TY - JOUR
T1 - Accurate, robust, and automated longitudinal and cross-sectional brain change analysis
AU - Smith, Stephen M.
AU - Zhang, Yongyue
AU - Jenkinson, Mark
AU - Chen, Jacqueline
AU - Matthews, P. M.
AU - Federico, Antonio
AU - De Stefano, Nicola
N1 - Funding Information:
S.M.S. and P.M.M. acknowledge funding from the MRC (UK) to support the FMRIB centre; M.J. and N.D.S. were funded by the EC Biomed II programme (MICRODAB).
PY - 2002/9
Y1 - 2002/9
N2 - Quantitative measurement of brain size, shape, and temporal change (for example, in order to estimate atrophy) is increasingly important in biomedical image analysis applications. New methods of structural analysis attempt to improve robustness, accuracy, and extent of automation. A fully automated method of longitudinal (temporal change) analysis, SIENA, was presented previously. In this paper, improvements to this method are described, and also an extension of SIENA to a new method for cross-sectional (single time point) analysis. The methods are fully automated, robust, and accurate: 0.15% brain volume change error (longitudinal): 0.5-1% brain volume accuracy for single-time point (cross-sectional). A particular advantage is the relative insensitivity to differences in scanning parameters. The methods provide easy manual review of their output by the automatic production of summary images which show the results of the brain extraction, registration, tissue segmentation, and final atrophy estimation.
AB - Quantitative measurement of brain size, shape, and temporal change (for example, in order to estimate atrophy) is increasingly important in biomedical image analysis applications. New methods of structural analysis attempt to improve robustness, accuracy, and extent of automation. A fully automated method of longitudinal (temporal change) analysis, SIENA, was presented previously. In this paper, improvements to this method are described, and also an extension of SIENA to a new method for cross-sectional (single time point) analysis. The methods are fully automated, robust, and accurate: 0.15% brain volume change error (longitudinal): 0.5-1% brain volume accuracy for single-time point (cross-sectional). A particular advantage is the relative insensitivity to differences in scanning parameters. The methods provide easy manual review of their output by the automatic production of summary images which show the results of the brain extraction, registration, tissue segmentation, and final atrophy estimation.
KW - Atrophy measurement
KW - Normalized registration
KW - Structural brain analysis
UR - http://www.scopus.com/inward/record.url?scp=0036742197&partnerID=8YFLogxK
U2 - 10.1006/nimg.2002.1040
DO - 10.1006/nimg.2002.1040
M3 - Article
C2 - 12482100
AN - SCOPUS:0036742197
SN - 1053-8119
VL - 17
SP - 479
EP - 489
JO - NeuroImage
JF - NeuroImage
IS - 1
ER -