An image registration-based technique for noninvasive vascular elastography

Sina Valizadeh; Bahador Makkiabadi; Alireza Mirbagheri; Mehdi Soozande; Rayyan Manwar; Moein Mozaffarzadeh; Mohammadreza Nasiriavanaki

doi:10.1117/12.2291550

22 February 2018 An image registration-based technique for noninvasive vascular elastography

Sina Valizadeh, Bahador Makkiabadi, Alireza Mirbagheri, Mehdi Soozande, Rayyan Manwar, Moein Mozaffarzadeh, Mohammadreza Nasiriavanaki

Author Affiliations +

Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 104946S (2018) https://doi.org/10.1117/12.2291550
Event: SPIE BiOS, 2018, San Francisco, California, United States

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%.

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Sina Valizadeh, Bahador Makkiabadi, Alireza Mirbagheri, Mehdi Soozande, Rayyan Manwar, Moein Mozaffarzadeh, and Mohammadreza Nasiriavanaki "An image registration-based technique for noninvasive vascular elastography", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104946S (22 February 2018); https://doi.org/10.1117/12.2291550

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KEYWORDS

Ultrasonography

Image registration

Image resolution

Tissues

Imaging systems

Transducers

Distributed interactive simulations

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