Abstract #2541

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

Barat Gal-Er¹, Yannick Brackenier^1,2, Chiara Casella^1,3, Alexandra Bonthrone¹, Anthony Price^1,4, Andrew Chew¹, Jonathan O’Muircheartaigh^1,3, Raphael Tomi-Tricot^1,2,5, Shaihan Malik^1,2, Lucilio Cordero-Grande^1,2,6, Joseph V Hajnal^1,2, and Serena J Counsell¹

¹Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ²Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ³Department for Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, ⁴Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom, ⁵MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, ⁶Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, ISCIII, Madrid, Spain

Synopsis

Keywords: Neuro, Motion Correction, Segmentation

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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