Journal article
From medical images to flow computations without user-generated meshes
International journal for numerical methods in biomedical engineering, Vol.30(10), pp.1057-1083
10/2014
DOI: 10.1002/cnm.2644
PMCID: PMC4188741
PMID: 24753504
Abstract
Biomedical flow computations in patient-specific geometries require integrating image acquisition and processing with fluid flow solvers. Typically, image-based modeling processes involve several steps, such as image segmentation, surface mesh generation, volumetric flow mesh generation, and finally computational simulation. These steps are performed separately, often using separate pieces of software, and each step requires considerable expertise and investment of time on the part of the user. In this paper an alternative framework is presented in which the entire image-based modeling process is performed on a Cartesian domain where the image is embedded within the domain as an implicit surface. Thus the framework circumvents the need for generating surface meshes to fit complex geometries and subsequent creation of body-fitted flow meshes. Cartesian mesh pruning, local mesh refinement, and massive parallelization provide computational efficiency; the image-to-computation techniques adopted are chosen to be suitable for distributed memory architectures. The complete framework is demonstrated with flow calculations computed in two 3D image reconstructions of geometrically dissimilar intracranial aneurysms. The flow calculations are performed on multiprocessor computer architectures and are compared against calculations performed with a standard multi-step route.
Details
- Title: Subtitle
- From medical images to flow computations without user-generated meshes
- Creators
- Seth I Dillard - Department of Mechanical and Industrial Engineering, The University of Iowa, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242-1527, U.S.AJohn A Mousel - Department of Mechanical and Industrial Engineering, The University of Iowa, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242-1527, U.S.ALiza Shrestha - Department of Biomedical Engineering, The University of Iowa, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242-1527, U.S.AMadhavan L Raghavan - Department of Biomedical Engineering, The University of Iowa, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242-1527, U.S.ASarah C Vigmostad - Department of Biomedical Engineering, The University of Iowa, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242-1527, U.S.A
- Resource Type
- Journal article
- Publication Details
- International journal for numerical methods in biomedical engineering, Vol.30(10), pp.1057-1083
- DOI
- 10.1002/cnm.2644
- PMID
- 24753504
- PMCID
- PMC4188741
- ISSN
- 2040-7939
- eISSN
- 2040-7947
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: 5R01HL083475; DOI: 10.13039/100005740, name: Iowa Space Grant Consortium, award: NNX10AK63H
- Language
- English
- Date published
- 10/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Surgery; Mechanical Engineering
- Record Identifier
- 9984064246902771
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