Publication details

Nonlinear Registration For Automatic Morphometry In Schizophrenia

Authors

SCHWARZ Daniel KAŠPÁREK Tomáš PROVAZNÍK Ivo

Year of publication 2006
Type Article in Proceedings
Conference Analysis of Biomedical Signals and Images - Proceedings of 18th Biennal International Eurasip Conference BIOSIGNAL 2006
MU Faculty or unit

Faculty of Medicine

Citation
Field Use of computers, robotics and its application
Keywords image processing,MRI,brain,image registration
Description A nonlinear registration method able to handle multimodal image data is designed and used for deformation based morphometry in 3D structural MRI brain scans. The registration process is driven by local forces derived from multimodal point similarity measures which are estimated with the use of joint intensity histogram and tissue probability maps. A spatial deformation model imitating principles of continuum mechanics is used. Results of application of the method in automated spatial detection of anatomical abnormalities in first episode schizophrenia are presented.

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