Abstract :
[en] Recent advances in the process of diagnosis of neurodegenerative diseases, such as Alzheimer’s Disease, rely on the use of molecular imaging that allow the interpretation of different metabolic biomarkers in the brain. However these procedures are considered of invasive nature, as they involve the injection of radioactive markers. On the other hand, Magnetic Resonance Imaging (MRI) is perhaps the most widely used and less invasive medical imaging technique, although its ability to detect Alzheimer’s Disease has revealed limited. In this paper, a new method that simplifies the process of analysing 3D MRI brain images using a two dimensional projection is proposed. Our system outperforms other methods that use MRI, achieving up to a 86% of accuracy and significantly reducing the computational load. Additionally, it allows the visual analysis and interpretation of the images, which can be of great help in the diagnosis of this and other types of dementia.
Martínez-Murcia, Francisco Jesús; Universidad de Granada (España) = University of Granada (Spain) - UGR > Dept. of Signal Theory, Networking and Communications
Górriz, Juan Manuel; Universidad de Granada (España) = University of Granada (Spain) - UGR > Dept. of Signal Theory, Networking and Communications
Ramírez, Javier; Universidad de Granada (España) = University of Granada (Spain) - UGR > Dept. of Signal Theory, Networking and Communications
Salas-Gonzalez, Diego; Universidad de Granada (España) = University of Granada (Spain) - UGR > Dept. of Signal Theory, Networking and Communications
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