Over the past 40 years, various imaging techniques for observing the human body have been developed. Some of these enable us to precisely and non-invasively observe the brain without opening the skull by resorting to radiation (X-rays, the detection of injected radioactive products, etc.), electrical activity, or, more recently, magnetic fields. At the same time, recent advances in computer science have facilitated a quantum leap in data and image analysis. Brain imaging thus faces several challenges, from visualizing different brain structures to observing their functioning ability and interactions. Today, increasingly advanced acquisition systems are being proposed to gain resolution and functionality, and artificial intelligence technologies are progressively being developed to analyze complex mechanisms.
This Special Issue aims to highlight these advances, which will make it possible to improve the early and precise diagnosis of certain pathologies, better understand their evolution and repercussions on the brain, and better select personalized and participative therapies.
Prof. Dr. Christine Fernandez-Maloigne
Prof. Dr. Rémy Guillevin
Guest Editors
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https://www.mdpi.com/journal/bioengineering/special_issues/0560D877XQ#mdpibioengineering
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