Daniil Kazantsev

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The study of fluid flow through solid matter by computed tomography (CT) imaging has many applications, ranging from petroleum and aquifer engineering to biomedical, manufacturing, and environmental research. To avoid motion artifacts, current experiments are often limited to slow fluid flow dynamics. This severely limits the applicability of the technique.(More)
In this study, we aim to reconstruct single-photon emission computed tomography images using anatomical information from magnetic resonance imaging as a priori knowledge about the activity distribution. The trade-off between anatomical and emission data is one of the main concerns for such studies. In this work, we propose an anatomically driven anisotropic(More)
Nem szakmai kurzus: 12. Vincze Veronika: How to write and present academic papers in computer science Balázs Péter: Ipari röntgentomográfia Magyarul. Tömbösítve, otthonra is kiadott feladatokkal. Tematika-A 3D Tire Scanner rendszer felépítése-Kalibráció, vetületek előfeldolgozása, mozgás-és zajkorrekció-Folytonos és diszkrét rekonstrukciós algoritmusok(More)
Miners of basic professions employed in contemporary metal mining industry are exposed to a range of industrial factors, such as vibration, noise, dustiness, and unfavorable microclimate. Long-term exposure to these factors is hazardous to their health, which is manifested by elevated general and occupational morbidity and a higher rate of biological aging.(More)
In this paper, we propose an iterative reconstruction algorithm which uses available information from one dataset collected using one modality to increase the resolution and signal-to-noise ratio of one collected by another modality. The method operates on the structural information only which increases its suitability across various applications.(More)
X-ray imaging applications in medical and material sciences are frequently limited by the number of tomographic projections collected. The inversion of the limited projection data is an ill-posed problem and needs regularization. Traditional spatial regularization is not well adapted to the dynamic nature of time-lapse tomography since it discards the(More)
In this paper we present a new two-level iterative algorithm for tomographic image reconstruction. The algorithm uses a regularization technique, which we call edge-preserving Laplacian, that preserves sharp edges between objects while damping spurious oscillations in the areas where the reconstructed image is smooth. Our numerical simulations demonstrate(More)
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