Patient-Specific Modeling Based on the X-ray CT Images(New Meshing Algorithm Considering Bony Shape and Density)

Koseki, Michihiko; Jonishi, Masaya; Inou, Norio; Maki, Koutarou

doi:10.1299/kikaic.72.1470

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A boundary constrained Delaunay triangulation procedure 3), 6) can create a FEM mesh with multiple phases such as cortical and spongy bones from the 3D-CT image through the nodal point distribution process and deletion of unnecessary elements produced in the concave region. And the mesh geometry could be optimized for more accurate mechanical information with less computing time and efforts 4) . There is another method that uses a template 5) , which is transferred to fit the polygonal images.…”

Section: Introductionmentioning

confidence: 99%

An Easy and Quick Formulation of Patient-Specific 3D-FEM Dentate Mandible Model with Periodontal Ligament for Mechanical Analysis

Takao

Takahashi

Terajima

et al. 2009

JBSE

View full text Add to dashboard Cite

In recent years, the number of patients with mandibular defects is increasing, and the orthognathic surgery of mandible has become a common treatment for re-establishing functional and aesthetic anatomy by repositioning displaced skeletal elements. To decrease a heavy burden and high risk of the surgery falling on the patients and clinicians, the present authors have developed a mechanical support system for orthognathic surgery. An easy, quick and patient-specific mesh generation including the periodontal ligament is essential. First, a mandible template was obtained manually, which requests the small number of elements. It is composed of 7 different materials and could reproduce the original shape of each material pretty well with a reduced number of elements. Next the template of around 6600 nodes is mapped by a simple formula in a moment of time to fit the patient's mandible polygonal image obtained from an individual CT image. The calculation with the resulted patient-specific mesh by a 3D FEM code is also performed successfully.

show abstract

Section: Introductionmentioning

confidence: 99%