Dataset for "Ultrasound Imaging Velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation"

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.

Keywords:
ultrasound, blood flow, atherosclerosis, haemodynamics, particle image velocimetry, echo-PIV
Subjects:

Cite this dataset as:
Fraser, K., Poelma, C., Zhou, Z., 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". University of Bath. 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)

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)

pulsepiv_interlaced_aorta.m
text/plain (17kB)

figure6.m
text/plain (17kB)

figure7E.m
text/plain (10kB)

figure10.m
text/plain (10kB)

figure4.m
text/plain (18kB)

figure5.m
text/plain (17kB)

figure7.m
text/plain (15kB)

figure3.m
text/plain (12kB)

flowRatePulse_f.m
text/plain (3kB)

flowRatePulseA_f.m
text/plain (3kB)

figure9.m
text/plain (8kB)

flowRatePulseA_f_reg.m
text/plain (3kB)

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)

pulsepiv_interlaced_aorta.m
text/plain (17kB)

figure6.m
text/plain (17kB)

figure7E.m
text/plain (10kB)

figure10.m
text/plain (10kB)

figure4.m
text/plain (18kB)

figure5.m
text/plain (17kB)

Thumbs.db
CDF (455kB)

figure7.m
text/plain (15kB)

figure3.m
text/plain (12kB)

flowRatePulse_f.m
text/plain (3kB)

Creators

Katharine Fraser
University of Bath

Christian Poelma
TU Delft

Zhou Zhou
Southeast University

Eleni Bazigou
Imperial College

Meng-Xing Tang
Imperial College

Peter Weinberg
Imperial College

Documentation

Documentation Files

README.txt
text/x-fortran (10kB)

Funders

Seventh Framework Programme (FP7)
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 (BHF)
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 articles

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 andin vivovalidation. Journal of The Royal Society Interface, 14(127), p.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

Departments:

Faculty of Engineering & Design
Mechanical Engineering