registration method based on physical alignment and contour matching. Background technique [0002] In recent years, stroke has become one of the diseases that seriously endanger human health due to its high incidence, high disability rate and high death rate, and carotid artery vulnerable plaque is closely related to the occurrence of stroke. Therefore, the identification of carotid atherosclerotic plaque components and the determination of plaque stability have become the focus of current medical imaging research. [0003] High-resolution MRI has the advantages of high tissue resolution, noninvasiveness, and reproducibility, and is an effective method for identifying carotid vessel morphology and quantifying carotid plaque components. Multimodal MRI images can not only show lumen stenosis, but also display plaque morphology and composition information. ...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the existing multimodal MRI problems such as quantity, image size, and inconsistency of scanning layers, the present invention proposes a method of aligning spatial positions and combining inner wall contours for three-dimensional registration, and reintegrates the image data of each sequence to design a set of The multimodal carotid MRI registration method based on physical alignment and contour matching can better compare, observe and detect the carotid plaque area from each sequence image, so as to facilitate the subsequent evaluation of lumen stenosis and plaque component analysis

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