Document Detail

Bioimpedance technique for monitoring cerebral artery stenosis in a 3D numerical model of the head.
MedLine Citation:
PMID:  22177574     Owner:  NLM     Status:  Publisher    
Insufficient blood supply to the brain causes a transient ischemic attack (TIA) or a stroke. One of the causes to insufficient blood supply is cerebral artery stenosis. In this study, the feasibility of bioimpedance for monitoring such stenosis was analyzed. Simulations were conducted on a realistic numerical model of the head, focusing on the left middle cerebral artery (LMCA). Tissues were assumed to act as linear isotropic volume conductors, and the quasi-static approximation was applied. Electrical potentials were calculated by solving Poisson's equation, using the finite volume method (FVM) and the successive over relaxation (SOR) method. The best sensitivity found was 0.471μV/% stenosis, using this electrode configuration: one injector near the left eye and the other injector near the right ear, one measurement position near the left eye and the other one in the right ear, keeping a distance of at least 2.5cm between measurement and injection positions. The maximal sensitivity achieved in the numerical model under the applied assumptions supports the feasibility of bioimpedance technique for monitoring cerebral artery stenosis. However, according to sensitivity [1/m(4)] maps, calculated for the preferable electrode configurations, the measurements' specificity to the stenosis degree might be inadequate and should be further studied.
Ayelet Siegman; Shimon Abboud
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-12-15
Journal Detail:
Title:  Medical engineering & physics     Volume:  -     ISSN:  1873-4030     ISO Abbreviation:  -     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-12-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9422753     Medline TA:  Med Eng Phys     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.
Department of Biomedical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
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