< Back to previous page


Multimodal view on brain connectivity with simultaneous PET/MR

In 2015 , the first simultaneous time-of-flight PET/MR scanner in Belgium (and only the fifth in Europe) was installed in Leuven for clinical use. Besides the huge clinical potential, new developments in multimodal image analysis can provide additional understandings into neurodegenerative disorders that were not clearly feasible with just one modality alone by exploiting the complementary nature of combined PET/MR imaging.  In concreto, the objective is to combine structural (SC) and functional (FC) connectivity information derived from multiparametric MR data with the simultaneous acquired metabolic connectivity (MC) information from PET. A graph approach is intended, representing the brain as a network constituted by nodes (parcellated brain regions) and edges expressing the connection strength between the nodes. SC, FC and MC graphs will constructed and metrics describing network topology will be derived. By embedding the brain connectivity graphs in a machine learning framework, the early diagnosis of neurodegenerative disorders will be facilitated. In addition, longitudinal data will be provided, such that a deeper understanding of disease progression will be obtained by investigating how network parameters change over time.

Date:1 Feb 2016 →  31 Dec 2020
Keywords:Brain connectivity, Graph embedding, Multimodal PET(/MR) data
Disciplines:Scientific computing, Bioinformatics and computational biology, Public health care, Public health services
Project type:PhD project