Double-step registration of in vivo stereophotogrammetry with both in vitro 6-DOFs electrogoniometry and CT medical imaging

Victor Sholukha, Alberto Leardini, Patrick Salvia, Marcel Rooze, Serge Van Sint Jan

Research output: Contribution to journalArticle

Abstract

Standard registration techniques of bone morphology to motion analysis data often lead to unsatisfactory motion simulation because of discrepancies during the location of anatomical landmarks in the datasets. This paper describes an iterative registration method of a three-dimensional (3D) skeletal model with both 6 degrees-of-freedom joint kinematics and standard motion analysis data. The method is demonstrated in this paper on the lower limb. The method includes two steps. A primary registration allowed synchronization of in vitro kinematics of the knee and ankle joints using flexion/extension angles from in vivo gait analysis. Results from primary registration were then improved by a so-called advanced registration, which integrated external constraints obtained from experimental gait pre-knowledge. One cadaver specimen was analyzed to obtain both joint kinematics of knee and ankle joints using 3D electrogoniometry, and 3D bone morphology from medical imaging data. These data were registered with motion analysis data from a volunteer during the execution of locomotor tasks. Computer graphics output was implemented to visualize the results for a motion of sitting on a chair. Final registration results allowed the observation of both in vivo motion data and joint kinematics from the synchronized specimen data. The method improved interpretation of gait analysis data, thanks to the combination of realistic 3D bone models and joint mechanism. This method should be of interest both for research in gait analysis and medical education. Validation of the overall method was performed using RMS of the differences between bone poses estimated after registration and original data from motion analysis.

Original languageEnglish
Pages (from-to)2087-2095
Number of pages9
JournalJournal of Biomechanics
Volume39
Issue number11
DOIs
Publication statusPublished - 2006

Fingerprint

Photogrammetry
Medical imaging
Diagnostic Imaging
Gait analysis
Bone
Kinematics
Gait
Biomechanical Phenomena
Joints
Bone and Bones
Medical education
Ankle Joint
Knee Joint
Degrees of freedom (mechanics)
Computer graphics
Synchronization
Computer Graphics
Medical Education
In Vitro Techniques
Motion analysis

Keywords

  • 3D modeling
  • Electrogoniometry
  • Medical imaging
  • Motion analysis
  • Registration

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine

Cite this

Double-step registration of in vivo stereophotogrammetry with both in vitro 6-DOFs electrogoniometry and CT medical imaging. / Sholukha, Victor; Leardini, Alberto; Salvia, Patrick; Rooze, Marcel; Van Sint Jan, Serge.

In: Journal of Biomechanics, Vol. 39, No. 11, 2006, p. 2087-2095.

Research output: Contribution to journalArticle

Sholukha, Victor ; Leardini, Alberto ; Salvia, Patrick ; Rooze, Marcel ; Van Sint Jan, Serge. / Double-step registration of in vivo stereophotogrammetry with both in vitro 6-DOFs electrogoniometry and CT medical imaging. In: Journal of Biomechanics. 2006 ; Vol. 39, No. 11. pp. 2087-2095.
@article{09f45fc5606b4ca98031337fd08ea56a,
title = "Double-step registration of in vivo stereophotogrammetry with both in vitro 6-DOFs electrogoniometry and CT medical imaging",
abstract = "Standard registration techniques of bone morphology to motion analysis data often lead to unsatisfactory motion simulation because of discrepancies during the location of anatomical landmarks in the datasets. This paper describes an iterative registration method of a three-dimensional (3D) skeletal model with both 6 degrees-of-freedom joint kinematics and standard motion analysis data. The method is demonstrated in this paper on the lower limb. The method includes two steps. A primary registration allowed synchronization of in vitro kinematics of the knee and ankle joints using flexion/extension angles from in vivo gait analysis. Results from primary registration were then improved by a so-called advanced registration, which integrated external constraints obtained from experimental gait pre-knowledge. One cadaver specimen was analyzed to obtain both joint kinematics of knee and ankle joints using 3D electrogoniometry, and 3D bone morphology from medical imaging data. These data were registered with motion analysis data from a volunteer during the execution of locomotor tasks. Computer graphics output was implemented to visualize the results for a motion of sitting on a chair. Final registration results allowed the observation of both in vivo motion data and joint kinematics from the synchronized specimen data. The method improved interpretation of gait analysis data, thanks to the combination of realistic 3D bone models and joint mechanism. This method should be of interest both for research in gait analysis and medical education. Validation of the overall method was performed using RMS of the differences between bone poses estimated after registration and original data from motion analysis.",
keywords = "3D modeling, Electrogoniometry, Medical imaging, Motion analysis, Registration",
author = "Victor Sholukha and Alberto Leardini and Patrick Salvia and Marcel Rooze and {Van Sint Jan}, Serge",
year = "2006",
doi = "10.1016/j.jbiomech.2005.06.014",
language = "English",
volume = "39",
pages = "2087--2095",
journal = "Journal of Biomechanics",
issn = "0021-9290",
publisher = "Elsevier Limited",
number = "11",

}

TY - JOUR

T1 - Double-step registration of in vivo stereophotogrammetry with both in vitro 6-DOFs electrogoniometry and CT medical imaging

AU - Sholukha, Victor

AU - Leardini, Alberto

AU - Salvia, Patrick

AU - Rooze, Marcel

AU - Van Sint Jan, Serge

PY - 2006

Y1 - 2006

N2 - Standard registration techniques of bone morphology to motion analysis data often lead to unsatisfactory motion simulation because of discrepancies during the location of anatomical landmarks in the datasets. This paper describes an iterative registration method of a three-dimensional (3D) skeletal model with both 6 degrees-of-freedom joint kinematics and standard motion analysis data. The method is demonstrated in this paper on the lower limb. The method includes two steps. A primary registration allowed synchronization of in vitro kinematics of the knee and ankle joints using flexion/extension angles from in vivo gait analysis. Results from primary registration were then improved by a so-called advanced registration, which integrated external constraints obtained from experimental gait pre-knowledge. One cadaver specimen was analyzed to obtain both joint kinematics of knee and ankle joints using 3D electrogoniometry, and 3D bone morphology from medical imaging data. These data were registered with motion analysis data from a volunteer during the execution of locomotor tasks. Computer graphics output was implemented to visualize the results for a motion of sitting on a chair. Final registration results allowed the observation of both in vivo motion data and joint kinematics from the synchronized specimen data. The method improved interpretation of gait analysis data, thanks to the combination of realistic 3D bone models and joint mechanism. This method should be of interest both for research in gait analysis and medical education. Validation of the overall method was performed using RMS of the differences between bone poses estimated after registration and original data from motion analysis.

AB - Standard registration techniques of bone morphology to motion analysis data often lead to unsatisfactory motion simulation because of discrepancies during the location of anatomical landmarks in the datasets. This paper describes an iterative registration method of a three-dimensional (3D) skeletal model with both 6 degrees-of-freedom joint kinematics and standard motion analysis data. The method is demonstrated in this paper on the lower limb. The method includes two steps. A primary registration allowed synchronization of in vitro kinematics of the knee and ankle joints using flexion/extension angles from in vivo gait analysis. Results from primary registration were then improved by a so-called advanced registration, which integrated external constraints obtained from experimental gait pre-knowledge. One cadaver specimen was analyzed to obtain both joint kinematics of knee and ankle joints using 3D electrogoniometry, and 3D bone morphology from medical imaging data. These data were registered with motion analysis data from a volunteer during the execution of locomotor tasks. Computer graphics output was implemented to visualize the results for a motion of sitting on a chair. Final registration results allowed the observation of both in vivo motion data and joint kinematics from the synchronized specimen data. The method improved interpretation of gait analysis data, thanks to the combination of realistic 3D bone models and joint mechanism. This method should be of interest both for research in gait analysis and medical education. Validation of the overall method was performed using RMS of the differences between bone poses estimated after registration and original data from motion analysis.

KW - 3D modeling

KW - Electrogoniometry

KW - Medical imaging

KW - Motion analysis

KW - Registration

UR - http://www.scopus.com/inward/record.url?scp=33745956269&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745956269&partnerID=8YFLogxK

U2 - 10.1016/j.jbiomech.2005.06.014

DO - 10.1016/j.jbiomech.2005.06.014

M3 - Article

C2 - 16085076

AN - SCOPUS:33745956269

VL - 39

SP - 2087

EP - 2095

JO - Journal of Biomechanics

JF - Journal of Biomechanics

SN - 0021-9290

IS - 11

ER -