2015
DOI: 10.1063/1.4929473
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Evaluation of three-dimensional anisotropic head model for mapping realistic electromagnetic fields of brain tissues

Abstract: Electromagnetic fields provide fundamental data for the imaging of electrical tissue properties, such as conductivity and permittivity, in recent magnetic resonance (MR)-based tissue property mapping. The induced voltage, current density, and magnetic flux density caused by externally injected current are critical factors for determining the image quality of electrical tissue conductivity. As a useful tool to identify bio-electromagnetic phenomena, precise approaches are required to understand the exact respon… Show more

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Cited by 1 publication
(2 citation statements)
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“…[12][13][14] In addition, the conductivity distribution of living tissues can be obtained from two independent current injection data inside the imaging objects. 7,9,12 From numerical simulation and mimicked phantom experiments, 12,15,16 several studies have proposed that this method has a potential for visualizing current density distribution in living tissues. However, there was a few validation studies on living tissues.…”
Section: Deep Brain Stimulation (Dbs)mentioning
confidence: 99%
See 1 more Smart Citation
“…[12][13][14] In addition, the conductivity distribution of living tissues can be obtained from two independent current injection data inside the imaging objects. 7,9,12 From numerical simulation and mimicked phantom experiments, 12,15,16 several studies have proposed that this method has a potential for visualizing current density distribution in living tissues. However, there was a few validation studies on living tissues.…”
Section: Deep Brain Stimulation (Dbs)mentioning
confidence: 99%
“…21,22 Together with electrode size and shape, boundary geometry, current flow is also affected by tissue conditions such as anisotropy. 15,17 The difference around electrode regions between the measured B z and calculated B z 0 originates from the degree of brain tissue anisotropy. Figure 3 shows the resulting current density images of the in vivo brain in two different imaging slices.…”
Section: Current Density Image Reconstruction and Quantificationmentioning
confidence: 99%