Large-scale subject-specific cerebral arterial tree modeling using automated parametric mesh generation for blood flow simulation

In this paper, we present a novel technique for automatic parametric mesh generation of subject-specific cerebral arterial trees. This technique generates high-quality and anatomically accurate computational meshes for fast blood flow simulations extending the scope of 3D vascular modeling to a larg...

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Vydáno v:	Computers in biology and medicine Ročník 91; s. 353 - 365
Hlavní autoři:	Ghaffari, Mahsa, Tangen, Kevin, Alaraj, Ali, Du, Xinjian, Charbel, Fady T., Linninger, Andreas A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.12.2017 Elsevier Limited
Témata:	Aged Algorithms Atherosclerosis Automation Bifurcation Blood flow Blood vessels Cerebral arterial tree Cerebral Arteries - diagnostic imaging Cerebral Arteries - pathology Cerebral Arteries - physiopathology Cerebrovascular Circulation - physiology Computational fluid dynamic Computer applications Computer Simulation Connectivity Curves Decomposition Feature extraction Female Finite element method Flow simulation Fluid dynamics Fluid-structure interaction Geometric accuracy Hexahedral mesh generation Humans Male Medical imaging Mesh generation Middle Aged Models, Cardiovascular Parametric mesh generation Patient-Centered Care Quality control ROC Curve Simulation Statistical analysis Subject-specific Therapeutic applications Three dimensional models Trees Veins & arteries Bifurcation Hexahedral mesh generation Cerebral arterial tree Computational fluid dynamic Parametric mesh generation Subject-specific
ISSN:	0010-4825, 1879-0534, 1879-0534
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Shrnutí:	In this paper, we present a novel technique for automatic parametric mesh generation of subject-specific cerebral arterial trees. This technique generates high-quality and anatomically accurate computational meshes for fast blood flow simulations extending the scope of 3D vascular modeling to a large portion of cerebral arterial trees. For this purpose, a parametric meshing procedure was developed to automatically decompose the vascular skeleton, extract geometric features and generate hexahedral meshes using a body-fitted coordinate system that optimally follows the vascular network topology. To validate the anatomical accuracy of the reconstructed vasculature, we performed statistical analysis to quantify the alignment between parametric meshes and raw vascular images using receiver operating characteristic curve. Geometric accuracy evaluation showed an agreement with area under the curves value of 0.87 between the constructed mesh and raw MRA data sets. Parametric meshing yielded on-average, 36.6% and 21.7% orthogonal and equiangular skew quality improvement over the unstructured tetrahedral meshes. The parametric meshing and processing pipeline constitutes an automated technique to reconstruct and simulate blood flow throughout a large portion of the cerebral arterial tree down to the level of pial vessels. This study is the first step towards fast large-scale subject-specific hemodynamic analysis for clinical applications. [Display omitted] •Automated parametric mesh generation technique to reconstruct subject-specific cerebral arterial tree.•The parametric meshing technique extends hemodynamic analysis from few segments to large-scale modeling.•CFD hemodynamic studies in subject-specific arterial trees are facilitated by the automated parametric mesh generation.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	0010-4825 1879-0534 1879-0534
DOI:	10.1016/j.compbiomed.2017.10.028