Name
Abstract | ||
|---|---|---|
The objective of this work was to develop and test a semi-automated finite element mesh generation method using computed tomography (CT) image data of a canine radius. The present study employs a direct conversion from CT Hounsfield units to elastic moduli. Our method attempts to minimize user interaction and eliminate the need for mesh smoothing to produce a model suitable for finite element analysis. Validation of the computational model was conducted by loading the CT-imaged canine radius in four-point bending and using strain gages to record resultant strains that were then compared to strains calculated with the computational model. Geometry-based and uniform modulus voxel-based models were also constructed from the same imaging data set and compared. The nonuniform voxel-based model most accurately predicted the axial strain response of the sample bone (R^2=0.9764). |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.cmpb.2006.10.009 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Canine radius,CT to FEA,Four-point bending,Strain gage | Elastic modulus,Voxel,Computer vision,Computer science,Mathematical analysis,Finite element method,Bending,Smoothing,Artificial intelligence,Strain gauge,Hounsfield scale,Mesh generation | Journal |
Volume | Issue | ISSN |
85 | 3 | 0169-2607 |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| T. W. Pfeiler | 1 | 1 | 0.39 |
| D. S. Lalush | 2 | 2 | 0.76 |
| E. G. Loboa | 3 | 1 | 0.39 |