Statistical shape modelling of hip and lumbar spine morphology and their relationship in the MRC National Survey of Health and Development.

ABSTRACT: The anatomical shape of bones and joints is important for their proper function but quantifying this, and detecting pathological variations, is difficult to do. Numerical descriptions would also enable correlations between joint shapes to be explored. Statistical shape modelling (SSM) is a method of image analysis employing pattern recognition statistics to describe and quantify such shapes from images; it uses principal components analysis to generate modes of variation describing each image in terms of a set of numerical scores after removing global size variation. We used SSM to quantify the shapes of the hip and the lumbar spine in dual-energy x-ray absorptiometry (DXA) images from 1511 individuals in the MRC National Survey of Health and Development at ages 60-64 years. We compared sh

SUBMITTER: Pavlova AV 

PROVIDER: S-EPMC5522893 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature