Multi-site study of diffusion metric variability: effects of site, vendor, field strength, and echo time on regions-of-interest and histogram-bin analyses

被引:8
作者
Helmer, K. G. [1 ,2 ,3 ]
Chou, M-C. [4 ]
Preciado, R. I. [1 ]
Gimi, B. [5 ]
Rollins, N. K. [6 ]
Song, A. [7 ]
Turner, J. [8 ]
Mori, S. [9 ]
机构
[1] Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA USA
[2] Massachusetts Gen Hosp, Dept Radiol, Boston, MA USA
[3] Harvard Univ, Sch Med, Boston, MA USA
[4] Kaohsiung Med Univ, Dept Med Imaging & Radiol Sci, Kaohsiung, Taiwan
[5] Geisel Sch Med Dartmouth, Hanover, NH USA
[6] Univ Texas SW Med Ctr Dallas, Radiol, Dallas, TX 75390 USA
[7] Duke Univ, Sch Med, Brain Imaging & Anal Ctr, Durham, NC USA
[8] MIND Res Network, Albuquerque, NM USA
[9] Johns Hopkins Univ, Sch Med, Baltimore, MD USA
来源
MEDICAL IMAGING 2016-BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING | 2016年 / 9788卷
关键词
MRI; diffusion; multi-site study; calibration; PRINCIPAL EIGENVECTOR MEASUREMENTS; FRACTIONAL ANISOTROPY; MEAN DIFFUSIVITY; BRAIN; REPRODUCIBILITY; 1.5T; VALUES; MRI;
D O I
10.1117/12.2217445
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
It is now common for magnetic-resonance-imaging (MRI) based multi-site trials to include diffusion-weighted imaging (DWI) as part of the protocol. It is also common for these sites to possess MR scanners of different manufacturers, different software and hardware, and different software licenses. These differences mean that scanners may not be able to acquire data with the same number of gradient amplitude values and number of available gradient directions. Variability can also occur in achievable b-values and minimum echo times. The challenge of a multi-site study then, is to create a common protocol by understanding and then minimizing the effects of scanner variability and identifying reliable and accurate diffusion metrics. This study describes the effect of site, scanner vendor, field strength, and TE on two diffusion metrics: the first moment of the diffusion tensor field (mean diffusivity, MD), and the fractional anisotropy (FA) using two common analyses (region-of-interest and mean-bin value of whole brain histograms). The goal of the study was to identify sources of variability in diffusion-sensitized imaging and their influence on commonly reported metrics. The results demonstrate that the site, vendor, field strength, and echo time all contribute to variability in FA and MD, though to different extent. We conclude that characterization of the variability of DTI metrics due to site, vendor, field strength, and echo time is a worthwhile step in the construction of multi-center trials.
引用
收藏
页数:10
相关论文
共 14 条
[1]   Diffusion tensor imaging in children and adolescents:: Reproducibility, hemispheric, and age-related differences [J].
Bonekamp, David ;
Nagae, Lidia M. ;
Degaonkar, Mahaveer ;
Matson, Melissa ;
Abdalla, Wael M. A. ;
Barker, Peter B. ;
Mori, Susumu ;
Horska, Alena .
NEUROIMAGE, 2007, 34 (02) :733-742
[2]  
Cercignani M, 2003, AM J NEURORADIOL, V24, P638
[3]   Effects of b-Value and Echo Time on Magnetic Resonance Diffusion Tensor Imaging-Derived Parameters at 1.5 T: A Voxel-Wise Study [J].
Chou, Ming-Chung ;
Kao, E-Fong ;
Mori, Susumu .
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2013, 33 (01) :45-50
[4]   Effects of signal-to-noise ratio on the accuracy and reproducibility, of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T [J].
Farrell, Jonathan A. D. ;
Landman, Bennett A. ;
Jones, Craig K. ;
Smith, Seth A. ;
Prince, Jerry L. ;
van Zijl, Peter C. M. ;
Mori, Susumu .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2007, 26 (03) :756-767
[5]   A Validation Study of Multicenter Diffusion Tensor Imaging: Reliability of Fractional Anisotropy and Diffusivity Values [J].
Fox, R. J. ;
Sakaie, K. ;
Lee, J-C. ;
Debbins, J. P. ;
Liu, Y. ;
Arnold, D. L. ;
Melhem, E. R. ;
Smith, C. H. ;
Philips, M. D. ;
Lowe, M. ;
Fisher, E. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2012, 33 (04) :695-700
[6]   Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain [J].
Hakulinen, Ullamari ;
Brander, Antti ;
Ryymin, Pertti ;
Ohman, Juha ;
Soimakallio, Seppo ;
Helminen, Mika ;
Dastidar, Prasun ;
Eskola, Hannu .
BMC MEDICAL IMAGING, 2012, 12
[7]   Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T [J].
Landman, Bennett A. ;
Farrell, Jonathan A. D. ;
Jones, Craig K. ;
Smith, Seth A. ;
Prince, Jerry L. ;
Mori, Susumu .
NEUROIMAGE, 2007, 36 (04) :1123-1138
[8]   MultiCenter Reliability of Diffusion Tensor Imaging [J].
Magnotta, Vincent A. ;
Matsui, Joy T. ;
Liu, Dawei ;
Johnson, Hans J. ;
Long, Jeffrey D. ;
Bolster, Bradley D., Jr. ;
Mueller, Bryon A. ;
Lim, Kelvin ;
Mori, Susumu ;
Helmer, Karl G. ;
Turner, Jessica A. ;
Reading, Sarah ;
Lowe, Mark J. ;
Aylward, Elizabeth ;
Flashman, Laura A. ;
Bonett, Greg ;
Paulsen, Jane S. .
BRAIN CONNECTIVITY, 2012, 2 (06) :345-355
[9]   Intercenter Differences in Diffusion Tensor MRI Acquisition [J].
Pagani, Elisabetta ;
Hirsch, Jochen G. ;
Pouwels, Petra J. W. ;
Horsfield, Mark A. ;
Perego, Elisabetta ;
Gass, Achim ;
Roosendaal, Stefan D. ;
Barkhof, Frederik ;
Agosta, Federica ;
Rovaris, Marco ;
Caputo, Domenico ;
Giorgio, Antonio ;
Palace, Jacqueline ;
Marino, Silvia ;
De Stefano, Nicola ;
Ropele, Stefan ;
Fazekas, Franz ;
Filippi, Massimo .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2010, 31 (06) :1458-1468
[10]   Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain [J].
Pfefferbaum, A ;
Adalsteinsson, E ;
Sullivan, EV .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2003, 18 (04) :427-433