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    Voxelized Model of Interstitial Transport in the Rat Spinal Cord Following Direct Infusion Into White Matter

    Source: Journal of Biomechanical Engineering:;2009:;volume( 131 ):;issue: 007::page 71007
    Author:
    Jung Hwan Kim
    ,
    Garrett W. Astary
    ,
    Xiaoming Chen
    ,
    Thomas H. Mareci
    ,
    Malisa Sarntinoranont
    DOI: 10.1115/1.3169248
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Direct tissue infusion, e.g., convection-enhanced delivery (CED), is a promising local delivery technique for treating diseases of the central nervous system. Predictive models of spatial drug distribution during and following direct tissue infusion are necessary for treatment optimization and planning of surgery. In this study, a 3D interstitial transport modeling approach in which tissue properties and anatomical boundaries are assigned on a voxel-by-voxel basis using tissue alignment data from diffusion tensor imaging (DTI) is presented. The modeling approach is semi-automatic and utilizes porous media transport theory to estimate interstitial transport in isotropic and anisotropic tissue regions. Rat spinal cord studies compared predicted distributions of albumin tracer (for varying DTI resolution) following infusion into the dorsal horn with tracer distributions measured by Wood et al. in a previous study. Tissue distribution volumes compared favorably for small infusion volumes (<4 μl). The presented DTI-based methodology provides a rapid means of estimating interstitial flows and tracer distributions following CED into the spinal cord. Quantification of these transport fields provides an important step toward development of drug-specific transport models of infusion.
    keyword(s): Matter , Biological tissues , Imaging , Spinal cord , Tensors , Diffusion (Physics) , Image segmentation AND Resolution (Optics) ,
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      Voxelized Model of Interstitial Transport in the Rat Spinal Cord Following Direct Infusion Into White Matter

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    http://yetl.yabesh.ir/yetl1/handle/yetl/139894
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    contributor authorJung Hwan Kim
    contributor authorGarrett W. Astary
    contributor authorXiaoming Chen
    contributor authorThomas H. Mareci
    contributor authorMalisa Sarntinoranont
    date accessioned2017-05-09T00:31:36Z
    date available2017-05-09T00:31:36Z
    date copyrightJuly, 2009
    date issued2009
    identifier issn0148-0731
    identifier otherJBENDY-26987#071007_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/139894
    description abstractDirect tissue infusion, e.g., convection-enhanced delivery (CED), is a promising local delivery technique for treating diseases of the central nervous system. Predictive models of spatial drug distribution during and following direct tissue infusion are necessary for treatment optimization and planning of surgery. In this study, a 3D interstitial transport modeling approach in which tissue properties and anatomical boundaries are assigned on a voxel-by-voxel basis using tissue alignment data from diffusion tensor imaging (DTI) is presented. The modeling approach is semi-automatic and utilizes porous media transport theory to estimate interstitial transport in isotropic and anisotropic tissue regions. Rat spinal cord studies compared predicted distributions of albumin tracer (for varying DTI resolution) following infusion into the dorsal horn with tracer distributions measured by Wood et al. in a previous study. Tissue distribution volumes compared favorably for small infusion volumes (<4 μl). The presented DTI-based methodology provides a rapid means of estimating interstitial flows and tracer distributions following CED into the spinal cord. Quantification of these transport fields provides an important step toward development of drug-specific transport models of infusion.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleVoxelized Model of Interstitial Transport in the Rat Spinal Cord Following Direct Infusion Into White Matter
    typeJournal Paper
    journal volume131
    journal issue7
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.3169248
    journal fristpage71007
    identifier eissn1528-8951
    keywordsMatter
    keywordsBiological tissues
    keywordsImaging
    keywordsSpinal cord
    keywordsTensors
    keywordsDiffusion (Physics)
    keywordsImage segmentation AND Resolution (Optics)
    treeJournal of Biomechanical Engineering:;2009:;volume( 131 ):;issue: 007
    contenttypeFulltext
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