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Constrained deconvolution of SPECT liver tomograms by direct digital image restoration
Author(s) -
Webb S.,
Long A. P.,
Ott R. J.,
Leach M. O.,
Flower M. A.
Publication year - 1985
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.595735
Subject(s) - deconvolution , computer vision , image restoration , artificial intelligence , single photon emission computed tomography , image processing , computer science , iterative reconstruction , digital image processing , image (mathematics) , nuclear medicine , algorithm , medicine
Several techniques for performing digital image restoration are reviewed and the problems associated with evaluating image processing are discussed. An application of constrained deconvolution to images of the liver produced by single‐photon emission computed tomography is presented. Specific evaluation criteria are suggested and based on these, the choice of conditions best suited for processing liver images is proposed. Typically cold tumor contrast can be improved by a factor of greater than 2 whilst image mottle increases negligibly.