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Three-dimensional photoacoustic tomography using delay multiply and sum beamforming algorithm
Author(s): Roya Paridar; Moein Mozaffarzadeh; Ali Mahloojifar; Mohammadreza Nasiriavanaki; Mahdi Orooji
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Paper Abstract

Photoacoustic imaging (PAI), is a promising medical imaging technique that provides the high contrast of the optical imaging and the resolution of ultrasound (US) imaging. Among all the methods, Three-dimensional (3D) PAI provides a high resolution and accuracy. One of the most common algorithms for 3D PA image reconstruction is delay-and-sum (DAS). However, the quality of the reconstructed image obtained from this algorithm is not satisfying, having high level of sidelobes and a wide mainlobe. In this paper, delay-multiply-andsum (DMAS) algorithm is suggested to overcome these limitations in 3D PAI. It is shown that DMAS algorithm is an appropriate reconstruction technique for 3D PAI and the reconstructed images using this algorithm are improved in the terms of the width of mainlobe and sidelobes, compared to DAS. Also, the quantitative results show that DMAS improves signal-to-noise ratio (SNR) and full-width-half-maximum (FW HM) for about 25 dB and 0.2 mm, respectively, compared to DAS.

Paper Details

Date Published: 22 February 2018
PDF: 7 pages
Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 1049440 (22 February 2018); doi: 10.1117/12.2291546
Show Author Affiliations
Roya Paridar, Tarbiat Modares Univ. (Iran, Islamic Republic of)
Moein Mozaffarzadeh, Tarbiat Modares Univ. (Iran, Islamic Republic of)
Ali Mahloojifar, Tarbiat Modares Univ. (Iran, Islamic Republic of)
Mohammadreza Nasiriavanaki, Wayne State Univ. (United States)
Mahdi Orooji, Tarbiat Modares Univ. (Iran, Islamic Republic of)


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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