Literature DB >> 12173760

A three-dimensional, anatomically detailed foot model: a foundation for a finite element simulation and means of quantifying foot-bone position.

Daniel L A Camacho1, William R Ledoux, Eric S Rohr, Bruce J Sangeorzan, Randal P Ching.   

Abstract

We generated an anatomically detailed, three-dimensional (3-D) reconstruction of a human foot from 286 computerized topographic (CT) images. For each bone, 2-D cross-sectional data were obtained and aligned to form a stacked image model. We calculated the inertial matrix of each bone from the stacked image model and used it to determine the principal axes. Relative angles between the principal axes of the bones were employed to describe the shape of the foot, i.e., the relationships between the bones of the foot. A 3-D surface model was generated from the stacked image models and a detailed 3-D mesh for each bone was created. Additionally, the representative geometry of the plantar soft tissue was obtained from the CT scans, while the geometries of the cartilage between bones were obtained from the 3-D surface bone models. This model served dual purposes: it formed the anatomical foundation for a future finite element model of the human foot and we used it to objectively quantify foot shape using the relationships between the principal axes of the foot bones.

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Mesh:

Year:  2002        PMID: 12173760

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  7 in total

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2.  A model for clubfoot based on micro-CT data.

Authors:  Gunther Windisch; Dietmar Salaberger; Walter Rosmarin; Johann Kastner; Gerhard Ulrich Exner; Verena Haldi-Brändle; Friedrich Anderhuber
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3.  Joint-specific distance thresholds for patient-specific approximations of articular cartilage modeling in the first ray of the foot.

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4.  An elaborate data set characterizing the mechanical response of the foot.

Authors:  Ahmet Erdemir; Pavana A Sirimamilla; Jason P Halloran; Antonie J van den Bogert
Journal:  J Biomech Eng       Date:  2009-09       Impact factor: 2.097

5.  Statistical shape models of cuboid, navicular and talus bones.

Authors:  Aleksandra U Melinska; Patryk Romaszkiewicz; Justyna Wagel; Bartlomiej Antosik; Marek Sasiadek; D Robert Iskander
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6.  Prediction of peak pressure from clinical and radiological measurements in patients with diabetes.

Authors:  Nick A Guldemond; Pieter Leffers; Geert H I M Walenkamp; Nicolaas C Schaper; Antal P Sanders; Fred H M Nieman; Lodewijk W van Rhijn
Journal:  BMC Endocr Disord       Date:  2008-12-02       Impact factor: 2.763

7.  Rigid soles improve balance in beam walking, but improvements do not persist with bare feet.

Authors:  Meghan E Huber; Enrico Chiovetto; Martin Giese; Dagmar Sternad
Journal:  Sci Rep       Date:  2020-05-06       Impact factor: 4.379

  7 in total

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