Acoustoelastic full-waveform inversion for transcranial ultrasound computed tomography

Patrick Marty; Christian Boehm; Andreas Fichtner

doi:10.1117/12.2581029

15 February 2021 Acoustoelastic full-waveform inversion for transcranial ultrasound computed tomography

Patrick Marty, Christian Boehm, Andreas Fichtner

Author Affiliations +

Proceedings Volume 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography; 1160211 (2021) https://doi.org/10.1117/12.2581029
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Full-waveform inversion applied to ultrasound computed tomography is a promising technique to provide highresolution 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.

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Citation Download Citation

Patrick Marty, Christian Boehm, and Andreas Fichtner "Acoustoelastic full-waveform inversion for transcranial ultrasound computed tomography", Proc. SPIE 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography, 1160211 (15 February 2021); https://doi.org/10.1117/12.2581029

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