TY - GEN
T1 - Influence of LCD color reproduction accuracy on observer performance using virtual pathology slides
AU - Krupinski, Elizabeth A.
AU - Silverstein, Louis D.
AU - Hashmi, Syed F.
AU - Graham, Anna R.
AU - Weinstein, Ronald S.
AU - Roehrig, Hans
N1 - Funding Information:
This work was supported in part by NIH/ARRA Grant 1R01EB007311-01A2.
Publisher Copyright:
© 2012 SPIE.
PY - 2012
Y1 - 2012
N2 - The use of color LCDs in medical imaging is growing as more clinical specialties use digital images as a resource in diagnosis and treatment decisions. Telemedicine applications such as telepathology, teledermatology and teleophthalmology rely heavily on color images. However, standard methods for calibrating, characterizing and profiling color displays do not exist, resulting in inconsistent presentation. To address this, we developed a calibration, characterization and profiling protocol for color-critical medical imaging applications. Physical characterization of displays calibrated with and without the protocol revealed high color reproduction accuracy with the protocol. The present study assessed the impact of this protocol on observer performance. A set of 250 breast biopsy virtual slide regions of interest (half malignant, half benign) were shown to 6 pathologists, once using the calibration protocol and once using the same display in its "native" off-the-shelf uncalibrated state. Diagnostic accuracy and time to render a decision were measured. In terms of ROC performance, Az (area under the curve) calibrated = 0.8640; uncalibrated = 0.8558. No statistically significant difference (p = 0.2719) was observed. In terms of interpretation speed, mean calibrated = 4.895 sec, mean uncalibrated = 6.304 sec which is statistically significant (p = 0.0460). Early results suggest a slight advantage diagnostically for a properly calibrated and color-managed display and a significant potential advantage in terms of improved workflow. Future work should be conducted using different types of color images that may be more dependent on accurate color rendering and a wider range of LCDs with varying characteristics.
AB - The use of color LCDs in medical imaging is growing as more clinical specialties use digital images as a resource in diagnosis and treatment decisions. Telemedicine applications such as telepathology, teledermatology and teleophthalmology rely heavily on color images. However, standard methods for calibrating, characterizing and profiling color displays do not exist, resulting in inconsistent presentation. To address this, we developed a calibration, characterization and profiling protocol for color-critical medical imaging applications. Physical characterization of displays calibrated with and without the protocol revealed high color reproduction accuracy with the protocol. The present study assessed the impact of this protocol on observer performance. A set of 250 breast biopsy virtual slide regions of interest (half malignant, half benign) were shown to 6 pathologists, once using the calibration protocol and once using the same display in its "native" off-the-shelf uncalibrated state. Diagnostic accuracy and time to render a decision were measured. In terms of ROC performance, Az (area under the curve) calibrated = 0.8640; uncalibrated = 0.8558. No statistically significant difference (p = 0.2719) was observed. In terms of interpretation speed, mean calibrated = 4.895 sec, mean uncalibrated = 6.304 sec which is statistically significant (p = 0.0460). Early results suggest a slight advantage diagnostically for a properly calibrated and color-managed display and a significant potential advantage in terms of improved workflow. Future work should be conducted using different types of color images that may be more dependent on accurate color rendering and a wider range of LCDs with varying characteristics.
KW - Color calibration
KW - Color displays
KW - Color management
KW - Diagnostic accuracy
KW - Pathology
UR - http://www.scopus.com/inward/record.url?scp=85076815665&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076815665&partnerID=8YFLogxK
U2 - 10.1117/12.910730
DO - 10.1117/12.910730
M3 - Conference contribution
AN - SCOPUS:85076815665
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2012
A2 - Abbey, Craig K.
A2 - Mello-Thoms, Claudia R.
PB - SPIE
T2 - Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
Y2 - 8 February 2012 through 9 February 2012
ER -