| contributor author | Jung Hwan Kim | |
| contributor author | Garrett W. Astary | |
| contributor author | Xiaoming Chen | |
| contributor author | Thomas H. Mareci | |
| contributor author | Malisa Sarntinoranont | |
| date accessioned | 2017-05-09T00:31:36Z | |
| date available | 2017-05-09T00:31:36Z | |
| date copyright | July, 2009 | |
| date issued | 2009 | |
| identifier issn | 0148-0731 | |
| identifier other | JBENDY-26987#071007_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/139894 | |
| description 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Voxelized Model of Interstitial Transport in the Rat Spinal Cord Following Direct Infusion Into White Matter | |
| type | Journal Paper | |
| journal volume | 131 | |
| journal issue | 7 | |
| journal title | Journal of Biomechanical Engineering | |
| identifier doi | 10.1115/1.3169248 | |
| journal fristpage | 71007 | |
| identifier eissn | 1528-8951 | |
| keywords | Matter | |
| keywords | Biological tissues | |
| keywords | Imaging | |
| keywords | Spinal cord | |
| keywords | Tensors | |
| keywords | Diffusion (Physics) | |
| keywords | Image segmentation AND Resolution (Optics) | |
| tree | Journal of Biomechanical Engineering:;2009:;volume( 131 ):;issue: 007 | |
| contenttype | Fulltext | |