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14 February 2018 Enhanced linear-array photoacoustic beamforming using modified coherence factor
Moein Mozaffarzadeh, Yan Yan, Mohammad Mehrmohammadi, Bahador Makkiabadi
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Journal of Biomedical Optics, Vol. 23, Issue 2, 026005 (February 2018). https://doi.org/10.1117/1.JBO.23.2.026005
Abstract
Photoacoustic imaging (PAI) is a promising medical imaging modality providing the spatial resolution of ultrasound imaging and the contrast of optical imaging. For linear-array PAI, a beamformer can be used as the reconstruction algorithm. Delay-and-sum (DAS) is the most prevalent beamforming algorithm in PAI. However, using DAS beamformer leads to low-resolution images as well as high sidelobes due to nondesired contribution of off-axis signals. Coherence factor (CF) is a weighting method in which each pixel of the reconstructed image is weighted, based on the spatial spectrum of the aperture, to mainly improve the contrast. We demonstrate that the numerator of the formula of CF contains a DAS algebra and propose the use of a delay-multiply-and-sum beamformer instead of the available DAS on the numerator. The proposed weighting technique, modified CF (MCF), has been evaluated numerically and experimentally compared to CF. It was shown that MCF leads to lower sidelobes and better detectable targets. The quantitative results of the experiment (using wire targets) show that MCF leads to for about 45% and 40% improvement, in comparison with CF, in the terms of signal-to-noise ratio and full-width-half-maximum, respectively.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2018/$25.00 © 2018 SPIE
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Moein Mozaffarzadeh, Yan Yan, Mohammad Mehrmohammadi, and Bahador Makkiabadi "Enhanced linear-array photoacoustic beamforming using modified coherence factor," Journal of Biomedical Optics 23(2), 026005 (14 February 2018). https://doi.org/10.1117/1.JBO.23.2.026005
Received: 28 November 2017; Accepted: 25 January 2018; Published: 14 February 2018
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KEYWORDS
Signal to noise ratio
Phased arrays
Signal detection
Image quality
Reconstruction algorithms
Photoacoustic spectroscopy
Imaging systems
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