Paper
6 June 2000 Exploratory and confirmatory factor analysis in morphometry
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Abstract
This paper presents a factor analytic approach to morphometry in which strong intercorrelations among a high-dimensional set of shape-related variables are sought. The correlated variables potentially correspond to substructures of anatomy and thus have a natural interpretation. The analysis is based on information about the pointwise size differences between the anatomy depicted in a template image and the anatomy in a subject image, obtained by registering the template to the subject and then calculating the Jacobian determinant of the registration transformation over the image volume. The method is demonstrated in a preliminary study of shape differences between the corpora callosa of schizophrenic patients and normal controls. We show that the regions where these differences occur can be determined by unsupervised analysis, indicating the method's potential for exploratory studies.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexei Manso Correa Machado, James C. Gee, and Mario F.M. Campos "Exploratory and confirmatory factor analysis in morphometry", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387734
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Cited by 1 scholarly publication.
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KEYWORDS
Factor analysis

Principal component analysis

Image registration

Control systems

Image processing

Magnetic resonance imaging

Statistical analysis

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