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Svetoslav Ivanov Nikolov
Researcher at Technical University of Denmark
Publications - 69
Citations - 2619
Svetoslav Ivanov Nikolov is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Synthetic aperture radar & Imaging phantom. The author has an hindex of 22, co-authored 69 publications receiving 2351 citations.
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Journal ArticleDOI
Synthetic Aperture Ultrasound Imaging
TL;DR: The paper describes the use of synthetic aperture (SA) imaging in medical ultrasound, where data is acquired simultaneously from all directions over a number of emissions, and the full image can be reconstructed from this data.
Journal ArticleDOI
SARUS: A synthetic aperture real-time ultrasound system
Jørgen Arendt Jensen,Hans Holten-Lund,R. T. Nilsson,M. Hansen,U. D. Larsen,R. P. Domsten,B.G. Tomov,Matthias Bo Stuart,Svetoslav Ivanov Nikolov,Michael Johannes Pihl,Yigang Du,Joachim Hee Rasmussen,Morten Fischer Rasmussen +12 more
TL;DR: The Synthetic Aperture Real-time Ultrasound System (SARUS) for acquiring and processing synthetic aperture data for research purposes is described, along with its performance for SA, nonlinear, and 3-D flow estimation imaging.
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Ultrasound research scanner for real-time synthetic aperture data acquisition
Jørgen Arendt Jensen,O. Holm,L.J. Jerisen,Henrik Bendsen,Svetoslav Ivanov Nikolov,Borislav Georgiev Tomov,Peter Munk,M. Hansen,K. Salomonsen,Jens Munk Hansen,K. Gormsen,H.M. Pedersen,Kim Gammelmark +12 more
TL;DR: The overall system concept is presented along with its implementation and examples of B-mode and in vivo synthetic aperture flow imaging, and the system is capable of performing real-time beamforming for conventional imaging methods using linear, phased, and convex arrays.
Journal ArticleDOI
In-vivo synthetic aperture flow imaging in medical ultrasound
TL;DR: A new method for acquiring flow images using synthetic aperture techniques in medical ultrasound makes it possible to have a continuous acquisition of flow data throughout the whole image simultaneously, and this can significantly improve blood velocity estimation.
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Ultrasound Vector Flow Imaging—Part II: Parallel Systems
TL;DR: The underlying acquisition and estimation methods for fast 2-D and 3-D velocity imaging for flow imaging are explained and a number of examples are given.