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Multicenter Reliability of Diffusion Tensor Imaging

Institution:
1Department of Radiology, University of Iowa, Iowa City, IA, USA.
2Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
Publisher:
Wiley Periodicals, Inc.
Publication Date:
Dec-2012
Journal:
Brain Connect
Volume Number:
2
Issue Number:
6
Pages:
345-55
Citation:
Brain Connect. 2012 Dec;2(6):345-55.
PubMed ID:
23075313
PMCID:
PMC3623569
Keywords:
diffusion tensor, Fractional Anisotropy (FA), magnetic resonance, Mean Diffusivity, reliability, White Matter
Appears in Collections:
NA-MIC
Sponsors:
U24 RR021992/RR/NCRR NIH HHS/United States
R01 NS040068/NS/NINDS NIH HHS/United States
R01 NS054893/NS/NINDS NIH HHS/United States
R01 NS050568/NS/NINDS NIH HHS/United States
S10 RR023392/RR/NCRR NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
UL1 TR000442/TR/NCATS NIH HHS/United States
UL1 RR024979/RR/NCRR NIH HHS/United States
Generated Citation:
Magnotta V.A., Matsui J.T., Liu D., Johnson H.J., Long J.D., Bolster B.D., Mueller B.A., Lim K., Mori S., Helmer K.G., Turner J.A., Reading S., Lowe M.J., Aylward E., Flashman L.A., Bonett G., Paulsen J.S. Multicenter Reliability of Diffusion Tensor Imaging. Brain Connect. 2012 Dec;2(6):345-55. PMID: 23075313. PMCID: PMC3623569.
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A number of studies are now collecting diffusion tensor imaging (DTI) data across sites. While the reliability of anatomical images has been established by a number of groups, the reliability of DTI data has not been studied as extensively. In this study, five healthy controls were recruited and imaged at eight imaging centers. Repeated measures were obtained across two imaging protocols allowing intra-subject and inter-site variability to be assessed. Regional measures within white matter were obtained for standard rotationally invariant measures: fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity. Intra-subject coefficient of variation (CV) was typically <1% for all scalars and regions. Inter-site CV increased to ~1%-3%. Inter-vendor variation was similar to inter-site variability. This variability includes differences in the actual implementation of the sequence.

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