Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87369
Title: Eigenspace-based minimum variance combined with delay multiply and sum beamformer : application to linear-array photoacoustic imaging
Authors: Pramanik, Manojit
Mahloojifar, Ali
Orooji, Mahdi
Periyasamy, Vijitha
Mozaffarzadeh, Moein
Keywords: Photoacoustic Imaging
Beamforming
DRNTU::Engineering::Chemical engineering
Issue Date: 2018
Source: Mozaffarzadeh, M., Mahloojifar, A., Periyasamy, V., Pramanik, M.,& Orooji, M. (2019). Eigenspace-Based Minimum Variance Combined With Delay Multiply and Sum Beamformer: Application to Linear-Array Photoacoustic Imaging. IEEE Journal of Selected Topics in Quantum Electronics, 25(1), 1-8. doi:10.1109/JSTQE.2018.2856584
Series/Report no.: IEEE Journal of Selected Topics in Quantum Electronics
Abstract: In photoacoustic imaging (PA), delay-and-sum (DAS) algorithm is the most commonly used beamformer. However, it leads to a low resolution and high level of sidelobes. Delay-multiply-and sum (DMAS) was introduced to provide lower sidelobes compared to DAS. In this paper, to improve the resolution and sidelobes of DMAS, a novel beamformer is introduced using the eigenspacebased minimum variance (EIBMV) method combined with DMAS, namely EIBMV-DMAS. It is shown that expanding the DMAS algebra leads to several terms, which can be interpreted as DAS. Using the EIBMV adaptive beamforming instead of the existing DAS (inside the DMAS algebra expansion) is proposed to improve the image quality. EIBMV-DMAS is evaluated numerically and experimentally. It is shown that EIBMV-DMAS outperforms DAS, DMAS, and EIBMV in terms of resolution and sidelobes. In particular, at the depth of 11 mm of the experimental images, EIBMV-DMAS results in about 113 dB and 50 dB sidelobe reduction, compared to DMAS and EIBMV, respectively. At the depth of 7 mm, for the experimental images, the quantitative results indicate that EIBMV-DMAS leads to improvement in signal-to-noise ratio of about 75% and 34%, compared to DMAS and EIBMV, respectively.
URI: https://hdl.handle.net/10356/87369
http://hdl.handle.net/10220/46309
ISSN: 1077-260X
DOI: http://dx.doi.org/10.1109/JSTQE.2018.2856584
Rights: © 2018 Institute of Electrical and Electronics Engineers (IEEE). This is the author created version of a work that has been peer reviewed and accepted for publication by IEEE Journal of Selected Topics in Quantum Electronics, Institute of Electrical and Electronics Engineers (IEEE). It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at:[http://dx.doi.org/10.1109/JSTQE.2018.2856584].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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