SCHWARZ, Daniel, Tomáš KAŠPÁREK a Ivo PROVAZNÍK. Nonlinear Registration For Automatic Morphometry In Schizophrenia. In Analysis of Biomedical Signals and Images - Proceedings of 18th Biennal International Eurasip Conference BIOSIGNAL 2006. Brno: VUTIUM Press. s. 245-247. ISBN 80-214-2120-7. 2006.
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Základní údaje
Originální název Nonlinear Registration For Automatic Morphometry In Schizophrenia
Název česky Nelineární registrace pro automatickou morfometrii u schizofrenie
Autoři SCHWARZ, Daniel, Tomáš KAŠPÁREK a Ivo PROVAZNÍK.
Vydání Brno, Analysis of Biomedical Signals and Images - Proceedings of 18th Biennal International Eurasip Conference BIOSIGNAL 2006, od s. 245-247, 3 s. 2006.
Nakladatel VUTIUM Press
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
Organizační jednotka Lékařská fakulta
ISBN 80-214-2120-7
Klíčová slova anglicky image processing,MRI,brain,image registration
Štítky image processing,MRI,brain,image registration
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: doc. Ing. Daniel Schwarz, Ph.D., učo 195581. Změněno: 28. 7. 2008 13:18.
Anotace
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.
Anotace česky
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.
VytisknoutZobrazeno: 19. 4. 2024 13:28