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

Multispectral Optoacoustic Tomography (MSOT) resolves oxy- (HbO(2)) 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, vascula...

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Библиографические подробности
Опубликовано в: :Photoacoustics
Главные авторы: Chlis, Nikolaos-Kosmas, Karlas, Angelos, Fasoula, Nikolina-Alexia, Kallmayer, Michael, Eckstein, Hans-Henning, Theis, Fabian J., Ntziachristos, Vasilis, Marr, Carsten
Формат: Artigo
Язык:Inglês
Опубликовано: Elsevier 2020
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7644749/
https://ncbi.nlm.nih.gov/pubmed/33194545
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.pacs.2020.100203
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