The importance of the analysis of the radiofrequency signal is by now recognized in the field of tissue characterization via ultrasound. The RF signal contains a wealth of information and structural details that are usually lost in the B-Mode representation. The HyperSPACE (Hyper SPectral Analysis for Characterization in Echography) algorithm presented by the authors in previous papers for clinical applications is based on the radiofrequency ultrasonic signal. The present work describes the method in detail and evaluates its performance in a repeatable and standardized manner, by using two test objects: a commercial test object that simulates the human parenchyma, and a laboratory-made test object consisting of human blood at different dilution values. In particular, the sensitivity and specificity in discriminating different density levels were estimated. In addition, the robustness of the algorithm with respect to the signal-to-noise ratio was also evaluated. © 2016 The Authors
Multidimensional spectral analysis of the ultrasonic radiofrequency signal for characterization of media / Granchi, S; Vannacci, E; Biagi, E; Masotti, L. - In: ULTRASONICS. - ISSN 0041-624X. - STAMPA. - 68:(2016), pp. 89-101. [10.1016/j.ultras.2016.02.010]
Multidimensional spectral analysis of the ultrasonic radiofrequency signal for characterization of media
GRANCHI, SIMONA;VANNACCI, ENRICO;BIAGI, ELENA;MASOTTI, LEONARDO
2016
Abstract
The importance of the analysis of the radiofrequency signal is by now recognized in the field of tissue characterization via ultrasound. The RF signal contains a wealth of information and structural details that are usually lost in the B-Mode representation. The HyperSPACE (Hyper SPectral Analysis for Characterization in Echography) algorithm presented by the authors in previous papers for clinical applications is based on the radiofrequency ultrasonic signal. The present work describes the method in detail and evaluates its performance in a repeatable and standardized manner, by using two test objects: a commercial test object that simulates the human parenchyma, and a laboratory-made test object consisting of human blood at different dilution values. In particular, the sensitivity and specificity in discriminating different density levels were estimated. In addition, the robustness of the algorithm with respect to the signal-to-noise ratio was also evaluated. © 2016 The Authors
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