Skip to Main content Skip to Navigation
Conference papers

Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patients

Verónica Muñoz Ramírez 1, 2 Florence Forbes 1 Julyan Arbel 1 Alexis Arnaud 1 Michel Dojat 2 
1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Abstract : Currently there is an important delay between the onset of Parkinson's disease and its diagnosis. The detection of changes in physical properties of brain structures may help to detect the disease earlier. In this work, we propose to take advantage of the informative features provided by quantitative MRI to construct statistical models representing healthy brain tissues. This allows us to detect atypical values for these features in the brain of Parkinsonian patients. We introduce mixture models to capture the non-standard shape of the data multivariate distribution. Promising preliminary results demonstrate the potential of our approach in discriminating patients from controls and revealing the subcortical structures the most impacted by the disease.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Florence Forbes Connect in order to contact the contributor
Submitted on : Thursday, June 27, 2019 - 7:11:19 PM
Last modification on : Friday, February 4, 2022 - 3:25:21 AM


Files produced by the author(s)




Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat. Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patients. ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. pp.1-4, ⟨10.1109/ISBI.2019.8759544⟩. ⟨hal-01970682v2⟩



Record views


Files downloads