Literature DB >> 27330240

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

K G Helmer1, M-C Chou2, R I Preciado3, B Gimi4, N K Rollins5, A Song6, J Turner7, S Mori8.   

Abstract

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.

Entities:  

Keywords:  MRI; calibration; diffusion; multi-site study

Year:  2016        PMID: 27330240      PMCID: PMC4909120          DOI: 10.1117/12.2217445

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  13 in total

1.  Diffusion MRI: apparent diffusion coefficient (ADC) values in the normal brain and a classification of brain disorders based on ADC values.

Authors:  R N Sener
Journal:  Comput Med Imaging Graph       Date:  2001 Jul-Aug       Impact factor: 4.790

2.  Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain.

Authors:  Adolf Pfefferbaum; Elfar Adalsteinsson; Edith V Sullivan
Journal:  J Magn Reson Imaging       Date:  2003-10       Impact factor: 4.813

3.  A validation study of multicenter diffusion tensor imaging: reliability of fractional anisotropy and diffusivity values.

Authors:  R J Fox; K Sakaie; J-C Lee; J P Debbins; Y Liu; D L Arnold; E R Melhem; C H Smith; M D Philips; M Lowe; E Fisher
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

4.  Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T.

Authors:  Bennett A Landman; Jonathan A D Farrell; Craig K Jones; Seth A Smith; Jerry L Prince; Susumu Mori
Journal:  Neuroimage       Date:  2007-04-04       Impact factor: 6.556

5.  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 1.5 T.

Authors:  Jonathan A D Farrell; Bennett A Landman; Craig K Jones; Seth A Smith; Jerry L Prince; Peter C M van Zijl; Susumu Mori
Journal:  J Magn Reson Imaging       Date:  2007-09       Impact factor: 4.813

6.  Effects of echo time on diffusion quantification of brain white matter at 1.5 T and 3.0 T.

Authors:  Wen Qin; Chun Shui Yu; Fan Zhang; Xiang Ying Du; Heng Jiang; Yu Xia Yan; Kun Cheng Li
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

7.  Multicenter reliability of diffusion tensor imaging.

Authors:  Vincent A Magnotta; Joy T Matsui; Dawei Liu; Hans J Johnson; Jeffrey D Long; Bradley D Bolster; Bryon A Mueller; Kelvin Lim; Susumu Mori; Karl G Helmer; Jessica A Turner; Sarah Reading; Mark J Lowe; Elizabeth Aylward; Laura A Flashman; Greg Bonett; Jane S Paulsen
Journal:  Brain Connect       Date:  2012

8.  Intercenter differences in diffusion tensor MRI acquisition.

Authors:  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
Journal:  J Magn Reson Imaging       Date:  2010-06       Impact factor: 4.813

9.  Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain.

Authors:  Ullamari Hakulinen; Antti Brander; Pertti Ryymin; Juha Öhman; Seppo Soimakallio; Mika Helminen; Prasun Dastidar; Hannu Eskola
Journal:  BMC Med Imaging       Date:  2012-10-11       Impact factor: 1.930

10.  Identical, but not the same: intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0T scanners.

Authors:  Christian Vollmar; Jonathan O'Muircheartaigh; Gareth J Barker; Mark R Symms; Pamela Thompson; Veena Kumari; John S Duncan; Mark P Richardson; Matthias J Koepp
Journal:  Neuroimage       Date:  2010-03-23       Impact factor: 6.556

View more
  10 in total

1.  A longitudinal human phantom reliability study of multi-center T1-weighted, DTI, and resting state fMRI data.

Authors:  Colin Hawco; Joseph D Viviano; Sofia Chavez; Erin W Dickie; Navona Calarco; Peter Kochunov; Miklos Argyelan; Jessica A Turner; Anil K Malhotra; Robert W Buchanan; Aristotle N Voineskos
Journal:  Psychiatry Res Neuroimaging       Date:  2018-06-09       Impact factor: 2.376

2.  Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.

Authors:  Vishwesh Nath; Prasanna Parvathaneni; Colin B Hansen; Allison E Hainline; Camilo Bermudez; Samuel Remedios; Justin A Blaber; Kurt G Schilling; Ilwoo Lyu; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Baxter P Rogers; Allen T Newton; L Taylor Davis; Jeff Luci; Adam W Anderson; Bennett A Landman
Journal:  Lect Notes Monogr Ser       Date:  2019-05-03

3.  A longitudinal multi-scanner multimodal human neuroimaging dataset.

Authors:  Colin Hawco; Erin W Dickie; Gabrielle Herman; Jessica A Turner; Miklos Argyelan; Anil K Malhotra; Robert W Buchanan; Aristotle N Voineskos
Journal:  Sci Data       Date:  2022-06-14       Impact factor: 8.501

4.  White matter abnormalities in mild traumatic brain injury with and without post-traumatic stress disorder: a subject-specific diffusion tensor imaging study.

Authors:  Christian Lepage; Amicie de Pierrefeu; Inga K Koerte; Michael J Coleman; Ofer Pasternak; Gerald Grant; Christine E Marx; Rajendra A Morey; Laura A Flashman; Mark S George; Thomas W McAllister; Norberto Andaluz; Lori Shutter; Raul Coimbra; Ross D Zafonte; Murray B Stein; Martha E Shenton; Sylvain Bouix
Journal:  Brain Imaging Behav       Date:  2018-06       Impact factor: 3.978

Review 5.  Diffusion tensor imaging of the roots of the brachial plexus: a systematic review and meta-analysis of normative values.

Authors:  Ryckie G Wade; Alexander Whittam; Irvin Teh; Gustav Andersson; Fang-Cheng Yeh; Mikael Wiberg; Grainne Bourke
Journal:  Clin Transl Imaging       Date:  2020-10-09

6.  Fractional anisotropy thresholding for deterministic tractography of the roots of the brachial plexus.

Authors:  Ryckie G Wade; Irvin Teh; Gustav Andersson; Fang-Cheng Yeh; Mikael Wiberg; Grainne Bourke
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.379

7.  Diffusion MRI harmonization enables joint-analysis of multicentre data of patients with cerebral small vessel disease.

Authors:  Bruno M de Brito Robalo; Geert Jan Biessels; Christopher Chen; Anna Dewenter; Marco Duering; Saima Hilal; Huiberdina L Koek; Anna Kopczak; Bonnie Yin Ka Lam; Alexander Leemans; Vincent Mok; Laurien P Onkenhout; Hilde van den Brink; Alberto de Luca
Journal:  Neuroimage Clin       Date:  2021-11-18       Impact factor: 4.881

Review 8.  Meta-analysis of the normal diffusion tensor imaging values of the median nerve and how they change in carpal tunnel syndrome.

Authors:  Djamila Rojoa; Firas Raheman; Joseph Rassam; Ryckie G Wade
Journal:  Sci Rep       Date:  2021-10-22       Impact factor: 4.379

9.  Widespread effects of dMRI data quality on diffusion measures in children.

Authors:  Nabin Koirala; Daniel Kleinman; Meaghan V Perdue; Xing Su; Martina Villa; Elena L Grigorenko; Nicole Landi
Journal:  Hum Brain Mapp       Date:  2021-11-19       Impact factor: 5.038

10.  Diffusion tensor imaging in cubital tunnel syndrome.

Authors:  Timothy T Griffiths; Robert Flather; Irvin Teh; Hamied A Haroon; David Shelley; Sven Plein; Grainne Bourke; Ryckie G Wade
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.