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.
journal_name
Ultrasonicsjournal_title
Ultrasonicsauthors
Granchi S,Vannacci E,Biagi E,Masotti Ldoi
10.1016/j.ultras.2016.02.010subject
Has Abstractpub_date
2016-05-01 00:00:00pages
89-101eissn
0041-624Xissn
1874-9968pii
S0041-624X(16)00035-4journal_volume
68pub_type
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