Design and testing of artifact-suppressed adaptive histogram equalization: a contrast-enhancement technique for display of digital chest radiographs

• Published in: Journal of thoracic imaging Vol. 5; no. 1; p. 85
• Main Authors: Rehm, K, Seeley, G W, Dallas, W J, Ovitt, T W, Seeger, J F
• Format: Journal Article
• Language: English
• Published: United States 01.01.1990
• Subjects: Algorithms; Arizona; Computer Systems; Equipment Design; Humans; Image Processing, Computer-Assisted - instrumentation; Image Processing, Computer-Assisted - methods; Radiographic Image Enhancement - instrumentation; Radiographic Image Enhancement - methods; Radiography, Thoracic - instrumentation; Radiography, Thoracic - methods; Arizona
• ISSN: 0883-5993
• DOI: 10.1097/00005382-199001000-00013

One of the goals of our research in the field of digital radiography has been to develop contrast-enhancement algorithms for eventual use in the display of chest images on video devices with the aim of preserving the diagnostic information presently available with film, some of which would normally be lost because of the smaller dynamic range of video monitors. The ASAHE algorithm discussed in this article has been tested by investigating observer performance in a difficult detection task involving phantoms and simulated lung nodules, using film as the output medium. The results of the experiment showed that the algorithm is successful in providing contrast-enhanced, natural-looking chest images while maintaining diagnostic information. The algorithm did not effect an increase in nodule detectability, but this was not unexpected because film is a medium capable of displaying a wide range of gray levels. It is sufficient at this stage to show that there is no degradation in observer performance. Future tests will evaluate the performance of the ASAHE algorithm in preparing chest images for video display.