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Application of Demons algorithm in ultrasound elastography using B-mode ultrasound images
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Paper Abstract

UltraSound Elastography (USE) has been widely used to obtain mechanical properties of tissues. Radio frequency (RF) data is usually used in USE to estimate the displacement. However, RF data is not available in all ultrasound imaging devices. B-mode images which are basically the envelope of the RF data are the most well-known output of the common ultrasound imaging devices. In B-mode images, the phase information of RF data is lost. Consequently, USE can be more challenging and the strain image quality would be degraded. The aim of this paper is to employ Demons algorithm, which is a powerful non-rigid image registration algorithm, to estimate displacement using B-mode images. In USE, the post-compression image may have large deformations in axial direction which deteriorates the Demons algorithm performance. In order to compensate the large deformations, an optimization algorithm is proposed to find and compensate the mean value axial deformation. Experimental and numerical phantoms are used to verify the algorithm performance in normal and severe situations. The results are compared with the common normalized cross correlation (NCC) algorithm. The results confirm that Demons algorithm is an appropriate algorithm for USE for B-mode images considering the fact that phase information are not available.

Paper Details

Date Published: 27 February 2019
PDF: 7 pages
Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108786P (27 February 2019); doi: 10.1117/12.2508817
Show Author Affiliations
Ali Kafaei Zad Tehrani, Amirkabir Univ. of Technology (Iran, Islamic Republic of)
Research Ctr. for Biomedical Technologies and Robotics (Iran, Islamic Republic of)
Moein Mozaffarzadeh, Tarbiat Modares Univ. (Iran, Islamic Republic of)
Research Ctr. for Biomedical Technologies and Robotics (Iran, Islamic Republic of)
Zahra Mardi, Tarbiat Modares Univ. (Iran, Islamic Republic of)
Seyed Hani Hozhabr, Research Ctr. for Biomedical Technologies and Robotics (Iran, Islamic Republic of)
Mohammad Mehrmohammadi, Wayne State Univ. (United States)
Bahador Makkiabadi, Tehran Univ. of Medical Sciences (Iran, Islamic Republic of)
Research Ctr. for Biomedical Technologies and Robotics (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 10878:
Photons Plus Ultrasound: Imaging and Sensing 2019
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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