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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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