Image Based Musculoskeletal Modeling Allows Personalized Biomechanical Analysis of Gait

  • Lennart Scheys
  • Ilse Jonkers
  • Dirk Loeckx
  • Frederik Maes
  • Arthur Spaepen
  • Paul Suetens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4072)


This paper describes a workflow, for building detailed, subject-specific musculoskeletal models from magnetic resonance (MR) images allowing enhanced biomechanical analysis of gait. . Bones are segmented semi-automatically using a hybrid approach while muscles attachments are retrieved automatically by atlas-based non-rigid registration followed by optional interactive correction using a user-friendly interface. Compared to previously proposed methods for MR based musculoskeletal modeling, integration of automated image processing procedures and problem-tailored visualization techniques result in a considerable reduction of the processing time, thus making MR-based musculoskeletal modeling practically feasible and more attractive.


Cerebral Palsy Gait Analysis Iterative Close Point Bone Model Biomechanical Analysis 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Lennart Scheys
    • 1
    • 2
  • Ilse Jonkers
    • 2
  • Dirk Loeckx
    • 1
  • Frederik Maes
    • 1
  • Arthur Spaepen
    • 2
  • Paul Suetens
    • 1
  1. 1.Medical Image Computing (ESAT/PSI), Faculties of Medicine and EngineeringUniversity Hospital GasthuisbergLeuvenBelgium
  2. 2.Laboratory of Ergonomics and Occupational Biomechanics (Department of Kinesiology), FABER/K.U.LeuvenLeuvenBelgium

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