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Journal of Biomedicine and Biotechnology
Volume 2008, Article ID 623475, 7 pages
Research Article

Alternative Parametric Boundary Reconstruction Method for Biomedical Imaging

1Department of Mathematics, College of Science and Technology, The University of Southern Mississippi, Hattiesburg, MS 39406-0001, USA
2QinetiQ PLC, Malvern, Worcestershire, WR14 3PS, UK

Received 2 September 2007; Accepted 15 January 2008

Academic Editor: Halima Bensmail

Copyright © 2008 Joseph Kolibal and Daniel Howard. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Determining the outline or boundary contour of a two-dimensional object, or the surface of a three-dimensional object poses difficulties particularly when there is substantial measurement noise or uncertainty. By adapting the mathematical approach of stochastic function recovery to this task, it is possible to obtain usable estimates for these boundaries, even in the presence of large amounts of noise. The technique is applied to parametric boundary data and has potential applications in biomedical imaging. It should be considered as one of several techniques to improve the visualization of images.