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Automatic anatomically selective image enhancement in digital chest radiography

Journal Article · · IEEE Transactions of Medical Imaging; (USA)
DOI:https://doi.org/10.1109/42.24863· OSTI ID:5157877
 [1];  [2];  [3]
  1. Eastman Kodak Research Labs., Rochester, NY (USA)
  2. Schlumberger-Doll Research (US)
  3. Diversified Technologies Research Labs., Eastman Kodak Co., Rochester, NY (US)
The authors develop a technique for automatic anatomically selective enhancement of digital chest radiographs. Anatomically selective enhancement is motivated by the desire to simultaneously meet the different enhancement requirements of the lung field and the mediastinum. A recent peak detection algorithm and a set of rules are applied to the image histogram to determine automatically a gray-level threshold between the lung field and mediastinum. The gray-level threshold facilitates anatomically selective gray-scale modification and/or unsharp masking. Further, in an attempt to suppress possible white-band or black-band artifacts due to unsharp masking at sharp edges, local-contrast adaptivity is incorporated into anatomically selective unsharp masking by designing an anatomy-sensitive emphasis parameter which varies asymmetrically with positive and negative values of the local image contrast.
OSTI ID:
5157877
Journal Information:
IEEE Transactions of Medical Imaging; (USA), Journal Name: IEEE Transactions of Medical Imaging; (USA) Vol. 8:2; ISSN 0278-0062; ISSN ITMID
Country of Publication:
United States
Language:
English