Verifying the concordance between motion corrected and conventional MPRAGE for pediatric morphometric analysis using minimal motion data

Motivation: Head motion is a common cause of image degradation in pediatric neuroimaging. Multiple strategies are available for correcting intrascan motion, including DISORDER - a retrospective motion correction approach. Goal(s): We aimed to validate the use of DISORDER for brain morphometric analyses in a pediatric population. Approach: We compared a wide range of morphometry measures obtained from high quality linear phase-encoding MPRAGE and DISORDER MPRAGE acquisitions in 21 children aged 7-8 years. Results: DISORDER reduced data loss due to motion and brain morphometric analyses obtained using both MPRAGE acquisitions were highly consistent for most brain regions. Impact: DISORDER, a retrospective motion correction technique, reduces data loss due to head motion in pediatric populations and produces quantitative brain morphometric measures that are largely consistent with measures derived from a standard acquisition.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2541
Primary Topic
Anatomy and Medical Technology
Type
article
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article

Verifying the concordance between motion corrected and conventional MPRAGE for pediatric morphometric analysis using minimal motion data

Andrew Chew, Lucilio Cordero‐Grande, Alexandra F. Bonthrone, Serena J. Counsell et al.
1 links
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Anatomy and Medical Technology
article

Verifying the concordance between motion corrected and conventional MPRAGE for pediatric morphometric analysis using minimal motion data

Andrew Chew, Lucilio Cordero‐Grande, Alexandra F. Bonthrone, Serena J. Counsell, Shaihan Malik, Yannick Brackenier, Chiara Casella, Jonathan O’Muircheartaigh, Anthony N. Price, Joseph V. Hajnal, Raphaël Tomi‐Tricot, Barat Gal-Er
article en

Abstract

Motivation: Head motion is a common cause of image degradation in pediatric neuroimaging. Multiple strategies are available for correcting intrascan motion, including DISORDER - a retrospective motion correction approach. Goal(s): We aimed to validate the use of DISORDER for brain morphometric analyses in a pediatric population. Approach: We compared a wide range of morphometry measures obtained from high quality linear phase-encoding MPRAGE and DISORDER MPRAGE acquisitions in 21 children aged 7-8 years. Results: DISORDER reduced data loss due to motion and brain morphometric analyses obtained using both MPRAGE acquisitions were highly consistent for most brain regions. Impact: DISORDER, a retrospective motion correction technique, reduces data loss due to head motion in pediatric populations and produces quantitative brain morphometric measures that are largely consistent with measures derived from a standard acquisition.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 80%
Anatomy and Medical Technology
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