Thursday, 21 February 2019

Features' patient detection in relation with the Magnetoencephalography (MEG)


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Laurent ENGELS - Nadine WARZEE

Project Description

Magnetoencephalography (MEG)[1] is an imaging technique used to measure the magnetic fields produced by electrical activity in the brain via extremely sensitive devices such as superconducting quantum interference devices (SQUIDs). These measurements are commonly used in both research and clinical settings. There are many uses for the MEG, including assisting surgeons in localizing a pathology, assisting researchers in determining the function of various parts of the brain, neurofeedback, and others.

When a patient must pass a clinical examination, a preparation step before the use of the MEG must be carried out. This step consists in locating particular points of the head of the patient, but also the position of various coils and the electrocap which the patient carries. The acquistion is currently made with a Polhemus FastPoint. Since they are many points to take during this acquisition and each acquisition is made manually, this step is very time consuming but can also introduce inaccuracies.

The goal of this project is to provide a fast and accurate system to detect and localize those different features.

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