Optimization of Contrast Resolution by Genetic Algorithm in Ultrasound Tissue Harmonic Imaging

By Ménigot Sébastien and Girault Jean-Marc
Ultrasonics (2016)

  • Sébastien Ménigot




July 15, 2016

Last update

July 18, 2016










Optimization of contrast resolution by genetic algorithm in ultrasound tissue harmonic imaging : Simulation. This program can optimize the ultrasound excitation from a genetic algorithm. The simulation model is constructed on the basis of the pulse inversion imaging system. It is composed of different phases: transmission, 2D nonlinear propagation and reception. The 2D nonlinear wave propagation is solved using the Anderson model based on a pseudo-spectral derivative and a time-domain integration algorithm. This solver requires three grids: a grid of mean density, a grid of mean speed of sound and a grid of a B/A nonlinearity parameter. The tissue echoes are filtered by the transfer function of the transducer. Finally, the contrast resolution is computed from the radiofrequency line and the optimization process computes a new stochastic signal to explore the medium again. To run this code, the main file is En_Optimisation.m. However, you have to set the medium properties by En_FindEnergy.m (values) and En_propagation.m (geometry)

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