Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa

Title: Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa
Author(s): Shokouhi, M
Barnes, A
Suckling, J
Moorhead, TW
Brennan, D
Job, D
Lymer, K
Dazzan, P
Reis Marques, T
Mackay, C
McKie, S
Williams, SC
Lawrie, SM
Deakin, B
Williams, SR
Condon, B
Item Type: Journal Article
Abstract: BACKGROUND: Brain morphometry is extensively used in cross-sectional studies. However, the difference in the estimated values of the morphometric measures between patients and healthy subjects may be small and hence overshadowed by the scanner-related variability, especially with multicentre and longitudinal studies. It is important therefore to investigate the variability and reliability of morphometric measurements between different scanners and different sessions of the same scanner. METHODS: We assessed the variability and reliability for the grey matter, white matter, cerebrospinal fluid and cerebral hemisphere volumes as well as the global sulcal index, sulcal surface and mean geodesic depth using Brainvisa. We used datasets obtained across multiple MR scanners at 1.5 T and 3 T from the same groups of 13 and 11 healthy volunteers, respectively. For each morphometric measure, we conducted ANOVA analysis and verified whether the estimated values were significantly different across different scanners or different sessions of the same scanner. The between-centre and between-visit reliabilities were estimated from their contribution to the total variance, using a random-effects ANOVA model. To estimate the main processes responsible for low reliability, the results of brain segmentation were compared to those obtained using FAST within FSL. RESULTS: In a considerable number of cases, the main effects of both centre and visit factors were found to be significant. Moreover, both between-centre and between-visit reliabilities ranged from poor to excellent for most morphometric measures. A comparison between segmentation using Brainvisa and FAST revealed that FAST improved the reliabilities for most cases, suggesting that morphometry could benefit from improving the bias correction. However, the results were still significantly different across different scanners or different visits. CONCLUSIONS: Our results confirm that for morphometry analysis with the current version of Brainvisa using data from multicentre or longitudinal studies, the scanner-related variability must be taken into account and where possible should be corrected for. We also suggest providing some flexibility to Brainvisa for a step-by-step analysis of the robustness of this package in terms of reproducibility of the results by allowing the bias corrected images to be imported from other packages and bias correction step be skipped, for example.
Publication Date: 21-Dec-2011
Date of Acceptance: 21-Dec-2011
ISSN: 1471-2342
Publisher: BioMed Central
Journal / Book Title: BMC Medical Imaging
Volume: 11
Copyright Statement: This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Adult
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Middle Aged
Reproducibility of Results
Young Adult
Magnetic Resonance Imaging
Reproducibility of Results
Image Processing, Computer-Assisted
Middle Aged
Young Adult
Nuclear Medicine & Medical Imaging
1103 Clinical Sciences
Publication Status: Published
Article Number: 23
Appears in Collections:Clinical Sciences
Imaging Sciences
Faculty of Medicine

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