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Sensors 2017, 17(6), 1402;

Torsional Ultrasound Sensor Optimization for Soft Tissue Characterization

Department of Structural Mechanics, University of Granada; ETS Ingenieros de Caminos, Severo Ochoa s/n, 18071 Granada, Spain
Author to whom correspondence should be addressed.
Received: 2 May 2017 / Revised: 8 June 2017 / Accepted: 9 June 2017 / Published: 15 June 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2017)
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Torsion mechanical waves have the capability to characterize shear stiffness moduli of soft tissue. Under this hypothesis, a computational methodology is proposed to design and optimize a piezoelectrics-based transmitter and receiver to generate and measure the response of torsional ultrasonic waves. The procedure employed is divided into two steps: (i) a finite element method (FEM) is developed to obtain a transmitted and received waveform as well as a resonance frequency of a previous geometry validated with a semi-analytical simplified model and (ii) a probabilistic optimality criteria of the design based on inverse problem from the estimation of robust probability of detection (RPOD) to maximize the detection of the pathology defined in terms of changes of shear stiffness. This study collects different options of design in two separated models, in transmission and contact, respectively. The main contribution of this work describes a framework to establish such as forward, inverse and optimization procedures to choose a set of appropriate parameters of a transducer. This methodological framework may be generalizable for other different applications. View Full-Text
Keywords: torsional ultrasound; probability of detection; soft tissue mechanics; finite element method; optimization; inverse problem torsional ultrasound; probability of detection; soft tissue mechanics; finite element method; optimization; inverse problem

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Melchor, J.; Muñoz, R.; Rus, G. Torsional Ultrasound Sensor Optimization for Soft Tissue Characterization. Sensors 2017, 17, 1402.

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