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Analysis and correction of imperfections in the image intensifier–TV–digitizer imaging chain
Author(s) -
Boone John M.,
Seibert J. Anthony,
Barrett William A.,
Blood Eric A.
Publication year - 1991
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 - 10.1118/1.596718
Subject(s) - image intensifier , computer science , computer vision , distortion (music) , artifact (error) , artificial intelligence , software , residual , grayscale , image processing , optics , image (mathematics) , physics , algorithm , amplifier , computer network , bandwidth (computing) , programming language
Image intensifier–television–video digitizer (IITVD) systems are commonly used for digital planar image acquisition in radiology. However, the well‐known distortions inherent in these systems limit their utility in research and in some clinical applications where quantitatively correct images are required. Software correction techniques have been implemented which restore both the spatial and grey scale quantitative integrity, allowing IITVD systems to be used as analytical research tools. Previously reported and novel correction techniques were used to reduce veiling glare, pincushion distortion, dc bias, and residual shading effects. The results indicate that excellent quantitative integrity can be achieved when these straightforward artifact reduction techniques are employed.