Imperial College London
Alternate

Miss Katherine J Williams

Faculty of Medicine, Department of Surgery & Cancer

Honorary Clinical Research Fellow
 
 
 
//

Contact

 

+44 (0)20 3311 7335k.williams Website

 
 
//

Location

 

4N13CNorth WingCharing Cross Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Harput:2018:10.1109/TUFFC.2018.2824846,
author = {Harput, S and Christensen-Jeffries, K and Brown, J and Yuanwei, L and Williams, KJ and Davies, AH and Eckersley, R and Dunsby, CW and Tang, M},
doi = {10.1109/TUFFC.2018.2824846},
journal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},
pages = {803--814},
title = {Two-stage motion correction for super-resolution ultrasound imaging in human lower limb},
url = {http://dx.doi.org/10.1109/TUFFC.2018.2824846},
volume = {65},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The structure of microvasculature cannot be resolved using conventional ultrasound imaging due to the fundamental diffraction limit at clinical ultrasound frequencies. It is possible to overcome this resolution limitation by localizing individual microbubbles through multiple frames and forming a super-resolved image, which usually requires seconds to minutes of acquisition. Over this time interval, motion is inevitable and tissue movement is typically a combination of large and small scale tissue translation and deformation. Therefore, super-resolution imaging is prone to motion artefacts as other imaging modalities based on multiple acquisitions are. This study investigates the feasibility of a two-stage motion estimation method, which is a combination of affine and non-rigid estimation, for super-resolution ultrasound imaging. Firstly, the motion correction accuracy of the proposed method is evaluated using simulations with increasing complexity of motion. A mean absolute error of 12.2 μm was achieved in simulations for the worst case scenario. The motion correction algorithm was then applied to a clinical dataset to demonstrate its potential to enable in vivo super-resolution ultrasound imaging in the presence of patient motion. The size of the identified microvessels from the clinical super-resolution images were measured to assess the feasibility of the two-stage motion correction method, which reduced the width of the motion blurred microvessels approximately 1.5-fold.
AU  - Harput,S
AU  - Christensen-Jeffries,K
AU  - Brown,J
AU  - Yuanwei,L
AU  - Williams,KJ
AU  - Davies,AH
AU  - Eckersley,R
AU  - Dunsby,CW
AU  - Tang,M
DO  - 10.1109/TUFFC.2018.2824846
EP  - 814
PY  - 2018///
SN  - 0885-3010
SP  - 803
TI  - Two-stage motion correction for super-resolution ultrasound imaging in human lower limb
T2  - IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
UR  - http://dx.doi.org/10.1109/TUFFC.2018.2824846
UR  - http://hdl.handle.net/10044/1/58666
VL  - 65
ER  -
Download