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.
|