Alessandro Mascherin
On an Computationally Empowered Virtual Reality System for Real Time Intracranial Neuronavigation.
Rel. Francesco Paolo Andriulli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019
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Abstract
Physiological and electrical information about the brain can be obtained via a wide array of techniques such as the Electroencephalography (EEG), the Positron Emission Tomography (PET), Magnetic Resonance imaging (MRI) and Functional MRI (fMRI) which all have their trade-offs. One of the most popular acquisition techniques used both for research and for clinical application is the EEG which is an affordable and noninvasive technology that measures the electric potential on the scalp of the subject by means of a set of electrodes. The EEG is also used for EEG source imaging (ESI) which aims at computing the intracranial electrical activity from the electric potential measured on the surface of the head.
The source imaging problem can be split into two key sub-problems, the forward problem (FP) and the inverse problem (IP)
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