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

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

  • Sébastien Ménigot

    ESEO

    France

Created

July 15, 2016

Last update

July 18, 2016

Software

Matlab

Ranking

154

Visits

2376

Downloads

58

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)

Selection Combining over the Extended η-μ Fading Channels

IEEE Wireless Communications Letters (2022)

Badarneh Osamah

Detection of Weak Doppler Microembolic Signature using Two-Dimensional-Adaptive Time-Frequency Threshold from Spectrogram

Biomedical Signal Processing and Control (2020)

Ménigot Sébastien, Geryes Maroun, and Girault Jean-Marc

An overview of nearly a half century of microembolic signal processing techniques

Working Paper (2019)

Girault Jean-Marc, Geryes Maroun, Charara Jamal, and Ménigot Sébastien

Improving the game theoretic analysis of electricity auctions applied in medium markets

Journal of Computational Science (2016)

Zarei Mohammad and Salami Abolfazl

SNR Improvement by Subharmonic Extraction with Hammerstein Models for Microbubble Signals

Working Paper (2016)

Ménigot Sébastien, Kanbar Emma, Bouakaz Ayache, and Girault Jean-Marc

Optimization of Contrast to Tissue Ratio by Frequency Adaptation in Pulse Inversion Imaging

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (2012)

Ménigot Sébastien, Girault Jean-Marc, Voicu Iulian, and Novell Anthony

Contrast Improvement in Sub- and Ultraharmonic Ultrasound Contrast Imaging by Combining Several Hammerstein Models

International Journal of Biomedical Imaging (2013)

Sbeity Fatima, Ménigot Sébastien, Charara Jamal, and Girault Jean-Marc

A General Framework for Modeling Sub- and Ultraharmonics of Ultrasound Contrast Agent Signals with MISO Volterra Series

Computational and Mathematical Methods in Medicine (2013)

Sbeity Fatima, Ménigot Sébastien, Charara Jamal, and Girault Jean-Marc

LCS Tool: A Computational Platform for Lagrangian Coherent Structures

Journal of Computational Science (2015)

Onu Kristjan, Huhn Florian, and Haller George

0 comment

Add comment

You need to log in to post a comment.