Dataset for "Ultrasound Imaging Velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation"
Blood velocity measurements are important in physiological science and clinical diagnosis. Doppler ultrasound is the most commonly used method but can only measure one velocity component. Ultrasound imaging velocimetry (UIV) is a promising technique capable of measuring two velocity components; however, there is a limit on the maximum velocity that can be measured with conventional hardware which results from the way images are acquired by sweeping the ultrasound beam across the field of view. Interleaved UIV is an extension of UIV in which two image frames are acquired concurrently, allowing the effective inter-frame separation time to be reduced and therefore increasing the maximum velocity that can be measured. The sweeping of the ultrasound beam across the image results in a systematic error which must be corrected: in this work we derived and implemented a new velocity correction method which accounts for acceleration of the scatterers. We then, for the first time, assessed the performance of interleaved UIV for measuring pulsatile arterial velocities by measuring flows in phantoms and in vivo and comparing the results with spectral Doppler ultrasound and transit-time flow probe data. The velocity and flow rate in the phantom agreed within 5-10 % of peak velocity, and 2-9% of peak flow, respectively and in vivo the velocity difference was 9 % of peak velocity. The maximum velocity measured was 1.8 m/s, the highest velocity reported with UIV. This will allow flows in diseased arteries to be investigated and so has the potential to increase diagnostic accuracy and enable new vascular research.
Cite this dataset as:
Fraser, K.,
Poelma, C.,
Zhou, B.,
Bazigou, E.,
Tang, M.,
Weinberg, P.,
2016.
Dataset for "Ultrasound Imaging Velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00318.
Export
Data
a.zip
application/zip (9GB)
b.zip
application/zip (12GB)
c.zip
application/zip (11GB)
d.zip
application/zip (11GB)
in_vivo.zip
application/zip (771MB)
e.zip
application/zip (16GB)
Code
code.zip
application/zip (447kB)
flowRatePulseA_f.m
text/plain (3kB)
figure9.m
text/plain (8kB)
flowRatePulseA_f_reg.m
text/plain (3kB)
pulsepiv_interlaced_phantom_f.m
text/plain (17kB)
readTexoRF.m
text/plain (1kB)
womer_Vmean.m
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pulsepiv1_phantom_f.m
text/plain (12kB)
pulsepiv1_interlaced_aorta.m
text/plain (12kB)
quiverc4ePIV.m
text/plain (5kB)
runscript.m
text/plain (11kB)
rectROI.m
text/plain (593B)
pulsepiv_phantom_f.m
text/plain (17kB)
figure8.m
text/plain (7kB)
pulsePIVScaleAndCorrect_f2.m
text/plain (3kB)
pulsepiv_interlaced_aorta.m
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figure6.m
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figure7E.m
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figure10.m
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pulsePIVScaleAn … noacceleration.m
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figure4.m
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figure5.m
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pulsePIVScaleAn … justscale.m
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figure7.m
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pulsepiv1_interlaced_phantom_f.m
text/plain (12kB)
figure3.m
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flowRatePulse_f.m
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flowRatePulseA_f.m
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figure9.m
text/plain (8kB)
flowRatePulseA_f_reg.m
text/plain (3kB)
pulsepiv_interlaced_phantom_f.m
text/plain (17kB)
readTexoRF.m
text/plain (1kB)
womer_Vmean.m
text/plain (2kB)
pulsepiv1_phantom_f.m
text/plain (12kB)
pulsepiv1_interlaced_aorta.m
text/plain (12kB)
quiverc4ePIV.m
text/plain (5kB)
runscript.m
text/plain (11kB)
rectROI.m
text/plain (593B)
pulsepiv_phantom_f.m
text/plain (17kB)
figure8.m
text/plain (7kB)
pulsePIVScaleAndCorrect_f2.m
text/plain (3kB)
pulsepiv_interlaced_aorta.m
text/plain (17kB)
figure6.m
text/plain (17kB)
figure7E.m
text/plain (10kB)
figure10.m
text/plain (10kB)
pulsePIVScaleAn … noacceleration.m
text/plain (1kB)
figure4.m
text/plain (18kB)
figure5.m
text/plain (17kB)
pulsePIVScaleAn … justscale.m
text/plain (1kB)
Thumbs.db
CDF (455kB)
figure7.m
text/plain (15kB)
pulsepiv1_interlaced_phantom_f.m
text/plain (12kB)
figure3.m
text/plain (12kB)
flowRatePulse_f.m
text/plain (3kB)
Creators
Katharine Fraser
University of Bath
Christian Poelma
Delft University of Technology
Bin Zhou
Southeast University
Eleni Bazigou
Imperial College London
Meng-Xing Tang
Imperial College London
Peter Weinberg
Imperial College London
Contributors
University of Bath
Rights Holder
Documentation
Methodology link:
Fraser, K. H., Poelma, C., Zhou, B., Bazigou, E., Tang, M.-X., and Weinberg, P. D., 2017. Ultrasound imaging velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation. Journal of The Royal Society Interface, 14(127), 20160761. Available from: https://doi.org/10.1098/rsif.2016.0761.
Documentation Files
README.txt
text/x-fortran (10kB)
Funders
Seventh Framework Programme
https://doi.org/10.13039/501100004963
Correlation Between Numerical Estimation of In Vivo Local Sphingosine-1-Phosphate Concentration and Endothelial Permeability
274522
British Heart Foundation
https://doi.org/10.13039/501100000274
Identifying critical mechanisms in the initiation of atherosclerosis
RG/11/5/28743
Publication details
Publication date: 2016
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00318
URL for this record: https://researchdata.bath.ac.uk/id/eprint/318
Related papers and books
Fraser, K. H., Poelma, C., Zhou, B., Bazigou, E., Tang, M.-X., and Weinberg, P. D., 2017. Ultrasound imaging velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation. Journal of The Royal Society Interface, 14(127), 20160761. Available from: https://doi.org/10.1098/rsif.2016.0761.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Katharine Fraser
Faculty of Engineering & Design
Mechanical Engineering
