Research areas
- Magnetic resonance imaging (MRI) and spectroscopy methods
- Pulse sequences
- Quantitative MRI
- MR image reconstruction
- MR morphometry methods
- Digital phantoms
- Algorithms and software for MRI
- Neural networks
Current projects
👉🏼 Creation of physics-informed synthetic MRI data for deep learning
We develop digital phantoms and methods for generating realistic MR images for training neural networks and other applications requiring large volumes of MRI data (NIRSII).
👉🏼 Scanning methods for 1.5 T MRI
We design algorithms for generating pulse sequence diagrams for a Russian 1.5 T scanner commissioned by JSC NIITFA (Rosatom State Corporation).
👉🏼 MR morphometry of the heart
We create methods for quantitative localized assessment of myocardial fibrosis based on MRI data to automate and improve the accuracy of cardiovascular disease diagnostics within the framework of an RSF project.
👉🏼 Software for a low-field MRI scanner
We are developing a complete software stack — from scan control algorithms, signal processing, and image reconstruction to the operator interface — for a low-field MR system currently under development at the Faculty of Physics.
