An improved quasi-static finite-difference scheme for induced field evaluation in MRI based on the biconjugate gradient method

Wang, H., Liu, F., Trakic, A., Xia, L. and Crozier, S. (2007). An improved quasi-static finite-difference scheme for induced field evaluation in MRI based on the biconjugate gradient method. In: A. Dittmar and J. Clark, Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, (487-490). 23-26 August, 2007.


Author(s) Wang, H.
Liu, F.
Trakic, A.
Xia, L.
Crozier, S.
Title of paper An improved quasi-static finite-difference scheme for induced field evaluation in MRI based on the biconjugate gradient method
Conference name 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007)
Conference location Lyon, France
Conference dates 23-26 August, 2007
Proceedings title Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Editor(s) A. Dittmar
J. Clark
Place published Piscataway NY, USA
Publisher IEEE
Publication date 2007
ISBN 1-4244-0788-5
Start page 487
End page 490
Total pages 4
Collection year 2008
Language eng
Abstract/Summary 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.
Subjects E1
291500 Biomedical Engineering
671402 Medical instrumentation
Keyword(s) MRI
Occupational Health and Safety
EMF
Patients
Employees
Biconjugate Gradient Method (BiCG)
 
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http://www.embc07.ulster.ac.uk/  
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http://dx.doi.org/10.1109/IEMBS.2007.4352329  
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