Ustijana Rechkoska Shikoska

Work place: University of Information Science & Technology, ―St. Paul the Apostle‖, Partizanska B.B., 6000, Ohrid, Macedonia



Research Interests: Applied computer science, Computational Science and Engineering, Computer systems and computational processes, Theoretical Computer Science, Data Structures and Algorithms


Ustijana Shikoska Rechkoska holds a PhD in Technical Sciences – Computer Science and Engineering. Since 2011, she is affiliated as Assistant Professor in computer science and informatics with the University of Information Science and Technology (UIST) ‗St. Paul the Apostle‘, Ohrid, Macedonia. During 2011–2013, she has been Vice Rector for Academic Affairs and International Collaboration at UIST. She has published over 78 scientific and professional papers.

Author Articles
A Novel Approach to T2-Weighted MRI Filtering: The Classic-Curvature and the Signal Resilient to Interpolation Filter Masks

By Carlo Ciulla Farouk Yahaya Edmund Adomako Ustijana Rechkoska Shikoska Grace Agyapong Dimitar Veljanovski Filip A. Risteski

DOI:, Pub. Date: 8 Jan. 2016

This paper presents a novel and unreported approach developed to filter T2-weighetd Magnetic Resonance Imaging (MRI). The MRI data is fitted with a parametric bivariate cubic Lagrange polynomial, which is used as the model function to build the continuum into the discrete samples of the two-dimensional MRI images. On the basis of the aforementioned model function, the Classic-Curvature (CC) and the Signal Resilient to Interpolation (SRI) images are calculated and they are used as filter masks to convolve the two-dimensional MRI images of the pathological human brain. The pathologies are human brain tumors. The result of the convolution provides with filtered T2-weighted MRI images. It is found that filtering with the CC and the SRI provides with reliable and faithful reproduction of the human brain tumors. The validity of filtering the T2-weighted MRI for the quest of supplemental information about the tumors is also found positive.

[...] Read more.
Other Articles