DocumentCode
1820214
Title
An Improved Quasi-static Finite-difference Scheme for Induced Field Evaluation in MRI based on the Biconjugate Gradient Method
Author
Wang, H. ; Liu, F. ; Trakic, A. ; Xia, L. ; Crozier, S.
Author_Institution
Univ. of Queensland, Brisbane
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
487
Lastpage
490
Abstract
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.
Keywords
biomedical MRI; finite difference methods; health and safety; phantoms; physiological models; MRI systems; biconjugate gradient method; electromagnetic field distributions; health and safety; human body model; induced field evaluation; iterative algorithm; magnetic resonance imaging; magnetically induced electric fields; phantom; quasistatic finite-difference scheme; successive over-relaxation algorithm; Biological system modeling; Electromagnetic fields; Finite difference methods; Gradient methods; Health and safety; Humans; Iterative methods; Magnetic analysis; Magnetic fields; Magnetic resonance imaging; Electromagnetic Fields; Finite Element Analysis; Humans; Magnetic Resonance Imaging; Models, Biological; Occupational Exposure;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4352329
Filename
4352329
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