Sources of Image Degradation and their Correction in Single-sided Ultrasound Imaging of Heterogeneous Tissues

Book Chapter (2024)
Author(s)

Guillaume Renaud (TU Delft - ImPhys/Renaud group)

Danai E. Soulioti (University of North Carolina at Chapel Hill, North Carolina State University)

Gianmarco Pinton (University of North Carolina at Chapel Hill, North Carolina State University)

Research Group
ImPhys/Renaud group
DOI related publication
https://doi.org/10.1002/9781394306626.ch8
More Info
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Publication Year
2024
Language
English
Research Group
ImPhys/Renaud group
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
249-283
ISBN (print)
9781789451634
ISBN (electronic)
9781394306626
Reuse Rights

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Abstract

This chapter reviews the current state of knowledge on physical sources of image degradation within the medium and gives possible future research directions to further improve image quality in medical ultrasound imaging. It concentrates on the sources of image degradation arising from the heterogeneity of the scanned region. The chapter also focuses on conventional, i.e. single-sided ultrasound imaging of heterogeneous tissues, which relies on: the transmission of a set of pulsed ultrasound beams in the region of interest with an array transducer; the recording of ultrasound waves scattered by heterogeneities in the region of interest, typically with the same array transducer; and the use of an algorithm for image reconstruction that processes the recorded scattered echo signals. Until recently, real-time implementations of phase aberration correction on ultrasound scanners have achieved rather low imaging rates between 0.5 and 8.5 frames per second, because phase aberration correction requires advanced strategies and signal processing.

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