Acoustoelastic Full-Waveform Inversion for Transcranial Ultrasound Computed Tomography
| Autor: | Christian Boehm, Patrick Marty, Andreas Fichtner |
|---|---|
| Přispěvatelé: | Byram, Brett C., Ruiter, Nicole V. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Coupling
Computer science business.industry Acoustics Spectral element method Ultrasound Full-waveform inversion transcranial ultrasound ultrasound computed tomography acoustoelastic spectral-element method Physical system Wave equation Transcranial Doppler Polygon mesh Acoustic approximation business |
| Zdroj: | Proceedings of SPIE, 11602 Medical Imaging 2021: Ultrasonic Imaging and Tomography |
| ISSN: | 0277-786X |
| DOI: | 10.3929/ethz-b-000499222 |
| Popis: | Full-waveform inversion applied to ultrasound computed tomography is a promising technique to provide high-resolution quantitative images of soft human tissues, which are otherwise difficult to illuminate by conventional ultrasound imaging. A particular challenge which arises within transcranial ultrasound is the imprint of the solid skull on the measured wavefield. We present an acoustoelastic approach to full-waveform inversion for transcranial ultrasound computed tomography that accurately accounts for the solid-fluid interactions along the skull-tissue interfaces. Using the spectral-element method on cubical meshes, we obtain a scalable and performant method to resolve such a coupled physical system. Moreover, since the volume of the skull is small compared to the entire simulation domain, solving a coupled system of the acoustoelastic wave equation increases the computational cost only by a small margin compared to the acoustic approximation. We perform an in silico forward and inverse modeling study that reveals significant coupling effects at the skull-tissue interfaces when considering the skull as an elastic medium as opposed to an acoustic medium. Applying full-waveform inversion to a set of synthetically generated acoustoelastic forward data allows for favorable reconstructions to be achieved when considering an acoustoelastic prior model of the skull. Proceedings of SPIE, 11602 ISSN:0277-786X Medical Imaging 2021: Ultrasonic Imaging and Tomography ISBN:978-1-5106-4034-4 ISBN:978-1-5106-4033-7 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|