Abstract
In this paper we present a fast and efficient method for generating a patient-specific femur mesh by morphing a template femur mesh of ten-node tetrahedral elements on a geometry represented in STL format (STL: Surface Tessellation Language). The morphing is constrained through a set of user defined anatomical landmark points. Our method splits the input geometries into open surfaces, and maps each surface individually on a planar parameterization. We morph the parameterizations individually using a regression model based on Radial Basis Functions (RBFs). In experiments our method shows precise results in generating new patient-specific meshes from existing models and in re-meshing.
| Original language | English |
|---|---|
| Title of host publication | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI |
| Pages | 1561-1564 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France Duration: May 14 2008 → May 17 2008 |
Other
| Other | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI |
|---|---|
| Country | France |
| City | Paris |
| Period | 5/14/08 → 5/17/08 |
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Keywords
- Medical Imaging
- Mesh generation
- Modeling
- Morphing
- Parameterization
- Radial Basis Functions (RBFs)
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
Fast 3D mesh generation of femur based on planar parameterization and morphing. / Hraiech, Najah; Taddei, Fulvia; Malvesin, Emmanuel; Rochette, Michel; Viceconti, Marco.
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 1561-1564 4541308.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fast 3D mesh generation of femur based on planar parameterization and morphing
AU - Hraiech, Najah
AU - Taddei, Fulvia
AU - Malvesin, Emmanuel
AU - Rochette, Michel
AU - Viceconti, Marco
PY - 2008
Y1 - 2008
N2 - In this paper we present a fast and efficient method for generating a patient-specific femur mesh by morphing a template femur mesh of ten-node tetrahedral elements on a geometry represented in STL format (STL: Surface Tessellation Language). The morphing is constrained through a set of user defined anatomical landmark points. Our method splits the input geometries into open surfaces, and maps each surface individually on a planar parameterization. We morph the parameterizations individually using a regression model based on Radial Basis Functions (RBFs). In experiments our method shows precise results in generating new patient-specific meshes from existing models and in re-meshing.
AB - In this paper we present a fast and efficient method for generating a patient-specific femur mesh by morphing a template femur mesh of ten-node tetrahedral elements on a geometry represented in STL format (STL: Surface Tessellation Language). The morphing is constrained through a set of user defined anatomical landmark points. Our method splits the input geometries into open surfaces, and maps each surface individually on a planar parameterization. We morph the parameterizations individually using a regression model based on Radial Basis Functions (RBFs). In experiments our method shows precise results in generating new patient-specific meshes from existing models and in re-meshing.
KW - Medical Imaging
KW - Mesh generation
KW - Modeling
KW - Morphing
KW - Parameterization
KW - Radial Basis Functions (RBFs)
UR - http://www.scopus.com/inward/record.url?scp=51049093363&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51049093363&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2008.4541308
DO - 10.1109/ISBI.2008.4541308
M3 - Conference contribution
SN - 9781424420032
SP - 1561
EP - 1564
BT - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
ER -