Diffusion magnetic resonance imaging (MRI) is a medical imaging approach typically used to map the white matter fibers of the brain.
The white matter of the brain, as opposed to the more commonly known grey matter, contains the nerve fibers that connect various regions of the brain. These fibers are often called the information superhighways of the brain.
Diffusion MRI is a relatively new medical imaging modality, with a great deal of active research. Recent studies have shown that mapping the white matter of the brain, and examining changes over time, can be highly useful for studying, treating and potentially predicting neurodegenerative diseases, such as Alzheimer’s.
Kagenova’s AI technology has recently been applied to recover white matter fibre directions and tracts in the brain from the raw data acquired by a diffusion MRI scanner. This work is presented in a recent article published in Computational Diffusion MRI, which you can find here.
In this article it was shown that Kagenova’s AI techniques:
“… offer distinct advantages over conventional fully-connected networks at estimating scalar parameters of tissue microstructure from diffusion MRI.”