Project information

Moderní metody rozpoznávání pro analýzu obrazových dat v neuropsychiatrickém výzkumu

Project Identification
NS10347
Project Period
7/2009 - 12/2011
Investor / Pogramme / Project type
Ministry of Health of the CR
MU Faculty or unit
Institute of Biostatistics and Analyses
Keywords
image processing, computational neuroanatomy, deformable registration, pattern recognition, MRI

Creation of authorized software usable in clinical practice for computer diagnosis of neuropsychiatric disorders of MRI brain images. The project proposal is based on experience with existing software packages that are currently used in the neuroimaging community and on its own methodology to evaluate brain morphology in first episode schizophrenia. Planned software, which is the main subject of the project will link together the complex processing and analysis methods for 3-D MRI brain images, followed by an evaluation apparatus based on the methods of recognition and machine learning. This will provide a new tool for automated analysis of image data in the field of computational neuroanatomy, which unlike existing methods, VBM and DBM in addition to the conventional comparison of patient populations and healthy controls, a new type of evaluation of classification, even in the case of individual subject analysis.

Results

The main expected outcome is an authorized software usable in clinical practice for computer diagnosis of neuropsychiatric disorders. It is also expected the publishing of the results in impact journals

Publications

Total number of publications: 15


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