Comparative study of real-time deconvolution methods for medical imaging

Nathan Cohen; Guido V.H. Sandri

doi:10.1117/12.59543

26 June 1992 Comparative study of real-time deconvolution methods for medical imaging

Nathan Cohen, Guido V.H. Sandri

Proceedings Volume 1660, Biomedical Image Processing and Three-Dimensional Microscopy; (1992) https://doi.org/10.1117/12.59543
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

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.

Citation Download Citation

Nathan Cohen and Guido V.H. Sandri "Comparative study of real-time deconvolution methods for medical imaging", Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); https://doi.org/10.1117/12.59543

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