@inproceedings{a9bae07548934d5cb08e5e841c818ab4,
title = "Full-waveform inversion with resolution proxies for in-vivo ultrasound computed tomography",
abstract = "We present an acoustic multi-stage full-waveform inversion (FWI) using in-vivo data of a mouse, acquired with transmission-reflection ultrasound. Our method (1) provides high-resolution images of the sound speed in soft tissue and bone, (2) significantly sharpens reflection images by using the reconstructed sound speed map as a background model, and (3) quantifies resolution lengths. The computational cost inherent to standard FWI is reduced by applying source encoding. We show that this multi-stage approach results in an aberration-corrected reflection image. The resolution lengths in the sound speed reconstruction are measured from the spread of a reconstructed point perturbation, which provides proxies for the spatial confidence levels and highlights areas where the resolution in the reflection image will benefit from the FWI background model.",
keywords = "Tomography, full-waveform, inverse problem, resolution analysis",
author = "Ulrich, {Ines Elisa} and Sebastian Noe and Christian Boehm and Martiartu, {Naiara Korta} and Berkan Lafci and Dean-Ben, {Xose Luis} and Daniel Razansky and Andreas Fichtner",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Ultrasonics Symposium, IUS 2023 ; Conference date: 03-09-2023 Through 08-09-2023",
year = "2023",
doi = "10.1109/IUS51837.2023.10308297",
language = "English",
series = "IEEE International Ultrasonics Symposium, IUS",
publisher = "IEEE Computer Society",
booktitle = "IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings",
}