Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87369
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dc.contributor.authorMozaffarzadeh, Moeinen_US
dc.contributor.authorMahloojifar, Alien_US
dc.contributor.authorPeriyasamy, Vijithaen_US
dc.contributor.authorPramanik, Manojiten_US
dc.contributor.authorOrooji, Mahdien_US
dc.date.accessioned2018-10-12T08:28:16Zen
dc.date.accessioned2019-12-06T16:40:26Z-
dc.date.available2018-10-12T08:28:16Zen
dc.date.available2019-12-06T16:40:26Z-
dc.date.copyright2018en
dc.date.issued2018-
dc.identifier.citationMozaffarzadeh, 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.2018.2856584en_US
dc.identifier.issn1077-260Xen_US
dc.identifier.urihttps://hdl.handle.net/10356/87369-
dc.description.abstractIn 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.en_US
dc.format.extent8 p.en
dc.language.isoenen_US
dc.relation.ispartofIEEE Journal of Selected Topics in Quantum Electronicsen_US
dc.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].en_US
dc.subjectPhotoacoustic Imagingen_US
dc.subjectBeamformingen_US
dc.subjectDRNTU::Engineering::Chemical engineeringen_US
dc.titleEigenspace-based minimum variance combined with delay multiply and sum beamformer : application to linear-array photoacoustic imagingen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.identifier.doi10.1109/JSTQE.2018.2856584-
dc.identifier.doi208641-
dc.description.versionAccepted versionen_US
dc.identifier.rims208641en
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