Simulation of blood flow in deformable vessels using subject-specific geometry and spatially varying wall properties
Simulation of blood flow using image‐based models and computational fluid dynamics has found widespread application to quantifying hemodynamic factors relevant to the initiation and progression of cardiovascular diseases and for planning interventions. Methods for creating subject‐specific geometric...
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| Published in | International journal for numerical methods in biomedical engineering Vol. 27; no. 7; pp. 1000 - 1016 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Chichester, UK
John Wiley & Sons, Ltd
01.07.2011
Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2040-7939 2040-7947 2040-7947 |
| DOI | 10.1002/cnm.1404 |
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| Abstract | Simulation of blood flow using image‐based models and computational fluid dynamics has found widespread application to quantifying hemodynamic factors relevant to the initiation and progression of cardiovascular diseases and for planning interventions. Methods for creating subject‐specific geometric models from medical imaging data have improved substantially in the last decade but for many problems, still require significant user interaction. In addition, while fluid–structure interaction methods are being employed to model blood flow and vessel wall dynamics, tissue properties are often assumed to be uniform. In this paper, we propose a novel workflow for simulating blood flow using subject‐specific geometry and spatially varying wall properties. The geometric model construction is based on 3D segmentation and geometric processing. Variable wall properties are assigned to the model based on combining centerline‐based and surface‐based methods. We finally demonstrate these new methods using an idealized cylindrical model and two subject‐specific vascular models with thoracic and cerebral aneurysms. Copyright © 2010 John Wiley & Sons, Ltd. |
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| AbstractList | Simulation of blood flow using image‐based models and computational fluid dynamics has found widespread application to quantifying hemodynamic factors relevant to the initiation and progression of cardiovascular diseases and for planning interventions. Methods for creating subject‐specific geometric models from medical imaging data have improved substantially in the last decade but for many problems, still require significant user interaction. In addition, while fluid–structure interaction methods are being employed to model blood flow and vessel wall dynamics, tissue properties are often assumed to be uniform. In this paper, we propose a novel workflow for simulating blood flow using subject‐specific geometry and spatially varying wall properties. The geometric model construction is based on 3D segmentation and geometric processing. Variable wall properties are assigned to the model based on combining centerline‐based and surface‐based methods. We finally demonstrate these new methods using an idealized cylindrical model and two subject‐specific vascular models with thoracic and cerebral aneurysms. Copyright © 2010 John Wiley & Sons, Ltd. Simulation of blood flow using image-based models and computational fluid dynamics has found widespread application to quantifying hemodynamic factors relevant to the initiation and progression of cardiovascular diseases and for planning interventions. Methods for creating subject-specific geometric models from medical imaging data have improved substantially in the last decade but for many problems, still require significant user interaction. In addition, while fluid-structure interaction methods are being employed to model blood flow and vessel wall dynamics, tissue properties are often assumed to be uniform. In this paper, we propose a novel workflow for simulating blood flow using subject-specific geometry and spatially varying wall properties. The geometric model construction is based on 3D segmentation and geometric processing. Variable wall properties are assigned to the model based on combining centerline-based and surface-based methods. We finally demonstrate these new methods using an idealized cylindrical model and two subject-specific vascular models with thoracic and cerebral aneurysms. Simulation of blood flow using image-based models and computational fluid dynamics has found widespread application to quantifying hemodynamic factors relevant to the initiation and progression of cardiovascular diseases and for planning interventions. Methods for creating subject-specific geometric models from medical imaging data have improved substantially in the last decade but for many problems, still require significant user interaction. In addition, while fluid-structure interaction methods are being employed to model blood flow and vessel wall dynamics, tissue properties are often assumed to be uniform. In this paper, we propose a novel workflow for simulating blood flow using subject-specific geometry and spatially varying wall properties. The geometric model construction is based on 3D segmentation and geometric processing. Variable wall properties are assigned to the model based on combining centerline-based and surface-based methods. We finally demonstrate these new methods using an idealized cylindrical model and two subject-specific vascular models with thoracic and cerebral aneurysms.Simulation of blood flow using image-based models and computational fluid dynamics has found widespread application to quantifying hemodynamic factors relevant to the initiation and progression of cardiovascular diseases and for planning interventions. Methods for creating subject-specific geometric models from medical imaging data have improved substantially in the last decade but for many problems, still require significant user interaction. In addition, while fluid-structure interaction methods are being employed to model blood flow and vessel wall dynamics, tissue properties are often assumed to be uniform. In this paper, we propose a novel workflow for simulating blood flow using subject-specific geometry and spatially varying wall properties. The geometric model construction is based on 3D segmentation and geometric processing. Variable wall properties are assigned to the model based on combining centerline-based and surface-based methods. We finally demonstrate these new methods using an idealized cylindrical model and two subject-specific vascular models with thoracic and cerebral aneurysms. |
| Author | Figueroa, C. Alberto Xiao, Nan Xiong, Guanglei Taylor, Charles A. |
| AuthorAffiliation | 1 Biomedical Informatics Program, Stanford University, Stanford, CA 94305, U.S.A 3 Departments of Bioengineering and Surgery, Stanford University, Stanford, CA 94305, U.S.A 2 Department of Bioengineering, Stanford University, Stanford, CA 94305, U.S.A |
| AuthorAffiliation_xml | – name: 1 Biomedical Informatics Program, Stanford University, Stanford, CA 94305, U.S.A – name: 3 Departments of Bioengineering and Surgery, Stanford University, Stanford, CA 94305, U.S.A – name: 2 Department of Bioengineering, Stanford University, Stanford, CA 94305, U.S.A |
| Author_xml | – sequence: 1 givenname: Guanglei surname: Xiong fullname: Xiong, Guanglei organization: Biomedical Informatics Program, Stanford University, Stanford, CA 94305, U.S.A – sequence: 2 givenname: C. Alberto surname: Figueroa fullname: Figueroa, C. Alberto organization: Department of Bioengineering, Stanford University, Stanford, CA 94305, U.S.A – sequence: 3 givenname: Nan surname: Xiao fullname: Xiao, Nan organization: Department of Bioengineering, Stanford University, Stanford, CA 94305, U.S.A – sequence: 4 givenname: Charles A. surname: Taylor fullname: Taylor, Charles A. email: taylorca@stanford.edu organization: Departments of Bioengineering and Surgery, Stanford University, Stanford, CA 94305, U.S.A |
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| Keywords | Computational fluid dynamics Segmentation Aneurysm Fluid-structure interactions wall mechanical properties Mechanical properties Cardiovascular disease Tissues Epidemiology deformable walls Geometrical model image-based modeling subject-specific geometry Blood flow Vibrations vascular model construction Blood circulation Wall flow blood flow simulation Medical imagery Modelling Circulatory system Man Planning |
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| SubjectTerms | Biological and medical sciences Blood and lymphatic vessels Blood flow blood flow simulation Cardiology. Vascular system Computational methods in fluid dynamics Computer simulation deformable walls Diseases Exact sciences and technology Fluid dynamics Fluid-structure interaction Fundamental and applied biological sciences. Psychology Fundamental areas of phenomenology (including applications) Hemodynamics. Rheology image-based modeling Mathematical models Medical sciences Numerical analysis Physics Segmentation Solid mechanics Structural and continuum mechanics subject-specific geometry Three dimensional vascular model construction Vertebrates: cardiovascular system Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...) wall mechanical properties |
| Title | Simulation of blood flow in deformable vessels using subject-specific geometry and spatially varying wall properties |
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