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The study of neurodegenerative diseases has been based for some time on visual and semi-quantitative analysis of medical imaging. This is the case of Parkinsonian Syndrome (PS) or Parkinsonism, which is the second most common neurodegenerative disorder, where ¹²³I-ioflupane (better known by its tradename, DaTSCAN) images have been of great help. Recently, new developments in machine learning methods and statistics have been applied to the analysis of medical images, yielding to a more operator-independent, objective analysis of them, and thus, setting the Computer Aided Diagnosis (CAD) paradigm. In this work, a new CAD system based on preprocessing, voxel selection, feature extraction and classification of the images is proposed. After preprocessing the images, voxels are ranked by means of their significance in class discrimination, and the first N are selected. Then, these voxels are …