Paper
27 June 1988 Automatic, Anatomically Selective, Artifact-Free Enhancement Of Digital Chest Radiographs
M. Ibrahim Sezan, A. Murat Tekalp, Ralph Schaetzing
Author Affiliations +
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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Ibrahim Sezan, A. Murat Tekalp, and Ralph Schaetzing "Automatic, Anatomically Selective, Artifact-Free Enhancement Of Digital Chest Radiographs", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968653
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Cited by 2 scholarly publications.
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KEYWORDS
Lung

Signal detection

Image enhancement

Chest imaging

Radiography

Detection and tracking algorithms

Algorithm development

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