ArticleBiomedical optics express2024
Enhancing image reconstruction in photoacoustic imaging using spatial coherence mean-to-standard-deviation factor beamforming.
Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation.Photoacoustics · 2026Article
- Tumor Detection and Characterization Using Microwave Imaging Technique-An Experimental Calibration Approach.Sensors (Basel, Switzerland) · 2026Article
- Advances in Technology and Applications of Optical Sensing and Imaging for Biomedicine: introduction to the feature issue.Biomedical optics express · 2025Article
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8 authors.
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Abstract
In photoacoustic imaging (PAI), a delay-and-sum (DAS) beamforming reconstruction algorithm is widely used due to its ease of implementation and fast execution. However, it is plagued by issues such as high sidelobe artifacts and low contrast, that significantly hinder the ability to differentiate various structures in the reconstructed images. In this study, we propose an adaptive weighting factor called spatial coherence mean-to-standard deviation factor (scMSF) in DAS, which is extended into the spatial frequency domain. By combining scMSF with a minimum variance (MV) algorithm, the clutter level is reduced, thereby enhancing the image contrast. Quantitative results obtained from the phantom experiment demonstrate that our proposed method improves contrast ratio (CR) by 30.15 dB and signal-to-noise ratio (SNR) by 8.62 dB compared to DAS while also improving full-width at half maxima (FWHM) by 56%. From the
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