ArticlePhotoacoustics2024
Spiral scanning and self-supervised image reconstruction enable ultra-sparse sampling multispectral photoacoustic tomography.
Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Optoacoustic brain imaging: A systematic review and field mapping.Photoacoustics · 2026Article
- Advanced methods of wearable ultrasound and photoacoustic imaging devices: A review.Photoacoustics · 2026Article
- Robot-assisted wide-amplitude oscillatory photoacoustic scanning for three-dimensional human peripheral vascular imaging: A preliminary feasibility study.Photoacoustics · 2026Article
- Multi-wavelength graph convolutional network for high-performance sparse multispectral optoacoustic tomography.Photoacoustics · 2025Article
- Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation.Photoacoustics · 2025Article
- Limited-view photoacoustic imaging reconstruction via high-quality self-supervised neural representation.Photoacoustics · 2025Article
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Authors and funding
7 authors.
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Abstract
Multispectral photoacoustic tomography (PAT) is an imaging modality that utilizes the photoacoustic effect to achieve non-invasive and high-contrast imaging of internal tissues but also molecular functional information derived from multi-spectral measurements. However, the hardware cost and computational demand of a multispectral PAT system consisting of up to thousands of detectors are huge. To address this challenge, we propose an ultra-sparse spiral sampling strategy for multispectral PAT, which we named U3S-PAT. Our strategy employs a sparse ring-shaped transducer that, when switching excitation wavelengths, simultaneously rotates and translates. This creates a spiral scanning pattern with multispectral angle-interlaced sampling. To solve the highly ill-conditioned image reconstruction problem, we propose a self-supervised learning method that is able to introduce structural information shared during spiral scanning. We simulate the proposed U3S-PAT method on a commercial PAT system and conduct
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