Acoustic resolution photoacoustic Doppler flowmetry using a transducer array: Optimising processing for velocity contrast

T. M. Bücking, P. J. Van Den Berg, S. Balabani, W. Steenbergen, P. C. Beard, J. Brunker

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

This work demonstrates the first measurements of blood flow velocity using photoacoustic flowmetry (PAF) employing a transducer array. The measurements were made in a flow phantom consisting of a tube (580 μm inner diameter) containing blood flowing steadily at physiological speeds ranging from 3 mm/s to 25 mm/s. Velocity measurements were based on the generation of two successive photoacoustic (PA) signals using two laser pulses with a wavelength of 1064 nm; the PA signals were detected using a 64-element transducer array with a -6 dB detection bandwidth of 11-17 MHz. We developed a processing pipeline to optimise a cross-correlation based velocity measurement method comprising the following processing steps: image reconstruction, filtering, displacement detection, and masking. We found no difference in flow detection accuracy when choosing different image reconstruction algorithms (time reversal, Fourier transformation, and delay-and-sum). High-pass filtering and wallfiltering were however found to be essential pre-processing steps in order to recover the correct displacement information. We masked the calculated velocity map based on the amplitude of the cross-correlation function in order to define the region of interest corresponding to highest signal amplitude. These developments enabled blood flow measurements using a transducer array, bringing PAF one step closer to clinical applicability.

Original languageEnglish
Title of host publicationPhotons Plus Ultrasound: Imaging and Sensing 2017
PublisherSPIE
Volume10064
ISBN (Electronic)9781510605695
DOIs
Publication statusPublished - 23 Mar 2017

Fingerprint

Array processing
Photoacoustic effect
Rheology
Transducers
Acoustics
transducers
Computer-Assisted Image Processing
blood flow
image reconstruction
velocity measurement
cross correlation
Blood
acoustics
Image reconstruction
Velocity measurement
Blood Flow Velocity
Processing
Fourier transformation
flow measurement
preprocessing

Keywords

  • Blood flow
  • Cross-correlation
  • Doppler
  • Flowmetry
  • Image processing
  • Masking
  • Optoacoustic
  • Photoacoustic
  • Transducer array

Cite this

Bücking, T. M., Van Den Berg, P. J., Balabani, S., Steenbergen, W., Beard, P. C., & Brunker, J. (2017). Acoustic resolution photoacoustic Doppler flowmetry using a transducer array: Optimising processing for velocity contrast. In Photons Plus Ultrasound: Imaging and Sensing 2017 (Vol. 10064). [100642M] SPIE. https://doi.org/10.1117/12.2252939
Bücking, T. M. ; Van Den Berg, P. J. ; Balabani, S. ; Steenbergen, W. ; Beard, P. C. ; Brunker, J. / Acoustic resolution photoacoustic Doppler flowmetry using a transducer array : Optimising processing for velocity contrast. Photons Plus Ultrasound: Imaging and Sensing 2017. Vol. 10064 SPIE, 2017.
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Bücking, TM, Van Den Berg, PJ, Balabani, S, Steenbergen, W, Beard, PC & Brunker, J 2017, Acoustic resolution photoacoustic Doppler flowmetry using a transducer array: Optimising processing for velocity contrast. in Photons Plus Ultrasound: Imaging and Sensing 2017. vol. 10064, 100642M, SPIE. https://doi.org/10.1117/12.2252939

Acoustic resolution photoacoustic Doppler flowmetry using a transducer array : Optimising processing for velocity contrast. / Bücking, T. M.; Van Den Berg, P. J.; Balabani, S.; Steenbergen, W.; Beard, P. C.; Brunker, J.

Photons Plus Ultrasound: Imaging and Sensing 2017. Vol. 10064 SPIE, 2017. 100642M.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - This work demonstrates the first measurements of blood flow velocity using photoacoustic flowmetry (PAF) employing a transducer array. The measurements were made in a flow phantom consisting of a tube (580 μm inner diameter) containing blood flowing steadily at physiological speeds ranging from 3 mm/s to 25 mm/s. Velocity measurements were based on the generation of two successive photoacoustic (PA) signals using two laser pulses with a wavelength of 1064 nm; the PA signals were detected using a 64-element transducer array with a -6 dB detection bandwidth of 11-17 MHz. We developed a processing pipeline to optimise a cross-correlation based velocity measurement method comprising the following processing steps: image reconstruction, filtering, displacement detection, and masking. We found no difference in flow detection accuracy when choosing different image reconstruction algorithms (time reversal, Fourier transformation, and delay-and-sum). High-pass filtering and wallfiltering were however found to be essential pre-processing steps in order to recover the correct displacement information. We masked the calculated velocity map based on the amplitude of the cross-correlation function in order to define the region of interest corresponding to highest signal amplitude. These developments enabled blood flow measurements using a transducer array, bringing PAF one step closer to clinical applicability.

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Bücking TM, Van Den Berg PJ, Balabani S, Steenbergen W, Beard PC, Brunker J. Acoustic resolution photoacoustic Doppler flowmetry using a transducer array: Optimising processing for velocity contrast. In Photons Plus Ultrasound: Imaging and Sensing 2017. Vol. 10064. SPIE. 2017. 100642M https://doi.org/10.1117/12.2252939