Extension of Fourier-Based Techniques for Ultrafast Imaging in Ultrasound With Diverging Waves.

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Title: Extension of Fourier-Based Techniques for Ultrafast Imaging in Ultrasound With Diverging Waves.
Authors: Zhang, Miaomiao1, Varray, Francois1, Besson, Adrien2, Carrillo, Rafael E.2, Viallon, Magalie1, Garcia, Damien3, Thiran, Jean-Philippe2, Friboulet, Denis1, Liebgott, Herve1, Bernard, Olivier1
Source: IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control. Dec2016, Vol. 63 Issue 12, p2125-2137. 13p.
Subjects: Ultrasonic imaging, Image reconstruction, Computational complexity, Simulation methods & models, Fourier analysis
Abstract: Ultrafast ultrasound imaging has become an intensive area of research thanks to its capability in reaching high frame rates. In this paper, we propose a scheme that allows the extension of the current Fourier-based techniques derived for planar acquisition to the reconstruction of sectorial scan with wide angle using diverging waves. The flexibility of the proposed formulation was assessed through two different Fourier-based techniques. The performance of the derived approaches was evaluated in terms of resolution and contrast from both simulations and in vitro experiments. The comparisons of the current state-of-the-art method with the conventional delay-and-sum technique illustrated the potential of the derived methods for producing competitive results with lower computational complexity. [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.)
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An: 119943151
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  Data: Extension of Fourier-Based Techniques for Ultrafast Imaging in Ultrasound With Diverging Waves.
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  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, p2125-2137. 13p.
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  Data: Ultrafast ultrasound imaging has become an intensive area of research thanks to its capability in reaching high frame rates. In this paper, we propose a scheme that allows the extension of the current Fourier-based techniques derived for planar acquisition to the reconstruction of sectorial scan with wide angle using diverging waves. The flexibility of the proposed formulation was assessed through two different Fourier-based techniques. The performance of the derived approaches was evaluated in terms of resolution and contrast from both simulations and in vitro experiments. The comparisons of the current state-of-the-art method with the conventional delay-and-sum technique illustrated the potential of the derived methods for producing competitive results with lower computational complexity. [ABSTRACT FROM AUTHOR]
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  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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        Value: 10.1109/TUFFC.2016.2616300
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        Text: English
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      – SubjectFull: Computational complexity
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      – SubjectFull: Fourier analysis
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              Text: Dec2016
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