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Open Access Green as soon as Postprint is submitted to ZB.
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)
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
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,
Article Number: 128420D
Publisher
SPIE
Publishing Place
1000 20th St, Po Box 10, Bellingham, Wa 98227-0010 Usa
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Biological and Medical Imaging (IBMI)