P
P. Lysyansky
Researcher at Technion – Israel Institute of Technology
Publications - 6
Citations - 1213
P. Lysyansky is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Motion estimation & Approximation error. The author has an hindex of 4, co-authored 6 publications receiving 1164 citations.
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Journal ArticleDOI
Two-dimensional strain-a novel software for real-time quantitative echocardiographic assessment of myocardial function.
Marina Leitman,P. Lysyansky,Stanislav Sidenko,Vladimir Shir,Eli Peleg,Michal Binenbaum,Edo Kaluski,Ricardo Krakover,Zvi Vered +8 more
TL;DR: In this paper, the authors assess the feasibility of 2D strain, a software for real-time quantitative echocardiographic assessment of myocardial function, which is based on the estimation that a discrete set of tissue velocities are present per each of many small elements on the ultrasound image.
Journal ArticleDOI
Improving motion estimation by accounting for local image distortion
TL;DR: In this paper, a two-stage algorithm for cardiac motion estimation is proposed, where the data is taken from a sequence of 2D echocardiograms, combining the advantages of block-matching and optical flow techniques.
Journal ArticleDOI
Detection of the cardiac activation sequence by novel echocardiographic tissue tracking method.
Dan Rappaport,Eugene Konyukhov,Lilia Shulman,Zvi Friedman,P. Lysyansky,Amir Landesberg,Dan Adam +6 more
TL;DR: Conclusions were that motion analysis in echocardiograms provides insightful information regarding the activation process and may enhance procedures such as CRT.
Proceedings ArticleDOI
Ultrasonographic quantification of local cardiac dynamics by tracking real reflectors: algorithm development and experimental validation
Dan Adam,Amir Landesberg,Eugene Konyukhov,P. Lysyansky,O. Lichtenstein,Nahum Smirin,Zvi Friedman +6 more
TL;DR: A new ultrasound B-mode image analysis technique was developed that identifies and tracks real reflectors in successive frames that allows precise reconstruction of myocardial activation with 16msec time resolution and is tested to identify the mechanical propagation of cardiac local contraction.