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Research ArticleADULT BRAIN
Open Access

Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study

E.M. Palacios, A.J. Martin, M.A. Boss, F. Ezekiel, Y.S. Chang, E.L. Yuh, M.J. Vassar, D.M. Schnyer, C.L. MacDonald, K.L. Crawford, A. Irimia, A.W. Toga and P. Mukherjee
American Journal of Neuroradiology March 2017, 38 (3) 537-545; DOI: https://doi.org/10.3174/ajnr.A5025
E.M. Palacios
aFrom the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
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A.J. Martin
aFrom the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
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M.A. Boss
dNational Institute of Standards and Technology (M.A.B.), Boulder, Colorado
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F. Ezekiel
aFrom the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
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Y.S. Chang
aFrom the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
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E.L. Yuh
aFrom the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
eBrain and Spinal Cord Injury Center (E.L.Y., M.J.V., P.M.), San Francisco General Hospital and Trauma Center, San Francisco, California
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M.J. Vassar
bNeurological Surgery and Brain and Spinal Injury Center (M.J.V.)
eBrain and Spinal Cord Injury Center (E.L.Y., M.J.V., P.M.), San Francisco General Hospital and Trauma Center, San Francisco, California
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D.M. Schnyer
fDepartment of Psychology (D.M.S.), University of Texas, Austin, Texas
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C.L. MacDonald
gDepartment of Neurological Surgery (C.L.M.), University of Washington, Seattle, Washington
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K.L. Crawford
hMark and Mary Stevens Neuroimaging and Informatics Institute (K.L.C., A.I., A.W.T.), University of Southern California, Los Angeles, California.
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A. Irimia
hMark and Mary Stevens Neuroimaging and Informatics Institute (K.L.C., A.I., A.W.T.), University of Southern California, Los Angeles, California.
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A.W. Toga
hMark and Mary Stevens Neuroimaging and Informatics Institute (K.L.C., A.I., A.W.T.), University of Southern California, Los Angeles, California.
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P. Mukherjee
aFrom the Departments of Radiology and Biomedical Imaging (E.M.P., A.J.M., F.E., Y.S.C., E.L.Y., P.M.)
cBioengineering and Therapeutic Sciences (P.M.), University of California, San Francisco, San Francisco, California
eBrain and Spinal Cord Injury Center (E.L.Y., M.J.V., P.M.), San Francisco General Hospital and Trauma Center, San Francisco, California
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Abstract

BACKGROUND AND PURPOSE: Precision medicine is an approach to disease diagnosis, treatment, and prevention that relies on quantitative biomarkers that minimize the variability of individual patient measurements. The aim of this study was to assess the intersite variability after harmonization of a high-angular-resolution 3T diffusion tensor imaging protocol across 13 scanners at the 11 academic medical centers participating in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury multisite study.

MATERIALS AND METHODS: Diffusion MR imaging was acquired from a novel isotropic diffusion phantom developed at the National Institute of Standards and Technology and from the brain of a traveling volunteer on thirteen 3T MR imaging scanners representing 3 major vendors (GE Healthcare, Philips Healthcare, and Siemens). Means of the DTI parameters and their coefficients of variation across scanners were calculated for each DTI metric and white matter tract.

RESULTS: For the National Institute of Standards and Technology diffusion phantom, the coefficients of variation of the apparent diffusion coefficient across the 13 scanners was <3.8% for a range of diffusivities from 0.4 to 1.1 × 10−6 mm2/s. For the volunteer, the coefficients of variations across scanners of the 4 primary DTI metrics, each averaged over the entire white matter skeleton, were all <5%. In individual white matter tracts, large central pathways showed good reproducibility with the coefficients of variation consistently below 5%. However, smaller tracts showed more variability, with the coefficients of variation of some DTI metrics reaching 10%.

CONCLUSIONS: The results suggest the feasibility of standardizing DTI across 3T scanners from different MR imaging vendors in a large-scale neuroimaging research study.

ABBREVIATIONS:

AD
axial diffusivity (units of 10−3 mm2/s)
CoV
coefficient of variation
FA
fractional anisotropy
MD
mean diffusivity (units of 10−3 mm2/s)
NIST
National Institute of Standards and Technology
PVP
polyvinylpyrrolidone
RD
radial diffusivity (units of 10−3 mm2/s)
TBI
traumatic brain injury
TRACK-TBI
Transforming Research and Clinical Knowledge in Traumatic Brain Injury
  • © 2017 by American Journal of Neuroradiology

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American Journal of Neuroradiology: 38 (3)
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E.M. Palacios, A.J. Martin, M.A. Boss, F. Ezekiel, Y.S. Chang, E.L. Yuh, M.J. Vassar, D.M. Schnyer, C.L. MacDonald, K.L. Crawford, A. Irimia, A.W. Toga, P. Mukherjee
Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study
American Journal of Neuroradiology Mar 2017, 38 (3) 537-545; DOI: 10.3174/ajnr.A5025

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Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study
E.M. Palacios, A.J. Martin, M.A. Boss, F. Ezekiel, Y.S. Chang, E.L. Yuh, M.J. Vassar, D.M. Schnyer, C.L. MacDonald, K.L. Crawford, A. Irimia, A.W. Toga, P. Mukherjee
American Journal of Neuroradiology Mar 2017, 38 (3) 537-545; DOI: 10.3174/ajnr.A5025
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