• DocumentCode
    1824128
  • Title

    Carotid plaque tissue differentiation based on radiofrequency echographic signal local spectral content (RULES: Radiofrequency Ultrasonic Local Estimators)

  • Author

    Masotti, L. ; Biagi, E. ; Granchi, S. ; Luddi, A. ; Breschi, L. ; Facchini, R.

  • Author_Institution
    Dept. of Electron. & Telecommun., Ultrasound & non Destruct. Testing Lab., Florence
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    1051
  • Lastpage
    1054
  • Abstract
    An echographic method is proposed in order to detect and differentiate carotid vessel plaques. The method based on a novel spectral processing procedure for the radiofrequency echo signal is named RULES (radiofrequency ultrasonic local estimators). It allows the extraction of local spectral parameters related to the organization and mechanical properties of an investigated tissue region. Spectral images are produced through a processing procedure, based on a statistical analysis of radiofrequency signal spectral coefficients, calculated with the discrete wavelet packet transform. For each organ, the regions of the investigated tissue, which exhibit the same distribution of the spectral coefficients, were considered homogeneous and were put in correspondence with local tissue condition (healthy or with pathology), as derived from histological analysis.
  • Keywords
    blood vessels; echocardiography; medical image processing; wavelet transforms; RULES; carotid plaque tissue differentiation; carotid vessel plaque; discrete wavelet packet transform; echographic method; radiofrequency echo signal; radiofrequency echographic signal local spectral content; radiofrequency signal spectral coefficients; radiofrequency ultrasonic local estimators; spectral imaging; Radiofrequency echo signal; spectral processing; tissue differentiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541180
  • Filename
    4541180