Localisation of multiple non-isolated microbubbles with frequency decomposition in super-resolution imaging

Sevan Harput; Kirsten Christensen-Jeffries; Jemma Brown; Robert J. Eckersley; Christopher Dunsby; Meng Xing Tang

doi:10.1109/ULTSYM.2017.8091727

Localisation of multiple non-isolated microbubbles with frequency decomposition in super-resolution imaging

Sevan Harput, Kirsten Christensen-Jeffries, Jemma Brown, Robert J. Eckersley, Christopher Dunsby, Meng Xing Tang

Imperial College London

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

1 Citation (Scopus)

Abstract

Sub-diffraction imaging, also known as super-resolution (SR) imaging, is a novel method that can overcome the fundamental diffraction limit by localizing spatially isolated microbubbles (MBs). A low concentration of MBs is required to achieve isolated signals in microvasculature, which is especially challenging in cancerous tissue due to high vessel density and slow flow. This study proposes a frequency decomposition method that uses the polydisperse nature of commercial MB contrast agents to separate spatially non-isolated MBs with different acoustic signatures.

Original language	English
Title of host publication	2017 IEEE International Ultrasonics Symposium, IUS 2017
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538633830
DOIs	https://doi.org/10.1109/ULTSYM.2017.8091727
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ULTSYM.2017.8091727

Cite this

@inbook{822e727d9c3a41ada65dc3ce6194ef63,

title = "Localisation of multiple non-isolated microbubbles with frequency decomposition in super-resolution imaging",

abstract = "Sub-diffraction imaging, also known as super-resolution (SR) imaging, is a novel method that can overcome the fundamental diffraction limit by localizing spatially isolated microbubbles (MBs). A low concentration of MBs is required to achieve isolated signals in microvasculature, which is especially challenging in cancerous tissue due to high vessel density and slow flow. This study proposes a frequency decomposition method that uses the polydisperse nature of commercial MB contrast agents to separate spatially non-isolated MBs with different acoustic signatures.",

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

year = "2017",

month = oct,

day = "31",

doi = "10.1109/ULTSYM.2017.8091727",

language = "English",

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

publisher = "IEEE Computer Society",

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

}

Harput, S, Christensen-Jeffries, K , Brown, J , Eckersley, RJ, Dunsby, C & Tang, MX 2017, Localisation of multiple non-isolated microbubbles with frequency decomposition in super-resolution imaging. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8091727, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 6/09/2017. https://doi.org/10.1109/ULTSYM.2017.8091727

TY - CHAP

T1 - Localisation of multiple non-isolated microbubbles with frequency decomposition in super-resolution imaging

AU - Harput, Sevan

AU - Christensen-Jeffries, Kirsten

AU - Brown, Jemma

AU - Eckersley, Robert J.

AU - Dunsby, Christopher

AU - Tang, Meng Xing

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Sub-diffraction imaging, also known as super-resolution (SR) imaging, is a novel method that can overcome the fundamental diffraction limit by localizing spatially isolated microbubbles (MBs). A low concentration of MBs is required to achieve isolated signals in microvasculature, which is especially challenging in cancerous tissue due to high vessel density and slow flow. This study proposes a frequency decomposition method that uses the polydisperse nature of commercial MB contrast agents to separate spatially non-isolated MBs with different acoustic signatures.

AB - Sub-diffraction imaging, also known as super-resolution (SR) imaging, is a novel method that can overcome the fundamental diffraction limit by localizing spatially isolated microbubbles (MBs). A low concentration of MBs is required to achieve isolated signals in microvasculature, which is especially challenging in cancerous tissue due to high vessel density and slow flow. This study proposes a frequency decomposition method that uses the polydisperse nature of commercial MB contrast agents to separate spatially non-isolated MBs with different acoustic signatures.

UR - http://www.scopus.com/inward/record.url?scp=85039413761&partnerID=8YFLogxK

U2 - 10.1109/ULTSYM.2017.8091727

DO - 10.1109/ULTSYM.2017.8091727

M3 - Conference paper

AN - SCOPUS:85039413761

BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017

PB - IEEE Computer Society

T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017

Y2 - 6 September 2017 through 9 September 2017

ER -

Localisation of multiple non-isolated microbubbles with frequency decomposition in super-resolution imaging

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this