Some medical interventions require knowing the correspondence between an MRI/CT pre-operative image and the actual position of the patient. Examples occur in neurosurgery, radiotherapy, interventional radiology, but also in video surgery (laparoscopy). We present in this article three new techniques for performing this task without artificial markers. We find the 3D-2D projective transformation (composition of a rigid displacement and a perspective projection) which maps a 3D object onto a 2D image of this object. Depending on the object model (curve or surface), and on the 2D image acquisition system (X-Ray, video), the techniques are different but the framework is common. It does not depend on the initial relative positions of the objects and deals with the occlusions and the outliers. Results are presented on real medical data to demonstrate the validity of our approach.<>


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    Titel :

    3D-2D projective registration of free-form curves and surfaces


    Beteiligte:
    Feldmar, J. (Autor:in) / Ayache, N. (Autor:in) / Betting, F. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    887877 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    3D-2D Projective Registration of Free-Form Curves and Surfaces

    Feldmar, J. / Ayache, N. / Betting, F. et al. | British Library Conference Proceedings | 1995


    3D-2D Projective Registration of Free-Form Curves and Surfaces

    Feldmar, J. / Ayache, N. / Betting, F. | British Library Online Contents | 1997


    Iterative Point Matching for Registration of Free-Form Curves and Surfaces

    Zhang, Z. | British Library Online Contents | 1994



    Localy Affine Registration of Free-Form Surfaces

    Feldmar, J. / Ayache, N. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994