Computer Science ›› 2019, Vol. 46 ›› Issue (5): 241-246.doi: 10.11896/j.issn.1002-137X.2019.05.037

Special Issue: Medical Imaging

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Multi-contrast Carotid MRI 3D Registration Method Based on Spatial Alignment and Contour Matching

WANG Xiao-yan1, LIU Qi-qi1, HUANG Xiao-jie2, JIANG Wei-wei1, XIA Ming1   

  1. (College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)1
    (School of Medicine,Zhejiang University,Hangzhou 310058,China)2
  • Published:2019-05-15

Abstract: Multi-contrast high-resolution magnetic resonance imaging(MRI) technology can non-invasively display the wall structure and plaque composition,providing an effective method for diagnosis and analysis of carotid atherosclerotic plaque.The registration of vessels in multi-contrast images becomes a critical task for plaque identification.This paper proposed a three-dimensional registration algorithm based on spatial position alignment and lumen contour matching.With multi-contrast carotid MRI,a coarse-to-fine strategy was adopted.Firstly,the physical coordinates are found to perform the spatial alignment.Then,the ostu algorithm and active contour model are used to complete the semi-automatic continuous segmentation of the blood vessel lumens.Finally,the lumen contour point clouds are utilized to perform three-dimensional rigid registration based on an improved iterative closest point algorithm.The results indicate that the three-dimensional average lumen inclusion rate between TOF and T1Gd sequence reaches 92.79%,and the average lumen inclusion rate between T1WI and T1Gd sequence reaches 94.66%.The proposed algorithm achieves three-dimensional accurate registration of multi-contrast MRI,which lays the foundation for the subsequent analysis of vulnerable atherosclerotic plaque.

Key words: Carotid atherosclerosis, Magnetic resonance image, Multi-contrast, Three-dimensional registration, Vulnerable plaque

CLC Number: 

  • TP391
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