Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [I]FP-CIT SPECT images.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Dec 23, 2017

Abstract

PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT brain images to be used in the computer-aided "in vivo" confirmation of dopaminergic degeneration and therefore to assist clinical decision to diagnose Parkinson's disease.

Authors

  • Francisco P M Oliveira
    Institute for Nuclear Sciences Applied to Health (ICNAS), and Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal. francisco.oliveira@fundacaochampalimaud.pt.
  • Diogo Borges Faria
    HPP Medicina Molecular, Grupo Lenitudes Saúde, Porto, Portugal.
  • Durval C Costa
    Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal.
  • Miguel Castelo-Branco
    Institute for Nuclear Sciences Applied to Health (ICNAS), and Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
  • João Manuel R S Tavares
    Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal.

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