Imperial College London
Alternate

Professor MENGXING TANG

Faculty of Engineering, Department of Bioengineering

Professor of Biomedical Imaging
 
 
 
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Contact

 

+44 (0)20 7594 3664mengxing.tang Website

 
 
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Location

 

3.13Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Brown:2019:10.1109/TUFFC.2019.2894755,
author = {Brown, J and Christensen-Jeffries, K and Harput, S and Zhang, G and Zhu, J and Dunsby, C and Tang, M-X and Eckersley, RJ},
doi = {10.1109/TUFFC.2019.2894755},
journal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},
pages = {676--691},
title = {Investigation of microbubble detection methods for super-resolution imaging of microvasculature},
url = {http://dx.doi.org/10.1109/TUFFC.2019.2894755},
volume = {66},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Ultrasound super-resolution techniques use the response of microbubble contrast agents (MBs) to visualize the microvasculature. Techniques that localize isolated bubble signals first require detection algorithms to separate the MB and tissue responses. This work explores the three main MB detection techniques for super-resolution of microvasculature. Pulse inversion (PI), differential imaging (DI) and singular value decomposition (SVD) filtering were compared in terms of the localization accuracy, precision and contrast to tissue ratio (CTR). MB responses were simulated based on the properties of Sonovue™ and using the Marmottant model. Non-linear propagation through tissue was modelled using the k-Wave software package. For the parameters studied, the results show that PI is most appropriate for low frequency applications, but also most dependent on transducer bandwidth. SVD is preferable for high frequency acquisition where localization precision on the order of a few microns is possible. PI is largely independent of flow direction and speed compared to SVD and DI, so is appropriate for visualizing the slowest flows and tortuous vasculature. SVD is unsuitable for stationary MBs and can introduce a localization error on the order of hundreds of microns over the speed range 0- 2 mm/s and flow directions from lateral (parallel to probe) to axial (perpendicular to probe). DI is only suitable for flow rates > 0.5 mm/s or as flow becomes more axial. Overall, this study develops a MB and tissue non-linear simulation platform to improve understanding of how different MB detection techniques can impact the super-resolution process and explores some of the factors influencing the suitability of each.
AU  - Brown,J
AU  - Christensen-Jeffries,K
AU  - Harput,S
AU  - Zhang,G
AU  - Zhu,J
AU  - Dunsby,C
AU  - Tang,M-X
AU  - Eckersley,RJ
DO  - 10.1109/TUFFC.2019.2894755
EP  - 691
PY  - 2019///
SN  - 0885-3010
SP  - 676
TI  - Investigation of microbubble detection methods for super-resolution imaging of microvasculature
T2  - IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
UR  - http://dx.doi.org/10.1109/TUFFC.2019.2894755
UR  - https://www.ncbi.nlm.nih.gov/pubmed/30676955
UR  - http://hdl.handle.net/10044/1/69290
VL  - 66
ER  -
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