ITEM METADATA RECORD
Title: Image based musculoskeletal modeling allows personalized biomechanical analysis of gait
Authors: Scheys, Lennart ×
Jonkers, Ilse
Loeckx, Dirk
Maes, Frederik
Spaepen, Arthur
Suetens, Paul #
Issue Date: 2006
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:4072 pages:58-66
Conference: 3rd symposium on biomedical simulation location:Zurich, Switzerland date:July 10-11, 2006
Abstract: 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.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Movement Control & Neuroplasticity Research Group
ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

Files in This Item:
File Status SizeFormat
Scheys06LNCS.pdf Published 465KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science