Context-dependent enhancements for radiological images

Journal of Digital Imaging
B PlessisN Hickey

Abstract

Many techniques have been proposed to enhance radiographic images and each of them may be optimal depending upon the circumstances. However, the problem confronting the radiologist or the physician is which enhancement to use and how to select the parameters when a specific feature is to be emphasized. At the University of Ottawa, our research work is oriented towards automatic context-dependent enhancements. Our approach attempts to match the three phases involved in viewing a radiograph: getting a global impression, analyzing the objects and the local features, and focusing on the image perturbations. In this article, we report on enhancements to support the first two phases in the case of chest radiographs and on the applicability of gray level reversal transformations.

References

Nov 1, 1987·Radiographics : a Review Publication of the Radiological Society of North America, Inc·C F Nodine, H L Kundel
Apr 1, 1985·The British Journal of Radiology·R L Smathers, W R Brody
Mar 1, 1986·Investigative Radiology·H P McAdamsC E Ravin
Jan 1, 1987·IEEE Transactions on Medical Imaging·R H Sherrier, G A Johnson

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Citations

Nov 1, 1990·Journal of Digital Imaging·U P Schmiedl, A H Rowberg
Jul 1, 1993·Journal of Psychoactive Drugs·E P Larrat, S Zierler
Mar 20, 1993·Annals of the New York Academy of Sciences·J V Giorgi
Mar 2, 1999·American Journal of Respiratory and Critical Care Medicine·J MurrayP Godfrey-Faussett
Apr 20, 2017·Journal of Biopharmaceutical Statistics·Getachew A Dagne

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