Imperial College London

DrPeterHuthwaite

Faculty of EngineeringDepartment of Mechanical Engineering

Lecturer
 
 
 
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Contact

 

p.huthwaite Website

 
 
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Location

 

568City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shi:2018:10.1109/TUFFC.2018.2828644,
author = {Shi, F and Huthwaite, P},
doi = {10.1109/TUFFC.2018.2828644},
journal = {IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
title = {Ultrasonic wave-speed diffraction tomography with undersampled data using virtual transducers},
url = {http://dx.doi.org/10.1109/TUFFC.2018.2828644},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - IEEE Ultrasonic diffraction tomography (DT) offers a way to achieve high-resolution imaging of the wavespeed map, and hence has strong potential applications in medical diagnosis and Nondestructive evaluation (NDE). Ideal images can be obtained with a complete array of sensors surrounding the scatterer, provided that the measurement data are fully sampled in space, obeying the Nyquist criterion. Spatial undersampling causes the image to be distorted and introduce unwanted circular artefacts. In this paper we propose an iteration approach using virtual transducers to achieve high-resolution tomographic imaging with undersampled measurements. At each iteration stage, the extent constraint estimated from the shape of the object of interest is applied on the image space to obtain a regularized image, based on which the ultrasonic measurement data at virtual transducers are calculated using a forward model. The full dataset composed of original and virtual measurements is then used for tomography in the next stage. A final image with sufficiently high resolution is obtained after only a few iterations. The new imaging method yields improvements in the robustness and accuracy of ultrasonic tomography with undersampled data.We present numerical results using complicated wavespeed maps from realistic corrosion profiles. In addition, an experiment using guided ultrasonic waves is performed to further evaluate the imaging method.
AU - Shi,F
AU - Huthwaite,P
DO - 10.1109/TUFFC.2018.2828644
PY - 2018///
SN - 0885-3010
TI - Ultrasonic wave-speed diffraction tomography with undersampled data using virtual transducers
T2 - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
UR - http://dx.doi.org/10.1109/TUFFC.2018.2828644
UR - http://hdl.handle.net/10044/1/59961
ER -