Nonlinear Registration for Deformation-Based Morphometry in First Episode Schizophrenia

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Authors

SCHWARZ Daniel KAŠPÁREK Tomáš

Year of publication 2006
Type Article in Proceedings
Conference Neuroimage - supplementum
MU Faculty or unit

Faculty of Medicine

Citation
Field Use of computers, robotics and its application
Keywords MRI;image processing;computational neuroanatomy
Description The methods of image registration play a crucial role in the algorithms of computational neuroanatomy. Here, a nonlinear registration method able to handle multimodal image data is designed and used for deformation based morphometry (DBM). Results of its application on real 3D medical images in the research of schizophrenia are presented.
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