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Dehner, C. ; Ntziachristos, V. ; Jüstel, D. ; Zahnd, G.

Deep model-based optoacoustic image reconstruction (DeepMB).

In: (Photons Plus Ultrasound: Imaging and Sensing 2024, 28-31 January 2024, San Francisco). 1000 20th St, Po Box 10, Bellingham, Wa 98227-0010 Usa: SPIE, 2024.:128420D (Proc. SPIE ; 12842)
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Multispectral optoacoustic tomography requires real-time image feedback during clinical use. Herein, we present DeepMB, a deep learning framework to express the model-based reconstruction operator with a deep neural network and reconstruct high-quality optoacoustic images from arbitrary experimental input data at speeds that enable live imaging (31ms per image).
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Publication type Article: Conference contribution
Keywords Inverse Problems ; Model-based Reconstruction ; Multispectral Optoacoustic Tomography (msot) ; Real-time Imaging ; Synthesized Training Data; Response Characterization Method
Language english
Publication Year 2024
HGF-reported in Year 2024
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
Conference Title Photons Plus Ultrasound: Imaging and Sensing 2024
Conference Date 28-31 January 2024
Conference Location San Francisco
Journal Proceedings of SPIE
Quellenangaben Volume: 12842, Issue: , Pages: , Article Number: 128420D Supplement: ,
Publisher SPIE
Publishing Place 1000 20th St, Po Box 10, Bellingham, Wa 98227-0010 Usa
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505500-001
DOI 10.1117/12.3000893
WOS ID 001234513800012
Scopus ID 85194484963
Erfassungsdatum 2024-06-07
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