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Proceedings Paper

Context-Dependent Enhancements For Radiological Images
Author(s): B. Plessis; M. Goldberg; R. Dillon; J. Tombaugh; J. Robertson; G. Belanger; N. Hickey
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Paper 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 he wants a specified feature 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, analysing the objects and the local features and focussing on the image perturbations. In this paper, we report on enhancements to support the two first phases in the case of chest radiographs as well as on the applicability of grey level reversal transformations.

Paper Details

Date Published: 25 May 1989
PDF: 12 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953271
Show Author Affiliations
B. Plessis, Telecommunications Research Institute of Ontario (Canada)
M. Goldberg, Telecommunications Research Institute of Ontario (Canada)
R. Dillon, Carleton University (Canada)
J. Tombaugh, Carleton University (Canada)
J. Robertson, Telecommunications Research Institute of Ontario (Canada)
G. Belanger, Ottawa Civic Hospital (Canada)
N. Hickey, Ottawa Civic Hospital (Canada)


Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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