A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F07%3A00022048" target="_blank" >RIV/00216224:14110/07:00022048 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/07:PU66940 RIV/65269705:_____/07:#0000387
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research
Original language description
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 imagedata 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.
Czech name
Metoda pružné registrace pro automatickou morfometrii obrazů mozku z MRI v neuropsychiatrickém výzkumu
Czech description
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 silamiodvozenými z multimodální bodové podobnostní metriky, která je odhadnuta s využitím vzájmeného histogramu a tkáňových pravděpodobnostních map.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FH - Neurology, neuro-surgery, nuero-sciences
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Medical Imaging
ISSN
0278-0062
e-ISSN
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Volume of the periodical
26
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
452-461
UT code for WoS article
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EID of the result in the Scopus database
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