Creating and sharing knowledge for telecommunications

Project: Alzheimer Disease: Image Analysis and Recognition

Acronym: ADIAR
Main Objective:
The goal of this project is twofold:
1. to get a deeper insight into the manifestations of Mild Cognitive Impairment (MCI) and Alzheimer 's disease (AD) both in space and time dimensions
2. to produce more accurate diagnosis tools using PET images of the brain.

In order to achieve these goals, we propose to develop automatic classification tools for PET brain images to:
1. differentiate between Alzheimer's disease (AD), Mild Cognitive Impairment (MCI), and normal control subjects (NC).
2. distinguish between MCI patients who convert to AD (MCI-C) from those who remain stable, the non-converters (MCI NC).
3. identify individual patterns of disease evolution, by assessing morphological changes along the time, based on follow up scans for each patient.
4. incorporate complementary sources of information, namely based on cognitive evaluation tests, into the diagnosis process.
Reference: PTDC/SAU-ENB/114606/2009
Funding: FCT/PTDC
Start Date: 01-02-2011
End Date: 01-07-2014
Team: Ana Luisa Nobre Fred, Andre Ribeiro Lourenco
Groups: Pattern and Image Analysis – Lx
Partners: Instituto de Sistemas e Robótica, Hospitais Privados de Portugal Medicina Molecular,
Local Coordinator: Ana Luisa Nobre Fred
Links: Internal Page
Associated Publications