Capture the clearest image of the brain with new technology

Capture the clearest image of the brain with new technology


According to Hamshahri Online, quoted by New Atlas: The Iseult MRI machine, developed by the French Commission for Alternative Energy and Atomic Energy, has a magnetic field strength of 11.7 tesla. In comparison, conventional MRI machines widely used in hospitals today are typically 1.5 or at most 3 Tesla. The main advantage of this extra power is that it can take much higher resolution images of the brain and much faster.

This new device can capture images of up to 0.2 mm of brain tissue horizontally in 1 mm thick slices in just 4 minutes. To understand this unique feature, it is better to know that, in order for normal MRI machines to take pictures with this resolution, patients have to lie still inside the machine for more than 2 hours, and the slightest movement causes the picture to blur, which is not possible.

Also, in order to increase the patient’s comfort, a hole in which the head should be placed is made with a width of 90 cm, which patients can stick their head into. This increase may not seem like much compared to the 60-70cm size of conventional devices, but the extra headroom can help make the experience less claustrophobic.

Isolt was tested on pumpkins a few years ago, but now it has scanned the first human brain images from 20 healthy volunteers. These stunning images show the potential of new MRI technology to reveal previously unattainable information about how the brain works, including how mental representations are encoded and the neural signals associated with consciousness.

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Isolt should also help scientists understand, diagnose and treat neurological diseases such as Alzheimer’s and Parkinson’s. The new technology can also detect chemical signatures that are usually too weak to be seen with conventional MRI scans, including molecules such as glucose and glutamate that are involved in brain metabolism and disorders that can be involved in conditions such as glioma and neurodegeneration.


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