Microbubble localization errors in ultrasonic super-resolution imaging

Kirsten Christensen Jeffries; Sevan Harput; Jemma Brown; Christopher Dunsby; Paul Aljabar; Meng Xing Tang; Robert Eckersley

doi:10.1109/ULTSYM.2017.8091846

Microbubble localization errors in ultrasonic super-resolution imaging

Kirsten Christensen Jeffries, Sevan Harput, Jemma Brown, Christopher Dunsby, Paul Aljabar, Meng Xing Tang, Robert Eckersley

Imaging and Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

Abstract

Recently, acoustic super-resolution (SR) imaging has allowed visualization of microvascular structure and flow beyond the diffraction limit through the localization of many isolated microbubble signals. Each bubble position is typically estimated by calculating the centroid, finding a local maximum, or finding the peak of a 2-D Gaussian function fit. However, the backscattered signal from a microbubble depends not only on diffraction characteristics of the waveform, but also on the bubble behavior in the acoustic field, which if not accounted for, may cause localization errors.

Original language	English
Title of host publication	2017 IEEE International Ultrasonics Symposium, IUS 2017
Publisher	IEEE Computer Society Press
ISBN (Electronic)	9781538633830
DOIs	https://doi.org/10.1109/ULTSYM.2017.8091846
Publication status	Published - 31 Oct 2017
Event	2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States Duration: 6 Sept 2017 → 9 Sept 2017

Conference

Conference	2017 IEEE International Ultrasonics Symposium, IUS 2017
Country/Territory	United States
City	Washington
Period	6/09/2017 → 9/09/2017

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10.1109/ULTSYM.2017.8091846

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title = "Microbubble localization errors in ultrasonic super-resolution imaging",

abstract = "Recently, acoustic super-resolution (SR) imaging has allowed visualization of microvascular structure and flow beyond the diffraction limit through the localization of many isolated microbubble signals. Each bubble position is typically estimated by calculating the centroid, finding a local maximum, or finding the peak of a 2-D Gaussian function fit. However, the backscattered signal from a microbubble depends not only on diffraction characteristics of the waveform, but also on the bubble behavior in the acoustic field, which if not accounted for, may cause localization errors.",

author = "Jeffries, {Kirsten Christensen} and Sevan Harput and Jemma Brown and Christopher Dunsby and Paul Aljabar and Tang, {Meng Xing} and Robert Eckersley",

year = "2017",

month = oct,

day = "31",

doi = "10.1109/ULTSYM.2017.8091846",

language = "English",

booktitle = "2017 IEEE International Ultrasonics Symposium, IUS 2017",

publisher = "IEEE Computer Society Press",

note = "2017 IEEE International Ultrasonics Symposium, IUS 2017 ; Conference date: 06-09-2017 Through 09-09-2017",

}

Jeffries, KC, Harput, S, Brown, J, Dunsby, C, Aljabar, P, Tang, MX & Eckersley, R 2017, Microbubble localization errors in ultrasonic super-resolution imaging. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8091846, IEEE Computer Society Press, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 6/09/2017. https://doi.org/10.1109/ULTSYM.2017.8091846

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AU - Jeffries, Kirsten Christensen

AU - Harput, Sevan

AU - Brown, Jemma

AU - Dunsby, Christopher

AU - Aljabar, Paul

AU - Tang, Meng Xing

AU - Eckersley, Robert

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Recently, acoustic super-resolution (SR) imaging has allowed visualization of microvascular structure and flow beyond the diffraction limit through the localization of many isolated microbubble signals. Each bubble position is typically estimated by calculating the centroid, finding a local maximum, or finding the peak of a 2-D Gaussian function fit. However, the backscattered signal from a microbubble depends not only on diffraction characteristics of the waveform, but also on the bubble behavior in the acoustic field, which if not accounted for, may cause localization errors.

AB - Recently, acoustic super-resolution (SR) imaging has allowed visualization of microvascular structure and flow beyond the diffraction limit through the localization of many isolated microbubble signals. Each bubble position is typically estimated by calculating the centroid, finding a local maximum, or finding the peak of a 2-D Gaussian function fit. However, the backscattered signal from a microbubble depends not only on diffraction characteristics of the waveform, but also on the bubble behavior in the acoustic field, which if not accounted for, may cause localization errors.

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DO - 10.1109/ULTSYM.2017.8091846

M3 - Other chapter contribution

AN - SCOPUS:85039448797

BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017

PB - IEEE Computer Society Press

T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017

Y2 - 6 September 2017 through 9 September 2017

ER -

Microbubble localization errors in ultrasonic super-resolution imaging

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