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Presenter: Mohammed Albulayli
Supervisor:

Date: Wed, July 25, 2018
Time: 12:30:00 - 00:00:00
Place: EOW 430

ABSTRACT

Abstract:
Plane-wave ultrasound imaging allows for ultrafast image acquisition rates, thus enabling new biomedical applications, such as ultrasound-based blood flow and tissue motion characterization. We propose two novel Fourier-domain techniques for plane-wave ultrasound image reconstruction that can be used as an alternative to conventional delay-and-sum beamforming. In particular, we show how to modify two classic algorithms used for geophysical data processing (namely Stolt’s and slant-stack depth migration under zero-offset constant-velocity assumptions), so that their new versions can be used for plane-wave ultrasound data processing. To demonstrate the merits and limitations of our approach, we provide qualitative and quantitative comparisons with other Fourier-domain methods reported in the ultrasound literature. Our evaluation results are based on the image resolution, contrast, and similarity metrics obtained for several public domain experimental benchmark datasets.