An improved 10-tissue human head model with real anatomical structure and hexahedral discretization feature in magnetic induction measurement simulation

Zhang, Ziyi; Liu, Peiguo; Zhou, Dongming; Ding, Liang

doi:10.1080/24699322.2016.1240302

Cited by 3 publications

(2 citation statements)

References 13 publications

(14 reference statements)

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“…The high-frequency time domain solver in CST-Microwave Studio simulation was used to simulate the 3D RHHM. We computed the SAR distribution at the two standard ISM frequency bands, 915 MHz, and 2450 MHz [35,36]. The PAS antenna was placed in the back of the 3D RHHM.…”

Section: Sar Results For the 3d Rhhmmentioning

confidence: 99%

“…Using a level tracing tool, the editor module divides the region of interest by highlighting nearby voxels of comparable intensities. The differences in the magnetic resonance (MR) signal cause contrast between tissues, which depend on the T1, and proton density of the tissues, and sequence parameters [21,36]. We constructed an actual human head model based on 2D MRI gained from an actual patient.…”

Section: Brain Models 221 Segmentation Processmentioning

confidence: 99%

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The significance of nanoparticles in brain cancer diagnosis and treatment: modeling and simulation

Badawi¹,

Hafez²

2022

Biomed. Phys. Eng. Express

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A numerical analysis of specific absorption rate (SAR) and temperature distributions in a realistic human head model is presented in this study. The key challenge is to rise cancer temperature to an optimal temperature without heating nearby healthy tissues. The model's uniqueness is that it captures the effect of nanoparticles on both brain cancer diagnosis and treatment. A realistic human head model with a cancerous brain segmented from 2D magnetic resonance imaging (MRI) gained from an actual patient using 3D Slicer, modeled, and simulated using CST-Microwave Studio, and illuminated by Archimedes spiral antenna. At frequencies of 2450 MHz and 915 MHz, the model simulated the absence and presence of various nanoparticles. The obtained results suggest that when using nanoparticles, it is possible to achieve sufficient energy deposition and temperature rise to therapeutic values (greater than 42o C) in brain cancers using the proposed noninvasive hyperthermia system at 915 MHz frequency, especially for gold nanoparticles, without harming surrounding healthy tissue. Our research might pave the way for a clinical applicator prototype that can heat brain cancer.

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Section: Sar Results For the 3d Rhhmmentioning

confidence: 99%

Section: Brain Models 221 Segmentation Processmentioning

confidence: 99%

The significance of nanoparticles in brain cancer diagnosis and treatment: modeling and simulation

Badawi¹,

Hafez²

2022

Biomed. Phys. Eng. Express

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A Finite Element Head Model Based on Chinese Visible Human Dataset for Electromagnetic Simulations of Magnetic Induction Measurement

Zhang¹,

Huang²,

Wang³

et al. 2021

2021 International Conference on E-Health and Bioengineering (EHB)

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Numerical simulation of intracerebral hemorrhage detection using magnetic induction spectroscopy

Zhang¹,

Huang²,

Liu

et al. 2023

JAE

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Magnetic Induction Spectroscopy (MIS) is an emerging technique for contactless measurement of bioimpedance with promising application in intracerebral hemorrhage (ICH) detection. Here, we report numerical simulations of ICH detection based on the MIS. A novel MIS sensor using two planar rectangular spiral coils (TPRSC) as the exciter with frequency range 120 kHz-9 MHz is proposed for the first time. The exciter can generate an antisymmetric normal magnetic field at the detection sensor, and hence the primary voltage can be canceled theoretically. We construct symmetry-based and asymmetry-based ICH models with realistic anatomic structure and hexahedral discretization feature for numerical simulations. The numerical simulations based on the finite integration technique are conducted in the three-dimensional electromagnetic analysis software CST. The voltage phase spectrum, the phase change spectrum and the relative conductivity change spectrum at different hemorrhage volumes are calculated. We compare sensitivities between the TPRSC-based MIS sensor and the conventional type (CC MIS sensor) which uses the single planar rectangular spiral coil as the exciter. Using the constructed ICH models, the specific absorption rate (SAR) and the internal electric field strength are computed to evaluate the electromagnetic safety of the TPRSC-based MIS sensor. Results show that compared with the CC MIS sensor, the sensitivity of the TPRSC-based MIS sensor for measuring the voltage phase is improved by two orders of magnitude, and for measuring the phase change is improved by more than ten times. The phase change and relative conductivity change spectra for the TPRSC-based MIS sensor demonstrate good separability between different small-volume hemorrhages. In addition, the electromagnetic safety of the TPRSC-based MIS is also superior to that of the CC MIS sensor, which conforms to the IEEE standard and the ICNRP guidelines over a wide range of the amplitude of the excitation current.

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An improved 10-tissue human head model with real anatomical structure and hexahedral discretization feature in magnetic induction measurement simulation

Cited by 3 publications

References 13 publications

The significance of nanoparticles in brain cancer diagnosis and treatment: modeling and simulation

The significance of nanoparticles in brain cancer diagnosis and treatment: modeling and simulation

A Finite Element Head Model Based on Chinese Visible Human Dataset for Electromagnetic Simulations of Magnetic Induction Measurement

Numerical simulation of intracerebral hemorrhage detection using magnetic induction spectroscopy

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