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Appl. Sci. 2018, 8(11), 2133; https://doi.org/10.3390/app8112133

Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance

Medical Ultrasound Research Center, Doshisha University, Kyotanabe Kyoto 610-0321, Japan
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Received: 14 September 2018 / Revised: 23 October 2018 / Accepted: 27 October 2018 / Published: 2 November 2018
(This article belongs to the Special Issue Ultrasound B-mode Imaging: Beamforming and Image Formation Techniques)
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Abstract

Since the sound velocity for medical ultrasound imaging is usually set at 1540 m/s, the ultrasound imaging of a patient with a thick layer of subcutaneous fat is degraded due to variations in the sound velocity. This study proposes a method of compensating for image degradation to correct beamforming. This method uses the sound velocity distribution measured in simultaneous ultrasound (US) and magnetic resonance (MR) imaging. Experiments involving simultaneous imaging of an abdominal phantom and a human neck were conducted to evaluate the feasibility of the proposed method using ultrasound imaging equipment and a 1.5 T MRI scanner. MR-visible fiducial markers were attached to an ultrasound probe that was developed for use in an MRI gantry. The sound velocity distribution was calculated based on the MRI cross section, which was estimated as a corresponding cross section of US imaging using the location of fiducial markers in MRI coordinates. The results of the abdominal phantom and neck imaging indicated that the estimated values of sound velocity distribution allowed beamform correction that yielded compensated images. The feasibility of the proposed method was then evaluated in terms of quantitative improvements in the spatial resolution and signal-to-noise ratio. View Full-Text
Keywords: beamforming; MRI; MR-visible fiducial marker; subcutaneous fat layer; thyroid imaging; spatial resolution; signal-to-noise ratio (SNR); 1-3 piezocomposite material beamforming; MRI; MR-visible fiducial marker; subcutaneous fat layer; thyroid imaging; spatial resolution; signal-to-noise ratio (SNR); 1-3 piezocomposite material
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Inagaki, K.; Arai, S.; Namekawa, K.; Akiyama, I. Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance. Appl. Sci. 2018, 8, 2133.

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