In computed tomography, state-of-the-art reconstruction is based on neural network (NN)
algorithms. However, NN reconstruction algorithms can be not robust to small noise-like …

The importance of development of new methods for reconstruction of an object image given
its sinogram and some additional information about the object stems from the possibility of …

The development of new methods for reconstruction of an object image given its sinogram
and some additional information about the object is important due to the possibility of artifact …

The presence of errors in tomographic image may lead to misdiagnosis when computed
tomography (CT) is used in medicine, or the wrong decision about parameters of …

The development of methods for improving the quality of tomographic images is an urgent
task, as the presence of artifacts and insufficient sharpness of tomography result can cause …

A simulation model is proposed for evaluating nonmonoergeticity and scattering artifacts in
computed tomography in parallel beam geometry using the example of inhomogeneous …

The paper presents a novel method for suppression of the orthotropic stripe artifacts typical
for sensitive optical detector arrays. The algorithm is based on the guided filtering technique …

The present paper is devoted to the solution of a tomographic reconstruction problem of
using a regularized algebraic approach for large scale data. The paper explores the issues …

Предложена имитационная модель оценки артефактов немоноэнергетичности и
рассеяния в компьютерной томографии в геометрии параллельного пучка на примере …

Метод рентгеновской томографии находит широкое применение в медицине,
промышленности, таможенном контроле и, конечно, в научных исследованиях, как …