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Validating processing algorithms for photoacoustic images is complex due to a gap between simulated and experimental data. To address this challenge, we present a multi-device dataset of well-characterised phantoms and investigate the simulation gap using a supervised calibration of the forward model. We use N=15 phantoms for calibration and systematically compare simulated and experimental data from the remaining N=15 phantoms. Our results highlight the importance of the device geometry, impulse response, and noise for accurate simulation. By reducing the simulation gap and providing an open dataset, our work will contribute to advancing data-driven photoacoustic image processing techniques.
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Janek Gröhl, Sandeep Kumar Kalva, Berkan Lafci, Francesca Di Cecio, Daniel Razansky, Sarah E. Bohndiek, "Bridging the simulation gap in photoacoustic imaging by calibration with tissue-mimicking phantoms," Proc. SPIE PC12842, Photons Plus Ultrasound: Imaging and Sensing 2024, PC1284218 (13 March 2024); https://doi.org/10.1117/12.3001377