Literature DB >> 26350492

Investigation of vibration-induced artifact in clinical diffusion-weighted imaging of pediatric subjects.

Madison M Berl1, Lindsay Walker2, Pooja Modi2, M Okan Irfanoglu2,3, Joelle E Sarlls4, Amritha Nayak2,3, Carlo Pierpaoli2,5.   

Abstract

It has been reported that mechanical vibrations of the magnetic resonance imaging scanner could produce spurious signal dropouts in diffusion-weighted images resulting in artifactual anisotropy in certain regions of the brain with red appearance in the Directionally Encoded Color maps. We performed a review of the frequency of this artifact across pediatric studies, noting differences by scanner manufacturer, acquisition protocol, as well as weight and position of the subject. We also evaluated the ability of automated and quantitative methods to detect this artifact. We found that the artifact may be present in over 50% of data in certain protocols and is not limited to one scanner manufacturer. While a specific scanner had the highest incidence, low body weight and positioning were also associated with appearance of the artifact for both scanner types evaluated, making children potentially more susceptible than adults. Visual inspection remains the best method for artifact identification. Software for automated detection showed very low sensitivity (10%). The artifact may present inconsistently in longitudinal studies. We discuss a published case report that has been widely cited and used as evidence to set policy about diagnostic criteria for determining vegetative state. That report attributed longitudinal changes in anisotropy to white matter plasticity without considering the possibility that the changes were caused by this artifact. Our study underscores the need to check for the presence of this artifact in clinical studies, analyzes circumstances for when it may be more likely to occur, and suggests simple strategies to identify and potentially avoid its effects.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  diffusion tensor imaging; position; quality; regrowth; weight

Mesh:

Year:  2015        PMID: 26350492      PMCID: PMC4715600          DOI: 10.1002/hbm.22846

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  33 in total

1.  A spreadsheet for the calculation of comprehensive statistics for the assessment of diagnostic tests and inter-rater agreement.

Authors:  A Mackinnon
Journal:  Comput Biol Med       Date:  2000-05       Impact factor: 4.589

2.  Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo.

Authors:  T G Reese; O Heid; R M Weisskoff; V J Wedeen
Journal:  Magn Reson Med       Date:  2003-01       Impact factor: 4.668

3.  Informed RESTORE: A method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifacts.

Authors:  Lin-Ching Chang; Lindsay Walker; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2012-01-27       Impact factor: 4.668

Review 4.  Precision and accuracy in diffusion tensor magnetic resonance imaging.

Authors:  Derek K Jones
Journal:  Top Magn Reson Imaging       Date:  2010-04

5.  Comparison of diffusion-weighted fMRI and BOLD fMRI responses in a verbal working memory task.

Authors:  Toshihiko Aso; Shin-Ichi Urayama; Hidenao Fukuyama; Denis Le Bihan
Journal:  Neuroimage       Date:  2012-11-10       Impact factor: 6.556

6.  White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI.

Authors:  Derek K Jones; Thomas R Knösche; Robert Turner
Journal:  Neuroimage       Date:  2012-07-23       Impact factor: 6.556

7.  The contribution of gliosis to diffusion tensor anisotropy and tractography following traumatic brain injury: validation in the rat using Fourier analysis of stained tissue sections.

Authors:  Matthew D Budde; Lindsay Janes; Eric Gold; Lisa Christine Turtzo; Joseph A Frank
Journal:  Brain       Date:  2011-07-15       Impact factor: 13.501

8.  MR diffusion tensor spectroscopy and imaging.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  Biophys J       Date:  1994-01       Impact factor: 4.033

Review 9.  Diffusion tensor imaging and beyond.

Authors:  Jacques-Donald Tournier; Susumu Mori; Alexander Leemans
Journal:  Magn Reson Med       Date:  2011-04-05       Impact factor: 4.668

Review 10.  Stimulating neuroregeneration as a therapeutic drug approach for traumatic brain injury.

Authors:  Bernhard K Mueller; Reinhold Mueller; Hans Schoemaker
Journal:  Br J Pharmacol       Date:  2009-05-05       Impact factor: 8.739

View more
  3 in total

1.  White matter compromise in autism? Differentiating motion confounds from true differences in diffusion tensor imaging.

Authors:  Seraphina K Solders; Ruth A Carper; Ralph-Axel Müller
Journal:  Autism Res       Date:  2017-05-15       Impact factor: 5.216

Review 2.  The structural connectome in children: basic concepts, how to build it, and synopsis of challenges for the developing pediatric brain.

Authors:  Avner Meoded; Thierry A G M Huisman; Maria Grazia Sacco Casamassima; George I Jallo; Andrea Poretti
Journal:  Neuroradiology       Date:  2017-04-05       Impact factor: 2.804

Review 3.  What's new and what's next in diffusion MRI preprocessing.

Authors:  Chantal M W Tax; Matteo Bastiani; Jelle Veraart; Eleftherios Garyfallidis; M Okan Irfanoglu
Journal:  Neuroimage       Date:  2021-12-26       Impact factor: 7.400

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.