ArticlePhotoacoustics2022
PATLAB: A graphical computational software package for photoacoustic computed tomography research.
Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Challenges and advances in two-dimensional photoacoustic computed tomography: a review.Journal of biomedical optics · 2024Review
- Comprehensive framework of GPU-accelerated image reconstruction for photoacoustic computed tomography.Journal of biomedical optics · 2024Article
- Quantitative photoacoustic tomography: modeling and inverse problems.Journal of biomedical optics · 2024Review
- Photoacoustic tomography as a method to estimate the optical fluence distribution in turbid media.Biomedical optics express · 2023Article
- Investigating the feasibility of a hand-held photoacoustic imaging probe for margin assessment during breast conserving surgery.Photoacoustics · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photoacoustic tomography (PAT) provides high resolution optical images of tissue at depths of up to several centimetres. This modality has been of interest to researchers for at least 30 years and is still the subject of intensive research. However, PAT researchers lack access to a comprehensive open-source graphical simulation and reconstruction software package. In this article, we introduce PATLAB, an open-source MATLAB-based graphical software package that can perform both PAT simulation and image reconstruction. PATLAB is simple to use yet is capable of complex PAT data processing tasks and offers advanced users a framework to build and test new methods.
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Registered trials
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