Finite Element Implementation of the Generalized-Lorenz Gauged A-&lt;inline-formula&gt; &lt;tex-math notation="LaTeX"&gt;$\Phi $ &lt;/tex-math&gt; &lt;/inline-formula&gt; Formulation for Low-Frequency Circuit Modeling

Liu, Yanlin; Sun, Sheng; Dai, Qi I.; Chew, Weng Cho

doi:10.1109/tap.2016.2593748

Cited by 17 publications

(14 citation statements)

References 31 publications

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“…where ρ (0) (r) (C/m 3 ) is the zeroth-order charge density in the thorax model. To apply the finite element method, the whole thorax model is first decomposed into a finite set of tetrahedra, and the scalar potential distribution in the thorax model is expanded in terms of the scalar Whitney-0 form elements {λ n (r)} as [25,26]…”

Section: Field Distribution In Thorax Modelmentioning

confidence: 99%

“…The magnetic vector potentialĀ (1) (r) is then expanded in terms of the vector Whitney-1 form elements {ω n (r)} as [25,26]Ā (1)…”

Section: Field Distribution In Thorax Modelmentioning

confidence: 99%

“…The full-wave solutionĒ(r) [25] will also be used to confirm the EQS approach. The power density per unit volume can be represented as [3]…”

Section: Field Distribution In Thorax Modelmentioning

confidence: 99%

“…Next, the temperature distribution is expanded as a superposition of scalar Whitney-0 form elements as [25,26] T…”

Section: Temperature Distribution In Thorax Modelmentioning

confidence: 99%

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Electroquasistatic Model of Capacitive Hyperthermia Affected by Heat Convection

Chen¹,

Kiang²

2019

PIER C

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An electroquasistatic (EQS) model of capacitive hyperthermia for treating lung tumors is proposed, based on which the finite element method is applied to compute the electrical potential in a human thorax model. The temperature distribution in the thorax model, which is surrounded by a bolus maintained at a constant temperature, is computed by numerically solving a bio-heat equation, which includes metabolic heat generated in the tissues, heat convection mechanism in tissues and bolus, as well as the heat delivered by the microwave field computed with the EQS model and finite element method. Temperature-dependent blood perfusion rates of blood and muscle, respectively, are adopted to account for the physiological reaction of tissues to temperature variation. By simulations, it is observed that adjusting the dielectric properties of adipose tissue via injection, the time evolution of temperature distribution can be controlled to some extent, providing more flexibility to customize a hyperthermia treatment plan for specific patient.

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Section: Field Distribution In Thorax Modelmentioning

confidence: 99%

“…The magnetic vector potentialĀ (1) (r) is then expanded in terms of the vector Whitney-1 form elements {ω n (r)} as [25,26]Ā (1)…”

Section: Field Distribution In Thorax Modelmentioning

confidence: 99%

“…The full-wave solutionĒ(r) [25] will also be used to confirm the EQS approach. The power density per unit volume can be represented as [3]…”

Section: Field Distribution In Thorax Modelmentioning

confidence: 99%

“…Next, the temperature distribution is expanded as a superposition of scalar Whitney-0 form elements as [25,26] T…”

Section: Temperature Distribution In Thorax Modelmentioning

confidence: 99%

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Electroquasistatic Model of Capacitive Hyperthermia Affected by Heat Convection

Chen¹,

Kiang²

2019

PIER C

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“…To solve Eq. (1) with finite element method, the computational domain is first divided into a set of adjoining tetrahedra, andĀ (0) (r) is expanded in terms of the Whitney-1 form elementsω n (r)'s defined in these tetrahedra as [19,20]…”

Section: Theory Of Magnetic Hyperthermiamentioning

confidence: 99%

Efficacy of Magnetic and Capacitive Hyperthermia on Hepatocellular Carcinoma

Chien-Chang

Kiang

2018

PIER M

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The efficacy of applying magnetic hyperthermia (MHT) and capacitive hyperthermia (CHT) to treat hepatocellular carcinoma (HCC) is studied. Magnetoquasistatic (MQS) and electroquasistatic (EQS) formulations are developed to compute the magnetic field and electric field distributions, respectively, which are numerically solved by using finite element method. The heat transport equation is applied to compute the temperature distribution in the treated area. Simulation results of temperature distribution are used to compare the efficacy of MHT and CHT.

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