Cost-efficient MRI diagnostics for the Global South

However, quantitative tumor classification has so far been a challenge due to low contrast and low sensitivity. The new developments by Max Planck researchers aim to overcome these limitations.

The low-field MRI system presented uses second-generation high-temperature superconductors and combines hyperpolarization with deep learning. This combination enables continuous hyperpolarization of the sample without injected contrast agents. As a result, biochemical reactions in the body can be examined more precisely. "New polarization processes in combination with deep learning will enable considerably improved imaging than previously known," explains project leader Pavel Povolni.

One of the main advantages of this new technology is its cost efficiency. The system is to be optimized for use in the Global South in particular, where cost-effective diagnostic methods are urgently needed. "Our goal is to use our development to contribute to the design of efficient and cost-effective MRI scanners," says Povolni.

The Max Planck Institute for Biological Cybernetics has many years of experience in medical imaging and is involved in several scientific programs dealing with the integration of new medical technologies. These programs make targeted use of artificial intelligence to improve imaging and diagnostics.

Together with its researchers, the Max Planck Institute is part of the recently founded Center for Bionic Intelligence in Stuttgart and Tübingen. Further collaborations exist with the ELLIS Society, the Tübingen A.I. Center and the Cluster of Excellence Bionic Intelligence for Health (BI4H). These partnerships promote the further development and application of new imaging technologies.

The developments of the Max Planck Institute for Biological Cybernetics offer a promising solution for cost-efficient and precise MRI diagnostics. Countries in the Global South in particular could benefit from this technology, which enables cost-effective and efficient diagnostics. The integration of hyperpolarization and artificial intelligence represents a significant advance in medical imaging and could improve the diagnosis and treatment of diseases worldwide.

MEDICA-tradefair.com; Source: Max Planck Institute for Biological Cybernetics