Altmetric

Poisson statistical model of ultrasound super-resolution imaging acquisition time

File Description SizeFormat 
clean_file_for_Xplore_Poisson.pdfAccepted version769.75 kBAdobe PDFView/Open
Title: Poisson statistical model of ultrasound super-resolution imaging acquisition time
Authors: Christensen-Jeffries, K
Brown, J
Harput, S
Zhang, G
Zhu, J
Tang, M-X
Dunsby, C
Eckersley, RJ
Item Type: Journal Article
Abstract: 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.
Issue Date: 1-Jul-2019
Date of Acceptance: 29-Apr-2019
URI: http://hdl.handle.net/10044/1/73581
DOI: 10.1109/TUFFC.2019.2916603
ISSN: 0885-3010
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 1246
End Page: 1254
Journal / Book Title: IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
Volume: 66
Issue: 7
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/N015487/1
Keywords: Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
Biomedical imaging
microbubbles
microvasculature
Poisson statistics
resolution
ultrasonic imaging
ultrasound (US)
PERIPHERAL ARTERIAL-DISEASE
TUMOR ANGIOGENESIS
QUANTIFICATION
MICROBUBBLES
FLOW
Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
Biomedical imaging
microbubbles
microvasculature
Poisson statistics
resolution
ultrasonic imaging
ultrasound (US)
PERIPHERAL ARTERIAL-DISEASE
TUMOR ANGIOGENESIS
QUANTIFICATION
MICROBUBBLES
FLOW
02 Physical Sciences
09 Engineering
Acoustics
Publication Status: Published
Online Publication Date: 2019-05-17
Appears in Collections:Physics
Bioengineering
Photonics
Faculty of Natural Sciences



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons