Multi-body optimization with subject-specific knee models: performance at high knee flexion angles

Charbonnier, Caecilia; Chague, Sylvain; Kolo Christophe, Frank; Duthon, Victoria Lysiane Agnes; Menetrey, Jacques

doi:10.1080/10255842.2017.1390568

Scientific article

English

Multi-body optimization with subject-specific knee models: performance at high knee flexion angles

Contributors

Charbonnier, Caecilia

; Chague, Sylvain; Kolo Christophe, Frank; Duthon, Victoria Lysiane Agnes; Menetrey, Jacques

Published in

Computer Methods in Biomechanics and Biomedical Engineering, p. 1-9

Publication date

2017

Abstract

When estimating knee kinematics from skin markers and stereophotogrammetry, multi-body optimization (MBO) has provided promising results for reducing soft tissue artefacts (STA), but can still be improved. The goal of this study was to assess the performance of MBO with subject-specific knee models at high knee flexion angles (up to 110°) against knee joint kinematics measured by magnetic resonance imaging. Eight subjects were recruited. MBO with subject-specific knee models was more effective in compensating STA compared to no kinematic and spherical constraints, in particular for joint displacements. Moreover, it seems to be more reliable over large ranges of knee flexion angle. The ranges of root mean square errors for knee rotations/displacements were 3.0°-9.2°/1.3-3.5 mm for subject-specific knee models, 6.8°-8.7°/6.0-12.4 mm without kinematic constraint and 7.1°-9.8°/4.9-12.5 mm for spherical constraints.

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

CHARBONNIER, Caecilia et al. Multi-body optimization with subject-specific knee models: performance at high knee flexion angles. In: Computer Methods in Biomechanics and Biomedical Engineering, 2017, p. 1–9. doi: 10.1080/10255842.2017.1390568

Article (Published version)

Identifiers

PID : unige:98976
DOI : 10.1080/10255842.2017.1390568
PMID : 29072966

Journal ISSN

1025-5842

507views

1downloads

Creation

07/11/2017 09:03:00

First validation

07/11/2017 09:03:00

Update

30/04/2026 11:55:05

Status update

30/04/2026 11:55:05

Last indexation

06/07/2026 14:02:31

Multi-body optimization with subject-specific knee models: performance at high knee flexion angles

Contributors

Published in

Publication date

Abstract

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

Main files (1)

Identifiers

Journal ISSN

Technical informations

Creation

First validation

Update

Status update

Last indexation