Classification of 3-D MRI Images Based on Spatial Deformations in The Schizophrenia Research
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Proceedings |
| Conference | Technical Compuning Prague 2009, 17th Annual Conference Proceedings |
| MU Faculty or unit | |
| Citation | |
| Web | http://dsp.vscht.cz/konference_matlab/MATLAB09/ |
| Field | Use of computers, robotics and its application |
| Keywords | principal component analysis;centroid method;average linkage;MRI;schizophrenia;computational neuroanatomy |
| Description | Automatic classification of schizophrenia patients and healthy controls based on their 3-D MRI deformation images is introduced here. The image data are reduced by 2DPCA to avoid high computational expenses. Consecutively, reduced data are classified into the two groups according to the centroid method or the average linkage method. The results show that the algorithm gives better results while using the average linkage method than the centroid method. The main advantage of the algorithm lies in its low memory and time requirements. |
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