Computer-aided diagnosis of Parkinson's disease based on [(123)I]FP-CIT SPECT binding potential images, using the voxels-as-features approach and support vector machines.

@article{Oliveira2015ComputeraidedDO,
  title={Computer-aided diagnosis of Parkinson's disease based on [(123)I]FP-CIT SPECT binding potential images, using the voxels-as-features approach and support vector machines.},
  author={Francisco P M Oliveira and Miguel Castelo-Branco},
  journal={Journal of neural engineering},
  year={2015},
  volume={12 2},
  pages={026008}
}
OBJECTIVE The aim of the present study was to develop a fully-automated computational solution for computer-aided diagnosis in Parkinson syndrome based on [(123)I]FP-CIT single photon emission computed tomography (SPECT) images. APPROACH A dataset of 654 [(123)I]FP-CIT SPECT brain images from the Parkinson's Progression Markers Initiative were used. Of these, 445 images were of patients with Parkinson's disease at an early stage and the remainder formed a control group. The images were pre… CONTINUE READING

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