2005
DOI: 10.1002/nme.1482
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Robust generation of high‐quality unstructured meshes on realistic biomedical geometry

Abstract: SUMMARYIn this paper, we propose efficient and robust unstructured mesh generation methods based on computed tomography (CT) and magnetic resonance imaging (MRI) data, in order to obtain a patient-specific geometry for high-fidelity numerical simulations. Surface extraction from medical images is carried out mainly using open source libraries, including the Insight Segmentation and Registration Toolkit and the Visualization Toolkit, into the form of facet surface representation. To create high-quality surface … Show more

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Cited by 41 publications
(24 citation statements)
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“…In this section, several complex examples from a variety of sources [26][27][28][29] are used to demonstrate the success of the hole patching algorithm proposed in this paper. All the meshes are repaired on a desktop computer with dual AMD 420 processor, with 8 GB of the physical memory.…”
Section: Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, several complex examples from a variety of sources [26][27][28][29] are used to demonstrate the success of the hole patching algorithm proposed in this paper. All the meshes are repaired on a desktop computer with dual AMD 420 processor, with 8 GB of the physical memory.…”
Section: Applicationsmentioning
confidence: 99%
“…The UAB digital mouse skull model [28] is a watertight model extracted from extremely highresolution CT scan images of a mouse and has been used by the Department of Mechanical Engineering at the University of Alabama at Birmingham for impact studies. In this study, 11 holes of varying sizes were artificially placed in different regions of models of varying geometric complexity and curvature.…”
Section: Uab Digital Mouse Skull Modelmentioning
confidence: 99%
“…Quadros et al used a skeleton technique to control finite element mesh size [23]. Besides other unstructured mesh generation methods [24,25,26], a skeleton-based subdivision method has also been used in biomedical applications, such as a below-knee residual limb and external prosthetic socket [27], and bifurcation geometry in vascular flow simulation [28]. However, trifurcations and more complex branchings also exist in the human artery tree.…”
Section: Medial Axis-based Mesh Generationmentioning
confidence: 99%
“…We have tackled those disadvantages and have implemented several solutions in the Mixed-Element Grid Generator in 3 Dimensions (MEGG3D) [4][5][6][7][8][9][10][11][12][13][14]. To reduce the size of the unstructured mesh files, open-source file compression/decompression utilities have been used to directly output/input compressed files.…”
Section: Introductionmentioning
confidence: 99%