DocumentCode :
1962177
Title :
An Acoustic Radiation Force Impulse imaging SNR upper bound with numerical validation and 1.5D ARFI transducer design
Author :
Dhanaliwala, Ali H. ; Mauldin, F. William, Jr. ; Kilroy, Joseph P. ; Hossack, John A.
Author_Institution :
Univ. of Virginia, Charlottesville, VA, USA
fYear :
2010
fDate :
11-14 Oct. 2010
Firstpage :
1620
Lastpage :
1623
Abstract :
Acoustic Radiation Force Impulse (ARFI) imaging techniques have utility in a number of clinical applications, such as lesion detection or diagnosis of liver or prostate disease. In modern ultrasound systems possessing high electronic signal to noise (SNRε) levels, the major limiting factor in ARFI image signal to noise (SNRARF) performance is echo decorrelation arising from differential motion across the point spread function. In this paper, we present an analytical model for an upper bound on SNRARF beginning with previous work describing theoretical echo decorrelation and a lower bound on displacement estimation variance. Using information gained from this analysis, we propose a new optimized 1.5D ARFI transducer array design that increases the ratio of pushing to tracking beam widths, reduces echo decorrelation and increases SNRARF in comparison with conventional ID arrays currently used for ARFI imaging. The performance of the ID conventional and optimized 1.5D ARFI transducers are compared using a FIELD II and finite element model (FEM) numerical simulation framework. Our simulation framework confirms our analytical expression for an upper bound on SNRARF. Lesion images from our numerical simulations produce a 4.5dB contrast to noise (CNR) improvement with the proposed 1.5D ARFI array.
Keywords :
acoustic transducers; bioacoustics; biomedical ultrasonics; diseases; finite element analysis; liver; medical image processing; optical transfer function; ultrasonic imaging; ARFI transducer design; FEM; SNR upper bound; acoustic radiation force impulse imaging; differential motion; displacement estimation variance; echo decorrelation; finite element model; lesion detection; liver diagnosis; point spread function; prostate disease; ultrasound system; Acoustics; Analytical models; Arrays; Imaging; Numerical simulation; Signal to noise ratio; Transducers; 1.5D Array; Acoustic Radiation Force Impulse Imaging; Echo Decorrelation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium (IUS), 2010 IEEE
Conference_Location :
San Diego, CA
ISSN :
1948-5719
Print_ISBN :
978-1-4577-0382-9
Type :
conf
DOI :
10.1109/ULTSYM.2010.5935925
Filename :
5935925
Link To Document :
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