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

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.

[1]  E B Ringelstein,et al.  Preoperative B‐mode ultrasound plaque appearance compared with carotid endarterectomy specimen histology , 2000, Acta neurologica Scandinavica.

[2]  C Yuan,et al.  Carotid atherosclerotic plaque: noninvasive MR characterization and identification of vulnerable lesions. , 2001, Radiology.

[3]  L. Masotti,et al.  Hardware and software platform for real-time processing and visualization of echographic radiofrequency signals , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[4]  L. Masotti,et al.  Tissue differentiation based on radiofrequency echographic signal local spectral content , 2003, IEEE Symposium on Ultrasonics, 2003.

[5]  L Landini,et al.  Fibrosis, Lipids, and Calcium in Human Atherosclerotic Plaque In Vitro Differentiation from Normal Aortic Walls by Ultrasonic Attenuation , 1985, Circulation research.

[6]  Lorenzo Capineri,et al.  RADIOFREQUENCY REAL TIME PROCESSING: ULTRASONIC SPECTRAL IMAGES AND VECTOR DOPPLER INVESTIGATION , 2002 .

[7]  Elena Biagi,et al.  Real Time Images of Local Ultrasonic Spectral Parameters for Tissue Differentation Through Wavelet Transform , 2004 .

[8]  R. Ross The pathogenesis of atherosclerosis--an update. , 1986, The New England journal of medicine.

[9]  D E Fitzgerald,et al.  Prognostic value of ultrasound morphology in carotid atherosclerosis. , 1993, International angiology : a journal of the International Union of Angiology.

[10]  Allan J. Fox,et al.  Significance of Plaque Ulceration in Symptomatic Patients With High‐Grade Carotid Stenosis , 1994, Stroke.

[11]  B. Nordestgaard,et al.  Ultrasonic Echolucent Carotid Plaques Predict Future Strokes , 2001, Circulation.