Literature DB >> 24456665

Automatic construction of an anatomical coordinate system for three-dimensional bone models of the lower extremities--pelvis, femur, and tibia.

Shin Kai1, Takashi Sato2, Yoshio Koga2, Go Omori3, Koichi Kobayashi4, Makoto Sakamoto4, Yuji Tanabe5.   

Abstract

Automated methods for constructing patient-specific anatomical coordinate systems (ACSs) for the pelvis, femur and tibia were developed based on the bony geometry of each, derived from computed tomography (CT). The methods used principal axes of inertia, principal component analysis (PCA), cross-sectional area, and spherical and ellipsoidal surface fitting to eliminate the influence of rater's bias on reference landmark selection. Automatic ACSs for the pelvis, femur, and tibia were successfully constructed on each 3D bone model using the developed algorithm. All constructions were performed within 30s; furthermore, between- and within- rater errors were zero for a given CT-based 3D bone model, owing to the automated nature of the algorithm. ACSs recommended by the International Society of Biomechanics (ISB) were compared with the automatically constructed ACS, to evaluate the potential differences caused by the selection of the coordinate system. The pelvis ACSs constructed using the ISB-recommended system were tilted significantly more anteriorly than those constructed automatically (range, 9.6-18.8°). There were no significant differences between the two methods for the femur. For the tibia, significant differences were found in the direction of the anteroposterior axis; the anteroposterior axes identified by ISB were more external than those in the automatic ACS (range, 17.5-25.0°).
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D bone model; Anatomical coordinate system; Computer tomography; Principal Component analysis; Principal axes of inertia

Mesh:

Year:  2013        PMID: 24456665     DOI: 10.1016/j.jbiomech.2013.12.013

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


  8 in total

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Authors:  Stuart C Millar; John B Arnold; Lucian B Solomon; Dominic Thewlis; François Fraysse
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Review 3.  Three-dimensional motion analysis and its application in total knee arthroplasty: what we know, and what we should analyze.

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Authors:  Maximilian C M Fischer; Sonja A G A Grothues; Juliana Habor; Matías de la Fuente; Klaus Radermacher
Journal:  Sci Rep       Date:  2020-11-30       Impact factor: 4.379

6.  Three-Dimensional Analysis of the Curvature of the Femoral Canal in 426 Chinese Femurs.

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Journal:  Biomed Res Int       Date:  2015-10-28       Impact factor: 3.411

7.  A robust method for automatic identification of landmarks on surface models of the pelvis.

Authors:  Maximilian C M Fischer; Felix Krooß; Juliana Habor; Klaus Radermacher
Journal:  Sci Rep       Date:  2019-09-16       Impact factor: 4.379

8.  Tibial Tunnel Placement in ACL Reconstruction Using a Novel Grid and Biplanar Stereoradiographic Imaging.

Authors:  Julien Montreuil; Joseph Saleh; Thierry Cresson; Jacques A De Guise; Frédéric Lavoie
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  8 in total

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