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Proceedings Paper

Statistically Weighted Non-Local Method of Iterative Digital Image Processing
Author(s): Hiram E. Hart
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Paper Abstract

A direct non-local iterative deconvolution method (NLM) employing the algorithm has been developed and successfully applied to tomographic radioisotopic tissue concentration imaging: PSRF are the point source response functions of the measurement system, (x,y,z) are the coordinates of the tissue element, and D(X,Y,Z) are the data elements corresponding to the measurement system indexing coordinates (X,Y,Z). High resolution determination of radioisotopic tissue concentrations on a scale aproximating the pixel spacing are routinely achieved even with relatively broad PSRF's and even though the individual data elements necessarily reflect a significant degree of radioisotopic statistical fluctuation. NLM converges to the correct high resolution source distributions with ideal and/or randomized data over a much wider range of conditions than the Gauss-Seidel method of iterative deconvolution. Comparative results will be presented.

Paper Details

Date Published: 9 January 1984
PDF: 9 pages
Proc. SPIE 0432, Applications of Digital Image Processing VI, (9 January 1984); doi: 10.1117/12.936649
Show Author Affiliations
Hiram E. Hart, City College of New York (United States)


Published in SPIE Proceedings Vol. 0432:
Applications of Digital Image Processing VI
Andrew G. Tescher, Editor(s)

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