TY - JOUR
T1 - Time-Resolved Passive Cavitation Mapping Using the Transient Angular Spectrum Approach
AU - Li, Mucong
AU - Gu, Juanjuan
AU - Vu, Tri
AU - Sankin, Georgy
AU - Zhong, Pei
AU - Yao, Junjie
AU - Jing, Yun
N1 - Funding Information:
Manuscript received November 23, 2020; accepted February 22, 2021. Date of publication February 26, 2021; date of current version June 29, 2021. This work was supported in part by the National Institute of Health under Grant R01EB025205, Grant R01EB028143, Grant R01NS111039, Grant RF1NS115581, Grant R21 EB027304, Grant R43 CA243822, Grant R43 CA239830, Grant R44 HL138185, Grant R37DK052985, and Grant P20DK123970; in part by the Duke Institute of Brain Science Incubator Award; and in part by the American Heart Association Collaborative Sciences Award under Grant 18CSA34080277. (Corresponding authors: Junjie Yao; Yun Jing.) Mucong Li, Tri Vu, and Junjie Yao are with the Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA (e-mail: junjie.yao. . e.edu).
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - Passive cavitation mapping (PCM), which generates images using bubble acoustic emission signals, has been increasingly used for monitoring and guiding focused ultrasound surgery (FUS). PCM can be used as an adjunct to magnetic resonance imaging to provide crucial information on the safety and efficacy of FUS. The most widely used algorithm for PCM is delay-and-sum (DAS). One of the major limitations of DAS is its suboptimal computational efficiency. Although frequency-domain DAS can partially resolve this issue, such an algorithm is not suitable for imaging the evolution of bubble activity in real time and for cases in which cavitation events occur asynchronously. This study investigates a transient angular spectrum (AS) approach for PCM. The working principle of this approach is to backpropagate the received signal to the domain of interest and reconstruct the spatial-temporal wavefield encoded with the bubble location and collapse time. The transient AS approach is validated using an in silico model and water bath experiments. It is found that the transient AS approach yields similar results to DAS, but it is one order of magnitude faster. The results obtained by this study suggest that the transient AS approach is promising for fast and accurate PCM.
AB - Passive cavitation mapping (PCM), which generates images using bubble acoustic emission signals, has been increasingly used for monitoring and guiding focused ultrasound surgery (FUS). PCM can be used as an adjunct to magnetic resonance imaging to provide crucial information on the safety and efficacy of FUS. The most widely used algorithm for PCM is delay-and-sum (DAS). One of the major limitations of DAS is its suboptimal computational efficiency. Although frequency-domain DAS can partially resolve this issue, such an algorithm is not suitable for imaging the evolution of bubble activity in real time and for cases in which cavitation events occur asynchronously. This study investigates a transient angular spectrum (AS) approach for PCM. The working principle of this approach is to backpropagate the received signal to the domain of interest and reconstruct the spatial-temporal wavefield encoded with the bubble location and collapse time. The transient AS approach is validated using an in silico model and water bath experiments. It is found that the transient AS approach yields similar results to DAS, but it is one order of magnitude faster. The results obtained by this study suggest that the transient AS approach is promising for fast and accurate PCM.
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U2 - 10.1109/TUFFC.2021.3062357
DO - 10.1109/TUFFC.2021.3062357
M3 - Article
C2 - 33635787
AN - SCOPUS:85101799544
SN - 0885-3010
VL - 68
SP - 2361
EP - 2369
JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
IS - 7
M1 - 9363926
ER -