Presentation
9 March 2023 PATATO: a Python Photoacoustic Tomography Analysis Toolkit
Author Affiliations +
Abstract
We developed an open-source python toolkit for photoacoustic image (PAI) reconstruction and processing. The toolkit implements GPU-accelerated processing algorithms including preprocessing, image reconstruction (backprojection and model-based) and multispectral analysis (linear spectral unmixing and learned spectral decolouring). We implemented methods for the advanced analysis of longitudinal PA data, including standardised analysis of oxygen-enhanced and dynamic contrast enhanced MSOT data. The toolkit currently works with pre-clinical, clinical and simulated PA systems, integrating with the IPASC open data format, simulated datasets from the SIMPA toolkit and iThera Medical MSOT devices. It can easily be extended to support other algorithms and systems.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Else, Janek Gröhl, Lina Hacker, and Sarah E. Bohndiek "PATATO: a Python Photoacoustic Tomography Analysis Toolkit", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123790T (9 March 2023); https://doi.org/10.1117/12.2648830
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KEYWORDS
Photoacoustic spectroscopy

Photoacoustic tomography

Data analysis

Data processing

Image restoration

Medical devices

Model-based design

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