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Elastic registration of biomedical images on CUDA-Supported graphics procesor units

  1. 1.
    SYSNO ASEP0347031
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleElastic registration of biomedical images on CUDA-Supported graphics procesor units
    Author(s) Michálek, Jan (FGU-C) RID
    Čapek, Martin (FGU-C) RID, ORCID
    Janáček, Jiří (FGU-C) RID, ORCID
    Kubínová, Lucie (FGU-C) RID, ORCID
    Source TitleAnalysis of biomedical signals and images. - Brno : University of technology, 2010 - ISSN 1211-412X - ISBN 978-80-214-4106-4
    Pagess. 43-48
    Number of pages6 s.
    ActionInternational EURASIP Conference Biosignal /20./
    Event date27.06.2010-29.06.2010
    VEvent locationBrno
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsvolume reconstruction ; elastic alignment ; CUDA
    Subject RIVJD - Computer Applications, Robotics
    R&D ProjectsLC06063 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    GA102/08/0691 GA ČR - Czech Science Foundation (CSF)
    GA304/09/0733 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z50110509 - FGU-C (2005-2011)
    UT WOS000303723700007
    AnnotationElastic registration is a task of finding the matching of two images, using geometric and elastic transformations, so that objects in images have the same size, position and orientation. We apply elastic registration in the framework of volume reconstruction, where an object acquired from parallel physical sections is composed and mutual positions of the sections including deformations caused by their cutting have to be found. The method lies in optimizing a functional consisting of two parts: first, discrete total variation as a measure of roughness and, second, L1 norm as a measure of dissimilarity of images. As a parallelizable optimization strategy we apply a potential-based equivalent transformation of a (max,+)-labelling problem. CUDA-based implementation of the described elastic registration algorithm is reasonably fast, requires seconds to minutes of calculations, provides good results and, thus, can be used for practical tasks dealing with alignment of biomedical images
    WorkplaceInstitute of Physiology
    ContactLucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
    Year of Publishing2011
Number of the records: 1  

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