This paper presents a 3D image registration approach to 3D CT angiography (CTA). We extend the interest operator from 2D to 3D in order to extract 3D feature points and develop a 3D image flow algorithm to find matches of feature points between the mask and the contrast data sets. A robust 3D motion estimation algorithm is also developed which handles outliers up to 50% of all computed image flow vectors. The subtracted volume after motion correction is rendered on the display. The proposed algorithm has been successfully applied to a clinical CTA data set and the result is very promising.<>


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    Titel :

    Three-dimensional image registration for spiral CT angiography


    Beteiligte:
    Yeung (Autor:in) / Boon-Lock Yeo (Autor:in) / Shih-Ping Liou (Autor:in) / Banihashemi (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    714346 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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