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

By Ménigot Sébastien, Girault Jean-Marc, Voicu Iulian, and Novell Anthony
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (2012)

  • Sébastien Ménigot

    ESEO

    France

Created

August 31, 2016

Last update

September 8, 2016

Software

Matlab

Ranking

139

Visits

3029

Downloads

82

Description

This program can compute the CTR for an excitation in the inversion pulse imaging frame (PI) from the file propabulle.m. The first excitation (phase 0°) propagates nonlinearly in the medium. The backscattered tissue echoes are recorded as well as the incident pressure in the microbubble. The microbubble response is calculated by the model Marmottant. The attenuation due to the contrast agent concentration is added. Finally the signal from microbubbles is multiplied by the number of bubble corresponding to the dilution 1/2000 for the calculated volume. The second excitation of phase follows the same principle. Finally CTR is deducted.

Selection Combining over the Extended η-μ Fading Channels

IEEE Wireless Communications Letters (2022)

Badarneh Osamah

Reactive vaccination of workplaces and schools against COVID-19

Working Paper (2021)

Faucher Benjamin, Assab Rania, Roux Jonathan, Levy-Bruhl Daniel, Tran-Kiem Cécile, Cauchemez Simon, Zanetti Laura, Colizza Vittoria, Boëlle Pierre-Yves, and Poletto Chiara

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

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

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

Ultrasonics (2016)

Ménigot Sébastien and Girault Jean-Marc

0 comment

Add comment

You need to log in to post a comment.