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037 _ _ |a PreJuSER-20776
041 _ _ |a eng
082 _ _ |a 610
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|a Radiology, Nuclear Medicine & Medical Imaging
100 1 _ |a Farrher, E.
|b 0
|u FZJ
|0 P:(DE-Juel1)138244
245 _ _ |a Novel multisection design of anisotropic diffusion phantoms
260 _ _ |a Amsterdam [u.a.]
|b Elsevier Science
|c 2012
300 _ _ |a 518 - 526
336 7 _ |a Journal Article
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336 7 _ |a article
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440 _ 0 |a Magnetic Resonance Imaging
|x 0730-725X
|0 4146
|y 4
|v 30
500 _ _ |a EF thanks Mr. J. Lindemeyer, Dr. I.I. Maximov, Dr. V. Gras and Dr. D. Pflugfelder for valuable discussions. EF thanks Ms. M. Kubach and Mr. F. Keil for providing access to the toolkit QuanTooM. FG thanks Dr. E. Fieremans and Dr. O. Poznansky for valuable discussions. We thank Dr. H. Plug (DSM, Geleen, The Netherlands) for supplying us with the Dyneema fibers for this study. EF and FG thank Mr. J.-E. Batta for a helpful contribution to the development of the phantom during his research stay in Forschungszentrum Julich funded by the ALFA II EU project NANOGASTOR. FG thanks NANOGASTOR and Professor J. Karger for a valuable support of this project.
520 _ _ |a Diffusion-weighted magnetic resonance imaging provides access to fiber pathways and structural integrity in fibrous tissues such as white matter in the brain. In order to enable better access to the sensitivity of the diffusion indices to the underlying microstructure, it is important to develop artificial model systems that exhibit a well-known structure, on the one hand, but benefit from a reduced complexity on the other hand. In this work, we developed a novel multisection diffusion phantom made of polyethylene fibers tightly wound on an acrylic support. The phantom exhibits three regions with different geometrical configuration of fibers: a region with fibers crossing at right angles, a region with parallel fibers and homogeneous density, and, finally, a region with parallel fibers but with a gradient of fiber density along the axis of symmetry. This gives rise to a gradual change of the degree of anisotropy within the same phantom. In this way, the need to construct several phantoms with different fiber densities is avoided, and one can access different fractional anisotropies in the same experiment under the same physical conditions. The properties of the developed phantom are demonstrated by means of diffusion tensor imaging and diffusion kurtosis imaging. The measurements were performed using a diffusion-weighted spin-echo and a diffusion-weighted stimulated-echo pulse sequence programmed in-house. The influence of the fiber density packing on the diffusion parameters was analyzed. We also demonstrate how the novel phantom can be used for the validation of high angular resolution diffusion imaging data analysis.
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|a Funktion und Dysfunktion des Nervensystems (FUEK409)
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650 _ 2 |2 MeSH
|a Algorithms
650 _ 2 |2 MeSH
|a Anisotropy
650 _ 2 |2 MeSH
|a Brain Mapping: methods
650 _ 2 |2 MeSH
|a Diffusion Magnetic Resonance Imaging
650 _ 2 |2 MeSH
|a Equipment Design
650 _ 2 |2 MeSH
|a Imaging, Three-Dimensional
650 _ 2 |2 MeSH
|a Nerve Fibers, Myelinated: ultrastructure
650 _ 2 |2 MeSH
|a Phantoms, Imaging
650 _ 2 |2 MeSH
|a Polyethylene
650 _ 7 |0 9002-88-4
|2 NLM Chemicals
|a Polyethylene
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a Diffusion tensor imaging
653 2 0 |2 Author
|a Diffusion kurtosis imaging
653 2 0 |2 Author
|a Fiber phantom
653 2 0 |2 Author
|a Stimulated echo
653 2 0 |2 Author
|a Q-ball imaging
653 2 0 |2 Author
|a Spherical harmonic deconvolution
653 2 0 |2 Author
|a High angular resolution diffusion imaging
700 1 _ |a Kaffanke, J.
|b 1
|u FZJ
|0 P:(DE-Juel1)VDB18957
700 1 _ |a Celik, A.A.
|b 2
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700 1 _ |a Stöcker, T.
|b 3
|u FZJ
|0 P:(DE-Juel1)VDB18939
700 1 _ |a Grinberg, F.
|b 4
|u FZJ
|0 P:(DE-Juel1)VDB101446
700 1 _ |a Shah, N.J.
|b 5
|u FZJ
|0 P:(DE-Juel1)131794
773 _ _ |a 10.1016/j.mri.2011.12.012
|g Vol. 30, p. 518 - 526
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|0 PERI:(DE-600)1500646-3
|t Magnetic resonance imaging
|v 30
|y 2012
|x 0730-725X
856 7 _ |u http://dx.doi.org/10.1016/j.mri.2011.12.012
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