Estimating Mean Speed-of-Sound from Sequence-Dependent Geometric Disparities


Date

2021

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

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Data

Abstract

In ultrasound beamforming, focusing time delays are typically computed with a spatially constant speed-of-sound (SoS) assumption. A mismatch between beamforming and true medium SoS then leads to aberration artifacts. Other imaging techniques such as spatially-resolved SoS reconstruction using tomographic techniques also rely on a good SoS estimate for initial beamforming. In this work, we exploit spatially-varying geometric disparities in the transmit and receive paths of multiple sequences for estimating a mean medium SoS. We use images from diverging waves beamformed with an assumed SoS, and propose a model fitting method for estimating the SoS offset. We demonstrate the effectiveness of our proposed method for tomographic SoS reconstruction. With corrected beamforming SoS, the reconstruction accuracy on simulated data was improved by 63 % and 29 %, respectively, for an initial SoS over- and under-estimation of 1.5%. We further demonstrate our proposed method on a breast phantom, indicating substantial improvement in contrast-to-noise ratio for local SoS mapping.

Publication status

published

Editor

Book title

2021 IEEE International Ultrasonics Symposium (IUS)

Journal / series

Volume

Pages / Article No.

9593742

Publisher

IEEE

Event

2021 IEEE International Ultrasonics Symposium (IUS 2021)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Beamforming; Speed-of-sound imaging

Organisational unit

09528 - Göksel, Orçun (ehemalig) / Göksel, Orçun (former) check_circle

Notes

Funding

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