ArticleBiomedical optics express2018
Photoacoustic image formation based on sparse regularization of minimum variance beamformer.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Development of a Dual Photoacoustic-Ultrasound Imaging System: Current Status and Future Perspectives.Sensors (Basel, Switzerland) · 2026Review
- Achieving depth-independent lateral resolution in AR-PAM using the synthetic-aperture focusing technique.Photoacoustics · 2022Review
- Improving Minimum Variance Beamforming with Sub-Aperture Processing for Photoacoustic Imaging.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Subaperture Processing-Based Adaptive Beamforming for Photoacoustic Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo.Photoacoustics · 2020Article
- The double-stage delay-multiply-and-sum image reconstruction method improves imaging quality in a LED-based photoacoustic array scanner.Photoacoustics · 2018Article
- 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
Delay-and-sum (DAS) is the most common algorithm used in photoacoustic (PA) image formation. However, this algorithm results in a reconstructed image with a wide mainlobe and high level of sidelobes. Minimum variance (MV), as an adaptive beamformer, overcomes these limitations and improves the image resolution and contrast. In this paper, a novel algorithm, named Modified-Sparse-MV (MS-MV), is proposed in which a
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