loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2007 Frontiers in the Convergence of Bioscience and Information Technologies
Parametric Reconstruction of Boundaries and Surfaces for Medical Imaging
Jeju Island, Korea
October 11-October 13
ISBN: 978-0-7695-2999-8
ASCII Text
x 
 
Joseph Kolibal, Daniel Howard, "Parametric Reconstruction of Boundaries and Surfaces for Medical Imaging," Frontiers in the Convergence of Bioscience and Information Technologies, pp. 508-511, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007.
 
 
BibTex
x
 
@article{ 10.1109/FBIT.2007.136,
author = {Joseph Kolibal and Daniel Howard},
title = {Parametric Reconstruction of Boundaries and Surfaces for Medical Imaging},
journal ={Frontiers in the Convergence of Bioscience and Information Technologies},
volume = {0},
year = {2007},
isbn = {978-0-7695-2999-8},
pages = {508-511},
doi = {http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.136},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Frontiers in the Convergence of Bioscience and Information Technologies
TI - Parametric Reconstruction of Boundaries and Surfaces for Medical Imaging
SN - 978-0-7695-2999-8
SP508
EP511
A1 - Joseph Kolibal,
A1 - Daniel Howard,
PY - 2007
VL - 0
JA - Frontiers in the Convergence of Bioscience and Information Technologies
ER -
 
The design of a reliable, high-quality method for finding the boundary contour of a two-dimensional object, or for finding the surface of a three dimensional object in the presence of random noise poses difficulties but is essential to medical imaging applications as when the image is supporting evidence for a decision or when its analysis guides a medical procedure. Stochastic function recovery is a recently developed mathematical technology and we show that its application to this task allows for the recovery of these boundaries, even when the noise is quite excessive. The technique should be considered as one of several that is able to improve the visualization of medical images.
Citation:
Joseph Kolibal, Daniel Howard, "Parametric Reconstruction of Boundaries and Surfaces for Medical Imaging," fbit, pp.508-511, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007
Usage of this product signifies your acceptance of the Terms of Use.