This research proposal addresses consistent color and consistent grayscale presentation for digital color displays used in medical image interpretation. Currently, radiographic images such as chest, bone, and mammography are usually not viewed on color monitors because the spatial resolution, contrast resolution and maximum luminance are not adequate. Evidence suggests that diagnostic accuracy for these images are affected negatively when displayed on color compared to monochrome displays. Nevertheless, color monitors are quickly entering the market for displaying grayscale and color information. In pathology and telemedicine, color displays are required because of the inherent color in pathology and dermatology images, but there are no validated methods available to reliably calibrate these color displays. A calibration protocol that includes both a grayscale and color calibration methods for color displays would benefit medical imaging greatly. The ultimate goal of this research is to develop and implement such a protocol. After revising the proposal to a duration of 2 years and a budget for a direct cost of $ 250,000 per year (or a total direct-cost of $ 500,000), the overall goal is still Consistent color and grayscale presentation for digital color displays used in medical image interpretation.

Public Health Relevance

At this time there is no generally accepted color calibration protocol available for color displays in the medical imaging arena. It is the objective of this proposed project to achieve such a color calibration protocol.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
1R01EB007311-01A2
Application #
7580321
Study Section
Special Emphasis Panel (ZRG1-SBIB-P (02))
Program Officer
Cohen, Zohara
Project Start
2009-08-15
Project End
2011-07-30
Budget Start
2009-08-15
Budget End
2010-07-30
Support Year
1
Fiscal Year
2009
Total Cost
$326,438
Indirect Cost
Name
University of Arizona
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721
Krupinski, Elizabeth A; Silverstein, Louis D; Hashmi, Syed F et al. (2012) Observer performance using virtual pathology slides: impact of LCD color reproduction accuracy. J Digit Imaging 25:738-43