Paper
1 May 1992 Comparison of clinical findings between intensity-windowed versus CLAHE presentations of chest CT images
Bradley M. Hemminger, Richard Eugene Johnston, Keith E. Muller, D. Taylor, J. Matthew Mauro, M. Schiebler, Etta D. Pisano
Author Affiliations +
Abstract
We are investigating how radiologists's readings of standard intensity windowed (IW) chest computed tomography (CT) films compare with readings of the same images processed with contrast limited adaptive histogram equalization (CLAHE). Previously reported studies where CLAHE has been tested have involved detection of computer generated targets in medical images. Our study is designed to evaluate CLAHE when applied to clinical material and to compare the diagnostic information perceived by the radiologists from CLAHE processed images to that from the conventional IW images. Our initial experiment with two radiologists did not yield conclusive results, due in part, to inadequate observer training prior to the experiment. The initial experimental protocol was redesigned to include more in-depth training. Three new radiologist observers were recruited for the follow-up study. Results from the initial study are reviewed and the follow-up study is presented. In the new study we find that while CLAHE and IW are not statistically significantly different overall, there are specific clinical findings where the radiologists were less comfortable reading CLAHE presentations. Advantages and disadvantages of using CLAHE as a replacement or as an adjunct to IW are discussed.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bradley M. Hemminger, Richard Eugene Johnston, Keith E. Muller, D. Taylor, J. Matthew Mauro, M. Schiebler, and Etta D. Pisano "Comparison of clinical findings between intensity-windowed versus CLAHE presentations of chest CT images", Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); https://doi.org/10.1117/12.59496
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Chest

Lung

Computed tomography

Image processing

Liver

Data analysis

Error analysis

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