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 [11C]raclopride positron emission tomography (PET) and T1-weighted magnetic resonance imaging (MRI) data. Approach. The biological heterogeneity of Parkinsonian syndromes ren...

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Detalhes bibliográficos
Autor principal: Martins, Ricardo Filipe Alves (author)
Outros Autores: Oliveira, Francisco Paulo Marques de (author), Moreira, Fradique Vieira de Almeida (author), Moreira, Ana Paula (author), Abrunhosa, Antero José Pena Afonso de (author), Santos, Maria Cristina Januário (author), Castelo-Branco, Miguel (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
11C-Raclopride positron emission tomography; Computer-aided diagnosis; Parkinsonian syndromes; machine learning; magnetic resonance imaging; multimodality imaging
Texto completo:http://hdl.handle.net/10316/94609
País:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/94609

Texto Completo

http://hdl.handle.net/10316/94609

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