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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Proceedings ArticleDOI
Isotropy and actuator optimization in haptic interface design
Septimiu E. Salcudean,Leo Stocco +1 more
TL;DR: A mechanism design methodology that maximizes a workspace-inclusive isotropy index and force maximization in coreless or voice-coil motors is considered in order to maximize haptic interface acceleration.
Journal ArticleDOI
Needle tip localization using stylet vibration.
TL;DR: Tissue stiffness affects the performance of the lateral vibration method, but good images can be obtained through proper tuning of the ultrasound machine, as well as better than the axial vibration method.
Book ChapterDOI
Hand-Held Steerable Needle Device
TL;DR: In this paper, a handheld device for steerable needle insertions for minimally invasive percutaneous procedures is presented, where a 20-gauge needle is used to control direction and rate of steering according to a two-axis miniature joystick input.
Proceedings ArticleDOI
A coarse-fine approach to force-reflecting hand controller design
Leo Stocco,Septimiu E. Salcudean +1 more
TL;DR: In this paper, a coarse-fine approach to the design of high fidelity haptic interfaces is proposed based on prior work and new psychophysics studies, which involves a fine-motion six-degree-of-freedom parallel Lorentz actuator mounted on a series/parallel coarse-motion stage and coupled through a compliant transmission.
Journal ArticleDOI
A Comparison of Finite Element-Based Inversion Algorithms, Local Frequency Estimation, and Direct Inversion Approach Used in MRE
TL;DR: In quantitative elastography, maps of the mechanical properties of soft tissue, or elastograms, are calculated from the measured displacement data by solving an inverse problem by using a linear isotropic elastic model, but the methods vary in their assumptions, such as local homogeneity or incompressibility, and in the specific approach used.