基于多对比度磁共振颈动脉图像的配准算法研究

doi:10.3969/j.issn.0258-8021. 2017. 02.001

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Abstract Recently multi-contrast magnetic resonance imaging (MRI) has become a powerful tool for plaque analyzing due to its strong potential in enhanced demonstration of carotid wall, but its performance is hampered by the misalignment of difference imaging sequences. To achieve accurate vessel registration of multi-sequence images, a two-step coarse-to-fine registration strategy was proposed in this study. First, the iterative closest point was applied to realize the rigid registration of the centerlines of the multi-contrast images, and then the thin plate spline was used to realize the non-rigid registration based on the boundaries of carotid artery. In the second step, to find the corresponding points of the boundaries in different sequences, a shape context descriptor was innovatively introduced to screen the boundary points. In addition, the deterministic annealing technique was employed to find a globally optimized solution. The effectiveness of the proposed algorithm was quantitatively evaluated by novel three-dimensional (3D) multi-contrast vessel wall MRI sequences. The results indicated that after registration, the overlap of two boundaries from different sequences was more than 95%, and their mean surface distance was 0.12 mm, which improved the accuracy of registration effectively and laid the foundation for further component analysis.

Key words： carotid atherosclerosis vulnerable plaque magnetic resonance imaging registration

Received: 22 August 2016

PACS:

R318

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	Articles by authors
	Wu Yuxia
	Xu Xiaopan
	Zhang Xi
	Liu Yang
	Zhang Guopeng
	Chen Huijun
	Lu Hongbing
	Li Baojuan

Cite this article:

Wu Yuxia,Xu Xiaopan,Zhang Xi, et al. Multi-Contrast Magnetic Resonance Imaging Registration of Carotid Arteries[J]. Chinese Journal of Biomedical Engineering, 2017, 36(2): 129-135.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021. 2017. 02.001 OR http://cjbme.csbme.org/EN/Y2017/V36/I2/129

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