Document Detail


A topologically faithful, tissue-guided, spatially varying meshing strategy for the computation of patient-specific head models for endoscopic pituitary surgery simulation.
MedLine Citation:
PMID:  16404006     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
M A Audette; H Delingette; A Fuchs; K Chinzei
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  119     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2006  
Date Detail:
Created Date:  2006-01-11     Completed Date:  2006-04-17     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  22-7     Citation Subset:  T    
Affiliation:
AIST, Surgical Assist Group, Tsukuba, 305-8564, Japan. m.audette@aist.go.jp
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MeSH Terms
Descriptor/Qualifier:
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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