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Proceedings Paper

An image registration-based technique for noninvasive vascular elastography
Author(s): Sina Valizadeh; Bahador Makkiabadi; Alireza Mirbagheri; Mehdi Soozande; Rayyan Manwar; Moein Mozaffarzadeh; Mohammadreza Nasiriavanaki
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Paper Abstract

Non-invasive vascular elastography is an emerging technique in vascular tissue imaging. During the past decades, several techniques have been suggested to estimate the tissue elasticity by measuring the displacement of the Carotid vessel wall. Cross correlation-based methods are the most prevalent approaches to measure the strain exerted in the wall vessel by the blood pressure. In the case of a low pressure, the displacement is too small to be apparent in ultrasound imaging, especially in the regions far from the center of the vessel, causing a high error of displacement measurement. On the other hand, increasing the compression leads to a relatively large displacement in the regions near the center, which reduces the performance of the cross correlation-based methods. In this study, a non-rigid image registration-based technique is proposed to measure the tissue displacement for a relatively large compression. The results show that the error of the displacement measurement obtained by the proposed method is reduced by increasing the amount of compression while the error of the cross correlationbased method rises for a relatively large compression. We also used the synthetic aperture imaging method, benefiting the directivity diagram, to improve the image quality, especially in the superficial regions. The best relative root-mean-square error (RMSE) of the proposed method and the adaptive cross correlation method were 4.5% and 6%, respectively. Consequently, the proposed algorithm outperforms the conventional method and reduces the relative RMSE by 25%.

Paper Details

Date Published: 22 February 2018
PDF: 6 pages
Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104946S (22 February 2018); doi: 10.1117/12.2291550
Show Author Affiliations
Sina Valizadeh, Tehran Univ. of Medical Sciences (Iran, Islamic Republic of)
Institute for Advanced Medical Technologies (Iran, Islamic Republic of)
Bahador Makkiabadi, Tehran Univ. of Medical Sciences (Iran, Islamic Republic of)
Institute for Advanced Medical Technologies (Iran, Islamic Republic of)
Alireza Mirbagheri, Tehran Univ. of Medical Sciences (Iran, Islamic Republic of)
Institute for Advanced Medical Technologies (Iran, Islamic Republic of)
Mehdi Soozande, Tehran Univ. of Medical Sciences (Iran, Islamic Republic of)
Institute for Advanced Medical Technologies (Iran, Islamic Republic of)
Rayyan Manwar, Wayne State Univ. (United States)
Moein Mozaffarzadeh, Institute for Advanced Medical Technologies (Iran, Islamic Republic of)
Tarbiat Modares Univ. (Iran, Islamic Republic of)
Mohammadreza Nasiriavanaki, Wayne State Univ. (United States)
Barbara Ann Karmanos Cancer Institute (United States)


Published in SPIE Proceedings Vol. 10494:
Photons Plus Ultrasound: Imaging and Sensing 2018
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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