Jovicich, Jorge, Czanner, Silvester, Han, Xiao, Salat, David, van der Kouwe, Andre, Quinn, Brian, Pacheco, Jenni, Albert, Marilyn, Killiany, Ronald, Blacker, Deborah, Maguire, Paul, Rosas, Diana, Makris, Nikos, Gollub, Randy, Dale, Anders, Dickerson, Bradford C. and Fischl, Bruce (2009) MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. NeuroImage, Vol.46 (No.1). pp. 177-192. doi:10.1016/j.neuroimage.2009.02.010

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Abstract

Automated MRI-derived measurements of in-vivo human brain volumes provide novel insights into normal and abnormal neuroanatomy, but little is known about measurement reliability. Here we assess the impact of image acquisition variables (scan session, MRI sequence, scanner upgrade, vendor and field strengths), FreeSurfer segmentation pre-processing variables (image averaging, B1 field inhomogeneity correction) and segmentation analysis variables (probabilistic atlas) on resultant image segmentation volumes from older (n = 15, mean age 69.5) and younger (both n = 5, mean ages 34 and 36.5) healthy subjects. The variability between hippocampal, thalamic, caudate, putamen, lateral ventricular and total intracranial volume measures across sessions on the same scanner on different days is less than 4.3% for the older group and less than 2.3% for the younger group. Within-scanner measurements are remarkably reliable across scan sessions, being minimally affected by averaging of multiple acquisitions, B1 correction, acquisition sequence (MPRAGE vs. multi-echo-FLASH), major scanner upgrades (Sonata-Avanto, Trio-TrioTIM), and segmentation atlas (MPRAGE or multi-echo-FLASH). Volume measurements across platforms (Siemens Sonata vs. GE Signa) and field strengths (1.5 T vs. 3 T) result in a volume difference bias but with a comparable variance as that measured within-scanner, implying that multi-site studies may not necessarily require a much larger sample to detect a specific effect. These results suggest that volumes derived from automated segmentation of T1-weighted structural images are reliable measures within the same scanner platform, even after upgrades; however, combining data across platform and across field-strength introduces a bias that should be considered in the design of multi-site studies, such as clinical drug trials. The results derived from the young groups (scanner upgrade effects and B1 inhomogeneity correction effects) should be considered as preliminary and in need for further validation with a larger dataset. (C) 2009 Elsevier Inc. All rights reserved.

Item Type:	Journal Article
Subjects:	R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry R Medicine
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	NeuroImage
Publisher:	Elsevier
ISSN:	1053-8119
Official Date:	15 May 2009
Dates:	Date Event 15 May 2009 Published
Volume:	Vol.46
Number:	No.1
Number of Pages:	16
Page Range:	pp. 177-192
DOI:	10.1016/j.neuroimage.2009.02.010
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	NCRR Morphometry Biomedical Informatics Research Network, Pfizer Inc., the NIA, the MIND Institute
Grant number:	U24 RR021382, NCRR P41-RR14075, RO1-RR16594-01A1, K23-AG22509, P01-AG04953

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