Deep-learning-based electrical noise removal for localized spectral optoacoustic contrast in deep tissue

Christoph Dehner; Ivan Olefir; Kaushik Basak Chowdhury; Dominik Jüstel; Vasilis Ntziachristos

doi:10.1117/12.2614318

9 December 2021 Deep-learning-based electrical noise removal for localized spectral optoacoustic contrast in deep tissue

Christoph Dehner, Ivan Olefir, Kaushik Basak Chowdhury, Dominik Jüstel, Vasilis Ntziachristos

Author Affiliations +

Proceedings Volume 11923, Opto-Acoustic Methods and Applications in Biophotonics V; 1192302 (2021) https://doi.org/10.1117/12.2614318
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

Image contrast in multispectral optoacoustic tomography can be reduced by electrical noise. We present a deep learning method to remove electrical noise from optoacoustic signals and thereby significantly enhance morphological and spectral contrast.

Citation Download Citation

Christoph Dehner, Ivan Olefir, Kaushik Basak Chowdhury, Dominik Jüstel, and Vasilis Ntziachristos "Deep-learning-based electrical noise removal for localized spectral optoacoustic contrast in deep tissue", Proc. SPIE 11923, Opto-Acoustic Methods and Applications in Biophotonics V, 1192302 (9 December 2021); https://doi.org/10.1117/12.2614318

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