Literature DB >> 34694520

Participant factors that contribute to magnetic resonance imaging motion artifacts in children with mild traumatic brain injury or orthopedic injury.

Ashley L Ware1,2,3,4, Ayushi Shukla5,6,7, Sunny Guo5,6,8, Adrian Onicas9,10, Bryce L Geeraert5,6,7, Bradley G Goodyear5,6,7,11, Keith Owen Yeates9,5,6, Catherine Lebel5,6,7.   

Abstract

Motion can compromise image quality and confound results, especially in pediatric research. This study evaluated qualitative and quantitative approaches to motion artifacts detection and correction, and whether motion artifacts relate to injury history, age, or sex in children with mild traumatic brain injury or orthopedic injury relative to typically developing children. The concordance between qualitative and quantitative motion ratings was also examined. Children aged 8-16 years with mild traumatic brain injury (n = 141) or orthopedic injury (n = 73) were recruited from the emergency department and completed an MRI scan roughly 2 weeks post-injury. Typically developing children (n = 41) completed a single MRI scan. T1- and diffusion-weighted images were visually inspected and rated for motion artifacts by trained examiners. Quantitative estimates of motion artifacts were derived from FreeSurfer and FSL. Age (younger > older) and sex (boys > girls) were significantly associated with motion artifacts on both T1- and diffusion-weighted images. Children with mild traumatic brain or orthopedic injury had significantly more motion-corrupted diffusion-weighted volumes than typically developing children, but mild traumatic brain injury and orthopedic injury groups did not differ from each other. The exclusion of motion-corrupted volumes did not significantly change diffusion tensor imaging metrics. Results indicate that automated quantitative estimates of motion artifacts, which are less labour-intensive than manual methods, are appropriate. Results have implications for the reliability of structural MRI research and highlight the importance of considering motion artifacts in studies of pediatric mild traumatic brain injury.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Mild traumatic brain injury; Motion artifacts; Orthopedic injury; Quality assurance; Structural magnetic resonance imaging

Mesh:

Year:  2021        PMID: 34694520     DOI: 10.1007/s11682-021-00582-w

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  38 in total

1.  Motion artifact in magnetic resonance imaging: implications for automated analysis.

Authors:  Jonathan D Blumenthal; Alex Zijdenbos; Elizabeth Molloy; Jay N Giedd
Journal:  Neuroimage       Date:  2002-05       Impact factor: 6.556

2.  Characteristics of prolonged concussion recovery in a pediatric subspecialty referral population.

Authors:  Daniel J Corwin; Mark R Zonfrillo; Christina L Master; Kristy B Arbogast; Matthew F Grady; Roni L Robinson; Arlene M Goodman; Douglas J Wiebe
Journal:  J Pediatr       Date:  2014-09-26       Impact factor: 4.406

3.  Attention deficit hyperactivity disorder as a risk factor for concussions in NCAA division-I athletes.

Authors:  Michael L Alosco; Andrew F Fedor; John Gunstad
Journal:  Brain Inj       Date:  2014-02-24       Impact factor: 2.311

4.  Effects of rejecting diffusion directions on tensor-derived parameters.

Authors:  Yiran Chen; Olga Tymofiyeva; Christopher P Hess; Duan Xu
Journal:  Neuroimage       Date:  2015-01-10       Impact factor: 6.556

5.  Evaluation of motion and its effect on brain magnetic resonance image quality in children.

Authors:  Onur Afacan; Burak Erem; Diona P Roby; Noam Roth; Amir Roth; Sanjay P Prabhu; Simon K Warfield
Journal:  Pediatr Radiol       Date:  2016-08-03

Review 6.  Pediatric Mild Traumatic Brain Injury in the Acute Setting.

Authors:  Daniel J Corwin; Matthew F Grady; Mark D Joffe; Mark R Zonfrillo
Journal:  Pediatr Emerg Care       Date:  2017-09       Impact factor: 1.454

7.  Diffusion imaging with prospective motion correction and reacquisition.

Authors:  Thomas Benner; André J W van der Kouwe; A Gregory Sorensen
Journal:  Magn Reson Med       Date:  2011-02-24       Impact factor: 4.668

8.  Should Young Children with Traumatic Brain Injury Be Compared with Community or Orthopedic Control Participants?

Authors:  Miriam H Beauchamp; Catherine Landry-Roy; Jocelyn Gravel; Cindy Beaudoin; Annie Bernier
Journal:  J Neurotrauma       Date:  2017-06-28       Impact factor: 5.269

9.  Subtle in-scanner motion biases automated measurement of brain anatomy from in vivo MRI.

Authors:  Aaron Alexander-Bloch; Liv Clasen; Michael Stockman; Lisa Ronan; Francois Lalonde; Jay Giedd; Armin Raznahan
Journal:  Hum Brain Mapp       Date:  2016-03-23       Impact factor: 5.038

10.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Authors:  Jesper L R Andersson; Stamatios N Sotiropoulos
Journal:  Neuroimage       Date:  2015-10-20       Impact factor: 6.556

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  3 in total

1.  Multisite Harmonization of Structural DTI Networks in Children: An A-CAP Study.

Authors:  Adrian I Onicas; Ashley L Ware; Ashley D Harris; Miriam H Beauchamp; Christian Beaulieu; William Craig; Quynh Doan; Stephen B Freedman; Bradley G Goodyear; Roger Zemek; Keith Owen Yeates; Catherine Lebel
Journal:  Front Neurol       Date:  2022-06-17       Impact factor: 4.086

2.  Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study.

Authors:  Ayushi Shukla; Ashley L Ware; Sunny Guo; Bradley Goodyear; Miriam H Beauchamp; Roger Zemek; William Craig; Quynh Doan; Christian Beaulieu; Keith O Yeates; Catherine Lebel
Journal:  Neuroimage Clin       Date:  2021-11-19       Impact factor: 4.881

3.  Longitudinal white matter microstructural changes in pediatric mild traumatic brain injury: An A-CAP study.

Authors:  Ashley L Ware; Keith Owen Yeates; Ken Tang; Ayushi Shukla; Adrian I Onicas; Sunny Guo; Naomi Goodrich-Hunsaker; Nishard Abdeen; Miriam H Beauchamp; Christian Beaulieu; Bruce Bjornson; William Craig; Mathieu Dehaes; Quynh Doan; Sylvain Deschenes; Stephen B Freedman; Bradley G Goodyear; Jocelyn Gravel; Andrée-Anne Ledoux; Roger Zemek; Catherine Lebel
Journal:  Hum Brain Mapp       Date:  2022-04-25       Impact factor: 5.399

  3 in total

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