DocumentCode :
1361055
Title :
Computational models of distributed aberration in ultrasound breast imaging
Author :
Shen, Yi-Ting ; Daoud, Mohammad I. ; Lacefield, James C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
Volume :
57
Issue :
12
fYear :
2010
fDate :
12/1/2010 12:00:00 AM
Firstpage :
2627
Lastpage :
2636
Abstract :
Two methods for simulation of ultrasound wavefront distortion are introduced and compared with aberration produced in simulations using digitized breast tissue specimens and a conventional multiple time-shift screen model. In the first method, aberrators are generated using a computational model of breast anatomy. In the second method, 10 to 12 irregularly shaped, strongly scattering inclusions are superimposed on the multiple-screen model to create a screen-inclusion model. Linear 2-D propagation of a 7.5-MHz planar, pulsed wavefront through each aberrator is computed using a first-order k-space method. The anatomical and screen-inclusion models reproduce two characteristics of arrival-time fluctuations observed in simulations using the digitized specimens that are not represented in simulations using the multiple-screen model: non-Gaussian first-order statistics and sharp changes in the rms arrival-time fluctuation as a function of propagation distance. The anatomical and screen-inclusion models both produce energy- level fluctuations similar to the digitized specimens, but the anatomical model more closely matches the pulse-shape distortion produced by the specimens. Both aberration models can readily be extended to 3-D, and the screen-inclusion model has the advantage of simplicity of implementation. Both models should enable more rigorous evaluation of adaptive focusing algorithms than is possible using conventional time-shift screen models.
Keywords :
aberrations; biological organs; biological tissues; biomedical ultrasonics; gynaecology; physiological models; statistical analysis; ultrasonic imaging; breast anatomy; digitized breast tissue specimens; distributed aberration; first-order k-space method; frequency 7.5 MHz; linear 2D propagation; multiple time-shift screen model; multiple-screen model; non-Gaussian first-order statistics; screen-inclusion model; ultrasound breast imaging; ultrasound wavefront distortion; Acoustics; Adaptation model; Biomedical image processing; Breast tissue; Computational modeling; Fluctuations; Ultrasonic imaging; Algorithms; Analysis of Variance; Breast; Computer Simulation; Female; Humans; Image Processing, Computer-Assisted; Models, Anatomic; Models, Biological; Statistics, Nonparametric; Ultrasonography, Mammary;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/TUFFC.2010.1737
Filename :
5610549
Link To Document :
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