Human Liver Tissue Characterization Using Backscattered Ultrasound Signals Mean Scatterer Spacing
Type : Article de conférence
Auteur(s) : , ,
Année : 2016
Domaine : Sciences des matériaux
Conférence: 7th African Conference on Non Destructive Testing (ACNDT) & the 5th International Conference on NDT and Materials Industry and Alloys (IC-WNDT-MI)
Lieu de la conférence: Oran, Algeria
Résumé en PDF :
Fulltext en PDF :
Mots clés : Periodicity, Liver tissue, Mean scatterer spacing, Backscattered Ultrasound Signals
Auteur(s) : , ,
Année : 2016
Domaine : Sciences des matériaux
Conférence: 7th African Conference on Non Destructive Testing (ACNDT) & the 5th International Conference on NDT and Materials Industry and Alloys (IC-WNDT-MI)
Lieu de la conférence: Oran, Algeria
Résumé en PDF :
Fulltext en PDF :
Mots clés : Periodicity, Liver tissue, Mean scatterer spacing, Backscattered Ultrasound Signals
Résumé :
Using the backscattered ultrasound signals, we studied the periodicity of in vitro healthy and pathological liver tissue, we utilized the mean scatterer spacing (MSS) as a parameter of tissue characterization, estimated by: Spectral Auto-Correlation (SAC), Spectral Correlation of the autoregressive model (AR-SAC) and the Discrete Wavelet Technique (DWT), in comparison between this three method, the result of simulation confirm that 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.