Image based musculoskeletal modeling allows personalized biomechanical analysis of gait

Authors:
Lennart Scheys;Ilse Jonkers;Dirk Loeckx;Frederik Maes;Arthur Spaepen;Paul Suetens
Affiliations:
Medical Image Computing (ESAT/PSI), Faculties of Medicine and Engineering, University Hospital Gasthuisberg, Leuven, Belgium;Laboratory of Ergonomics and Occupational Biomechanics (Department of Kinesiology), FABER/K.U.Leuven, Leuven, Belgium;Medical Image Computing (ESAT/PSI), Faculties of Medicine and Engineering, University Hospital Gasthuisberg, Leuven, Belgium;Medical Image Computing (ESAT/PSI), Faculties of Medicine and Engineering, University Hospital Gasthuisberg, Leuven, Belgium;Laboratory of Ergonomics and Occupational Biomechanics (Department of Kinesiology), FABER/K.U.Leuven, Leuven, Belgium;Medical Image Computing (ESAT/PSI), Faculties of Medicine and Engineering, University Hospital Gasthuisberg, Leuven, Belgium
Venue:
ISBMS'06 Proceedings of the Third international conference on Biomedical Simulation
Year:
2006

Citing 4
Cited 0

Marching cubes: A high resolution 3D surface construction algorithm

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Fast Marching Methods

SIAM Review
Computer-Aided Planning of Patellofemoral Joint OA Surgery: Developin Physical Models from Patient MRI

MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention

Quantified Score

Hi-index	0.00

Visualization

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