Literature DB >> 23434601

Method to geometrically personalize a detailed finite-element model of the spine.

Nadine Michèle Lalonde, Yvan Petit, Carl-Eric Aubin, Eric Wagnac, Pierre-Jean Arnoux.   

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.

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Year:  2013        PMID: 23434601     DOI: 10.1109/TBME.2013.2246865

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  1 in total

1.  3D lumbar spine intervertebral disc segmentation and compression simulation from MRI using shape-aware models.

Authors:  Rabia Haq; Rifat Aras; David A Besachio; Roderick C Borgie; Michel A Audette
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07-05       Impact factor: 2.924

  1 in total

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