Title

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

Authors

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