DocumentCode
822537
Title
Edge Detection Algorithms in Nuclear Medicine
Author
Cahill, P.T. ; Ornstein, E. ; Ho, S.L.
Author_Institution
Polytechnic Institute of New York, Brooklyn, N. Y. and New York Hospital-Cornell University Medical Center, New York, N. Y.
Volume
23
Issue
1
fYear
1976
Firstpage
555
Lastpage
559
Abstract
Camera scans of phantoms and kidneys are computer processed to extract boundaries between areas of different densities. Several methods of edge detection are critically evaluated for their ability to determine boundaries in the presence of stochastic noise. A second order polynomial fit, utilizing the nearest neighbor method was found to be the most efficient method yielding the most consistent results for varying signal to noise ratios.
Keywords
Biomedical imaging; Cameras; Floods; Image edge detection; Imaging phantoms; Laplace equations; Nearest neighbor searches; Nuclear medicine; Polynomials; Signal processing algorithms;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/TNS.1976.4328305
Filename
4328305
Link To Document