ArticleBMC biomedical engineering2019
Image improvement in linear-array photoacoustic imaging using high resolution coherence factor weighting technique.
Article in BMC biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Tumor Detection and Characterization Using Microwave Imaging Technique-An Experimental Calibration Approach.Sensors (Basel, Switzerland) · 2026Article
- Needle hydrophone-based photoacoustic microscopy with experimentally measured impulse response for improved depth of focus.Biomedical optics express · 2025Article
- Restoring the imaging quality of circular transducer array-based PACT using synthetic aperture focusing technique integrated with 2nd-derivative-based back projection scheme.Photoacoustics · 2023Article
- Evaluation of Cholesterol Thickness of Blood Vessels Using Photoacoustic Technology.BioMed research international · 2023Article
- Achieving depth-independent lateral resolution in AR-PAM using the synthetic-aperture focusing technique.Photoacoustics · 2022Review
- Subaperture Processing-Based Adaptive Beamforming for Photoacoustic Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Photoacoustic tomography reconstruction using lag-based delay multiply and sum with a coherence factor improves in vivo ovarian cancer diagnosis.Biomedical optics express · 2021Article
- Spatiotemporal Coherence Weighting for In Vivo Cardiac Photoacoustic Image Beamformation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Miniaturized phased-array ultrasound and photoacoustic endoscopic imaging system.Photoacoustics · 2019Article
- Efficient nonlinear beamformer based on P'th root of detected signals for linear-array photoacoustic tomography: application to sentinel lymph node imaging.Journal of biomedical optics · 2018Article
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Authors and funding
4 authors.
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Abstract
backgroundIn Photoacoustic imaging (PAI), the most prevalent beamforming algorithm is delay-and-sum (DAS) due to its simple implementation. However, it results in a low quality image affected by the high level of sidelobes. Coherence factor (CF) can be used to address the sidelobes in the reconstructed images by DAS, but the resolution improvement is not good enough, compared to the high resolution beamformers such as minimum variance (MV). In this paper, it is proposed to use high-resolution-CF (HRCF) weighting technique in which MV is used instead of the existing DAS in the formula of the conventional CF.
resultsThe higher performance of HRCF is proved numerically and experimentally. The quantitative results obtained with the simulations show that at the depth of 40
conclusionProposed method provides a high resolution along with a low level of sidelobes for PAI.
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