Improved automatic morphology-based classification of Parkinson’s disease

Parkinsonian syndromes encompass a spectrum of neurodegenerative diseases, which can be classified into various subtypes. The differentiation of these subtypes is typically challenging. The aim of this project is to develop image-based classification methods of patients with Parkinson’s disease on diffusion-tensor magnetic resonance imaging (MRI).

schematic
schematic

Publications

Aron S. Talai, Zahinoor Ismail, Jan Sedlacik, Kai Boelmans, Nils D. Forkert: Improved automatic morphology-based classification of Parkinson’s disease and progressive supranuclear palsy - Richardson's syndrome. Clinical Neuroradiology, 29(4), 605-614, 2019.


Aron S. Talai, Jan Sedlacik, Kai Boelmans, Nils D. Forkert: Widespread diffusion changes differentiate Parkinson's disease and progressive supranuclear palsy. NeuroImage: Clinical, 20, 1037-1043, 2018.
 

 

Team members

  • Aron S. Talai

  • Nils D. Forkert