采用自动选择参照图校正肝超声造影图像呼吸运动

doi:10.3969/j.issn.0258-8021.2017.06.005

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Abstract The selection of reference image is one of the key roles for the efficiency of respiratory motion correction method based on liver contrast-enhance ultrasound (CEUS) image sequences. The selection method is worthwhile exploring. First, the original high-dimensional ultrasound data was mapped into a two-dimensional space by using Laplacian eigenmaps. Then, the cluster analysis was adopted using k-means, and the optimal ultrasound reference image was obtained for the respiratory motion correction. Finally, the effectiveness of this proposed method was validated with 18 CEUS cases of VX2 tumor implanted in the rabbit liver. Before correction, the average of total mean structural similarity and the average of mean correlation coefficient from image sequences were 0.45±0.11 and 0.67±0.16,respectively. After correction, the two parameters were increased obviously (P<0.001) as 0.59±0.11 and 0.81±0.11 respectively. The average of deviation valve (DV) from image sequences before correction was 92.16±18.12. After correction, the average of DV was reduced to one-third of the original value. The proposed respiratory motion method improved the accuracy of the quantitative analysis of CEUS by using the reference image based on the traditionally manual selection as well as operated simply, therefore is of potentials in the clinical application.

Key words： contrast-enhanced ultrasound reference image respiratory motion manifold learning VX2 tumor

Received: 28 July 2016

PACS:

R318

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	Articles by authors
	Zhang Ji
	Zhang Yanrong
	Chen Juan
	Chen Xiaohui
	Zhong Xiaoli

Cite this article:

Zhang Ji,Zhang Yanrong,Chen Juan, et al. Respiratory Motion Correction of Liver Contrast-Enhanced Ultrasound Sequences by Selecting Reference Image Automatically[J]. Chinese Journal of Biomedical Engineering, 2017, 36(6): 670-677.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2017.06.005 OR http://cjbme.csbme.org/EN/Y2017/V36/I6/670

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