Artifact-suppressed time-reversal imaging for ultrasound computed tomography.
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| Title: | Artifact-suppressed time-reversal imaging for ultrasound computed tomography. |
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| 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] |
| Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192669249 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artifact-suppressed time-reversal imaging for ultrasound computed tomography. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Gongwen%22">Zhang, Gongwen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Yi%22">Luo, Yi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jie%22">Zhang, Jie</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jzhang25@ustc.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Acoustical+Society+of+America%22">Journal of the Acoustical Society of America</searchLink>. Mar2026, Vol. 159 Issue 3, p1789-1804. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wave+equation%22">Wave equation</searchLink><br /><searchLink fieldCode="DE" term="%22Hilbert+transform%22">Hilbert transform</searchLink><br /><searchLink fieldCode="DE" term="%22Ultrasonic+imaging%22">Ultrasonic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Noise+control%22">Noise control</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22High+resolution+imaging%22">High resolution imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1121/10.0042753 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1789 Subjects: – SubjectFull: Wave equation Type: general – SubjectFull: Hilbert transform Type: general – SubjectFull: Ultrasonic imaging Type: general – SubjectFull: Noise control Type: general – SubjectFull: Diagnostic imaging Type: general – SubjectFull: High resolution imaging Type: general – SubjectFull: Signal-to-noise ratio Type: general Titles: – TitleFull: Artifact-suppressed time-reversal imaging for ultrasound computed tomography. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Gongwen – PersonEntity: Name: NameFull: Luo, Yi – PersonEntity: Name: NameFull: Zhang, Jie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00014966 Numbering: – Type: volume Value: 159 – Type: issue Value: 3 Titles: – TitleFull: Journal of the Acoustical Society of America Type: main |
| ResultId | 1 |
