Literature DB >> 7096370

Three-dimensional osteometric scaling and normative modelling of skeletal segments.

H J Sommer, N R Miller, G J Pijanowski.   

Abstract

Many analytical biomechanics methods require extensive three-dimensional descriptions of anatomical geometry. In particular, researchers requiring the three-dimensional coordinates of specific boney landmarks (e.g. tendon and ligament attachments) are often forced to extrapolate such measurements from an experimental specimen set to their subject geometry. This work offers an approach to two problems inherent above; accurate extrapolation of specimen landmark locations to subject homologues and statistical accumulation of normative three-dimensional anatomical landmark data bases. A least squares solution for an affine scaling transformation from specimen to subject is used which incorporates both right-left and same hand comparisons. A two stage technique is formulated to consecutively remove landmark location variation and to size a normative specimen from a set of similar specimens. This ability to statistically represent a specimen set will provide better geometric models for other analytical studies and prosthetic design and evaluation.

Mesh:

Year:  1982        PMID: 7096370     DOI: 10.1016/0021-9290(82)90249-4

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Using two palpable measurements improves the subject-specific femoral modeling.

Authors:  Weidong Luo; Steven J Stanhope; Frances T Sheehan
Journal:  J Biomech       Date:  2009-06-10       Impact factor: 2.712

2.  Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models.

Authors:  Daniel Nolte; Chui Kit Tsang; Kai Yu Zhang; Ziyun Ding; Angela E Kedgley; Anthony M J Bull
Journal:  J Biomech       Date:  2016-09-14       Impact factor: 2.712

3.  Development and validation of statistical shape models of the primary functional bone segments of the foot.

Authors:  Tamara M Grant; Laura E Diamond; Claudio Pizzolato; Bryce A Killen; Daniel Devaprakash; Luke Kelly; Jayishni N Maharaj; David J Saxby
Journal:  PeerJ       Date:  2020-02-04       Impact factor: 2.984

  3 in total

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