Document Detail

Finite element implementation of Maxwell's equations for image reconstruction in electrical impedance tomography.
MedLine Citation:
PMID:  16398414     Owner:  NLM     Status:  MEDLINE    
Traditionally, image reconstruction in electrical impedance tomography (EIT) has been based on Laplace's equation. However, at high frequencies the coupling between electric and magnetic fields requires solution of the full Maxwell equations. In this paper, a formulation is presented in terms of the Maxwell equations expressed in scalar and vector potentials. The approach leads to boundary conditions that naturally align with the quantities measured by EIT instrumentation. A two-dimensional implementation for image reconstruction from EIT data is realized. The effect of frequency on the field distribution is illustrated using the high-frequency model and is compared with Laplace solutions. Numerical simulations and experimental results are also presented to illustrate image reconstruction over a range of frequencies using the new implementation. The results show that scalar/vector potential reconstruction produces images which are essentially indistinguishable from a Laplace algorithm for frequencies below 1 MHz but superior at frequencies reaching 10 MHz.
Nirmal K Soni; Keith D Paulsen; Hamid Dehghani; Alex Hartov
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  IEEE transactions on medical imaging     Volume:  25     ISSN:  0278-0062     ISO Abbreviation:  IEEE Trans Med Imaging     Publication Date:  2006 Jan 
Date Detail:
Created Date:  2006-01-09     Completed Date:  2006-02-01     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8310780     Medline TA:  IEEE Trans Med Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  55-61     Citation Subset:  IM    
Philips Medical Systems, Cleveland, OH 44143, USA.
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MeSH Terms
Computer Simulation
Electric Impedance / diagnostic use*
Finite Element Analysis
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Information Storage and Retrieval / methods
Models, Biological*
Phantoms, Imaging
Tomography / instrumentation,  methods*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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