Document Detail


An improved quasi-static finite-difference scheme for induced field evaluation in MRI based on the biconjugate gradient method.
MedLine Citation:
PMID:  18001995     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In modern magnetic resonance imaging (MRI), there are concerns for the health and safety of patients and workers repeatedly exposed to magnetic fields, and therefore accurate and efficient evaluation of in situ electromagnetic field (EMF) distributions has gained a lot of significance. This paper presents a Biconjugate Gradient Method (BiCG) to efficiently implement the quasi-static finite-difference scheme (QSFD), which has been widely utilized to model and analyze magnetically induced electric fields and currents within the human body during the operation of the MRI systems and in other settings. The proposed BiCG method shows computational advantages over the iterative, successive over-relaxation (SOR) algorithm. The scheme has been validated against other known solutions on a lossy, multilayered ellipsoid phantom excited by an ideal loop coil. Numerical results on a 3D human body model demonstrate that the convergence time and memory consumption is significantly reduced using the BiCG method.
Authors:
H Wang; F Liu; A Trakic; L Xia; S Crozier
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  2007     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-16     Completed Date:  2008-03-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  487-90     Citation Subset:  IM    
Affiliation:
School of ITEE, The University of Queensland, Australia.
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MeSH Terms
Descriptor/Qualifier:
Electromagnetic Fields / adverse effects*
Finite Element Analysis
Humans
Magnetic Resonance Imaging / adverse effects*
Models, Biological*
Occupational Exposure / adverse effects*

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


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