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Front Cover: Vascular tree extraction for photoacoustic microscopy and imaging of cat primary visual cortex (J. Biophotonics 6‐7/2017)
Publication year - 2017
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201770060
Subject(s) - photoacoustic imaging in biomedicine , vascular network , tree (set theory) , visual cortex , biophotonics , visualization , microscopy , materials science , biomedical engineering , computer science , anatomy , optics , biology , artificial intelligence , physics , medicine , neuroscience , mathematics , mathematical analysis , laser
Photoacoustic imaging allows label‐free, three‐dimensional visualization of blood vessel morphology down to capillary level. By virtue of the acquired high contrast blood vessel images, a vascular tree extraction method based on the ray‐casting concept could automatically track complex cortical blood vessel networks of cats with numerous crossovers and branches, while extracting important parameters of the whole vascular tree, such as the vessel diameters, the center lines and three‐dimensional orientations. Further details can be found in the article by Qian Li et al. on pp. 780–791.