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Proceedings Paper

Automatic, Anatomically Selective, Artifact-Free Enhancement Of Digital Chest Radiographs
Author(s): M. Ibrahim Sezan; A. Murat Tekalp; Ralph Schaetzing
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Paper Abstract

We propose a technique for automatic, anatomically selective, artifact-free enhancement of digital chest radiographs. Anatomically selective enhancement is motivated by the different enhancement requirements of the lung field and the mediastinum. A recent peak detection algorithm is applied to the image histogram to automatically determine a gray-level threshold between the lung and mediastinum fields. The gray-level threshold facilitates anatomically selective gray-scale modification and unsharp masking. Further, in an attempt to suppress possible white-band artifacts due to unsharp mask-ing at sharp edges, local-contrast adaptivity is incorporated into anatomically selective unsharp masking by designing an anatomy-sensitive emphasis parameter that varied asymmetrically with positive and negative values of the local image contrast.

Paper Details

Date Published: 27 June 1988
PDF: 7 pages
Proc. SPIE 0914, Medical Imaging II, (27 June 1988); doi: 10.1117/12.968653
Show Author Affiliations
M. Ibrahim Sezan, Eastman Kodak Company (United States)
A. Murat Tekalp, University of Rochester (United States)
Ralph Schaetzing, Eastman Kodak Company (United States)

Published in SPIE Proceedings Vol. 0914:
Medical Imaging II
Samuel J. Dwyer; Roger H. Schneider; Samuel J. Dwyer; Roger H. Schneider; Roger H. Schneider; Samuel J. Dwyer, Editor(s)

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