Helical Axis Data Visualization and Analysis of the Knee Joint Articulation

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Ricardo Manuel Millán Vaquero
  • Alexander Vais
  • Sean Dean Lynch
  • Jan Rzepecki
  • Karl Ingo Friese
  • Christof Hurschler
  • Franz Erich Wolter

Externe Organisationen

  • Medizinische Hochschule Hannover (MHH)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer94501
Seitenumfang9
FachzeitschriftJournal of Biomechanical Engineering
Jahrgang138
Ausgabenummer9
Frühes Online-Datum22 Juli 2016
PublikationsstatusVeröffentlicht - Sept. 2016

Abstract

We present processing methods and visualization techniques for accurately characterizing and interpreting kinematical data of flexion-extension motion of the knee joint based on helical axes. We make use of the Lie group of rigid body motions and particularly its Lie algebra for a natural representation of motion sequences. This allows to analyze and compute the finite helical axis (FHA) and instantaneous helical axis (IHA) in a unified way without redundant degrees of freedom or singularities. A polynomial fitting based on Legendre polynomials within the Lie algebra is applied to provide a smooth description of a given discrete knee motion sequence which is essential for obtaining stable instantaneous helical axes for further analysis. Moreover, this allows for an efficient overall similarity comparison across several motion sequences in order to differentiate among several cases. Our approach combines a specifically designed patient-specific threedimensional visualization basing on the processed helical axes information and incorporating computed tomography (CT) scans for an intuitive interpretation of the axes and their geometrical relation with respect to the knee joint anatomy. In addition, in the context of the study of diseases affecting the musculoskeletal articulation, we propose to integrate the above tools into a multiscale framework for exploring related data sets distributed across multiple spatial scales. We demonstrate the utility of our methods, exemplarily processing a collection of motion sequences acquired from experimental data involving several surgery techniques. Our approach enables an accurate analysis, visualization and comparison of knee joint articulation, contributing to the evaluation and diagnosis in medical applications.

ASJC Scopus Sachgebiete

Zitieren

Helical Axis Data Visualization and Analysis of the Knee Joint Articulation. / Millán Vaquero, Ricardo Manuel; Vais, Alexander; Lynch, Sean Dean et al.
in: Journal of Biomechanical Engineering, Jahrgang 138, Nr. 9, 94501, 09.2016.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Millán Vaquero, RM, Vais, A, Lynch, SD, Rzepecki, J, Friese, KI, Hurschler, C & Wolter, FE 2016, 'Helical Axis Data Visualization and Analysis of the Knee Joint Articulation', Journal of Biomechanical Engineering, Jg. 138, Nr. 9, 94501. https://doi.org/10.1115/1.4034005
Millán Vaquero, R. M., Vais, A., Lynch, S. D., Rzepecki, J., Friese, K. I., Hurschler, C., & Wolter, F. E. (2016). Helical Axis Data Visualization and Analysis of the Knee Joint Articulation. Journal of Biomechanical Engineering, 138(9), Artikel 94501. https://doi.org/10.1115/1.4034005
Millán Vaquero RM, Vais A, Lynch SD, Rzepecki J, Friese KI, Hurschler C et al. Helical Axis Data Visualization and Analysis of the Knee Joint Articulation. Journal of Biomechanical Engineering. 2016 Sep;138(9):94501. Epub 2016 Jul 22. doi: 10.1115/1.4034005
Millán Vaquero, Ricardo Manuel ; Vais, Alexander ; Lynch, Sean Dean et al. / Helical Axis Data Visualization and Analysis of the Knee Joint Articulation. in: Journal of Biomechanical Engineering. 2016 ; Jahrgang 138, Nr. 9.
Download
@article{f8e71733fd5d4e2a9b52fb4cc4345630,
title = "Helical Axis Data Visualization and Analysis of the Knee Joint Articulation",
abstract = "We present processing methods and visualization techniques for accurately characterizing and interpreting kinematical data of flexion-extension motion of the knee joint based on helical axes. We make use of the Lie group of rigid body motions and particularly its Lie algebra for a natural representation of motion sequences. This allows to analyze and compute the finite helical axis (FHA) and instantaneous helical axis (IHA) in a unified way without redundant degrees of freedom or singularities. A polynomial fitting based on Legendre polynomials within the Lie algebra is applied to provide a smooth description of a given discrete knee motion sequence which is essential for obtaining stable instantaneous helical axes for further analysis. Moreover, this allows for an efficient overall similarity comparison across several motion sequences in order to differentiate among several cases. Our approach combines a specifically designed patient-specific threedimensional visualization basing on the processed helical axes information and incorporating computed tomography (CT) scans for an intuitive interpretation of the axes and their geometrical relation with respect to the knee joint anatomy. In addition, in the context of the study of diseases affecting the musculoskeletal articulation, we propose to integrate the above tools into a multiscale framework for exploring related data sets distributed across multiple spatial scales. We demonstrate the utility of our methods, exemplarily processing a collection of motion sequences acquired from experimental data involving several surgery techniques. Our approach enables an accurate analysis, visualization and comparison of knee joint articulation, contributing to the evaluation and diagnosis in medical applications.",
keywords = "helical axis of motion, knee joint, multiscale exploration, rigid body motions, visualization",
author = "{Mill{\'a}n Vaquero}, {Ricardo Manuel} and Alexander Vais and Lynch, {Sean Dean} and Jan Rzepecki and Friese, {Karl Ingo} and Christof Hurschler and Wolter, {Franz Erich}",
note = "Publisher Copyright: {\textcopyright} Copyright 2016 by ASME.",
year = "2016",
month = sep,
doi = "10.1115/1.4034005",
language = "English",
volume = "138",
journal = "Journal of Biomechanical Engineering",
issn = "0148-0731",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "9",

}

Download

TY - JOUR

T1 - Helical Axis Data Visualization and Analysis of the Knee Joint Articulation

AU - Millán Vaquero, Ricardo Manuel

AU - Vais, Alexander

AU - Lynch, Sean Dean

AU - Rzepecki, Jan

AU - Friese, Karl Ingo

AU - Hurschler, Christof

AU - Wolter, Franz Erich

N1 - Publisher Copyright: © Copyright 2016 by ASME.

PY - 2016/9

Y1 - 2016/9

N2 - We present processing methods and visualization techniques for accurately characterizing and interpreting kinematical data of flexion-extension motion of the knee joint based on helical axes. We make use of the Lie group of rigid body motions and particularly its Lie algebra for a natural representation of motion sequences. This allows to analyze and compute the finite helical axis (FHA) and instantaneous helical axis (IHA) in a unified way without redundant degrees of freedom or singularities. A polynomial fitting based on Legendre polynomials within the Lie algebra is applied to provide a smooth description of a given discrete knee motion sequence which is essential for obtaining stable instantaneous helical axes for further analysis. Moreover, this allows for an efficient overall similarity comparison across several motion sequences in order to differentiate among several cases. Our approach combines a specifically designed patient-specific threedimensional visualization basing on the processed helical axes information and incorporating computed tomography (CT) scans for an intuitive interpretation of the axes and their geometrical relation with respect to the knee joint anatomy. In addition, in the context of the study of diseases affecting the musculoskeletal articulation, we propose to integrate the above tools into a multiscale framework for exploring related data sets distributed across multiple spatial scales. We demonstrate the utility of our methods, exemplarily processing a collection of motion sequences acquired from experimental data involving several surgery techniques. Our approach enables an accurate analysis, visualization and comparison of knee joint articulation, contributing to the evaluation and diagnosis in medical applications.

AB - We present processing methods and visualization techniques for accurately characterizing and interpreting kinematical data of flexion-extension motion of the knee joint based on helical axes. We make use of the Lie group of rigid body motions and particularly its Lie algebra for a natural representation of motion sequences. This allows to analyze and compute the finite helical axis (FHA) and instantaneous helical axis (IHA) in a unified way without redundant degrees of freedom or singularities. A polynomial fitting based on Legendre polynomials within the Lie algebra is applied to provide a smooth description of a given discrete knee motion sequence which is essential for obtaining stable instantaneous helical axes for further analysis. Moreover, this allows for an efficient overall similarity comparison across several motion sequences in order to differentiate among several cases. Our approach combines a specifically designed patient-specific threedimensional visualization basing on the processed helical axes information and incorporating computed tomography (CT) scans for an intuitive interpretation of the axes and their geometrical relation with respect to the knee joint anatomy. In addition, in the context of the study of diseases affecting the musculoskeletal articulation, we propose to integrate the above tools into a multiscale framework for exploring related data sets distributed across multiple spatial scales. We demonstrate the utility of our methods, exemplarily processing a collection of motion sequences acquired from experimental data involving several surgery techniques. Our approach enables an accurate analysis, visualization and comparison of knee joint articulation, contributing to the evaluation and diagnosis in medical applications.

KW - helical axis of motion

KW - knee joint

KW - multiscale exploration

KW - rigid body motions

KW - visualization

UR - http://www.scopus.com/inward/record.url?scp=84980350599&partnerID=8YFLogxK

U2 - 10.1115/1.4034005

DO - 10.1115/1.4034005

M3 - Article

C2 - 27367532

AN - SCOPUS:84980350599

VL - 138

JO - Journal of Biomechanical Engineering

JF - Journal of Biomechanical Engineering

SN - 0148-0731

IS - 9

M1 - 94501

ER -