Estimation of search-space in 3D coronary artery reconstruction using angiographic biplane images

    Authors

    P. Windyga; M. Garreau;J. L. Coatrieux

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Pattern Recognit. Lett.

    Keywords

    image processing; heuristic research; biplane angiography; 3D; reconstruction; search space measuring; Computer Science, Artificial Intelligence

    Abstract

    The three-dimensional reconstruction of heart arteries, using two radiographic images, is an ambiguous problem and results in multiple solutions. The correct solution can only be identified using a priori information. This work proposes a method to determine the number of possible solutions, which may be useful for the development of algorithms to solve this ambiguity problem. Our method proceeds by generating and counting all the possible solutions. Using real data, it was found that the number of solutions is moderate and an extensive search could be a feasible option at certain levels of the search process. The currently available computation power should be able to handle this solution space. (C) 1998 Published by Elsevier Science B.V. All rights reserved.

    Journal Title

    Pattern Recognition Letters

    Volume

    19

    Issue/Number

    14

    Publication Date

    1-1-1998

    Document Type

    Article

    Language

    English

    First Page

    1325

    Last Page

    1330

    WOS Identifier

    WOS:000077805300008

    ISSN

    0167-8655

    Share

    COinS