@article{BonarettiMEP2014,
	abstract = {Abstract Statistical appearance models have recently been introduced in bone mechanics to investigate bone geometry and mechanical properties in population studies. The establishment of accurate anatomical correspondences is a critical aspect for the construction of reliable models. Depending on the representation of a bone as an image or a mesh, correspondences are detected using image registration or mesh morphing. The objective of this study was to compare image-based and mesh-based statistical appearance models of the femur for finite element (FE) simulations. To this aim, (i) we compared correspondence detection methods on bone surface and in bone volume; (ii) we created an image-based and a mesh-based statistical appearance models from 130 images, which we validated using compactness, representation and generalization, and we analyzed the \{FE\} results on 50 recreated bones vs. original bones; (iii) we created 1000 new instances, and we compared the quality of the \{FE\} meshes. Results showed that the image-based approach was more accurate in volume correspondence detection and quality of \{FE\} meshes, whereas the mesh-based approach was more accurate for surface correspondence detection and model compactness. Based on our results, we recommend the use of image-based statistical appearance models for \{FE\} simulations of the femur. },
	author = {Bonaretti S. and Seiler C. and Boichon C. and Reyes M. and Buechler P.},
	date-added = {2015-07-03 07:08:21 +0000},
	date-modified = {2015-07-03 12:02:35 +0000},
	doi = {http://dx.doi.org/10.1016/j.medengphy.2014.09.006},
	issn = {1350-4533},
	journal = {Medical Engineering \& Physics},
	keywords = {Femur mechanics},
	number = {12},
	pages = {1626 - 1635},
	title = {Image-based vs. mesh-based statistical appearance models of the human femur: Implications for finite element simulations},
	url = {http://www.sciencedirect.com/science/article/pii/S1350453314002392},
	volume = {36},
	year = {2014},
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	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.medengphy.2014.09.006}}