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Registration of FA and T1-weighted MRI Data of Healthy Human Brain based on Template Matching and Normalized Cross-correlation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU101581" target="_blank" >RIV/00216305:26220/12:PU101581 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Registration of FA and T1-weighted MRI Data of Healthy Human Brain based on Template Matching and Normalized Cross-correlation

  • Original language description

    Image registration is an essential process in a large range of medical image applications helping medical experts to increase the structural information and describe mutual relations between images. In a human brain studies it is a crucial step to spatially align diffusion tensor images (DTI) and anatomy data to quantitatively compare neural and structure features obtained from the same subject at different time-points. In this paper we propose a registration workflow for a reliable alignment of diffusion weighted fractional anisotropy (FA) images and T1-weighted high-resolution anatomical images of more than hundred subjects. Use of Template matching algorithm yields the robust inner subject registration and speed up of the registration process whichhelps in better assess of structural and functional brain connectivity. This method has been compared with well-known B-spline multiresolution registration algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JOURNAL OF DIGITAL IMAGING

  • ISSN

    0897-1889

  • e-ISSN

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

  • EID of the result in the Scopus database