Full-waveform inversion imaging of the human brain

Abstract 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,...

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Autores principales:	Lluís Guasch, Oscar Calderón Agudo, Meng-Xing Tang, Parashkev Nachev, Michael Warner
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/4052ac207c5149eaa17d85e23e4b3ad5
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spelling	oai:doaj.org-article:4052ac207c5149eaa17d85e23e4b3ad52021-12-02T13:34:33ZFull-waveform inversion imaging of the human brain10.1038/s41746-020-0240-82398-6352https://doaj.org/article/4052ac207c5149eaa17d85e23e4b3ad52020-03-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0240-8https://doaj.org/toc/2398-6352Abstract 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.Lluís GuaschOscar Calderón AgudoMeng-Xing TangParashkev NachevMichael WarnerNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Lluís Guasch Oscar Calderón Agudo Meng-Xing Tang Parashkev Nachev Michael Warner Full-waveform inversion imaging of the human brain
description	Abstract 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.
format	article
author	Lluís Guasch Oscar Calderón Agudo Meng-Xing Tang Parashkev Nachev Michael Warner
author_facet	Lluís Guasch Oscar Calderón Agudo Meng-Xing Tang Parashkev Nachev Michael Warner
author_sort	Lluís Guasch
title	Full-waveform inversion imaging of the human brain
title_short	Full-waveform inversion imaging of the human brain
title_full	Full-waveform inversion imaging of the human brain
title_fullStr	Full-waveform inversion imaging of the human brain
title_full_unstemmed	Full-waveform inversion imaging of the human brain
title_sort	full-waveform inversion imaging of the human brain
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/4052ac207c5149eaa17d85e23e4b3ad5
work_keys_str_mv	AT lluisguasch fullwaveforminversionimagingofthehumanbrain AT oscarcalderonagudo fullwaveforminversionimagingofthehumanbrain AT mengxingtang fullwaveforminversionimagingofthehumanbrain AT parashkevnachev fullwaveforminversionimagingofthehumanbrain AT michaelwarner fullwaveforminversionimagingofthehumanbrain
_version_	1718392729540493312

Full-waveform inversion imaging of the human brain

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