TY - JOUR
T1 - An image-processing system for qualitative and quantitative volumetric analysis of brain images
AU - Goldszal, Alberto F.
AU - Davatzikos, Christos
AU - Pham, Dzung L.
AU - Yan, Michelle X.H.
AU - Bryan, R. Nick
AU - Resnick, Susan M.
PY - 1998
Y1 - 1998
N2 - In this work, we developed, implemented, and validated an image- processing system for qualitative and quantitative volumetric analysis of brain images. This system allows the visualization and quantitation of global and regional brain volumes. Global volumes were obtained via an automated adaptive Bayesian segmentation technique that labels the brain into white matter, gray matter, and cerebrospinal fluid. Absolute volumetric errors for these compartments ranged between 1 and 3% as indicated by phantom studies. Quantitation of regional brain volumes was performed through normalization and tessellation of segmented brain images into the Talairach space with a 3D elastic warping model. Retest reliability of regional volumes measured in Talairach space indicated errors of <1.5% for the frontal, parietal, temporal, and occipital brain regions. Additional regional analysis was performed with an automated hybrid method combining a region-of-interest approach and voxel-based analysis, named Regional Analysis of Volumes Examined in Normalized Space (RAVENS). RAVENS analysis for several subcortical structures showed good agreement with operator-defined volumes. This system has sufficient accuracy for longitudinal imaging data and is currently being used in the analysis of neuroimaging data of the Baltimore Longitudinal Study of Aging.
AB - In this work, we developed, implemented, and validated an image- processing system for qualitative and quantitative volumetric analysis of brain images. This system allows the visualization and quantitation of global and regional brain volumes. Global volumes were obtained via an automated adaptive Bayesian segmentation technique that labels the brain into white matter, gray matter, and cerebrospinal fluid. Absolute volumetric errors for these compartments ranged between 1 and 3% as indicated by phantom studies. Quantitation of regional brain volumes was performed through normalization and tessellation of segmented brain images into the Talairach space with a 3D elastic warping model. Retest reliability of regional volumes measured in Talairach space indicated errors of <1.5% for the frontal, parietal, temporal, and occipital brain regions. Additional regional analysis was performed with an automated hybrid method combining a region-of-interest approach and voxel-based analysis, named Regional Analysis of Volumes Examined in Normalized Space (RAVENS). RAVENS analysis for several subcortical structures showed good agreement with operator-defined volumes. This system has sufficient accuracy for longitudinal imaging data and is currently being used in the analysis of neuroimaging data of the Baltimore Longitudinal Study of Aging.
KW - Brain, anatomy
KW - Brain, volume
KW - Image processing
KW - Magnetic resonance imaging
KW - Phantom and phantoms
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U2 - 10.1097/00004728-199809000-00030
DO - 10.1097/00004728-199809000-00030
M3 - Article
C2 - 9754125
AN - SCOPUS:0031716647
SN - 0363-8715
VL - 22
SP - 827
EP - 837
JO - Journal of computer assisted tomography
JF - Journal of computer assisted tomography
IS - 5
ER -