Validation of parametric mesh generation for subject-specific cerebroarterial trees using modified Hausdorff distance metrics.

ABSTRACT: Accurate subject-specific vascular network reconstruction is a critical task for the hemodynamic analysis of cerebroarterial circulation. Vascular skeletonization and computational mesh generation for large sections of cerebrovascular trees from magnetic resonance angiography (MRA) is an error-prone, operator-dependent, and very time-consuming task. Validation of reconstructed computational models is essential to ascertain their accuracy and precision, which directly relates to the confidence of CFD computations performed on these meshes. The aim of this study is to generate an imaging segmentation pipeline to validate and quantify the spatial accuracy of computational models of subject-specific cerebral arterial trees. We used a recently introduced parametric structured mesh (PSM) generat

SUBMITTER: Ghaffari M 

PROVIDER: S-EPMC6181589 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature