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Proceedings Paper

Comparative study of real-time deconvolution methods for medical imaging
Author(s): Nathan Cohen; Guido V.H. Sandri
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Paper Abstract

We report an analysis of the relative time scales and accuracies attainable with three deconvolution methods which may be implemented in real-time deconvolution schemes. These methods are: iterative point deconconvolution, maximum entropy method, and the method of hyperdistributions. The first method is considerably faster, and its artifacts may be mitigated by comparison masking. However, although it replicates morphology well, it is not photometric -- it does not derive peak intensities with high accuracy. If these three methods are indications of computational efficiency for deconvolution, it is likely that iterative point deconvolution will dominate cost-effective strategies for deblurring in real-time modalities.

Paper Details

Date Published: 26 June 1992
PDF: 7 pages
Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); doi: 10.1117/12.59543
Show Author Affiliations
Nathan Cohen, Boston Univ. (United States)
Guido V.H. Sandri, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 1660:
Biomedical Image Processing and Three-Dimensional Microscopy
Raj S. Acharya; Carol J. Cogswell; Dmitry B. Goldgof, Editor(s)

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