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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    Title :

    Three-dimensional image registration for spiral CT angiography


    Contributors:
    Yeung (author) / Boon-Lock Yeo (author) / Shih-Ping Liou (author) / Banihashemi (author)


    Publication date :

    1994-01-01


    Size :

    714346 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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