ZMT Sim4Life 7.0

The highlights of Sim4Life V7.0 in a nutshell:

• Module T-NEURO: faster by >10×, a new axon model, and an improved user interface guided by neuroscientists
• IMAnalytics Suite V1.0: now includes a novel Test Field Diversity (TFD) method for in vitro measurements
• Sim4Life and DASY8/6: numerical models created with DASY8/6 Module mmWave V3.0+ can now be directly imported – without cumbersome validation – for further in silico evaluation
• New solver-enhanced phantoms: accurate simulations of body-mounted 5G NR FR2 devices as well as computation of over-the-air performance and absorbed power densities without limitations
• Smaller file sizes: results from full-wave simulations can now be automatically compressed, resulting in massive savings of up to 20× in file size
• Eddie cV3.1: a new high-quality posable human male anatomical phantom has been added to the Virtual Population library

Additional highlights include new CAD modeling tools for extraction of flexible surfaces as well as for generation of implant routings for MRI safety evaluations, support for the latest Ampere GPU architecture, and optimization of speed performance on multi-GPU machines!


Neuronal Dynamics Simulation: T-NEURO Module

In Sim4Life V7.0 the T-NEURO module has received a huge performance and applicability boost – pushing your neurostimulation applications to the next level.


PERFORMANCE BOOST: >10× SPEEDUP AND REMOTE SOLVING

• Neural simulations can now be run remotely, offloading time and resource-intensive simulations to any machine in your network
• Axon discretization has been generated in pure C++ code, boosting performance by more than an order of magnitude; 1,000 axons discretize in 180s in V7.0, compared to 2250s in V6.2
• Enhancements of the user experience include a shift of the axon model and parameter assignment to the modeling stage and various improvements to sensor and point process creation tools

NEW NEURON MODEL: A-DELTA FIBERS

• The T-NEURO Module of Sim4Life V7.0 now features a new class of axon models, the A-Delta class, of spinal afferents
• A-Delta fibers carry information from peripheral nociceptors to the dorsal horn of the spinal cord
• A dedicated tool for modeling A-Delta fibers supports nonlinear morphologies with central and peripheral branches

ANISOTROPIC DISTRIBUTIONS

Sim4Life V7.0 provides strengthened support for assignment of realistic anisotropic distributions based on diffusion weighted images (DWI):

• An improved image importer now supports additional formats for multi-component (tensor) images
• DWI-based tensor fields can now be converted into conductivity tensor fields
• Several additional evaluators allow analysis of tensor fields for user verification of the plausibility of DWI reconstructions