DocumentCode :
33949
Title :
TR-MUSIC inversion of the density and compressibility contrasts of point scatterers
Author :
Labyed, Y. ; Lianjie Huang
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM, USA
Volume :
61
Issue :
1
fYear :
2014
fDate :
Jan-14
Firstpage :
16
Lastpage :
24
Abstract :
Time-reversal imaging with multiple signal classification (TR-MUSIC) is a super-resolution ultrasound imaging method for detecting point scatterers. This algorithm assumes that there is no contrast between the density of the point targets and that of the background medium, and that ultrasound scattering is caused only by the compressibility contrast. We modify the TR-MUSIC algorithm to account for ultrasound scattering from point targets with both density and compressibility contrasts. In addition, we develop an inversion method for estimating the density and compressibility contrasts of point scatterers with known locations. This approach is an extension of the inversion method previously developed by Devaney et al. for estimating the scattering strengths of point targets that have no density contrasts relative to the background medium. We use numerical phantom data to demonstrate that our new TR-MUSIC inversion algorithm can reliably estimate the density and compressibility contrasts of point scatterers. The estimates of these properties could be used for distinguishing breast calcifications from other tissue scatterers.
Keywords :
density; ultrasonic imaging; ultrasonic scattering; TR-MUSIC inversion; breast calcifications; compressibility contrast; density contrast; multiple signal classification; point scatterer detection; superresolution ultrasound imaging; time reversal imaging; tissue scatterers; ultrasound scattering; Imaging; Matrix decomposition; Noise; Scattering; Transducers; Ultrasonic imaging; Vectors;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/TUFFC.2014.6689772
Filename :
6689772
Link To Document :
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