Bücking, TM;
van den Berg, PJ;
Balabani, S;
Steenbergen, W;
Beard, PC;
Brunker, J;
(2018)
Processing methods for photoacoustic Doppler flowmetry with a clinical ultrasound scanner.
Journal of Biomedical Optics
, 23
(2)
, Article 026009. 10.1117/1.JBO.23.2.026009.
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Abstract
Photoacoustic flowmetry (PAF) based on time-domain cross correlation of photoacoustic signals is a promising technique for deep tissue measurement of blood flow velocity. Signal processing has previously been developed for single element transducers. Here, the processing methods for acoustic resolution PAF using a clinical ultrasound transducer array are developed and validated using a 64-element transducer array with a -6 dB detection band of 11 to 17 MHz. Measurements were performed on a flow phantom consisting of a tube (580 μm inner diameter) perfused with human blood flowing at physiological speeds ranging from 3 to 25 mm / s. The processing pipeline comprised: image reconstruction, filtering, displacement detection, and masking. High-pass filtering and background subtraction were found to be key preprocessing steps to enable accurate flow velocity estimates, which were calculated using a cross-correlation based method. In addition, the regions of interest in the calculated velocity maps were defined using a masking approach based on the amplitude of the cross-correlation functions. These developments enabled blood flow measurements using a transducer array, bringing PAF one step closer to clinical applicability.
Type: | Article |
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Title: | Processing methods for photoacoustic Doppler flowmetry with a clinical ultrasound scanner |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1117/1.JBO.23.2.026009 |
Publisher version: | https://doi.org/10.1117/1.JBO.23.2.026009 |
Language: | English |
Additional information: | Copyright © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License (https://creativecommons.org/licenses/by/3.0/). Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
Keywords: | flowmetry; blood flow; photoacoustic Doppler effect; cross correlation; transducer array; image processing; masking |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10046547 |
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