A parallel algorithm for 3D reconstruction of angiographic images

    Authors

    R. Rivas; M. B. Ibanez; Y. Cardinale;P. Windyga

    Comments

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    Keywords

    Computer Science, Interdisciplinary Applications; Computer Science, ; Theory & Methods

    Abstract

    Accurate diagnosis and therapeutic evaluation of coronary dysfunction is possible by tri-dimensional (3D) visualization of Coronary arteries. Reconstruction based on bi-dimensional (2D) images can be presented as a discrete optimization problem. A blind search cannot be applied, instead a Branch-and-Bound algorithm is used to explore the state space and give an intermediate result. The heuristic information used is based on knowledge based filtering in coronagraphy. A sequential algorithm using suitable filters leads to implementations where the execution time is measured in days. In order to minimize the execution time we propose to apply parallel computing techniques. The critical issue in parallel search algorithms is the distribution of the search space among the processors. We propose a technique to compute the total amount of work units among the processors. The technique is based on the enlargement of segments (unitary threads) representing pieces of arteries. We achieve a good load balancing and the speedup obtained is nearly optimum.

    Journal Title

    High-Performance Computing and Networking, Proceedings

    Volume

    1593

    Publication Date

    1-1-1999

    Document Type

    Article

    Language

    English

    First Page

    168

    Last Page

    177

    WOS Identifier

    WOS:000088252100019

    ISSN

    0302-9743; 3-540-65821-1

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