Reconstruction of the lower limb bones from digitised anatomical landmarks using statistical shape modelling.

ABSTRACT:

Background

Bone shapes strongly influence force and moment predictions of kinematic and musculoskeletal models used in motion analysis. The precise determination of joint reference frames is essential for accurate predictions. Since clinical motion analysis typically does not include medical imaging, from which bone shapes may be obtained, scaling methods using reference subjects to create subject-specific bone geometries are widely used.

Research question

This study investigated if lower limb bone shape predictions from skin-based measurements, utilising an underlying statistical shape model (SSM) that corrects for soft tissue artefacts in digitisation, can be used to improve conventional linear scaling methods of bone geometries.

Methods

SSMs created from 35 healthy

SUBMITTER: Nolte D 

PROVIDER: S-EPMC7090904 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature