A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging.
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| Title: | A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging. |
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| Authors: | Besson, Adrien1, Zhang, Miaomiao2, Varray, Francois2, Liebgott, Herve2, Friboulet, Denis2, Wiaux, Yves3, Thiran, Jean-Philippe1, Carrillo, Rafael E.1, Bernard, Olivier2 |
| Source: | IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control. Dec2016, Vol. 63 Issue 12, p2092-2106. 15p. |
| Subjects: | Plane wavefronts, Compressed sensing, Magnetic resonance imaging, Image reconstruction, Image quality analysis |
| Abstract: | Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Among PW imaging methods, Fourier-based approaches have demonstrated to be competitive compared with traditional delay and sum methods. Motivated by the success of compressed sensing techniques in other Fourier imaging modalities, like magnetic resonance imaging, we propose a new sparse regularization framework to reconstruct highquality ultrasound (US) images. The framework takes advantage of both the ability to formulate the imaging inverse problem in the Fourier domain and the sparsity of US images in a sparsifying domain. We show, by means of simulations, in vitro and in vivo data, that the proposed framework significantly reduces image artifacts, i.e., measurement noise and sidelobes, compared with classical methods, leading to an increase of the image quality. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control is the property of IEEE 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: 119943149 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Besson%2C+Adrien%22">Besson, Adrien</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Miaomiao%22">Zhang, Miaomiao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Varray%2C+Francois%22">Varray, Francois</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Liebgott%2C+Herve%22">Liebgott, Herve</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Friboulet%2C+Denis%22">Friboulet, Denis</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wiaux%2C+Yves%22">Wiaux, Yves</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Thiran%2C+Jean-Philippe%22">Thiran, Jean-Philippe</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Carrillo%2C+Rafael+E%2E%22">Carrillo, Rafael E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bernard%2C+Olivier%22">Bernard, Olivier</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Ultrasonics+Ferroelectrics+%26+Frequency+Control%22">IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control</searchLink>. Dec2016, Vol. 63 Issue 12, p2092-2106. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Plane+wavefronts%22">Plane wavefronts</searchLink><br /><searchLink fieldCode="DE" term="%22Compressed+sensing%22">Compressed sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Image+quality+analysis%22">Image quality analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Among PW imaging methods, Fourier-based approaches have demonstrated to be competitive compared with traditional delay and sum methods. Motivated by the success of compressed sensing techniques in other Fourier imaging modalities, like magnetic resonance imaging, we propose a new sparse regularization framework to reconstruct highquality ultrasound (US) images. The framework takes advantage of both the ability to formulate the imaging inverse problem in the Fourier domain and the sparsity of US images in a sparsifying domain. We show, by means of simulations, in vitro and in vivo data, that the proposed framework significantly reduces image artifacts, i.e., measurement noise and sidelobes, compared with classical methods, leading to an increase of the image quality. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control is the property of IEEE 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: 10.1109/TUFFC.2016.2614996 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 2092 Subjects: – SubjectFull: Plane wavefronts Type: general – SubjectFull: Compressed sensing Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Image reconstruction Type: general – SubjectFull: Image quality analysis Type: general Titles: – TitleFull: A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Besson, Adrien – PersonEntity: Name: NameFull: Zhang, Miaomiao – PersonEntity: Name: NameFull: Varray, Francois – PersonEntity: Name: NameFull: Liebgott, Herve – PersonEntity: Name: NameFull: Friboulet, Denis – PersonEntity: Name: NameFull: Wiaux, Yves – PersonEntity: Name: NameFull: Thiran, Jean-Philippe – PersonEntity: Name: NameFull: Carrillo, Rafael E. – PersonEntity: Name: NameFull: Bernard, Olivier IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 08853010 Numbering: – Type: volume Value: 63 – Type: issue Value: 12 Titles: – TitleFull: IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control Type: main |
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