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Intercenter differences in diffusion tensor MRI acquisition

✍ Scribed by Elisabetta Pagani; Jochen G. Hirsch; Petra J.W. Pouwels; Mark A. Horsfield; Elisabetta Perego; Achim Gass; Stefan D. Roosendaal; Frederik Barkhof; Federica Agosta; Marco Rovaris; Domenico Caputo; Antonio Giorgio; Jacqueline Palace; Silvia Marino; Nicola De Stefano; Stefan Ropele; Franz Fazekas; Massimo Filippi


Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
286 KB
Volume
31
Category
Article
ISSN
1053-1807

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✦ Synopsis


Abstract

Purpose:

To assess the effect on diffusion tensor (DT) magnetic resonance imaging (MRI) of acquiring data with different scanners.

Materials and Methods:

Forty‐four healthy controls and 36 multiple sclerosis patients with low disability were studied using eight MR scanners with acquisition protocols that were as close to a standard protocol as possible. Between 7 and 13 subjects were studied in each center. Region‐of‐interest (ROI) and histogram‐based analyses of fractional anisotropy (FA), axial (D~ax~), radial (D~rad~), and mean diffusivity (MD) were performed. The influence of variables such as the acquisition center and the control/patient group was determined with an analysis of variance (ANOVA) test.

Results:

The patient/control group explained ≈25% of data variability of FA and D~rad~ from midsagittal corpus callosum (CC) ROIs. Global FA, MD, and D~rad~ in the white matter differentiated patients from controls, but with lower discriminatory power than for the CC. In the gray matter, MD discriminated patients from controls (30% of variability explained by group vs. 17% by center).

Conclusion:

Significant variability of DT‐MRI data can be attributed to the acquisition center, even when a standardized protocol is used. The use of appropriate segmentation methods and statistical models allows DT‐derived metrics to differentiate patients from healthy controls. J. Magn. Reson. Imaging 2010;31:1458–1468. © 2010 Wiley‐Liss, Inc.


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