DocumentCode
63152
Title
Method to Geometrically Personalize a Detailed Finite-Element Model of the Spine
Author
Lalonde, Nadine Michele ; Petit, Y. ; Aubin, C. ; Wagnac, E. ; Arnoux, P.
Author_Institution
IFSTTAR, Aix-Marseille Univ., Marseille, France
Volume
60
Issue
7
fYear
2013
fDate
Jul-13
Firstpage
2014
Lastpage
2021
Abstract
To date, developing geometrically personalized and detailed solid finite-element models (FEMs) of the spine remains a challenge, notably due to multiple articulations and complex geometries. To answer this problem, a methodology based on a free-form deformation technique (kriging) was developed to deform a detailed reference finite-element mesh of the spine (including discs and ligaments) to the patient-specific geometry of 10- and 82-year-old asymptomatic spines. Different kriging configurations were tested: with or without smoothing, and control points on or surrounding the entire mesh. Based on the results, it is recommended to use surrounding control points and smoothing. The mean node to surface distance between the deformed and target geometries was 0.3 ± 1.1 mm. Most elements met the mesh quality criteria (95%) after deformation, without interference at the articular facets. The method´s novelty lies in the deformation of the entire spine at once, as opposed to deforming each vertebra separately, with surrounding control points and smoothing. This enables the transformation of reference vertebrae and soft tissues to obtain complete and personalized FEMs of the spine with minimal postprocessing to optimize the mesh.
Keywords
biological tissues; biomechanics; deformation; finite element analysis; neurophysiology; statistical analysis; finite element mesh; finite element model; free-form deformation technique; geometry deformation; kriging configurations; patient-specific geometry; soft tissues; spine discs; spine ligaments; vertebra; Biological system modeling; Computational modeling; Deformable models; Finite element methods; Ligaments; Smoothing methods; Solid modeling; Biomechanics; finite elements; kriging; spine; Aged, 80 and over; Child; Computer Simulation; Female; Finite Element Analysis; Humans; Intervertebral Disc; Lumbar Vertebrae; Male; Models, Anatomic; Models, Biological;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2013.2246865
Filename
6466373
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