Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sergej Lebedev"'
Publikováno v:
Medical Physics. 49:1495-1506
PURPOSE A motion compensation method that is aimed at correcting motion artifacts of cardiac valves is proposed. The primary focus is the aortic valve. METHODS The method is based around partial angle reconstructions and a cost function including the
Autor:
Sergej Lebedev, Eric Fournie, Elias Eulig, Joscha Maier, Michael Lell, Stefan Sawall, Julien Erath, Marc Kachelrieß, Karl Stierstorfer
Publikováno v:
Medical Physics. 48:3559-3571
PURPOSE During a typical cardiac short scan, the heart can move several millimeters. As a result, the corresponding CT reconstructions may be corrupted by motion artifacts. Especially the assessment of small structures, such as the coronary arteries,
Publikováno v:
Stanovništvo, Vol 58, Iss 1, Pp 47-61 (2020)
In the contemporary sociology of religion that focuses on the study of Orthodox religiosity, especially in Russia and partly in Serbia, there are different theoretical and methodological approaches to assessing the criteria of orthodox religiosity in
Autor:
Sergej Lebedev
Publikováno v:
osteuropa. 72:117
Publikováno v:
Medical Imaging 2018: Physics of Medical Imaging.
Publikováno v:
Zeitschrift fur medizinische Physik. 27(3)
Purpose Optimization of the AIR–algorithm for improved convergence and performance. Methods The AIR method is an iterative algorithm for CT image reconstruction. As a result of its linearity with respect to the basis images, the AIR algorithm posse
Autor:
Michael Knaup, Sergej Lebedev, Stefan Kuchenbecker, Marc Kachelrieß, Sebastian Faby, Stefan Sawall
Publikováno v:
SPIE Proceedings.
The reconstruction of CT images with low noise and highest spatial resolution is a challenging task. Usually, a trade-off between at least these two demands has to be found or several reconstructions with mutually exclusive properties, i.e. either lo
Publikováno v:
SPIE Proceedings.
Edge–preserving adaptive filtering within CT image reconstruction is a powerful method to reduce image noise and hence to reduce patient dose. However, highly sophisticated adaptive filters typically comprise many parameters which must be adjusted