Wiley, Medical Physics, 5(38), p. 2439
DOI: 10.1118/1.3575417
Elsevier, Medical Image Analysis, 3(16), p. 721-730
DOI: 10.1016/j.media.2010.04.009
Full text: Download
Morphological descriptors are practical and essential biomarkers for diagnosis and treatment selection for intracranial aneurysm management according to the current guidelines in use. Nevertheless, relatively little work has been dedicated to improve the three-dimensional quanti cation of aneurysmal morphology, automate the analysis, and hence reduce the inherent intra- and inter-observer variability of manual analysis. In this paper we propose a methodology for the automated isolation and morphological quanti cation of saccular intracranial aneurysms based on a 3D representation of the vascular anatomy.