Ambiguity in the solution of inverse problems arises when data are insufficient to define a unique solution (i.e., the problem is ill-posed). Data fusion has the potential to reduce this ambiguity by using other sensory data that complement the original data. This paper examines the application of data fusion to limited-angle computed tomography (CT) to resolve ambiguity. While CT in its conventional form is ill-posed with a small null space, limited-angle CT has a much larger null space. Structures that lie primarily in the null space of the limited-angle Radon transform are particularly prone to ambiguity. We describe a novel constraint-based data fusion system that fuses spatial support and ultrasound measurements with x-ray data. The ensuing problem is less ambiguous, has a reduced null space, and permits accurate reconstruction of a sandwich structure where otherwise impossible.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Complementary data fusion for limited-angle tomography


    Beteiligte:
    Boyd (Autor:in) / Little (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    640074 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Complementary Data Fusion for Limited-Angle Tomography

    Boyd, J. E. / Little, J. J. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994



    Limited Angle Tomography Using Regularized Extrapolation Technique

    Yu, K. K. R. / Yau, S. F. / IEEE; Hong Kong Chapter of Signal Processing | British Library Conference Proceedings | 1994