| Analysis of Time-Dependent Flow-Sensitive PC-MRI Data. | |
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MedLine Citation:
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PMID: 21519102 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Many flow visualization techniques, especially integration-based methods, are problematic when the measured data exhibits noise and discretization issues. Particularly, this is the case for flow-sensitive phase-contrast magnetic resonance imaging (PC-MRI) datasets which not only record anatomic information but also time-varying flow information. We propose a novel approach for the visualization of such datasets using integration-based methods. Our ideas are based upon finite-time Lyapunov exponents (FTLE) and enable identification of vessel boundaries in the data as high regions of separation. This allows us to correctly restrict integration-based visualization to blood vessels. We validate our technique by comparing our approach to existing anatomy-based methods as well as addressing the benefits and limitations of using FTLE to restrict flow. We also discuss the importance of parameters, i.e., advection length and data resolution, in establishing a well defined vessel boundary. We extract appropriate flow lines and surfaces that enable the visualization of blood flow within the vessels. We further enhance the visualization by analyzing flow behavior in the seeded region and generating simplified depictions. |
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Authors:
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Harinarayan Krishnan; Christoph Garth; Jens Guhring; Mehmet Akif Gulsun; Andreas Greiser; Kenneth I Joy |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-12 |
Journal Detail:
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Title: IEEE transactions on visualization and computer graphics Volume: - ISSN: 1077-2626 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-26 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9891704 Medline TA: IEEE Trans Vis Comput Graph Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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University of California, Davis, Davis. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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