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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationOpto-Acoustic Methods and Applications in Biophotonics V
EditorsChulhong Kim, Jan Laufer, Roger J. Zemp
PublisherSPIE
ISBN (Electronic)9781510647121
DOIs
StatePublished - 2021
EventOpto-Acoustic Methods and Applications in Biophotonics V 2021 - Virtual, Online, Germany
Duration: 20 Jun 202124 Jun 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11923
ISSN (Print)1605-7422

Conference

ConferenceOpto-Acoustic Methods and Applications in Biophotonics V 2021
Country/TerritoryGermany
CityVirtual, Online
Period20/06/2124/06/21

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