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Proceedings Paper

Color calibration and color-managed medical displays: does the calibration method matter?
Author(s): Hans Roehrig; Kelly Rehm; Louis D. Silverstein; William J. Dallas; Jiahua Fan; Elizabeth A. Krupinski
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Paper Abstract

Our laboratory has investigated the efficacy of a suite of color calibration and monitor profiling packages which employ a variety of color measurement sensors. Each of the methods computes gamma correction tables for the red, green and blue color channels of a monitor that attempt to: a) match a desired luminance range and tone reproduction curve; and b) maintain a target neutral point across the range of grey values. All of the methods examined here produce International Color Consortium (ICC) profiles that describe the color rendering capabilities of the monitor after calibration. Color profiles incorporate a transfer matrix that establishes the relationship between RGB driving levels and the International Commission on Illumination (CIE) XYZ (tristimulus) values of the resulting on-screen color; the matrix is developed by displaying color patches of known RGB values on the monitor and measuring the tristimulus values with a sensor. The number and chromatic distribution of color patches varies across methods and is usually not under user control. In this work we examine the effect of employing differing calibration and profiling methods on rendition of color images. A series of color patches encoded in sRGB color space were presented on the monitor using color-management software that utilized the ICC profile produced by each method. The patches were displayed on the calibrated monitor and measured with a Minolta CS200 colorimeter. Differences in intended and achieved luminance and chromaticity were computed using the CIE DE2000 color-difference metric, in which a value of ▵E = 1 is generally considered to be approximately one just noticeable difference (JND) in color. We observed between one and 17 JND's for individual colors, depending on calibration method and target.

Paper Details

Date Published: 3 March 2010
PDF: 13 pages
Proc. SPIE 7627, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment, 76270K (3 March 2010); doi: 10.1117/12.845044
Show Author Affiliations
Hans Roehrig, The Univ. of Arizona (United States)
Kelly Rehm, The Univ. of Arizona (United States)
Louis D. Silverstein, VCD Sciences, Inc. (United States)
William J. Dallas, The Univ. of Arizona (United States)
Jiahua Fan, GE Healthcare (United States)
Elizabeth A. Krupinski, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 7627:
Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment
David J. Manning; Craig K. Abbey, Editor(s)

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