The classification of breast lesions represents a main concern in current senology diagnostic practice. B-mode imaging plays a major role, but the specificity is still too low, since no information on tissue stiffness is directly provided. An original freehand elastography method, based on a Fourier domain displacement estimator, has been recently proposed and proved capable of producing off-line robust estimates of phantoms elasticity. In order to permit in-vivo examinations of breast lesions, a real-time version of the proposed method has been implemented in the research scanner ULA-OP, designed at the University of Florence. In a preliminary test on patients the proposed method detected 36 lesions (11 softer, 14 harder and 11 having the same elasticity than the surrounding tissue).The same lesions were classified as malignant (5) and benign (31) by an xperienced sonographer through B-mode analysis.

Real-time implementation of a novel algorithm for ultrasound freehand elastography of breast lesions / Alessandro Ramalli;Luca Bassi;Enrico Boni;Stefano Ricci;Elisabetta Giannotti;Dalmar Abdulcadir;Jacopo Nori;Piero Tortoli. - ELETTRONICO. - (2014), pp. 5158-5161. (Intervento presentato al convegno 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) tenutosi a Firenze nel 4-9 May 2014) [10.1109/ICASSP.2014.6854586].

Real-time implementation of a novel algorithm for ultrasound freehand elastography of breast lesions

RAMALLI, ALESSANDRO;BASSI, LUCA;BONI, ENRICO;RICCI, STEFANO;GIANNOTTI, ELISABETTA;ABDULCADIR, DALMAR;TORTOLI, PIERO
2014

Abstract

The classification of breast lesions represents a main concern in current senology diagnostic practice. B-mode imaging plays a major role, but the specificity is still too low, since no information on tissue stiffness is directly provided. An original freehand elastography method, based on a Fourier domain displacement estimator, has been recently proposed and proved capable of producing off-line robust estimates of phantoms elasticity. In order to permit in-vivo examinations of breast lesions, a real-time version of the proposed method has been implemented in the research scanner ULA-OP, designed at the University of Florence. In a preliminary test on patients the proposed method detected 36 lesions (11 softer, 14 harder and 11 having the same elasticity than the surrounding tissue).The same lesions were classified as malignant (5) and benign (31) by an xperienced sonographer through B-mode analysis.
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Firenze
4-9 May 2014
Alessandro Ramalli;Luca Bassi;Enrico Boni;Stefano Ricci;Elisabetta Giannotti;Dalmar Abdulcadir;Jacopo Nori;Piero Tortoli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/885118
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