Nothing Special   »   [go: up one dir, main page]

Gomez-Tames et al., 2017 - Google Patents

Computational artifacts of the in situ electric field in anatomical models exposed to low-frequency magnetic field

Gomez-Tames et al., 2017

View PDF
Document ID
4598775584929304224
Author
Gomez-Tames J
Laakso I
Haba Y
Hirata A
Poljak D
Yamazaki K
Publication year
Publication venue
IEEE Transactions on Electromagnetic Compatibility

External Links

Snippet

An in situ (internal) electric field is used as a dosimetric quantity for human protection from low-frequency electromagnetic fields (lower than 5 MHz) under international safety standard/; guidelines. The IEEE standard uses a homogenous elliptical cross section to …
Continue reading at nitech.repo.nii.ac.jp (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/28Details of apparatus provided for in groups G01R33/44 - G01R33/64
    • G01R33/38Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
    • G01R33/385Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using gradient magnetic field coils
    • G01R33/3854Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using gradient magnetic field coils means for active and/or passive vibration damping or acoustical noise suppression in gradient magnet coil systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/5018Computer-aided design using simulation using finite difference methods or finite element methods

Similar Documents

Publication Publication Date Title
Gomez-Tames et al. Computational artifacts of the in situ electric field in anatomical models exposed to low-frequency magnetic field
Saturnino et al. Electric field simulations for transcranial brain stimulation using FEM: an efficient implementation and error analysis
Makarov et al. A quasi-static boundary element approach with fast multipole acceleration for high-resolution bioelectromagnetic models
Laakso et al. Fast multigrid-based computation of the induced electric field for transcranial magnetic stimulation
Davids et al. Predicting magnetostimulation thresholds in the peripheral nervous system using realistic body models
Bakker et al. Children and adults exposed to low-frequency magnetic fields at the ICNIRP reference levels: theoretical assessment of the induced electric fields
Simunic et al. Spatial distribution of high-frequency electromagnetic energy in human head during MRI: numerical results and measurements
Soldati et al. Computational errors of the induced electric field in voxelized and tetrahedral anatomical head models exposed to spatially uniform and localized magnetic fields
Crozier et al. Numerical evaluation of the fields induced by body motion in or near high-field MRI scanners
De Geeter et al. A DTI-based model for TMS using the independent impedance method with frequency-dependent tissue parameters
Laakso et al. Computational dosimetry of induced electric fields during realistic movements in the vicinity of a 3 T MRI scanner
Diao et al. Spatial averaging schemes of in situ electric field for low-frequency magnetic field exposures
Poljak et al. On the use of conformal models and methods in dosimetry for nonuniform field exposure
Zang et al. A co-simulation scalar-potential finite difference method for the numerical analysis of human exposure to magneto-quasi-static fields
Turovets et al. A 3D Finite‐Difference BiCG Iterative Solver with the Fourier‐Jacobi Preconditioner for the Anisotropic EIT/EEG Forward Problem
Crozier et al. Numerical study of currents in workers induced by body‐motion around high‐ultrahigh field MRI magnets
Poljak et al. On the use of the boundary element analysis in bioelectromagnetics
Liorni et al. Dosimetric study of fetal exposure to uniform magnetic fields at 50 Hz
Soldati et al. Effect of electrical conductivity uncertainty in the assessment of the electric fields induced in the brain by exposure to uniform magnetic fields at 50 Hz
Klein et al. Sensitivity analysis of neurodynamic and electromagnetic simulation parameters for robust prediction of peripheral nerve stimulation
Diao et al. Intercomparison of the averaged induced electric field in learning-based human head models exposed to low-frequency magnetic fields
Laakso et al. Modelling of induced electric fields based on incompletely known magnetic fields
Laakso et al. Computational analysis of thresholds for magnetophosphenes
Crozier et al. Exposure of workers to pulsed gradients in MRI
Rashed et al. Effect of skin-to-skin contact on stimulation threshold and dosimetry