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Artifact-suppressed time-reversal imaging for ultrasound computed tomography.

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Bibliographic Details
Title: Artifact-suppressed time-reversal imaging for ultrasound computed tomography.
Authors: Zhang, Gongwen1 (AUTHOR), Luo, Yi2 (AUTHOR), Zhang, Jie3 (AUTHOR) jzhang25@ustc.edu.cn
Source: Journal of the Acoustical Society of America. Mar2026, Vol. 159 Issue 3, p1789-1804. 16p.
Subjects: Wave equation, Hilbert transform, Ultrasonic imaging, Noise control, Diagnostic imaging, High resolution imaging, Signal-to-noise ratio
Abstract: Ultrasound computed tomography (USCT) is a non-invasive quantitative imaging technique that estimates the reflectivity, sound speed, and attenuation properties of the imaged medium by transmitting and receiving ultrasound waves through multiple transducers, offering a cost-effective approach to medical imaging. Time-reversal imaging (TRI), based on the full two-way wave equation, provides effective illumination for steeply dipping structures and complex regions with strong vertical and lateral velocity contrasts. Applied to USCT, TRI enables the recovery of sub-Fresnel-scale fine structures without requiring iterative inversion or MHz-level high-frequency wavelets, thereby improving both image clarity and computational efficiency. However, the conventional zero-lag cross correlation imaging condition introduces low-frequency, high-amplitude artifact noise, which obscure lesion boundaries and reduce diagnostic reliability. To address this issue within the USCT geometry, we propose a modified imaging condition based on implicit full-wavefield decomposition using the Hilbert transform. This approach separates the forward and adjoint wavefields into upgoing/downgoing and leftgoing/rightgoing components, while avoiding the need to explicitly store these large datasets. As a result, it enables effective computation, improves imaging quality, and enhances signal-to-noise ratio. Synthetic experiments with breast and brain models demonstrate the potential applicability of this method for high-resolution USCT. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Ultrasound computed tomography (USCT) is a non-invasive quantitative imaging technique that estimates the reflectivity, sound speed, and attenuation properties of the imaged medium by transmitting and receiving ultrasound waves through multiple transducers, offering a cost-effective approach to medical imaging. Time-reversal imaging (TRI), based on the full two-way wave equation, provides effective illumination for steeply dipping structures and complex regions with strong vertical and lateral velocity contrasts. Applied to USCT, TRI enables the recovery of sub-Fresnel-scale fine structures without requiring iterative inversion or MHz-level high-frequency wavelets, thereby improving both image clarity and computational efficiency. However, the conventional zero-lag cross correlation imaging condition introduces low-frequency, high-amplitude artifact noise, which obscure lesion boundaries and reduce diagnostic reliability. To address this issue within the USCT geometry, we propose a modified imaging condition based on implicit full-wavefield decomposition using the Hilbert transform. This approach separates the forward and adjoint wavefields into upgoing/downgoing and leftgoing/rightgoing components, while avoiding the need to explicitly store these large datasets. As a result, it enables effective computation, improves imaging quality, and enhances signal-to-noise ratio. Synthetic experiments with breast and brain models demonstrate the potential applicability of this method for high-resolution USCT. [ABSTRACT FROM AUTHOR]
ISSN:00014966
DOI:10.1121/10.0042753