Separating positional noise from neutral alignment in multicomponent statistical shape models.

Autor:	Audenaert EA; Department of Orthopedic Surgery and Traumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.; Department of Human Structure and Repair, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium.; Department of Trauma and Orthopedics, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge CB2 0QQ, UK.; Department of Electromechanics, Op3Mech research group, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium., Van den Eynde J; Department of Human Structure and Repair, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium., de Almeida DF; Centre for Rapid and Sustainable Product Development, Polytechnic Institute of Leiria, Portugal., Steenackers G; Department of Electromechanics, Op3Mech research group, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium., Vandermeulen D; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Kasteelpark Arenberg 10, box 2441, 3001 Leuven, Belgium.; Department of Human Genetics, KU Leuven, Herestraat 49, box 602, 3000 Leuven, Belgium., Claes P; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Kasteelpark Arenberg 10, box 2441, 3001 Leuven, Belgium.; Department of Human Genetics, KU Leuven, Herestraat 49, box 602, 3000 Leuven, Belgium.; Murdoch Children's Research Institute, Royal Children's Hospital, Flemington Rd, Parkville 3052, Melbourne, Victoria, Australia.; Department of Biomedical Engineering, University of Oxford, Old Road Campus Research Building, Headington, Oxford OX3 7DQ, United Kingdom.; Medical Imaging Research Center, MIRC, University Hospitals Leuven, Herestraat 49 - 7003, 3000 Leuven, Belgium.
Jazyk:	angličtina
Zdroj:	Bone reports [Bone Rep] 2020 Jan 11; Vol. 12, pp. 100243. Date of Electronic Publication: 2020 Jan 11 (Print Publication: 2020).
DOI:	10.1016/j.bonr.2020.100243
Abstrakt:	Given sufficient training samples, statistical shape models can provide detailed population representations for use in anthropological and computational genetic studies, injury biomechanics, musculoskeletal disease models or implant design optimization. While the technique has become extremely popular for the description of isolated anatomical structures, it suffers from positional interference when applied to coupled or articulated input data. In the present manuscript we describe and validate a novel approach to extract positional noise from such coupled data. The technique was first validated and then implemented in a multicomponent model of the lower limb. The impact of noise on the model itself as well as on the description of sexual dimorphism was evaluated. The novelty of our methodology lies in the fact that no rigid transformations are calculated or imposed on the data by means of idealized joint definitions and by extension the models obtained from them. Competing Interests: The authors declare that they have no competing interests that could inappropriately influence this work. (© 2020 The Authors.)
Databáze:	MEDLINE
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