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Passive Acoustic Mapping with the Angular Spectrum Method

delete2017-04-01
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C
Costas Arvanitis *
C
Calum Crake
N
Nathan McDannold
G
Gregory T. Clement
DOI:10.1109/TMI.2016.2643565delete
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Abstract

Abstract

En 中文
In the present proof of principle study, we evaluated the homogenous angular spectrum method for passive acoustic mapping (AS-PAM) of microbubble oscillations using simulated and experimental data. In the simulated data we assessed the ability of AS-PAM to form 3D maps of a single and multiple point sources. Then, in the two dimensional limit, we compared the 2D maps from AS-PAM with alternative frequency and time domain passive acoustic mapping (FD-and TD-PAM) approaches. Finally, we assessed the ability of AS-PAM to visualize microbubble activity in vivo with data obtained during 8 different experiments of FUS-induced blood-brain barrier disruption in 3 nonhuman primates, using a clinical MRguided FUS system. Our in silico results demonstrate ASPAM can be used to perform 3D passive acoustic mapping. 2D AS-PAM as compared to FD-PAM and TD-PAM is 10 and 200 times faster respectively and has similar sensitivity, resolution, and localization accuracy, even when the noise was 10-fold higher than the signal. In-vivo, the AS-PAMreconstructions of emissions at frequency bands pertinent to the different types of microbubble oscillations were also found to be more sensitive than TD-PAM. AS-PAM of harmonic-only components predicted safe blood-brain barrier disruption, whereas AS-PAM of broadbandemissions correctly identifiedMR-evident tissue damage. The disparity (3.2 mm) in the location of the cavitation activity between the three methods was within their resolution limits. These data clearly demonstrate that ASPAMis a sensitiveand fast approachfor PAM, thus providing a clinically relevantmethod to guide therapeutic ultrasound procedures.
Keywords:
Acoustic cavitation
focused ultrasound
image guided therapy
passive acoustic mapping
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Journal

IEEE Transactions on Medical Imaging cover
IEEE Transactions on Medical Imaging
IF:
9.8
Papers:
6.2K
Citations:
3.7W

Organization

G
Georgia Institute of Technology
Scholars:
1.8W
Papers: 1.4W
Citations: 5.9W
H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
U
university system of georgia
Scholars:
7.3W
Papers: 6.6W
Citations: 101
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