Computation of an MRI brain atlas from a population of Parkinson's disease patients

L. Angelidakis, I. E. Papageorgiou, C. Damianou, M. N. Psychogios, P. Lingor, K. Von Eckardstein, S. Hadjidemetriou

Research output: Contribution to journalConference articlepeer-review

Abstract

Parkinson's Disease (PD) is a degenerative disorder of the brain. This study presents an MRI-based brain atlas of PD to characterize associated alterations for diagnostic and interventional purposes. The atlas standardizes primarily the implicated subcortical regions such as the globus pallidus (GP), substantia nigra (SN), subthalamic nucleus (STN), caudate nucleus (CN), thalamus (TH), putamen (PUT), and red nucleus (RN). The data were 3.0 T MRI brain images from 16 PD patients and 10 matched controls. The images used were T1-weighted (T 1 w), T2-weighted (T 2 w) images, and Susceptibility Weighted Images (SWI). The T1w images were the reference for the inter-subject non-rigid registration available from 3DSlicer. Anatomic labeling was achieved with BrainSuite and regions were refined with the level sets segmentation of ITK-Snap. The subcortical centers were analyzed for their volume and signal intensity. Comparison with an age-matched control group unravels a significant PD-related T1w signal loss in the striatum (CN and PUT) centers, but approximately a constant volume. The results in this study improve MRI based PD localization and can lead to the development of novel biomarkers.

Original languageEnglish
Article number012006
JournalJournal of Physics: Conference Series
Volume931
Issue number1
DOIs
StatePublished - 1 Dec 2017
Externally publishedYes
EventInternational Conference on Bio-Medical Instrumentation and Related Engineering and Physical Sciences 2017, BIOMEP 2017 - Athens, Greece
Duration: 12 Oct 201713 Oct 2017

Keywords

  • 3DSlicer
  • Brain 3 Tesla MRI atlas
  • Parkinsońs disease biomarkers
  • SWI
  • basal ganglia
  • neurodegeneration.
  • striatum

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