pubmed-article:18958033 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:18958033 | lifeskim:mentions | umls-concept:C1882071 | lld:lifeskim |
pubmed-article:18958033 | lifeskim:mentions | umls-concept:C1801960 | lld:lifeskim |
pubmed-article:18958033 | lifeskim:mentions | umls-concept:C0030054 | lld:lifeskim |
pubmed-article:18958033 | lifeskim:mentions | umls-concept:C0012222 | lld:lifeskim |
pubmed-article:18958033 | lifeskim:mentions | umls-concept:C0220784 | lld:lifeskim |
pubmed-article:18958033 | pubmed:issue | 22 | lld:pubmed |
pubmed-article:18958033 | pubmed:dateCreated | 2008-10-29 | lld:pubmed |
pubmed-article:18958033 | pubmed:abstractText | There is an increasing need for quantitative and computationally affordable models for analyzing tissue metabolism and hemodynamics in microvascular networks. In this work, we develop a hybrid model to solve for the time-varying oxygen advection-diffusion equation in the vessels and tissue. To obtain a three-dimensional temporal evolution of tissue oxygen concentration for realistic complex vessel networks, we used a graph-based advection model combined with a finite-element based diffusion model and an implicit time-advancing scheme. We validated this algorithm for both static and dynamic conditions. We also applied it to a complex vascular network obtained from a rodent somatosensory cortex. Qualitative agreement was found with in-vivo experiments. | lld:pubmed |
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pubmed-article:18958033 | pubmed:language | eng | lld:pubmed |
pubmed-article:18958033 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:18958033 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:18958033 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:18958033 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:18958033 | pubmed:month | Oct | lld:pubmed |
pubmed-article:18958033 | pubmed:issn | 1094-4087 | lld:pubmed |
pubmed-article:18958033 | pubmed:author | pubmed-author:BoasDavid ADA | lld:pubmed |
pubmed-article:18958033 | pubmed:author | pubmed-author:DaleAnders... | lld:pubmed |
pubmed-article:18958033 | pubmed:author | pubmed-author:DevorAnnaA | lld:pubmed |
pubmed-article:18958033 | pubmed:author | pubmed-author:Sakadzi?SavaS | lld:pubmed |
pubmed-article:18958033 | pubmed:author | pubmed-author:FangQianqianQ | lld:pubmed |
pubmed-article:18958033 | pubmed:author | pubmed-author:RuvinskayaLan... | lld:pubmed |
pubmed-article:18958033 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:18958033 | pubmed:day | 27 | lld:pubmed |
pubmed-article:18958033 | pubmed:volume | 16 | lld:pubmed |
pubmed-article:18958033 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:18958033 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:18958033 | pubmed:pagination | 17530-41 | lld:pubmed |
pubmed-article:18958033 | pubmed:dateRevised | 2010-10-5 | lld:pubmed |
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pubmed-article:18958033 | pubmed:meshHeading | pubmed-meshheading:18958033... | lld:pubmed |
pubmed-article:18958033 | pubmed:year | 2008 | lld:pubmed |
pubmed-article:18958033 | pubmed:articleTitle | Oxygen advection and diffusion in a three- dimensional vascular anatomical network. | lld:pubmed |
pubmed-article:18958033 | pubmed:affiliation | Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA. | lld:pubmed |
pubmed-article:18958033 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:18958033 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
pubmed-article:18958033 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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