SIM4LIFE » Framework » MESHER

 Framework: MESHER

Robust & Effective Meshing

Sim4Life offers a unique array of discretization tools, ranging from the interactive generation of geometrically adaptive rectilinear grids by ray tracing combined with robust intersection testing to Delauney, advancing front, and octree-based methods for unstructured mesh generation in FEM-based solvers. Both irregular anatomical structures and CAD-based models can be handled robustly and flexibly while preserving features.

High-quality surface meshes of a human brain structure generated from MRI data with an overlay of the thermal simulation results.

Adaptive, rectilinear meshes (e.g., for P-EM-FDTD, P-ACOUSTICS, P-THERMAL) can be generated interactively with excellent heuristics-based automatic grid generation and flexible tuning.

A variety of meshers (e.g., for P-FLOW) capable of generating high-quality element, adaptive, feature preserving, unstructured meshes from CAD data and complex anatomical models are provided. (coming soon)

The only surface processing tool capable of producing topologically conforming, high triangle element quality, non-(self) intersecting surface meshes from noisy segmentation data; the ideal basis for unstructured volume mesh generation.


 Key Features

  • Adaptive, non-uniform meshing (graded)
  • Fastest high-speed grid generator, object-analysis-intelligence
  • Predefined/customizable grid templates (fast settings assignment)
  • New user-friendly & intuitive engine (gang axes / settings simplification)
  • Voxel connectivity check for PEC/metal connectivity verification
  • Specifically tailored meshers for Yee-FDTD or conformal solvers
  • High-level automation (one-click-grid)


  • Broad variety of user-defined grid settings
  • Real-time object selective gridding
  • Geometrical analysis of solids for grid refinement
  • GUI-based selection of estimated grid size/simulation time trade-off
  • Fast 3D or 2D conformal or Yee mesh viewer
  • Region selective mesh visualization (plane, cube, etc.)
  • Fully native 64 bit support for large meshes (>> 1 billion cells)


  • Variety of tools for editing & preprocessing surface meshes
  • Robust conversion of small and medium-sized surface meshes to NURBS models
  • Delaunay approach or an Advancing Front method (for computational meshes)
  • Specify local mesh parameters (defined on surface regions or sub-regions)
  • Mesh quality inspector (several quality metrics, mesh viewer with locating bad/small elements)

High-quality multi-domain mesh of selected brain structures (topologically conforming with compatible interfaces).

Solver-optimized surface meshes of a complex anatomical head model.

Fully automatic generation of multi-domain volume mesh from segmented data.