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Efficient similarity-driven emission angle selection for coherent plane-wave compounding

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dc.contributor.author Akbar, Haroon Ali
dc.date.accessioned 2018-10-09T21:10:32Z
dc.date.available 2018-10-09T21:10:32Z
dc.date.copyright 2018 en_US
dc.date.issued 2018-10-09
dc.identifier.uri http://hdl.handle.net/1828/10141
dc.description.abstract Typical ultrafast plane-wave ultrasound imaging involves: 1) insonifying the medium with several plane-wave pulses emitted at different angles by a linear transducer array, 2) sampling the returning echo signals, after each plane-wave emission, with the same transducer array, 3) beamforming the recorded angle-specific raw data frames, and 4) compounding the beamformed data frames over all angles to form a final image. This thesis attempts to address the following question: Given a set of available plane-wave emission angles, which ones should we select for acquisition (i.e., which angle-specific raw data frames should we sample), to achieve adequate image quality at low cost associated with both sampling and computation? We propose a simple similarity-driven angle selection scheme and evaluate its several variants that rely on user-specified similarity measurement thresholds guiding the recursive angle selection process. Our results show that the proposed scheme has a low computational overhead and can yield significant savings in terms of the amount of sampled raw data. en_US
dc.language English eng
dc.language.iso en en_US
dc.rights Available to the World Wide Web en_US
dc.subject Similarity - Driven Angle Selection Using Beamformed Data (SASB) en_US
dc.subject Similarity - Driven Angle Selection Using Raw Data (SASR) en_US
dc.subject Ultrasound Image Quality en_US
dc.subject Delay - and - Sum (DAS) Beamforming en_US
dc.subject Coherent Plane - Wave Compounding (CPWC) en_US
dc.title Efficient similarity-driven emission angle selection for coherent plane-wave compounding en_US
dc.type Thesis en_US
dc.contributor.supervisor Rakhmatov, Daler N.
dc.degree.department Department of Electrical and Computer Engineering en_US
dc.degree.level Master of Applied Science M.A.Sc. en_US
dc.description.scholarlevel Graduate en_US


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