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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

  • DOI - Digital Object Identifier

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

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database