Title :
P4B-3 Displacement Estimation Using a Slant Correlation Coefficient Filter for Large Strains
Author :
Huang, Lingyun ; O´Donnell, Matthew
Author_Institution :
Univ. of Washington, Seattle
Abstract :
In myocardial strain imaging at frame rates less than 100 Hz, large peak systolic strains can cause significant peak hopping. To reduce this effect, slant spatial filtering of correlation coefficients was applied. This method was implemented based on the spatial distribution of the correlation coefficients. Simulations using RF signals generated with large strains from 7% to 10% were implemented to verify the algorithm. Results show that peak hopping was eliminated for strains up to 8%, strongly suggesting that peak hopping can be greatly reduced using a slant correlation filter.
Keywords :
acoustic filters; acoustic signal processing; biomedical ultrasonics; cardiology; motion estimation; displacement estimation; myocardial strain imaging; slant correlation coefficient filter; systolic strains; Biomedical engineering; Capacitive sensors; Filtering; Filters; Myocardium; Radio frequency; Signal generators; Spatial resolution; Speckle; Testing;
Conference_Titel :
Ultrasonics Symposium, 2007. IEEE
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-1384-3
Electronic_ISBN :
1051-0117
DOI :
10.1109/ULTSYM.2007.492