Project detail

Dynamic Magnetic Resonance Imaging via Unfolded Algorithm

Duration: 01.01.2022 — 31.12.2022

Funding resources

Evropská unie - Interní grantová soutěž

- whole funder (2022-01-01 - 2022-12-31)

On the project

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.

Mark

FEKT-K-22-7772

Default language

English

People responsible

Vitouš Jiří, Ing. - fellow researcher
Mokrý Ondřej, Ing. - principal person responsible

Units

Department of Telecommunications
- (2022-01-01 - 2022-12-31)
Faculty of Electrical Engineering and Communication
- (2022-01-01 - 2022-12-31)

Results

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

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. ISBN: 978-80-214-6029-4.
Detail

Responsibility: Mokrý Ondřej, Ing.