Increased brain volumetric measurement precision from multi-site 3D T1-weighted 3 T magnetic resonance imaging by correcting geometric distortions

• Main Authors: Adamo, S. (Author), Arnott, S.R (Author), Bartha, R. (Author), Berezuk, C. (Author), Black, S.E (Author), Broberg, D.N (Author), Casaubon, L. (Author), Dowlatshahi, D. (Author), Fonov, V.S (Author), Gee, T. (Author), Haddad, S.M.H (Author), Hassan, A. (Author), Holmes, M. (Author), Investigators, O.N.D.R.I (Author), Liang, S. (Author), Mandzia, J. (Author), Nanayakkara, N.D (Author), Ozzoude, M. (Author), Ramirez, J. (Author), Sahlas, D. (Author), Saposnik, G. (Author), Scott, C.J.M (Author), Solovey, I. (Author), Strother, S.C (Author), Sujanthan, S. (Author), Swartz, R.H (Author), Symons, S. (Author), Szilagyi, G.M (Author), Theyers, A. (Author), Zamyadi, M. (Author)
• Format: Article
• Language: English
• Published: Elsevier Inc. 2022
• Subjects: Gradient non-linear distortions; Multi-site data analysis; Structural T1-weighted MRI
• Online Access: View Fulltext in Publisher

 Purpose: Magnetic resonance imaging (MRI) scanner-specific geometric distortions may contribute to scanner induced variability and decrease volumetric measurement precision for multi-site studies. The purpose of this study was to determine whether geometric distortion correction increases the precision of brain volumetric measurements in a multi-site multi-scanner study. Methods: Geometric distortion variation was quantified over a one-year period at 10 sites using the distortion fields estimated from monthly 3D T1-weighted MRI geometrical phantom scans. The variability of volume and distance measurements were quantified using synthetic volumes and a standard quantitative MRI (qMRI) phantom. The effects of geometric distortion corrections on MRI derived volumetric measurements of the human brain were assessed in two subjects scanned on each of the 10 MRI scanners and in 150 subjects with cerebrovascaular disease (CVD) acquired across imaging sites. Results: Geometric distortions were found to vary substantially between different MRI scanners but were relatively stable on each scanner over a one-year interval. Geometric distortions varied spatially, increasing in severity with distance from the magnet isocenter. In measurements made with the qMRI phantom, the geometric distortion correction decreased the standard deviation of volumetric assessments by 35% and distance measurements by 42%. The average coefficient of variance decreased by 16% in gray matter and white matter volume estimates in the two subjects scanned on the 10 MRI scanners. Conclusion: Geometric distortion correction using an up-to-date correction field is recommended to increase precision in volumetric measurements made from MRI images. © 2022 Elsevier Inc.