Imperial College London
Portrait Picture

ProfessorMikeWarner

Faculty of Engineering, Department of Earth Science & Engineering

Professor
 
 
 
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Contact

 

+44 (0)20 7594 6535m.warner

 
 
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Assistant

 

Ms Daphne Salazar +44 (0)20 7594 7401

 
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Location

 

RSM 1.46CRoyal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Guasch:2020:10.1038/s41746-020-0240-8,
author = {Guasch, L and Calderon, Agudo O and Tang, M-X and Nachev, P and Warner, M},
doi = {10.1038/s41746-020-0240-8},
journal = {npj Digital Medicine},
pages = {1--12},
title = {Full-waveform inversion imaging of the human brain},
url = {http://dx.doi.org/10.1038/s41746-020-0240-8},
volume = {3},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Magnetic resonance imaging and X-ray computed tomography provide the two principal methods available for imaging the brain at high spatial resolution, but these methods are not easily portable and cannot be applied safely to all patients. Ultrasound imaging is portable and universally safe, but existing modalities cannot image usefully inside the adult human skull. We use in silico simulations to demonstrate that full-waveform inversion, a computational technique originally developed in geophysics, is able to generate accurate three-dimensional images of the brain with sub-millimetre resolution. This approach overcomes the familiar problems of conventional ultrasound neuroimaging by using the following: transcranial ultrasound that is not obscured by strong reflections from the skull, low frequencies that are readily transmitted with good signal-to-noise ratio, an accurate wave equation that properly accounts for the physics of wave propagation, and adaptive waveform inversion that is able to create an accurate model of the skull that then compensates properly for wavefront distortion. Laboratory ultrasound data, using ex vivo human skulls and in vivo transcranial signals, demonstrate that our computational experiments mimic the penetration and signal-to-noise ratios expected in clinical applications. This form of non-invasive neuroimaging has the potential for the rapid diagnosis of stroke and head trauma, and for the provision of routine monitoring of a wide range of neurological conditions.
AU  - Guasch,L
AU  - Calderon,Agudo O
AU  - Tang,M-X
AU  - Nachev,P
AU  - Warner,M
DO  - 10.1038/s41746-020-0240-8
EP  - 12
PY  - 2020///
SN  - 2398-6352
SP  - 1
TI  - Full-waveform inversion imaging of the human brain
T2  - npj Digital Medicine
UR  - http://dx.doi.org/10.1038/s41746-020-0240-8
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000519040400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.nature.com/articles/s41746-020-0240-8
UR  - http://hdl.handle.net/10044/1/93148
VL  - 3
ER  -
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