Mean Scatterer Spacing For Human Liver Tissue Characterization Using Backscattered Ultrasound Signals

Type : Article de conférence
Auteur(s) :  Ahmed Benyahia, Abdelhafid KADDOUR, Nabil HAFI, Ahmed BAHI AZZOUOUM, Mourad ZERGOUG
Année :  2016
Domaine : Electronique
Conférence: 7th African Conference on Non Destructive Testing (ACNDT 2016) and 5th International Conference on Welding, Non Destructive Testing and Materials and Alloys Industry (IC-WNDT-MI’16)
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Mots clés :  Periodicity, Liver tissue, Mean scatterer spacing, Backscattered Ultrasound Signals

Résumé : 

We studied the periodicity of in vitro healthy and pathological liver tissue using the backscattered ultrasound signals. Lot of signal processing methods are used to mean scatterer spacing (MSS) as a parameter of tissue characterization, we cite: Spectral Auto-Correlation (SAC), Spectral Correlation of the autoregressive model (AR-SAC) and others. We used the Discrete Wavelet Technique (DWT) to MSS estimate, in comparison, the DWT with Fourier Transform together (DWT with FT) can provide a very effective tool to extract the MSS from such structure and characterize the tissue