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

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

doi:http://dx.doi.org/10.1016/j.media.2010.04.009

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

Citation

Larrabide I, Villa-Uriol M-C, Cardenes R, Pozo JM, Macho J, San Roman L, Blasco J, Vivas E, Marzo A, Hose DR, Frangi AF. Three-dimensional morphological analysis of intracranial aneurysms: a fully automated method for aneurysm sac isolation and quantification. Med Phys. 2011; 38(5): 2439-2449. DOI 10.1118/1.3575417

Abstract

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.