Fast 3D mesh generation of femur based on planar parameterization and morphing

Najah Hraiech; Fulvia Taddei; Emmanuel Malvesin; Michel Rochette; Marco Viceconti

doi:10.1109/ISBI.2008.4541308

Fast 3D mesh generation of femur based on planar parameterization and morphing

Najah Hraiech, Fulvia Taddei, Emmanuel Malvesin, Michel Rochette, Marco Viceconti

Istituti Ortopedici Rizzoli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1109/ISBI.2008.4541308
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

Keywords

Medical Imaging
Mesh generation
Modeling
Morphing
Parameterization
Radial Basis Functions (RBFs)

ASJC Scopus subject areas

Biomedical Engineering

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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

Hraiech, N, Taddei, F, Malvesin, E, Rochette, M & Viceconti, M 2008, Fast 3D mesh generation of femur based on planar parameterization and morphing. in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI., 4541308, pp. 1561-1564, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, Paris, France, 5/14/08. https://doi.org/10.1109/ISBI.2008.4541308

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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.",

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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.

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