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.<>


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    Title :

    Complementary data fusion for limited-angle tomography


    Contributors:
    Boyd (author) / Little (author)


    Publication date :

    1994-01-01


    Size :

    640074 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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



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