Detailed Information on Publication Record
2007
A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research
SCHWARZ, Daniel, Tomáš KAŠPÁREK, Ivo PROVAZNÍK and Jiří JARKOVSKÝBasic information
Original name
A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research
Name in Czech
Metoda pružné registrace pro automatickou morfometrii obrazů mozku z MRI v neuropsychiatrickém výzkumu
Authors
SCHWARZ, Daniel (203 Czech Republic, guarantor), Tomáš KAŠPÁREK (203 Czech Republic), Ivo PROVAZNÍK (203 Czech Republic) and Jiří JARKOVSKÝ (203 Czech Republic)
Edition
IEEE Transactions on Medical Imaging, New York, IEEE, 2007, 0278-0062
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30000 3. Medical and Health Sciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 3.275
RIV identification code
RIV/00216224:14110/07:00022048
Organization unit
Faculty of Medicine
UT WoS
000245599200003
Keywords in English
MRI;image processing;schizophrenia;image registration;computational neuroanatomy
Tags
International impact, Reviewed
Změněno: 29/6/2009 13:34, doc. Ing. Daniel Schwarz, Ph.D.
V originále
Image registration methods play a crucial role in computational neuroanatomy. This paper mainly contributes to the field of image registration with the use of nonlinear spatial transformations. Particularly, problems connected to matching MRI brain image data obtained from various subjects and with various imaging conditions are solved here. Registration 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. Five similarity measures are tested in an experiment with image data obtained from the Simulated Brain Database and a quantitative evaluation of the algorithm is presented. Results of application of the method in automated spatial detection of anatomical abnormalities in first-episode schizophrenia are presented.
In Czech
Článek přispívá zejméína do oblasti metod registrace medicínských obrazů s využitím nelineárních prostorových transformací. Řeší se zde problémy související s porovnávání multimodálních dat z MRI od různých subjektů. Registrace je řízena lokálními silami odvozenými z multimodální bodové podobnostní metriky, která je odhadnuta s využitím vzájmeného histogramu a tkáňových pravděpodobnostních map.
Links
| MSM0021622404, plan (intention) |
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