1996
DOI: 10.1097/00004728-199601000-00018
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Automatic Atlas-Based Volume Estimation of Human Brain Regions from MR Images

Abstract: The automatic atlas-based method for measuring the volume of brain subregions produces results that are similar to manual techniques. The method is rapid, efficient, unbiased, and not subject to the problems of rater drift or potentially poor interrater reliability that plague manual methods. Consequently, this method may be very useful for the study of structure-function relationships in the human brain.

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Cited by 294 publications
(197 citation statements)
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“…MRIs were acquired at the University of Wisconsin and were processed using a semiautomated software package, that is, Brain Research: Analysis of Images, Networks, and Systems (BRAINS 2; Andreasen et al, 1996;Harris et al, 1999). For the current study, neuroimaging analyses were conducted blinded to group status and clinical 0 sociodemographic characteristics of the subjects.…”
Section: Mri Protocolmentioning
confidence: 99%
See 1 more Smart Citation
“…MRIs were acquired at the University of Wisconsin and were processed using a semiautomated software package, that is, Brain Research: Analysis of Images, Networks, and Systems (BRAINS 2; Andreasen et al, 1996;Harris et al, 1999). For the current study, neuroimaging analyses were conducted blinded to group status and clinical 0 sociodemographic characteristics of the subjects.…”
Section: Mri Protocolmentioning
confidence: 99%
“…Manual inspection and correction of the output of the neural network tracing was conducted. The BRAINS2 software and procedures have been shown to be of high inter-rater reliability, intrarater reliability, and scan-rescan reproducibility (Andreasen et al, 1996;Harris et al, 1999;Magnotta et al, 1999aMagnotta et al, , 2002. MRI regions of interest for this investigation included the hippocampus and thalamus.…”
Section: Mri Protocolmentioning
confidence: 99%
“…75 These images were then subjected to a linear transformation into standardized stereotaxic Talairach atlas space 76 to generate automated measurements of frontal, temporal, parietal, and occipital lobes, cerebellum, and subcortical regions. 77 To further classify tissue volumes into gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), we employed a discriminant analysis method of tissue segmentation based on automated training class selection that utilized data from the T1, T2 and PD sequences. 78 In this study, we examined frontal lobe GM, WM and CSF volumes.…”
Section: Mri Acquisition and Image Processingmentioning
confidence: 99%
“…The image was re-sampled to this new orientation and re-sliced to an isotropic resolution of 1.0 mm. Automated Talairach-regionbased structure identification for definition of major brain regions, including frontal, temporal, parietal, occipital, subcortical, ventricles, and cerebellum, was conducted (Andreasen et al, 1996). This method relies on a piecewise linear transformation of the Talairach grid onto the area of interest.…”
Section: Anatomical Mri and Morphometric Proceduresmentioning
confidence: 99%