Tommaso Quario
Learning-Based Head Model Similarity Estimation for MRI-Free Brain Imaging.
Rel. Francesco Paolo Andriulli, Adrien Merlini, Clement Henry. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
Abstract
Numerous imaging techniques can be used to investigate the brain and its behavior, each with its strengths and its weaknesses. Among these we highlight Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG). MRI allows us to observe the physical architecture of the brain, it has great spatial resolution, but its low temporal resolution often limits the functional information it can provide. MRI machines are also expensive and quite cumbersome, to the point that most research centers do not possess their own. These machines are usually bought by large clinics to serve a variety of patients with different conditions. This can lead to long waiting lists and delays, not to mention heavy costs due to the inherent price charged by these institutions for the usage of the equipment.
EEG is instead capable of characterizing the electrical behavior of the brain with a high temporal resolution, and at a comparatively low cost
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