An echographic method for differentiating pathological regions in biological tissue was proposed one year ago. The method, named RULES, is based on radiofrequency (RF) echographic signal processing. It permits to extract spectral parameters related to the organization and mechanical properties of investigated tissue. Spectral images are produced through a processing procedure, based on the Discrete Wavelet Packet Transform. A hardware-software platform, FEMMINA, Fast Echographic Multiparameter Multi Image Novel Apparatus, for real-time signal and image processing was employed in order to test the diagnostic applicability of the method. The results for breast tumor detection and characterization will be presented in this work together with the results coming from the clinical experimentation on prostate where the RULES features are employed for localizing pathological zones in order to guide the bioptical sampling. © 2004 IEEE.
Clinical test of RULES (RULES: Radiofrequency Ultrasonic Local EStimator) / Masotti, L.; Biagi, E.; Granchi, S.; Ceccarelli, F.; Luddi, A.; Magrini, E.; Di Lorenzo, F.. - STAMPA. - 3:(2005), pp. 2173-2176. (Intervento presentato al convegno IEEE ULTRASONIC SYMPOSIUM tenutosi a Montreal, Que.; Canada nel 23_27 August 2004).
Clinical test of RULES (RULES: Radiofrequency Ultrasonic Local EStimator).
MASOTTI, LEONARDO;BIAGI, ELENA;GRANCHI, SIMONA;CECCARELLI, FEDERICO;LUDDI, ALESSANDRA;MAGRINI, ERIKA;DI LORENZO, FABIO
2005
Abstract
An echographic method for differentiating pathological regions in biological tissue was proposed one year ago. The method, named RULES, is based on radiofrequency (RF) echographic signal processing. It permits to extract spectral parameters related to the organization and mechanical properties of investigated tissue. Spectral images are produced through a processing procedure, based on the Discrete Wavelet Packet Transform. A hardware-software platform, FEMMINA, Fast Echographic Multiparameter Multi Image Novel Apparatus, for real-time signal and image processing was employed in order to test the diagnostic applicability of the method. The results for breast tumor detection and characterization will be presented in this work together with the results coming from the clinical experimentation on prostate where the RULES features are employed for localizing pathological zones in order to guide the bioptical sampling. © 2004 IEEE.
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