Three-dimensional morphological analysis of intracranial aneurysms: a fully automated method for aneurysm sac isolation and quantification

Morphological descriptors are practical and essential biomarkers for diagnosis and/ntreatment selection for intracranial aneurysm management according to the current guidelines/nin use. Nevertheless, relatively little work has been dedicated to improve the three-dimensional/nquanti cation of aneurys...

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Detalles Bibliográficos
Autores: Larrabide, Ignacio, 1978-, Villa-Uriol, Maria-Cruz, Cardenes, Rubén, Pozo Soler, José Ma. (José María), Macho, Juan M., San Román, Luis, Blasco, Jordi, Vivas, Elio, Marzo, Alberto, Hose, D. Rodney, Frangi Caregnato, Alejandro
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2011
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/19957
Acceso en línea:http://hdl.handle.net/10230/19957
http://dx.doi.org/10.1016/j.media.2010.04.009
Access Level:acceso abierto
Palabra clave:Aneurismes cerebrals
Intracranial aneurysm quanti cation
Automated isolation
Deformable models
Skeleton analysis
Validation
Descripción
Sumario:Morphological descriptors are practical and essential biomarkers for diagnosis and/ntreatment selection for intracranial aneurysm management according to the current guidelines/nin use. Nevertheless, relatively little work has been dedicated to improve the three-dimensional/nquanti cation of aneurysmal morphology, automate the analysis, and hence reduce the inherent/nintra- and inter-observer variability of manual analysis. In this paper we propose a methodology/nfor the automated isolation and morphological quanti cation of saccular intracranial aneurysms/nbased on a 3D representation of the vascular anatomy.