Imperial College London

Dr Chris Dunsby

Faculty of Natural SciencesDepartment of Physics

Reader in Biomedical Optics



+44 (0)20 7594 7755christopher.dunsby Website




622Blackett LaboratorySouth Kensington Campus






BibTex format

author = {Christensen-Jeffries, K and Brown, J and Harput, S and Zhang, G and Zhu, J and Tang, M-X and Dunsby, C and Eckersley, RJ},
doi = {10.1109/TUFFC.2019.2916603},
journal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},
pages = {1246--1254},
title = {Poisson statistical model of ultrasound super-resolution imaging acquisition time},
url = {},
volume = {66},
year = {2019}

RIS format (EndNote, RefMan)

AB - A number of acoustic super-resolution techniques have recently been developed to visualize microvascular structure and flow beyond the diffraction limit. A crucial aspect of all ultrasound (US) super-resolution (SR) methods using single microbubble localization is time-efficient detection of individual bubble signals. Due to the need for bubbles to circulate through the vasculature during acquisition, slow flows associated with the microcirculation limit the minimum acquisition time needed to obtain adequate spatial information. Here, a model is developed to investigate the combined effects of imaging parameters, bubble signal density, and vascular flow on SR image acquisition time. We find that the estimated minimum time needed for SR increases for slower blood velocities and greater resolution improvement. To improve SR from a resolution of λ/10 to λ/20 while imaging the microvasculature structure modeled here, the estimated minimum acquisition time increases by a factor of 14. The maximum useful imaging frame rate to provide new spatial information in each image is set by the bubble velocity at low blood flows (<;150 mm/s for a depth of 5 cm) and by the acoustic wave velocity at higher bubble velocities. Furthermore, the image acquisition procedure, transmit frequency, localization precision, and desired super-resolved image contrast together determine the optimal acquisition time achievable for fixed flow velocity. Exploring the effects of both system parameters and details of the target vasculature can allow a better choice of acquisition settings and provide improved understanding of the completeness of SR information.
AU - Christensen-Jeffries,K
AU - Brown,J
AU - Harput,S
AU - Zhang,G
AU - Zhu,J
AU - Tang,M-X
AU - Dunsby,C
AU - Eckersley,RJ
DO - 10.1109/TUFFC.2019.2916603
EP - 1254
PY - 2019///
SN - 0885-3010
SP - 1246
TI - Poisson statistical model of ultrasound super-resolution imaging acquisition time
T2 - IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
UR -
UR -
UR -
VL - 66
ER -