Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations

procedure development using CaliBrain structural MRI data

T William J Moorhead, Viktoria-Eleni Gountouna, Dominic E Job, Andrew M McIntosh, Liana Romaniuk, G Katherine S Lymer, Heather C Whalley, Gordon D Waiter, David Brennan, Trevor S Ahearn, Jonathan Cavanagh, Barrie Condon, J Douglas Steele, Joanna M Wardlaw, Stephen M Lawrie

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Abstract

BACKGROUND: Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from multiple centres. The CaliBrain project was designed to provide for an assessment of scanner differences at three centres in Scotland, and to assess the practicality of pooling scans from multiple-centres. METHODS: We scanned healthy subjects twice on each of the 3 scanners in the CaliBrain project with T1-weighted sequences. The tissue classifier supplied within the Statistical Parametric Mapping (SPM5) application was used to map the grey and white tissue for each scan. We were thus able to assess within scanner variability and between scanner differences. We have sought to correct for between scanner differences by adjusting the probability mappings of tissue occupancy (tissue priors) used in SPM5 for tissue classification. The adjustment procedure resulted in separate sets of tissue priors being developed for each scanner and we refer to these as scanner specific priors. RESULTS: Voxel Based Morphometry (VBM) analyses and metric tests indicated that the use of scanner specific priors reduced tissue classification differences between scanners. However, the metric results also demonstrated that the between scanner differences were not reduced to the level of within scanner variability, the ideal for scanner harmonisation. CONCLUSION: Our results indicate the development of scanner specific priors for SPM can assist in pooling of scan resources from different research centres. This can facilitate improvements in the statistical power of quantitative brain imaging studies.
Original languageEnglish
Article number8
Number of pages12
JournalBMC Medical Imaging
Volume9
DOIs
Publication statusPublished - 15 May 2009

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Scotland
Neuroimaging
Healthy Volunteers
Magnetic Resonance Imaging
Brain
Research

Keywords

  • adult
  • brain
  • calibration
  • female
  • Great Britain
  • humans
  • image enhancement
  • image interpretation, computer-assisted
  • imaging, three-dimensional
  • magnetic resonance imaging
  • male
  • middle aged
  • prospective studies
  • quality assurance, health care
  • reference values
  • reproducibility of results
  • sensitivity and specificity

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Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations : procedure development using CaliBrain structural MRI data. / Moorhead, T William J; Gountouna, Viktoria-Eleni; Job, Dominic E; McIntosh, Andrew M; Romaniuk, Liana; Lymer, G Katherine S; Whalley, Heather C; Waiter, Gordon D; Brennan, David; Ahearn, Trevor S; Cavanagh, Jonathan; Condon, Barrie; Steele, J Douglas; Wardlaw, Joanna M; Lawrie, Stephen M.

In: BMC Medical Imaging, Vol. 9, 8, 15.05.2009.

Research output: Contribution to journalArticle

Moorhead, TWJ, Gountouna, V-E, Job, DE, McIntosh, AM, Romaniuk, L, Lymer, GKS, Whalley, HC, Waiter, GD, Brennan, D, Ahearn, TS, Cavanagh, J, Condon, B, Steele, JD, Wardlaw, JM & Lawrie, SM 2009, 'Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: procedure development using CaliBrain structural MRI data', BMC Medical Imaging, vol. 9, 8. https://doi.org/10.1186/1471-2342-9-8
Moorhead, T William J ; Gountouna, Viktoria-Eleni ; Job, Dominic E ; McIntosh, Andrew M ; Romaniuk, Liana ; Lymer, G Katherine S ; Whalley, Heather C ; Waiter, Gordon D ; Brennan, David ; Ahearn, Trevor S ; Cavanagh, Jonathan ; Condon, Barrie ; Steele, J Douglas ; Wardlaw, Joanna M ; Lawrie, Stephen M. / Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations : procedure development using CaliBrain structural MRI data. In: BMC Medical Imaging. 2009 ; Vol. 9.
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abstract = "BACKGROUND: Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from multiple centres. The CaliBrain project was designed to provide for an assessment of scanner differences at three centres in Scotland, and to assess the practicality of pooling scans from multiple-centres. METHODS: We scanned healthy subjects twice on each of the 3 scanners in the CaliBrain project with T1-weighted sequences. The tissue classifier supplied within the Statistical Parametric Mapping (SPM5) application was used to map the grey and white tissue for each scan. We were thus able to assess within scanner variability and between scanner differences. We have sought to correct for between scanner differences by adjusting the probability mappings of tissue occupancy (tissue priors) used in SPM5 for tissue classification. The adjustment procedure resulted in separate sets of tissue priors being developed for each scanner and we refer to these as scanner specific priors. RESULTS: Voxel Based Morphometry (VBM) analyses and metric tests indicated that the use of scanner specific priors reduced tissue classification differences between scanners. However, the metric results also demonstrated that the between scanner differences were not reduced to the level of within scanner variability, the ideal for scanner harmonisation. CONCLUSION: Our results indicate the development of scanner specific priors for SPM can assist in pooling of scan resources from different research centres. This can facilitate improvements in the statistical power of quantitative brain imaging studies.",
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T1 - Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations

T2 - procedure development using CaliBrain structural MRI data

AU - Moorhead, T William J

AU - Gountouna, Viktoria-Eleni

AU - Job, Dominic E

AU - McIntosh, Andrew M

AU - Romaniuk, Liana

AU - Lymer, G Katherine S

AU - Whalley, Heather C

AU - Waiter, Gordon D

AU - Brennan, David

AU - Ahearn, Trevor S

AU - Cavanagh, Jonathan

AU - Condon, Barrie

AU - Steele, J Douglas

AU - Wardlaw, Joanna M

AU - Lawrie, Stephen M

PY - 2009/5/15

Y1 - 2009/5/15

N2 - BACKGROUND: Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from multiple centres. The CaliBrain project was designed to provide for an assessment of scanner differences at three centres in Scotland, and to assess the practicality of pooling scans from multiple-centres. METHODS: We scanned healthy subjects twice on each of the 3 scanners in the CaliBrain project with T1-weighted sequences. The tissue classifier supplied within the Statistical Parametric Mapping (SPM5) application was used to map the grey and white tissue for each scan. We were thus able to assess within scanner variability and between scanner differences. We have sought to correct for between scanner differences by adjusting the probability mappings of tissue occupancy (tissue priors) used in SPM5 for tissue classification. The adjustment procedure resulted in separate sets of tissue priors being developed for each scanner and we refer to these as scanner specific priors. RESULTS: Voxel Based Morphometry (VBM) analyses and metric tests indicated that the use of scanner specific priors reduced tissue classification differences between scanners. However, the metric results also demonstrated that the between scanner differences were not reduced to the level of within scanner variability, the ideal for scanner harmonisation. CONCLUSION: Our results indicate the development of scanner specific priors for SPM can assist in pooling of scan resources from different research centres. This can facilitate improvements in the statistical power of quantitative brain imaging studies.

AB - BACKGROUND: Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from multiple centres. The CaliBrain project was designed to provide for an assessment of scanner differences at three centres in Scotland, and to assess the practicality of pooling scans from multiple-centres. METHODS: We scanned healthy subjects twice on each of the 3 scanners in the CaliBrain project with T1-weighted sequences. The tissue classifier supplied within the Statistical Parametric Mapping (SPM5) application was used to map the grey and white tissue for each scan. We were thus able to assess within scanner variability and between scanner differences. We have sought to correct for between scanner differences by adjusting the probability mappings of tissue occupancy (tissue priors) used in SPM5 for tissue classification. The adjustment procedure resulted in separate sets of tissue priors being developed for each scanner and we refer to these as scanner specific priors. RESULTS: Voxel Based Morphometry (VBM) analyses and metric tests indicated that the use of scanner specific priors reduced tissue classification differences between scanners. However, the metric results also demonstrated that the between scanner differences were not reduced to the level of within scanner variability, the ideal for scanner harmonisation. CONCLUSION: Our results indicate the development of scanner specific priors for SPM can assist in pooling of scan resources from different research centres. This can facilitate improvements in the statistical power of quantitative brain imaging studies.

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KW - brain

KW - calibration

KW - female

KW - Great Britain

KW - humans

KW - image enhancement

KW - image interpretation, computer-assisted

KW - imaging, three-dimensional

KW - magnetic resonance imaging

KW - male

KW - middle aged

KW - prospective studies

KW - quality assurance, health care

KW - reference values

KW - reproducibility of results

KW - sensitivity and specificity

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DO - 10.1186/1471-2342-9-8

M3 - Article

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JO - BMC Medical Imaging

JF - BMC Medical Imaging

SN - 1471-2342

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ER -