Simplification of unstructured tetrahedral meshes by point sampling

Uesu, D.; Bavoil, L.; Fleishman, S.; Shepherd, J.; Silva, C.T.

doi:10.1109/vg.2005.194110

Cited by 14 publications

(8 citation statements)

References 9 publications

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“…Since it is difficult to remesh volumetric facial tissue according to the intersection with muscle surfaces, we calculated equivalent material property by considering volumetric portion of muscle in each tetrahedron. We adopted the approach proposed by Uesu et al (2005), which employs point sampling in tetrahedron. Then, geometrical test, based on directional comparison of surface normal and closest distance vector as shown in Figure 3, was performed to calculate equivalent material properties.…”

Section: Materials Property Assignmentmentioning

confidence: 99%

A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model

Kim

Jürgens

Weber

et al. 2010

Progress in Biophysics and Molecular Biology

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We propose a computationally efficient, bio-mechanically relevant soft-tissue simulation method for cranio-maxillofacial (CMF) surgery. Special emphasis is given to comply with the current clinical workflow. A template-based facial muscle prediction was introduced to avoid laborious segmentation from medical images. In addition, transversely isotropic mass-tensor model (MTM) was applied to realize the directional behavior of facial muscles in short computation time. Finally, sliding contact was incorporated to mimic realistic boundary condition in error-sensitive regions. Mechanical simulation result was compared with commercial finite element software. And retrospective validation study with post-operative scan of four CMF cases was performed.

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Section: Materials Property Assignmentmentioning

confidence: 99%

A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model

Kim

Jürgens

Weber

et al. 2010

Progress in Biophysics and Molecular Biology

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show abstract

“…In order to assign appropriate material properties, the intersecting portion of muscle in each tetrahedron needs to be determined. We adopted a random point sampling method inside of each tetrahedron [17], and simple geometrical tests on directional vectors to muscle surface.…”

Section: Materials Property Assignmentmentioning

confidence: 99%

Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model

Kim

Jürgens

Nolte

2010

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010

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We propose a computationally efficient and bio-mechanically relevant soft-tissue simulation method for cranio-maxillofacial (CMF) surgery. A template-based facial muscle reconstruction was introduced to minimize the efforts on preparing a patient-specific model. A transversely isotropic mass-tensor model (MTM) was adopted to realize the effect of directional property of facial muscles in reasonable computation time. Additionally, sliding contact around teeth and mucosa was considered for more realistic simulation. Retrospective validation study with postoperative scan of a real patient showed that there were considerable improvements in simulation accuracy by incorporating template-based facial muscle anatomy and sliding contact.

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“…Van Gelder et al [5] remove vertices based on mass and data error metrics. Uesu et al [6] provide a fast point-based method which works directly on the underlying scalar field. These techniques are more memory efficient than edge collapse methods, but require the addition of Steiner points to handle nonconvex meshes.…”

Section: Related Workmentioning

confidence: 99%

Streaming Simplification of Tetrahedral Meshes

2007

IEEE Trans. Visual. Comput. Graphics

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Abstract-Unstructured tetrahedral meshes are commonly used in scientific computing to represent scalar, vector, and tensor fields in three dimensions. Visualization of these meshes can be difficult to perform interactively due to their size and complexity. By reducing the size of the data, we can accomplish real-time visualization necessary for scientific analysis. We propose a two-step approach for streaming simplification of large tetrahedral meshes. Our algorithm arranges the data on disk in a streaming, I/O-efficient format that allows coherent access to the tetrahedral cells. A quadric-based simplification is sequentially performed on small portions of the mesh in-core. Our output is a coherent streaming mesh which facilitates future processing. Our technique is fast, produces high quality approximations, and operates out-of-core to process meshes too large for main memory.

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Simplification of unstructured tetrahedral meshes by point sampling

Abstract: Tetrahedral meshes are widely used in scientific computing for representing three-dimensional scalar, vector, and tensor

Cited by 14 publications

References 9 publications

A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model

A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model

Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model

Streaming Simplification of Tetrahedral Meshes

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