Paper Info
Title
Real-time implementation of a novel algorithm for ultrasound freehand elastography of breast lesions
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 experienced sonographer through B-mode analysis.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854586
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
Fourier transforms,biomedical ultrasonics,cancer,image classification,medical image processing,phantoms,B-mode imaging,Fourier domain displacement estimator,breast lesion classification,breast lesion in-vivo examination,phantom elasticity,senology diagnostic,tissue stiffness,ultrasound freehand elastography,Displacement estimation,Fourier domain,Free-hand elastography,Quasi-static elastography,real-time
Computer vision,Pattern recognition,Stiffness,Computer science,Artificial intelligence,Scanner,Elasticity (economics),Elastography,Sonographer,Ultrasound,Estimator
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Alessandro Ramalli1155.12
Bassi, L.201.01
E. Boni332.56
S. Ricci469.08