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Statistical Shape Analysis and Usage in Medical Sciences: Review

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Author(s): İlker ERCAN | Gökhan OCAKOĞLU | Deniz SIĞIRLI | Güven ÖZKAYA

Journal: Turkiye Klinikleri Journal of Biostatistics
ISSN 1308-7894

Volume: 4;
Issue: 1;
Start page: 27;
Date: 2012;
Original page

Keywords: Statistical shape analysis | landmark | TPS | EDMA | procrustes analysis | asymmetry | classification | growth | allometry

ABSTRACT
Most of the studies in medicine are releated with the examination of geometrical properties of an organ or organism. Commonly, quantitative or qualitative data sets in the statistical analysis consisted of measuring values, today\s an organ or organism\s appearance or shape began to be used as input data by the development of imaging techniques. In recent years, it is observed that there has been considerable interest in the statistical analysis of shape. Statistical shape analysis is a geometrical analysis of the statistics measured from sets of shapes that determines the features of similar shapes or of different groups comprising similar shapes. Distance between shapes, mean shape and shape variation can be predicted and obtained using statistical shape analysis. Two groups comparison, asymmetry, growth and allometry studies can be given as example for the most used statistical shape analysis applications. Thin Plate Spline analysis, Procrustes analysis and Euclidean Distance Matrix Analysis can be given as examples of frequently used methods in statistical shape analysis. Examining shape differences between groups, shape deformation, examining asymmetry, classification, growth and allometry studies can be given as examples of statistical shape analysis applications in medicine. The last two decades, a growing interest in the use of statistical shape analysis has been observed in the field of medicine. The main reasons for statistical shape analysis is used widely in medicine are advances in imaging technology, and tendency to investigate the effects of diseases and the environmental factors effects on the structure of the organ or organism.
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