In short, SimSonic models propagation in both fluid and solid media, which can be anisotropic and heterogeneous. The various versions of SimSonic correspond to different characteristics in terms of spatial dimensions and symmetries, but are otherwise based on the same physical model. The objective of this website is to provide researchers/students/teachers involved in ultrasound propagation with mature versions of SimSonic. It is however a very general tool that can be applied to various situations involving ultrasound propagation in fluids and/or solids (biomedical imaging, non-destructive testing, photoacoustic imaging, etc.). So far, SimSonic has been used mostly for research involving ultrasound propagation in bone ( References). Since then, SimSonic has been developed by Emmanuel Bossy, now at Institut Langevin, CNRS- ESPCI ParisTech, Paris, France, and has regularly been enriched with new options and versions.
The development of SimSonic was started in 2003 by Emmanuel Bossy during his PhD work at the Laboratoire d'Imagerie Paramétrique (CNRS-University Paris 6) in Paris, France.
FDTD SIMULATION MATLAB FOR FREE
In exchange for free access to the SimSonic suite, the users are asked to make proper references, in their research publications or any other types of oral or written communications, to and to Bossy et al, JASA 115, 2314-2324, 2004 (see References). The SimSonic suite consists of several compiled programs and C source codes, free for use, under the GNU GPL license (please see Copyrights). It is intended as a tool for researchers, teachers and students communities.
FDTD SIMULATION MATLAB CODE
o Two dimensional code written in Matlab (Matrix Laboratory ) by 1 was used in this study. Discretization is based on Yee’s algorithm 5.
FDTD SIMULATION MATLAB SOFTWARE
SimSonic is freely available 3rd party software suite for the simulation of ultrasound propagation, based on finite-difference time-domain (FDTD) computations of the elastodynamic equations. FDTD Numerical Simulation FDTD Methods o Maxwell’s Curl equations were evaluated in both space and time domains numerically by finite difference methods.
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