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Research Centre for Magnetic Resonance in Medicine

Contract number
075-15-2021-592
Time span of the project
2021-2023

As of 01.12.2023

44
Number of staff members
14
scientific publications
2
Objects of intellectual property
General information

In recent years, the scientific research in the field of MRI (magnetic resonance imaging, one of the most important non-invasive medical imaging methods) has been focused on the development of quantitative methods aimed the search for biomarkers for the early diagnostics and the assessment of the activity of diseases as well as of the efficiency of therapeutic strategies. In spite of the interest and promising prospects, these quantitative methods are not widely implemented in daily clinical practice, perhaps, due to the limitations of the internation between physicists and medical professionals who work on problems of magnetic resonance.

Name of the project: Advanced quantitative technologies in magnetic resonance imaging for the detection of the stages of inflammation and fibrosis as markers of diseases.




Goals and objectives

Project objective:

To achieve the goals of the project, the following tasks have been set for the team:

  1. To develop new radio-frequency coils (RF coils) and substrates based on materials with high dielectric permeability and «artificial» materials with special electromagnetic properties for the improvement of the signal-to-noise ratio, the resolution of images, the homogeneity of the magnetic field in the area of interest, as well as the RF safety;
  2. To develop special quantitative MRI methods and protocols for the early detection and control of inflammation and fibrosis in specific organs;
  3. To develop post-processing methods on the basis of deep learning for the collection of quantitative metrics magnetic resonance images;
  4. To research specific biomarkers for the assessment of the activity of diseases and the determination of the efficiency of therapeutic strategies.

The practical value of the study

Scientific results:

In particular, within the framework of the project, a set of radiofrequency (RF) devices based on promising technologies and unique materials was designed and tested experimentally with the participation of volunteers and patients to improve the quality of clinical magnetic resonance imaging (MRI) of the wrist, abdominal region and fetus (in MRI of pregnant women), heart structures and the brain.

These results open great prospects for wireless RF coils and pads based on "artificial" materials for use in MRI using effective, but at the same time intense pulse sequences, the use of which under standard conditions is impossible due to exceeding the RF load standards, and significantly increase the diagnostic value of the obtained MR images in terms of eliminating artifacts and increasing the detail of the images.

The proposed concept can be useful in studying patients with implants and children, for whom compromise, and less effective pulse sequence options are usually used due to the need to reduce the RF load further. In addition, the laboratory team members demonstrated at the third stage of the project that such RF devices can be used to improve the diagnostic value of MR screening of the mammary glands.

In addition to developing RF devices, the project team proposed methods and developed protocols for quantitative MRI of the heart and liver to detect and monitor fibrosis. It is worth noting that open access to the proposed MR scanning protocols, in particular, to the quantitative cardiac MRI protocol, together with access to software for processing the data results, will expand the range of studies conducted at the Almazov National Medical Research Center and other medical institutions of the Russian Federation, and, possibly, reduce the use of contrast agents to critically necessary cases, which, on the one hand, will make cardio MRI studies more accessible, and on the other hand, safer.

In turn, the results of studies on the detection and determination of the stage of liver iron overload show that the use of MRI machines with a field strength of 3 T using the proposed scanning protocols will significantly reduce the study time and potentially avoid the introduction of drugs for the diagnostic procedure in newborns and preschool patients. The project also developed a method for mapping T2 relaxation times for musculoskeletal MRI.

The proposed method for reconstructing T2 maps is based on the use of multi-slice dictionaries generated by numerically solving the Bloch equations. Compared to the method using single-slice dictionaries, the new method reduced the variation of T2 values ​​between slices and also reduced the error in determining T2 relative to the reference values. The potential of the developed method is the possibility of its adaptation to other pulse sequences in addition to multi-echo spin-echo. Finally, the team developed methods for post-processing MR data using deep learning methods. In the field of cardiac MRI, a project was presented to accelerate MR scanning by reducing the number of phase encoding steps and further reconstructing images using generative networks. Based on the results of the project, an additional educational program "Magnetic Resonance Imaging: Physical Foundations and Modern Trends" was developed for students, postgraduates of Russian universities, as well as MRI engineers.

Education and personnel occupational retraining:

Following the project implementation, an additional educational program “Magnetic Resonance Imaging: Physical Foundations and Modern Trends” was developed for students, postgraduates of Russian universities, as well as MRI engineers.

Cooperation:

Almazov National Medical Research Centre

Center for Magnetic Resonance in Biology and Medicine (CRMBM), Aix Marseille University

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Ekaterina Brui, Zilya Badrieva, Charles-Alexis de Mayenne, Stanislas Rapacchi, Thomas Troalen, David Bendahan
Mitigating slice cross-talk in multi-slice multi-echo spin echo T2 mapping // Magnetic Resonance in Medicine. – 5. – 2024. – 2089-2103.
Pavel Tikhonov, Anatoliy Levchuk, Artem Trufanov, Alexandr Efimtsev, Mikhail Zubkov
Addiction-like alterations of brain activity in recreational video gamers detected via the cue-reactivity fMRI experiment // Computers in Human Behavior. – 152. – 2024. – 108052.
Walid Al-Haidri, Igor Matveev, Mugahed A. Al-antari, and Mikhail Zubkov
A Deep Learning Framework for Cardiac MR Under-Sampled Image Reconstruction with a Hybrid Spatial and k-Space Loss Function // Diagnostics. – 13(6). – 2023. – 1120.
Ekaterina Brui, Anna Mikhailovskaya, Georgiy Solomakha, Alexander Efimtcev, Anna Andreychenko, Alena Shchelokova
Volumetric wireless coil for wrist MRI at 1.5 T as a practical alternative to Tx/Rx extremity coil: a comparative study // Journal of Magnetic Resonance. – 339. – 2022. – 107209.
Nikita Vladimirovб Ekaterina Bruiб Anatoliy Levchuk, Walid Al-Haidri, Vladimir Fokin, Aleksandr Efimtcev, David Bendahan
CNN-based fully automatic wrist cartilage volumequantification in MR images: A comparative analysisbetween different CNN architectures // Magnetic Resonance in Medicine. – 90. – 2023. – 737-751.
Ekaterina A. Brui, Stanislas Rapacchi, David Bendahan & Anna E. Andreychenko
Comparative analysis of SINC-shaped and SLR pulses performance for contiguous multi-slice fast spin-echo imaging using metamaterial-based MRI // Magnetic Resonance Materials in Physics, Biology and Medicine. – 34. – 2021. – 929-938.
Vsevolod Vorobyev, Alena Shchelokova, Alexander Efimtcev, Juan D. Baena, Redha Abdeddaim, Pavel Belov, Irina Melchakova, Stanislav Glybovski
Improving B+1 homogeneity in abdominal imaging at 3 T with light, flexible, and compact metasurface // Magnetic Resonance in Medicine. – 87. – 2022. – 496-508.
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