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

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

Chair of Biological Imaging

Helmholtz Zentrum München German Research Center for Environmental Health
Technical University of Munich

Research output: Contribution to journal › Conference article › peer-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 language	English
Article number	ES1C.1
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	2021 European Conferences on Biomedical Optics, ECBO 2021 - Virtual, Online, Germany Duration: 20 Jun 2021 → 24 Jun 2021

Cite this

@article{3eb8570be9d44efdb8d423e05c1f0c1f,

title = "Deep learning based electrical noise removal for localized spectral optoacoustic contrast in deep tissue",

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.",

author = "Christoph Dehner and Ivan Olefir and Chowdhury, \{Kaushik Basak\} and Dominik J{\"u}stel and Vasilis Ntziachristos",

note = "Publisher Copyright: {\textcopyright}2021TheAuthor(s); 2021 European Conferences on Biomedical Optics, ECBO 2021 ; Conference date: 20-06-2021 Through 24-06-2021",

year = "2021",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Deep learning based electrical noise removal for localized spectral optoacoustic contrast in deep tissue

AU - Dehner, Christoph

AU - Olefir, Ivan

AU - Chowdhury, Kaushik Basak

AU - Jüstel, Dominik

AU - Ntziachristos, Vasilis

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85119423809

M3 - Conference article

AN - SCOPUS:85119423809

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - ES1C.1

T2 - 2021 European Conferences on Biomedical Optics, ECBO 2021

Y2 - 20 June 2021 through 24 June 2021

ER -

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

Abstract

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