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Author(s) -
Liu Jianting,
Zhu Jiang,
Zhu Lianqing,
Yang Qiang,
Fan Fan,
Zhang Fan
Publication year - 2020
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.202070024
Subject(s) - neuroimaging , computation , optical coherence tomography angiography , image quality , computer science , zhàng , optical coherence tomography , artificial intelligence , noise (video) , algorithm , image (mathematics) , optics , psychology , neuroscience , physics , china , law , political science
Four metrics including vascular connectivity, contrast‐to‐noise ratio, signal‐to‐noise ratio and processing time were developed to quantitatively assess the performance of seven optical coherence tomography angiography (OCTA) algorithms in image quality and computation speed for neuroimaging. Quantitative assessment of the algorithms provides suggestions for the selection of appropriate OCTA algorithms in the applications of neuroimaging. Further details can be found in the article by Jianting Liu, Jiang Zhu, Lianqing Zhu, Qiang Yang, Fan Fan, and Fan Zhang ( e202000181 ).