Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cmpb.2005.06.006
Title: Computational biomechanical modelling of the lumbar spine using marching-cubes surface smoothened finite element voxel meshing
Authors: Wang, Z.L. 
Teo, J.C.M. 
Chui, C.K. 
Ong, S.H. 
Yan, C.H. 
Wang, S.C.
Wong, H.K.
Teoh, S.H. 
Keywords: Finite element method (FEM)
Marching-cubes
Modelling
Volumetric mesh
Voxel-based mesh
Issue Date: Oct-2005
Source: Wang, Z.L., Teo, J.C.M., Chui, C.K., Ong, S.H., Yan, C.H., Wang, S.C., Wong, H.K., Teoh, S.H. (2005-10). Computational biomechanical modelling of the lumbar spine using marching-cubes surface smoothened finite element voxel meshing. Computer Methods and Programs in Biomedicine 80 (1) : 25-35. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cmpb.2005.06.006
Abstract: There is a need for the development of finite element (FE) models based on medical datasets, such as magnetic resonance imaging and computerized tomography in computation biomechanics. Direct conversion of graphic voxels to FE elements is a commonly used method for the generation of FE models. However, conventional voxel-based methods tend to produce models with jagged surfaces. This is a consequence of the inherent characteristics of voxel elements; such a model is unable to capture the geometries of anatomical structures satisfactorily. We have developed a robust technique for the automatic generation of voxel-based patient-specific FE models. Our approach features a novel tetrahedronization scheme that incorporates marching-cubes surface smoothing together with a smooth-distortion factor (SDF). The models conform to the actual geometries of anatomical structures of a lumbar spine segment (L3). The resultant finite element analysis (FEA) at the surfaces is more accurate compared to the use of conventional voxel-based generated FE models. In general, models produced by our method were superior compared to that obtained using the commercial software ScanFE. © 2005 Elsevier Ireland Ltd. All rights reserved.
Source Title: Computer Methods and Programs in Biomedicine
URI: http://scholarbank.nus.edu.sg/handle/10635/50879
ISSN: 01692607
DOI: 10.1016/j.cmpb.2005.06.006
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