One of the most promising applications of 3-D ultrasound lies in the visualisation and volume estimation of internal 3-D structures. Unfortunately, artifacts and speckle make automatic analysis of the data difficult. In this paper we investigate the use of 3-D spatial compounding to improve data quality, and find that accurate registration is the key. A correlation-based registration technique is applied to 3-D ultrasound data acquired from in-vivo examinations of a human gall bladder. We find that the registration technique performs well, and visualisation and segmentation of the compounded data are clearly improved.


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    Titel :

    Automatic registration of 3-D ultrasound images


    Beteiligte:
    Rohling, R.N. (Autor:in) / Gee, A.H. (Autor:in) / Berman, L. (Autor:in)


    Erscheinungsdatum :

    01.01.1998


    Format / Umfang :

    1050185 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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