DocumentCode
3118651
Title
Chirp-Coded Pulse Excitation for Ultrasound Elasticity Imaging
Author
Peng, Hui ; Liu, Dong C.
Author_Institution
Coll. of Comput. Sci., Sichuan Univ., Chengdu, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
We first designed two chirp-coded excitation/ compression schemes which were applied to ultrasound elasticity imaging in simulation method using Field II. The simulation results demonstrate that in low echo-signal-to-noise ratio (eSNR) conditions, the performance of chirp-coded pulse for elasticity imaging is much better than the conventional short pulse, and indicate that elastographic signal-to-noise ratio (SNRe) of strain images for chirp-coded pulse is a function of attenuation, electronic noise, applied strain, pulse length, compression filter and depth. Comparing the effects of two chirp-coded excitation/compression schemes on strain imaging, we demonstrate that under the conditions of low eSNR, the first scheme, the combination of chirp excitation pulse with window and matched compression filter, is suitable to be used in low attenuation situations, and the second scheme, the combination of chirp excitation pulse without window and mismatched compression filter, is fit to be used in high attenuation situations. Finally, we applied the second chirp-coded scheme to a real-time freehand ultrasound strain imaging system and phantom experimental results are consistent with that in simulation method.
Keywords
biomedical ultrasonics; chirp modulation; elasticity; filters; phantoms; ultrasonic imaging; applied strain; attenuation function; chirp excitation pulse; chirp-coded pulse excitation; compression depth; compression schemes; echo-signal-to-noise ratio conditions; elastographic signal-to-noise ratio; electronic noise; matched compression filter; phantom experimental results; pulse length; simulation method; strain images; ultrasound elasticity imaging; window compression filter; Attenuation; Capacitive sensors; Chirp; Elasticity; Image coding; Matched filters; Pulse compression methods; Signal design; Signal to noise ratio; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5516328
Filename
5516328
Link To Document