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Computer Optics, 2018, Volume 42, Issue 4, Pages 688–694
DOI: https://doi.org/10.18287/2412-6179-2018-42-4-688-694 (Mi co550) 		 
This article is cited in 4 scientific papers (total in 4 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Method of nephroscintigraphic dynamic images analysis

A. V. Gaidelab, A. V. Kapishnikovc, Yu. S. Pyshkinac, A. V. Kolsanovc, A. G. Khramova

a Samara National Research University, 443086, Russia, Samara, Moskovskoye shosse 34
b IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS, 443001, Samara, Russia, Molodogvardeyskaya 151
c Samara State Medical University, Samara, Russia
Full-text PDF (489 kB) Citations (4)
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DOI: https://doi.org/10.18287/2412-6179-2018-42-4-688-694
URL: https://www.computeroptics.smr.ru/KO/Annot/KO42-4/420417.html
Abstract: We propose a method for automatic processing of dynamic nephroscintigrams based on fitting the renogram curve by an exponential function. The method makes it possible to obtain objective parameters of the kidney condition. The performance of the method is studied on a set of radionuclide images of a transplant. Results of clinical studies confirming the diagnostic efficiency of the developed approach are presented. Analysis of the kinetics of the nephrotropic indicator provides an accurate assessment of the functional status of the transplanted kidney. Two numerical parameters are revealed that offer a higher diagnostic efficiency when calculated from the constructed model compared to when they are calculated from the original renogram.
Keywords: image processing, pattern recognition, scintigraphy, nephrology, transplantation.
Funding agency Grant number
Russian Foundation for Basic Research 16-41-630761 ð_à
Russian Academy of Sciences - Federal Agency for Scientific Organizations 007-ÃÇ/×3363/26
The work was partially funded by Russian Foundation of Basic Research grant 16-41-630761 and the Ministry of Science and Higher Education within the State assignment FSRC «Crystallog-raphy and Photonics» RAS (No 007-ÃÇ/×3363/26).
Received: 09.04.2018
Accepted: 04.07.2018
Document Type: Article
Language: Russian
Citation: A. V. Gaidel, A. V. Kapishnikov, Yu. S. Pyshkina, A. V. Kolsanov, A. G. Khramov, “Method of nephroscintigraphic dynamic images analysis”, Computer Optics, 42:4 (2018), 688–694
Citation in format AMSBIB
\Bibitem{GaiKapPys18}
\by A.~V.~Gaidel, A.~V.~Kapishnikov, Yu.~S.~Pyshkina, A.~V.~Kolsanov, A.~G.~Khramov
\paper Method of nephroscintigraphic dynamic images analysis
\jour Computer Optics
\yr 2018
\vol 42
\issue 4
\pages 688--694
\mathnet{http://mi.mathnet.ru/co550}
\crossref{https://doi.org/10.18287/2412-6179-2018-42-4-688-694}
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    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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