2D Cross Correlation Method in Elastography Based on Weighted Phase Separation

doi:10.7517/j.issn.1674-0475.2016.01.102

Abstract

Abstract:

Elastography is an imaging method which is able to display the distribution of elastic properties of soft tissue, and provide valuable diagnostic information. In this paper, we compared 1D motion estimation with 2D motion estimation for elastography and present a framework combined with weighted phase separation (WPS) and 2D cross-correlation for displacement estimation. 2D cross-correlation was first applied to the RF signals and then used WPS method to calculate a more precision axial displacements. We also compared the images qualities and efficiency of 1D algorithm and 2D algorithm by simulations and phantom experiments. It is shown that our method is fast and robust to relatively complex tissue motions and could improve SNR_e. This method will have some poetical for the latter experiments and clinical applications.

Key words: elstography, motion estimation, 2D cross-correlation, prior estimation, weighted phase separation

CUI Yakun, JIAO Yang, LÜ Tiejun, GU Tianming, CUI Xiaoyao. 2D Cross Correlation Method in Elastography Based on Weighted Phase Separation[J]. Imaging Science and Photochemistry, 2016, 34(1): 102-110.

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