NDLI: Diffusion tensor MRI phantom exhibits anomalous diffusion

Content Provider	IEEE Xplore Digital Library
Author	Ye, A.Q. Hubbard Cristinacce, P.L. Feng-Lei Zhou Ziying Yin Parker, G.J.M. Magin, R.L.
Copyright Year	2014
Description	Author affiliation: CRUK-EPSRC Cancer Imaging Centre in Cambridge & Manchester, Univ. of Manchester, Manchester, UK (Hubbard Cristinacce, P.L.; Feng-Lei Zhou; Parker, G.J.M.) \|\| Univ. of Illinois at Chicago, Chicago, IL, USA (Ye, A.Q.; Ziying Yin; Magin, R.L.)
Abstract	This paper reports diffusion weighted MRI measurements of cyclohexane in a novel diffusion tensor MRI phantom composed of hollow coaxial electrospun fibers (average diameter 10.2 μm). Recent studies of the phantom demonstrated its potential as a calibration standard at low b values (less than 1000 s/mm<;sup>2<;/sup>) for mean diffusivity and fractional anisotropy. In this paper, we extend the characterization of cyclohexane diffusion in this heterogeneous, anisotropic material to high b values (up to 5000 s/mm<;sup>2<;/sup>), where the apparent diffusive motion of the cyclohexane exhibits anomalous behavior (i.e., the molecular mean squared displacement increases with time raised to the fractional power 2α/β). Diffusion tensor MRI was performed at 9.4 T using an Agilent imaging scanner and the data fit to a fractional order Mittag-Leffler (generalized exponential) decay model. Diffusion along the fibers was found to be Gaussian (2α/β=l), while diffusion across the fibers was sub-diffusive (2α/β<;l). Fiber tract reconstruction of the data was consistent with scanning electron micrograph images of the material. These studies suggest that this phantom material may be used to calibrate MR systems in both the normal (Gaussian) and anomalous diffusion regimes.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	746
Ending Page	749
File Size	809118
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phantoms Diffusion tensor imaging Brain modeling Standards Biological system modeling
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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