SIM4LIFE » Physics Models » P-EM-QS
P-EM-QS

 Physics Models: P-EM-QS

Quasi-Static EM Solvers

The Quasi-Static Electromagnetic Solvers (P-EM-QS) enable the efficient modeling of static and quasi-static EM regimes by applying the finite element method on graded voxel meshes. The solvers address the most challenging low frequency problems at the cutting edge of medical and EM compliance applications, such as simulations of EEG, MRI gradient coil fields, transcranial magnetic or current stimulation, and deep brain and spinal cord stimulator implants.

Analysis of phosphene generation by transcranial alternating current stimulation.

 

Each solver is optimized for a different approximation of Maxwell’s equations, offering improved speed, convergence, and accuracy for a wide range of scenarios.

Measured data and user-defined field or current distributions can be used as sources.

The P-EM-QS solvers have been validated and the uncertainties have been quantified using analytical and full-wave solutions and by comparison with measurement data. Comprehensive documentation is available for Sim4Life.

 

 

 Application Areas

  • MRI RF Coil Design w/ Gradient Interaction
  • MRI Tx RF Coil Design w/ Gradient Interaction & Safety
  • MRI Gradient Coil Design
  • EEG / ECG
  • Deep Brain & Spinal Cord Implants

 

  • Transcranial Magnetic or Current Stimulation
  • LF Hyperthermia (e.g., with nanoparticles)
  • Magneto Hemo-Dynamics
  • Sound Exposure (e.g., in MRI)
  • Neuro-Prosthetics (retina, cochlea, vestibular, motor)
  • EM Neuro-Stimulation

 

  • Neuro-Motoric Incapacitation
  • High LF EM Field Safety Assessment (e.g., MR Gradient Coils)
  • Physiotherapy Heating
  • Magnetic Navigation
  • Defibrilator Analysis
  • Pacemakers
 

 Key Features

  • Automatic simulation termination
  • Electrostatic and Electro quasi-static
  • Magnetostatic and Magneto quasi-static with constant permeability

 

  • 3D static solver
  • 3D LF solvers, E/H integrated into Sim4Life
  • FEM based (rectilinear grids)
  • Non-homogeneous intelligent gridder engine (geometry detection)

 

  • Coupled with Thermal solvers
  • Floating metals in ES and EQS
  • Results of S-Parameters
    extracted vs. frequency or in
    steady state
 

Gradient coil design and optimization.

Assessment of nerve excitation during transcranial
magnetic stimulation.

Exposure evaluation of high power systems during
maintenance.