Gender-specific statistical shape model of the femur for automated image-based anatomic parameter measurements

Créé le : 16/06/2014

MT Bah, J. Shi, Y. Suchier, F. Lefebvre, P. Young, M. Browne, D. Dunlop, L. King, MO Heller - 01/10/2013 - RC - 26th annual congress of the international society for technology in arthroplasty  (ISTA) - 16-19 octobre 2013 - Floride…

This work was motivated by the need to capture the spectrum of anatomical shape variability rather than relying on analyses of single bones. A novel tool was developed that combines image-based modelling with statistical shape analysis to automatically generate and measure anatomical parameters to capture the variability across the population. To demonstrate the feasibility of the approach, the study used data from 62 subjects (31 female) aged between 43 and 106 years, with CT voxel size ranging 0.488x0.488x1.5mm to 0.7422x0.7422x0.97mm.

The CT scans were divided into female and male subgroups and high-quality subject-specific tetrahedral finite element (FE) models resulting from segmented femurs formed the so-called training samples. The Visible Human femur model [Spitzer, 1996] was used as a source mesh (25580 nodes, 51156 triangles) for elastic surface registration of each of the target male and female patients in the dataset, followed by applying a mesh morphing strategy.

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Fabien Lefebvre
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