A multi-layer MRI description of Parkinson's disease

M. La Rocca; N. Amoroso; E. Lella; R. Bellotti; S. Tangaro

doi:10.1117/12.2274169

19 September 2017 A multi-layer MRI description of Parkinson's disease

M. La Rocca, N. Amoroso, E. Lella, R. Bellotti, S. Tangaro

Proceedings Volume 10396, Applications of Digital Image Processing XL; 1039618 (2017) https://doi.org/10.1117/12.2274169
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

Magnetic resonance imaging (MRI) along with complex network is currently one of the most widely adopted techniques for detection of structural changes in neurological diseases, such as Parkinson's Disease (PD). In this paper, we present a digital image processing study, within the multi-layer network framework, combining more classifiers to evaluate the informative power of the MRI features, for the discrimination of normal controls (NC) and PD subjects. We define a network for each MRI scan; the nodes are the sub-volumes (patches) the images are divided into and the links are defined using the Pearson's pairwise correlation between patches. We obtain a multi-layer network whose important network features, obtained with different feature selection methods, are used to feed a supervised multi-level random forest classifier which exploits this base of knowledge for accurate classification. Method evaluation has been carried out using T1 MRI scans of 354 individuals, including 177 PD subjects and 177 NC from the Parkinson's Progression Markers Initiative (PPMI) database. The experimental results demonstrate that the features obtained from multiplex networks are able to accurately describe PD patterns. Besides, also if a privileged scale for studying PD disease exists, exploring the informative content of more scales leads to a significant improvement of the performances in the discrimination between disease and healthy subjects. In particular, this method gives a comprehensive overview of brain regions statistically affected by the disease, an additional value to the presented study.

Conference Presentation

Citation Download Citation

M. La Rocca, N. Amoroso, E. Lella, R. Bellotti, and S. Tangaro "A multi-layer MRI description of Parkinson's disease", Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039618 (19 September 2017); https://doi.org/10.1117/12.2274169

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available