DocumentCode
1784273
Title
Simulation of automatic selection in multi-target medium using time reversal mirror
Author
Zhe-fan Peng ; Chang Su ; Wei-jun Lin
Author_Institution
Inst. of Acoust., Beijing, China
fYear
2014
fDate
Oct. 30 2014-Nov. 2 2014
Firstpage
415
Lastpage
418
Abstract
In high intensity focused ultrasound (HIFU) therapy, the focusing of acoustic waves in inhomogeneous media is a common and difficult problem to solve. The focusing can be strongly degraded by sound speed variation and density variation from geometrical distortion. The time reverse mirror is a solution to this problem when the target is a reflective one, even when the location of the target is unknown. The iterative time reversal mirror is also used to automatically select the strongest target in a multi-target medium. To simulate the acoustic fields of iterative time reversal mirror and evaluate its convergence, the FEM time-dependent model is used. Three cases of time reversal process in multi-target medium are presented. It is shown that in these three cases, the iterative time reversal process has the ability to focus on the strongest target. And the effectiveness of convergence is discussed in these three cases.
Keywords
biomedical ultrasonics; convergence of numerical methods; finite element analysis; inhomogeneous media; iterative methods; ultrasonic focusing; ultrasonic therapy; ultrasonic velocity; FEM time-dependent model; HIFU therapy; acoustic fields; acoustic wave focusing; automatic selection simulation; convergence; density variation; geometrical distortion; high intensity focused ultrasound therapy; inhomogeneous media; iterative time reversal mirror; multitarget medium; sound speed variation; Acoustic waves; Focusing; Mirrors; Nonhomogeneous media; Transmission line measurements; Ultrasonic imaging; Automatic selection; HIFU; Time reversal mirror;
fLanguage
English
Publisher
ieee
Conference_Titel
Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA), 2014 Symposium on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6424-6
Type
conf
DOI
10.1109/SPAWDA.2014.6998613
Filename
6998613
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