Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146482
Title: Eigenspace-based minimum variance beamformer combined with sign coherence factor : application to linear-array photoacoustic imaging
Authors: Shamekhi, Sadaf
Periyasamy, Vijitha
Pramanik, Manojit
Mehrmohammadi, Mohammad
Mohammadzadeh Asl, Babak
Keywords: Engineering::Bioengineering
Issue Date: 2020
Source: Shamekhi, S., Periyasamy, V., Pramanik, M., Mehrmohammadi, M., & Mohammadzadeh Asl, B. (2020). Eigenspace-based minimum variance beamformer combined with sign coherence factor : application to linear-array photoacoustic imaging. Ultrasonics, 108, 106174-. doi:10.1016/j.ultras.2020.106174
Journal: Ultrasonics
Abstract: Photoacoustic (PA) imaging combining the advantages of high resolution of ultrasound imaging and high contrast of optical imaging provides images with good quality. PA imaging often suffers from disadvantages such as clutter noises and decreased signal-to-noise-ratio at higher depths. One studied method to reduce clutter noises is to use weighting factors such as coherence factor (CF) and its modified versions that improve resolution and contrast of images. In this study, we combined the Eigen-space based minimum variance (EIBMV) beamformer with the sign coherence factor (SCF) and show the ability of these methods for noise reduction when they are used in combination with each other. In addition, we compared the proposed method with delay-and-sum (DAS) and minimum variance (MV) beamformers in simulated and experimental studies. The simulation results show that the proposed EIBMV-SCF method improves the SNR about 94 dB, 87.65 dB, and 62.29 dB compared to the DAS, MV, and EIBMV, respectively, and the corresponding improvements were 79.37/34.43 dB, 77.25/26.96 dB, and 33.19/25.56 dB in the ex vivo/in vivo experiments.
URI: https://hdl.handle.net/10356/146482
ISSN: 0041-624X
DOI: 10.1016/j.ultras.2020.106174
Rights: © 2020 Elsevier B.V. All rights reserved. This paper was published in Ultrasonics and is made available with permission of Elsevier B.V.
Fulltext Permission: embargo_20221231
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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