Automatic classification of idiopathic Parkinson’s disease and atypical Parkinsonian syndromes combining [¹¹C]raclopride PET uptake and MRI grey matter morphometry

Objective. To explore the viability of developing a computer-aided diagnostic system for Parkinsonian syndromes using dynamic [ 11 C]raclopride positron emission tomography (PET) and T1-weighted magnetic resonance imaging (MRI) data. Approach. The biological heterogeneity of Parkinsonian syndromes renders their statistical classification a challenge. The unique combination of structural and molecular imaging data allowed different classifier...