DocumentCode
2585614
Title
Fractional order NMR reflects anomalous diffusion
Author
Magin, Richard L. ; Gao, Qing ; Neuberger, Thomas ; Akpa, Belinda ; Zhou, Xiaohong Joe ; Webb, Andrew
Author_Institution
Dept. of Bioeng., Univ. of Illinois at Chicago, Chicago, IL, USA
fYear
2009
fDate
22-25 Sept. 2009
Firstpage
1
Lastpage
7
Abstract
Recently, we proposed a new diffusion model in nuclear magnetic resonance (NMR) by solving the Bloch-Torrey equation using fractional order calculus with respect to time and space (Magin, RL, et al, J Magn Reson 2008; 190:255-270). This model yields a new set of parameters to describe anomalous diffusion: diffusion coefficient D, fractional order derivative in space Ã, and a spatial variable ¿ (in units of ¿m). In this study, we demonstrate that fractional calculus (FC) can be successfully applied to analyze diffusion images of sephadex gels and brain tissues from healthy humans in vivo. Although the biophysical basis of à and ¿ remains to be understood, the perspectives of using these parameters to characterize the environment for molecular diffusion may lead to a new way to investigate tissue structural changes in disease.
Keywords
biological tissues; biomedical MRI; brain; diffusion; diseases; medical image processing; molecular biophysics; anomalous diffusion; biophysical basis; brain tissues; diffusion images; disease; fractional order NMR; fractional order calculus; fractional order derivative; healthy human in vivo; molecular diffusion; nuclear magnetic resonance; sephadex gels; space Ã\x9f; spatial variable ¿; tissue structural changes; Biological system modeling; Biological tissues; Biomedical engineering; Brain modeling; Calculus; Equations; Fractals; Humans; Magnetic resonance imaging; Nuclear magnetic resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
Conference_Location
Mallorca
ISSN
1946-0759
Print_ISBN
978-1-4244-2727-7
Electronic_ISBN
1946-0759
Type
conf
DOI
10.1109/ETFA.2009.5347158
Filename
5347158
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