The project focuses on developing a novel algorithm for an important signal processing application – the acceleration of the dynamic magnetic resonance imaging (MRI). The task corresponds to signal reconstruction from incomplete observations. New algorithm for the reconstruction will be developed, enabling acceleration of the extremely time-consuming and expensive procedure of the MRI acquisition. The method will be based on iterative approaches but will also employ the modern methodology of deep learning via the unfolding approach.

Popis anglicky
The aim of the project is to create a competition for student research grants and its pilot verification. The creation of a new competition will contribute to the development of cross-sectional skills of doctoral students, and thus acquire competencies for work in science and research in the future and increase their success in submitting scientific projects to national and international competitions.

Klíčová slova
Grant scheme, Project management, Doctoral study programmes, Research project, Competence at science and research

FEKT-K-22-7772

angličtina

Mokrý Ondřej, Ing., Ph.D. - hlavní řešitel
Vitouš Jiří, Ing. - spoluřešitel

Fakulta elektrotechniky a komunikačních technologií
- odpovědné pracoviště (20.10.2021 - 13.1.2022)
Ústav telekomunikací
- odpovědné pracoviště (13.1.2022 - nezadáno)
Ústav telekomunikací
- spolupříjemce (1.1.2022 - 31.12.2022)
Fakulta elektrotechniky a komunikačních technologií
- příjemce (1.1.2022 - 31.12.2022)

MOKRÝ, O.; VITOUŠ, J. Unrolled L+S decomposition for compressed sensing in magnetic resonance imaging. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2022, vol. 24, no. 3, p. 86-93. ISSN: 1213-1539.
Detail

NOVÁK, V. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. 516 p. ISBN: 978-80-214-6029-4.
Detail

MOKRÝ, O.; VITOUŠ, J. Unfolded Low-rank + Sparse Reconstruction for MRI. In Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 271-275. ISBN: 978-80-214-6030-0.
Detail

Odpovědnost: Mokrý Ondřej, Ing., Ph.D.