Verifying the concordance between motion corrected and conventional MPRAGE for pediatric morphometric analysis
Year: 2025
Type: article
Abstract: Purpose This study aimed to validate a retrospective motion correction technique, Distributed and Incoherent Sample Orders for Reconstruction Deblurring using Encoding Redundancy (DISORDER), for pediatric brain morphometry. Methods Two T1-weighted MPRAGE 3D datasets were acquired at 3 T in thirty-seven children aged 7–8 years: one with conventional linear phase encoding and one using DISORDER. MPRAGE images were scored as motion-free or motion-corrupt. Cortical morphometry and regional brain volumes were measured with FreeSurfer, subcortical grey matter (GM) with FSL-FIRST, and hippocampi with HippUnfold. Intraclass correlation coefficient (ICC) was used to determine agreement. Mann–Whitney U was used to test the difference between measures obtained using DISORDER and (i) motion-free and (ii) motion-corrupt conventional MPRAGE data. Results ICC measures between conventional MPRAGE and DISORDER data were good/excellent for most subcortical GM (motion-free, 0.75–0.96; motion-corrupt, 0.62–0.98) and regional brain volumes (motion-free 0.47–0.99; motion-corrupt, 0.54–0.99), except for the amygdala and nucleus accumbens (motion-free, 0.38–0.65; motion-corrupt, 0.1–0.42). These values were less consistent for motion-corrupt conventional MPRAGE data for hippocampal volumes (motion-free 0.65–0.99; motion-corrupt, 0.11–0.91) and cortical measures (motion-free 0.76–0.98; motion-corrupt, 0.09–0.74). Mann–Whitney U showed percentage differences in measures obtained with motion-corrupt conventional MPRAGE compared to DISORDER data were significantly greater than in those obtained using motion-free conventional MPRAGE data in 22/58 structures. Conclusion In the absence of motion, morphometric measures obtained using DISORDER are largely consistent with those from conventional MPRAGE data, whereas improved reliability is obtained by DISORDER for motion-degraded scans. This study validates the use of DISORDER for brain morphometric studies in children.
Source: Frontiers in Neuroscience
Authors: Barat Gal-Er, Yannick Brackenier, Alexandra F Bonthrone, Chiara Casella, Anthony Price, Sophie Arulkumaran, Andrew TM Chew, Chiara Nosarti, Michela Cleri, Pierluigi Di Cio, Alexia Egloff Collado, Mary Rutherford, Jonathan O'Muircheartaigh, Raphael Tomi-Tricot, Shaihan Malik, Lucilio Cordero-Grande, Joseph V Hajnal, Serena J Counsell
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4410247837
