S
Septimiu E. Salcudean
Researcher at University of British Columbia
Publications - 440
Citations - 15689
Septimiu E. Salcudean is an academic researcher from University of British Columbia. The author has contributed to research in topics: Imaging phantom & Elastography. The author has an hindex of 64, co-authored 399 publications receiving 14100 citations. Previous affiliations of Septimiu E. Salcudean include University of California, Berkeley & IBM.
Papers
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4-D x 3-D ultrasound: real-time scan conversion, filtering, and display of displacement vectors with a motorized curvilinear transducer
TL;DR: The proposed algorithm utilizes the physical scan geometry to convert the 3-D volumes of displacement data to both Cartesian coordinates and Cartesian displacements and can be performed faster than the native rate of data acquisition for the motorized transducer.
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Attenuation Coefficient Estimation of Normal Placentas.
Farah Deeba,Manyou Ma,Mehran Pesteie,Jefferson Terry,Denise Pugash,Jennifer A. Hutcheon,Chantal Mayer,Septimiu E. Salcudean,Robert Rohling +8 more
TL;DR: A new Attenuation Estimation Region Of Interest (AEROI) selection method for computing the attenuation coefficient estimate based on the envelope signal-to-noise ratio deviation and coefficient of variation of the transmit pulse bandwidth is proposed.
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Optimization-based teleoperation controller design
TL;DR: In this paper, the trade-off between robustness and performance is considered in a convex optimization problem and the limit of performance achievable with the designed controller, and thus the exact form of the tradeoff between performance and robust stability, can be computed numerically.
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Robot-Assisted Medical Imaging: A Review
TL;DR: The view of the state of the art in ultrasound, endoscopy, X-ray, optical coherence tomography, and nuclear medicine is described and approaches to autonomous scanning and physics-driven approaches such as elastography and photoacoustic tomography are discussed.
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A novel gaze-supported multimodal human–computer interaction for ultrasound machines
TL;DR: The preliminary study suggests that, when combined with a simple handheld controller, eye gaze tracking can be integrated into the US machine HCI for more efficient machine control.