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

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

  • Sébastien Ménigot

    Université François-Rabelais de Tours

    France

Created

July 15, 2016

Last update

July 18, 2016

Software

Matlab

Ranking

149

Visits

699

Downloads

40

Description

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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