Introduction Strategies for achieving high resolution varies between manufacturers. In CT,
the helical mode with narrow collimation has long been considered as the gold standard for …

This work is related to our original statistical model-based iterative reconstruction conception
for medical computed tomography with the flying focal spot. This new reconstruction …

This paper presents an original approach to the image reconstruction problem for spiral CT
scanners where the FFS (Flying Focal Spot) technology in an x-ray tube is implemented. The …

This study introduces a novel ML-EM estimation method for reconstructing images in
positron emission tomography. The concept proposed here utilizes a continuous-to …

In this paper, a novel approach to the GQR algorithm is presented. The idea revolves around
batch training for the feedforward neural networks. The core of this paper contains a …

This paper presents an original approach to the image reconstruction problem for spiral CT
scanners where the multi-source and/or the Flying Focal Spot (FFS) technology is …

This original approach to the formulation of a continuous-to-continuous (CC) forward model
can be used as a universal way to design reconstruction algorithms. In this work, we show …

The presented paper describes implementations of the gesture recognition methods based
on the convolutional neural networks. For this purpose, we adopted three CNN structures …

This paper presents some practical realizations of image reconstruction methods for spiral
cone-beam tomography scanners in which an X-ray tube with a flying focal spot is used …