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Title:

A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography.

Document type:
Zeitschriftenaufsatz
Author(s):
Chlis, Nikolaos-Kosmas; Karlas, Angelos; Fasoula, Nikolina-Alexia; Kallmayer, Michael; Eckstein, Hans-Henning; Theis, Fabian J; Ntziachristos, Vasilis; Marr, Carsten
Abstract:
Multispectral Optoacoustic Tomography (MSOT) resolves oxy- (HbO2) and deoxy-hemoglobin (Hb) to perform vascular imaging. MSOT suffers from gradual signal attenuation with depth due to light-tissue interactions: an effect that hinders the precise manual segmentation of vessels. Furthermore, vascular assessment requires functional tests, which last several minutes and result in recording thousands of images. Here, we introduce a deep learning approach with a sparse-UNET (S-UNET) for automatic vasc...     »
Journal title:
Photoacoustics
Journal title abbreviation:
Photoacoustics
Year:
2020
Journal volume:
20
Fulltext / DOI:
doi:10.1016/j.pacs.2020.100203
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/33194545
WWW:
https://www.sciencedirect.com/science/article/pii/S2213597920300434
Print-ISSN:
2213-5979
TUM Institution:
Fachgebiet Gefäßchirurgie (Prof. Eckstein); Lehrstuhl für Biologische Bildgebung - Zusammenarbeit mit dem Helmholtz-Zentrum München (Prof. Ntziachristos)
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