3-Tesla MRI Scanner: A Glimpse into the Future of Medical Technology

With novel technology and the integration of artificial intelligence, a new MRI scanner promises to significantly improve medical imaging. The scanner is characterized by its high performance and enables a more precise analysis of image data by means of an AI functionality.

In an interview with MEDICA-tradefair.com, Prof. Maxim Zaitsev explains the current state of research and what results the research team hopes to achieve.

What makes the 3 Tesla MRI scanner at Freiburg University Hospital so special?

Prof. Maxim Zaitsev: It is clearly its power. The device combines a field strength of 3 Tesla, which offers good image quality, with the magnetic field gradients of 200 millitesla per meter. It thus enables new applications in both diagnostics and basic research.

The gradient coil is driven by two amplifiers per channel. Normally, only one amplifier is used. This method allows better imaging of the mobility of molecules in the body, creating unique contrasts. No other medical imaging method can provide this kind of contrast. This opens up new possibilities in the diagnosis of diseases and the evaluation of therapeutic success in tumors, cardiac research, but also neurodegenerative diseases.

Another key advantage of this MRI scanner is the innovative cooling technology used. By injecting cooling water directly into the wires of the coils, heat generation can be effectively controlled. This enables the realization of the aforementioned magnetic field gradients of 200 mT/m and, with reference to the gradient strength, exceeds all current clinical systems by more than a factor of 2. This higher gradient strength leads to a reduction in the weighting time for the movement of the water molecules, resulting in even more accurate imaging of the tissues.

How will this scanner affect medical care and patient care?

Zaitsev: The main goal of this research system is to gain new insights and understand what is coming. It can help us find the optimal parameters for different measurements, improving the accuracy and clarity of images. With this system, we may also be able to detect diseases earlier and treat them more effectively.

In addition, the integration of artificial intelligence will enable faster and more accurate analysis of image data, leading to more efficient diagnosis and treatment. The future of medical technology undoubtedly lies in the development of such innovative devices. However, less powerful routine MR devices will also benefit from methods and protocols optimized on this system.

Finally, could you give us an outlook on the next steps planned in connection with this new MRI scanner at Freiburg University Hospital?

Zaitsev: We are working on developing and testing new methods to further improve the scanner's accuracy and efficiency. In clinical studies, the capabilities of the scanner will be tested on a selected number of subjects or patients to verify the effectiveness of the new methods. Very interesting in this context is the shortened weighting time for diffusion and flow imaging that is possible with the system. Can it possibly be used to produce even sharper images? That is exactly what we want to find out.

In addition, the AI functionality will be available in other Siemens products in the future. We expect this to result in faster image acquisition, more precise analysis of image data, and improved detection of diseases.