Presentation + Paper
1 April 2024 Waveform inversion with calibrated source-time functions for improving in-vivo ultrasound computed tomography
Ines E. Ulrich, Christian Boehm, Patrick Marty, Naiara Korta Martiartu, Berkan Lafci, Xose Luis Dean-Ben, Daniel Razansky, Andreas Fichtner
Author Affiliations +
Abstract
We present a full-waveform inversion (FWI) of an in-vivo data set acquired with a transmission-reflection optoacoustic ultrasound imaging platform containing a cross-sectional slice through a mouse. FWI is a high-resolution reconstruction method that provides quantitative images of tissue properties such as the speed of sound. As an iterative data-fitting procedure, FWI relies on the ability to accurately predict the physics of wave propagation in heterogeneous media to account for the non-linear relationship between the ultrasonic wavefield and the tissue properties. A key component to accurately predict the ultrasonic field numerically is a precise knowledge of the source characteristics. For realistic problems, however, the source-time function is generally unknown, which necessitates an auxiliary inversion that recovers the time series for each transducer. This study presents an updated sound speed reconstruction of a cross-section through a mouse using source wavelets that are inverted individually per transducer. These source wavelets have been estimated from a set of observed data by application of a source-wavelet correction filter, which is equivalent to a water-level deconvolution. Compared to previous results, the spatial resolution of anatomical features such as the vertebral column is increased whilst artefacts are suppressed.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ines E. Ulrich, Christian Boehm, Patrick Marty, Naiara Korta Martiartu, Berkan Lafci, Xose Luis Dean-Ben, Daniel Razansky, and Andreas Fichtner "Waveform inversion with calibrated source-time functions for improving in-vivo ultrasound computed tomography", Proc. SPIE 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography, 129320H (1 April 2024); https://doi.org/10.1117/12.3006768
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KEYWORDS
Wavelets

Calibration

Data modeling

Transducers

Tunable filters

Ultrasonography

In vivo imaging

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