Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 2011, Volume 153, Book 1, Pages 17–37 (Mi uzku901)  
Quantitative diffusion magnetic resonance imaging in vivo

K. A. Ilyasov

Kazan (Volga Region) Federal University
Full-text PDF (622 kB)
References:
PDF
HTML
Abstract: The paper deals with physical and mathematical basics for diffusion weighted MR imaging and analysis. Different sources of image distortions and corresponding methods of their correction are discussed. When accurately measured, quantitative diffusion parameters can indicate pathologies in tissue microstructure and serve as a clinical diagnostic tool for different diseases such as, for example, white matter degeneration.
Keywords: nuclear magnetic resonance, MRI, diffusion weighted MRI, diffusion tensor MRI, diffusion tensor, eddy currents distortions, correction of distortions, quantitative analysis, measurement calibration.
Received: 06.07.2010
Document Type: Article
UDC: 539.143.43
Language: Russian
Citation: K. A. Ilyasov, “Quantitative diffusion magnetic resonance imaging in vivo”, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 153, no. 1, Kazan University, Kazan, 2011, 17–37
Citation in format AMSBIB
\Bibitem{Ily11}
\by K.~A.~Ilyasov
\paper Quantitative diffusion magnetic resonance imaging in vivo
\serial Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki
\yr 2011
\vol 153
\issue 1
\pages 17--37
\publ Kazan University
\publaddr Kazan
\mathnet{http://mi.mathnet.ru/uzku901}
Linking options:
  • https://www.mathnet.ru/eng/uzku901
  • https://www.mathnet.ru/eng/uzku/v153/i1/p17
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki
    Statistics & downloads:
    Abstract page:585
    Full-text PDF :241
    References:45
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2025