Modelling pipeline for subject-specific arterial blood flow-A review

SUMMARY In this paper, a robust and semi‐automatic modelling pipeline for blood flow through subject‐specific arterial geometries is presented. The framework developed consists of image segmentation, domain discretization (meshing) and fluid dynamics. All the three subtopics of the pipeline are expl...

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Vydáno v:International journal for numerical methods in biomedical engineering Ročník 27; číslo 12; s. 1868 - 1910
Hlavní autoři: Sazonov, Igor, Yeo, Si Yong, Bevan, Rhodri L. T., Xie, Xianghua, van Loon, Raoul, Nithiarasu, Perumal
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.12.2011
Wiley
Témata:
Biological and medical sciences
Blood vessels and receptors
boundary layer
carotid bifurcation
Computational methods in fluid dynamics
Discretization
Exact sciences and technology
Finite element method
Fluid dynamics
Fundamental and applied biological sciences. Psychology
Fundamental areas of phenomenology (including applications)
Hemodynamics. Rheology
Image segmentation
Mathematical models
Meshing
Modelling
Physics
pipeline
Pipelines
stenosis
subject-specific modelling
surface and volume meshing
Vertebrates: cardiovascular system
Human
Fluid dynamics
Pipe flow
Image processing
Contour line
Stenosis
Automatic mesh generation
Modeling
Artery
Image method
Blood flow
Pipeline
carotid bifurcation
subject-specific modelling
surface and volume meshing
image segmentation
Circulatory system
Hemodynamics
Mesh generation
Boundary layer
ISSN:2040-7939, 2040-7947, 2040-7947
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Shrnutí:SUMMARY In this paper, a robust and semi‐automatic modelling pipeline for blood flow through subject‐specific arterial geometries is presented. The framework developed consists of image segmentation, domain discretization (meshing) and fluid dynamics. All the three subtopics of the pipeline are explained using an example of flow through a severely stenosed human carotid artery. In the Introduction, the state‐of‐the‐art of both image segmentation and meshing is presented in some detail, and wherever possible the advantages and disadvantages of the existing methods are analysed. Followed by this, the deformable model used for image segmentation is presented. This model is based upon a geometrical potential force (GPF), which is a function of the image. Both the GPF calculation and level set determination are explained. Following the image segmentation method, a semi‐automatic meshing method used in the present study is explained in full detail. All the relevant techniques required to generate a valid domain discretization are presented. These techniques include generating a valid surface mesh, skeletonization, mesh cropping, boundary layer mesh construction and various mesh cosmetic methods that are essential for generating a high‐quality domain discretization. After presenting the mesh generation procedure, how to generate flow boundary conditions for both the inlets and outlets of a geometry is explained in detail. This is followed by a brief note on the flow solver, before studying the blood flow through the carotid artery with a severe stenosis. Copyright © 2011 John Wiley & Sons, Ltd.
Bibliografie:istex:3C239C8301571C9D0E95E54CC3A5D995B6507FE9
ark:/67375/WNG-ZZT2PP28-1
ArticleID:CNM1446
Professor.
ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:2040-7939
2040-7947
2040-7947
DOI:10.1002/cnm.1446