2008
DOI: 10.2528/pierl07120605
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Numerical Method of Simulation of Material Influences in MR Tomography

Abstract: Abstract-Generally all Magnetic Resonance Imaging (MRI) techniques are affected by magnetic and electric properties of measured materials, resulting in errors in MR image. Using numerical simulation we can solve the effect of changes in homogeneity of static and RF magnetic fields caused by specimen made from conductive and/or magnetic material in MR tomograph. This paper deals with numerical simulation of material susceptibility influence to magnetic field.

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Cited by 7 publications
(8 citation statements)
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“…With VFM Processing, composites containing carbon fiber and metal particles can be processed without arcing. It can be argued that numerical methods can be used to simulate results obtained in the cases mentioned [27][28][29][30][31][32][33].…”
Section: Resultsmentioning
confidence: 99%
“…With VFM Processing, composites containing carbon fiber and metal particles can be processed without arcing. It can be argued that numerical methods can be used to simulate results obtained in the cases mentioned [27][28][29][30][31][32][33].…”
Section: Resultsmentioning
confidence: 99%
“…The Finite Element Method can be one of the best choices for providing realistic and precise model [30,31,[36][37][38]. Also, 3D-FEM has advantages over 2D in many applications modeling [32,33], for example the skew effect, end ring effect and some other practical issues such as motor length are missed in two dimensional analyses.…”
Section: Finite Element Modeling Of Srm Under Faulty and Healthy Opermentioning
confidence: 99%
“…Over several decades, numerical methods in Electromagnetics have been the subject of extensive researches [1][2][3][4][5][6][7][8][9][10][11]. On the other hand, many problems in Electromagnetics can be modeled by integral and integro-differential equations (see [12][13][14][15][16][17][18][19][20][21]); for example, electric field integral equation (EFIE) and magnetic field integral equation (MFIE).…”
Section: Introductionmentioning
confidence: 99%