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Computer Optics, 2013, Volume 37, Issue 4, Pages 511–535 (Mi co630)  
ANALYTICAL REVIEW

Methods for digital analysis of human vascular system. Literature review

N. Yu. Ilyasovaab

a Image Processing Systems Institute of the RAS
b S.P. Korolyov Samara State Aerospace University (National Research University)
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URL: https://www.computeroptics.smr.ru/KO/Annot/KO37-4/370416.html
Abstract: A review of key approaches to the digital analysis of the human vascular system images is given. We outline major stages of diagnostic image processing and analyze different approaches to the extraction and quantification of blood vessel morphological features.
Keywords: human vascular system, image processing.
Funding agency Grant number
Russian Foundation for Basic Research 12-01-00237-а
Ministry of Education and Science of the Russian Federation НШ-4128.2012.9
Russian Academy of Sciences - Federal Agency for Scientific Organizations
The work was supported by RFBR grants 12-01-00237-a, a grant from the President of the Russian Federation for the support of the leading scientific school NSh-4128.2012.9, and the basic research program of the Russian Academy of Sciences-ONIT6.
Received: 01.09.2013
Document Type: Article
Language: Russian
Citation: N. Yu. Ilyasova, “Methods for digital analysis of human vascular system. Literature review”, Computer Optics, 37:4 (2013), 511–535
Citation in format AMSBIB
\Bibitem{Ily13}
\by N.~Yu.~Ilyasova
\paper Methods for digital analysis of human vascular system. Literature review
\jour Computer Optics
\yr 2013
\vol 37
\issue 4
\pages 511--535
\mathnet{http://mi.mathnet.ru/co630}
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