A major drawback of medical image registration techniques is the performance bottleneck associated with similarity computation. Such bottlenecks limit registration applications in situations where fast execution times are required. In this paper a novel framework for high performance intensity-based medical image registration is presented. Geometric alignment of both reference and sensed images is achieved through a combination of scaling, translation, and rotation. Crucially, similarity computation is performed intelligently by knowledge sources (KSs) organised in a worker/manager model. The KSs work in parallel and communicate with each other by means of a distributed blackboard architecture. Partitioning of the blackboard is used to balance communication and processing workloads. The registration framework presented demonstrates the flexibility of the coarse-grained parallelism employed and shows how high performance medical image registration can be achieved with non-specialised architectures. Experimental results obtained during testing show that substantial speedups can be achieved.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    High Performance Medical Image Registration Using a Distributed Blackboard Architecture


    Contributors:


    Publication date :

    2007-04-01


    Size :

    5953274 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Distributed knowledge-based shop floor control center based on a blackboard architecture

    Albayrak,S. / Krallmann,H. / Drewes,B. et al. | Automotive engineering | 1990


    A distributed blackboard system for traffic control

    Gilmore, J.F. / Elibiary, K.J. / Forbes, H.C. | Tema Archive | 1994


    A Blackboard Architecture for Coordination of Multiple Robots

    Janabi-Sharifi, F. / Canadian Society for Mechanical Engineering | British Library Conference Proceedings | 1998


    REACT: Cooperating Expert Systems Via A Blackboard Architecture

    Rosenking, Jeffrey P. / Roth, Stefan P. | SPIE | 1988


    Movable stand blackboard

    HWANG CHAN YEON | European Patent Office | 2019

    Free access