| A topologically faithful, tissue-guided, spatially varying meshing strategy for the computation of patient-specific head models for endoscopic pituitary surgery simulation. | |
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MedLine Citation:
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PMID: 16404006 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper presents a method for tessellating tissue boundaries and their interiors, given as input a tissue map consisting of relevant classes of the head, in order to produce anatomical models for finite element-based simulation of endoscopic pituitary surgery. Our surface meshing method is based on the simplex model, which is initialized by duality from the topologically accurate results of the Marching Cubes algorithm, and which features explicit control over mesh scale, while using tissue information to adhere to relevant boundaries. Our mesh scale strategy is spatially varying, based on the distance to a central point or linearized surgical path. The tetrahedralization stage also features a spatially varying mesh scale, consistent with that of the surface mesh. |
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Authors:
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M A Audette; H Delingette; A Fuchs; K Chinzei |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 119 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 2006 |
Date Detail:
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Created Date: 2006-01-11 Completed Date: 2006-04-17 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: Netherlands |
Other Details:
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Languages: eng Pagination: 22-7 Citation Subset: T |
Affiliation:
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AIST, Surgical Assist Group, Tsukuba, 305-8564, Japan. m.audette@aist.go.jp |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Computer Simulation* Endoscopy* Head* Humans Models, Anatomic* Pituitary Gland / surgery* Tomography, X-Ray Computed / methods* User-Computer Interface |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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