Full-waveform inversion imaging of the human brain
| Autor: | Meng-Xing Tang, Michael Warner, Lluís Guasch, Parashkev Nachev, Oscar Calderon Agudo |
|---|---|
| Přispěvatelé: | Wellcome Trust |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Wave propagation
Computer applications to medicine. Medical informatics R858-859.7 Medicine (miscellaneous) Health Informatics Brain imaging 010502 geochemistry & geophysics lcsh:Computer applications to medicine. Medical informatics 01 natural sciences Article Head trauma 030218 nuclear medicine & medical imaging FREQUENCY-DOMAIN 03 medical and health sciences EMPIRICAL ULTRASONIC PROPERTIES LIMITS 0302 clinical medicine ATTENUATION Health Information Management Neuroimaging TOMOGRAPHY medicine SCATTERING Computer vision 0105 earth and related environmental sciences Ultrasonography Wavefront Science & Technology medicine.diagnostic_test business.industry Ultrasound Inversion (meteorology) Magnetic resonance imaging Human brain Acoustics Computer Science Applications Transcranial Doppler medicine.anatomical_structure Health Care Sciences & Services RESOLUTION Three-dimensional imaging lcsh:R858-859.7 Artificial intelligence Tomography COMPILATION business Life Sciences & Biomedicine 030217 neurology & neurosurgery Medical Informatics |
| Zdroj: | npj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020) NPJ Digital Medicine |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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