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    Three-Dimensional Velocity Field Reconstruction

    Source: Journal of Biomechanical Engineering:;2004:;volume( 126 ):;issue: 006::page 727
    Author:
    David Frakes
    ,
    Mark Smith
    ,
    Diane de Zélicourt
    ,
    Kerem Pekkan
    ,
    Ajit Yoganathan
    DOI: 10.1115/1.1824117
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of inter-slice magnetic resonance (MR) image reconstruction is encountered often in medical imaging applications. In such scenarios, there is a need to approximate information not captured in contiguously acquired MR images due to hardware sampling limitations. In the context of velocity field reconstruction, these data are required for visualization and computational analyses of flow fields to be effective. To provide more complete velocity information, a method has been developed for the reconstruction of flow fields based on adaptive control grid interpolation (ACGI). In this study, data for reconstruction were acquired via MRI from in vitro models of surgically corrected pediatric cardiac vasculatures. Reconstructed velocity fields showed strong qualitative agreement with those obtained via other acquisition techniques. Quantitatively, reconstruction was shown to produce data of comparable quality to accepted velocity data acquisition methods. Results indicate that ACGI-based velocity field reconstruction is capable of producing information suitable for a variety of applications demanding three-dimensional in vivo velocity data.
    keyword(s): Flow (Dynamics) , Computational fluid dynamics , Magnetic resonance imaging , Interpolation , Motion , Errors , Surgery , Energy dissipation AND Fluids ,
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      Three-Dimensional Velocity Field Reconstruction

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    http://yetl.yabesh.ir/yetl1/handle/yetl/129551
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    contributor authorDavid Frakes
    contributor authorMark Smith
    contributor authorDiane de Zélicourt
    contributor authorKerem Pekkan
    contributor authorAjit Yoganathan
    date accessioned2017-05-09T00:12:13Z
    date available2017-05-09T00:12:13Z
    date copyrightDecember, 2004
    date issued2004
    identifier issn0148-0731
    identifier otherJBENDY-26409#727_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/129551
    description abstractThe problem of inter-slice magnetic resonance (MR) image reconstruction is encountered often in medical imaging applications. In such scenarios, there is a need to approximate information not captured in contiguously acquired MR images due to hardware sampling limitations. In the context of velocity field reconstruction, these data are required for visualization and computational analyses of flow fields to be effective. To provide more complete velocity information, a method has been developed for the reconstruction of flow fields based on adaptive control grid interpolation (ACGI). In this study, data for reconstruction were acquired via MRI from in vitro models of surgically corrected pediatric cardiac vasculatures. Reconstructed velocity fields showed strong qualitative agreement with those obtained via other acquisition techniques. Quantitatively, reconstruction was shown to produce data of comparable quality to accepted velocity data acquisition methods. Results indicate that ACGI-based velocity field reconstruction is capable of producing information suitable for a variety of applications demanding three-dimensional in vivo velocity data.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleThree-Dimensional Velocity Field Reconstruction
    typeJournal Paper
    journal volume126
    journal issue6
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.1824117
    journal fristpage727
    journal lastpage735
    identifier eissn1528-8951
    keywordsFlow (Dynamics)
    keywordsComputational fluid dynamics
    keywordsMagnetic resonance imaging
    keywordsInterpolation
    keywordsMotion
    keywordsErrors
    keywordsSurgery
    keywordsEnergy dissipation AND Fluids
    treeJournal of Biomechanical Engineering:;2004:;volume( 126 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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