Research and projectsGrant projects

Grant projects Modern pattern recognition methods for image data analysis in neuropsychiatric research

Coordinator Coordinator: Schwarz Daniel

Duration Duration: 2009–2011

Development of an authorised software utilisable in clinical practice for the diagnosis of selected neuropsychiatric disorders based on data from magnetic resonance imaging (MRI).

The project proposal was based on our experience with software packages that were used at that time in the neuroimaging community and on our own methodology to evaluate brain morphology in the first episode of schizophrenia. The developed software linked together the complex processing and analysis methods for 3D MRI brain images, followed by an evaluation apparatus based on recognition methods and machine learning. This led to the development of a new tool for automated analysis of image data in the field of computational neuroanatomy which – in addition to the conventional comparison of patient populations and healthy controls and unlike the existing VBM and DBM methods – made possible a new type of evaluation of classification, even in the case of analysis of an individual subject.

  • Funding: The project was supported by the Ministry of Health of the Czech Republic within the programme “Departmental Programme of Research and Development – MH II from 2008 to 2011”. The project is registered with the identifier NS10347.
  • Brief overview of results: you can find more detailed information at