20 March 2014 Does the choice of display system influence perception and visibility of clinically relevant features in digital pathology images?
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Abstract
Digital pathology systems typically consist of a slide scanner, processing software, visualization software, and finally a workstation with display for visualization of the digital slide images. This paper studies whether digital pathology images can look different when presenting them on different display systems, and whether these visual differences can result in different perceived contrast of clinically relevant features. By analyzing a set of four digital pathology images of different subspecialties on three different display systems, it was concluded that pathology images look different when visualized on different display systems. The importance of these visual differences is elucidated when they are located in areas of the digital slide that contain clinically relevant features. Based on a calculation of dE2000 differences between background and clinically relevant features, it was clear that perceived contrast of clinically relevant features is influenced by the choice of display system. Furthermore, it seems that the specific calibration target chosen for the display system has an important effect on the perceived contrast of clinically relevant features. Preliminary results suggest that calibrating to DICOM GSDF calibration performed slightly worse than sRGB, while a new experimental calibration target CSDF performed better than both DICOM GSDF and sRGB. This result is promising as it suggests that further research work could lead to better definition of an optimized calibration target for digital pathology images resulting in a positive effect on clinical performance.
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Tom Kimpe, Johan Rostang, Ali Avanaki, Kathryn Espig, Albert Xthona, Ioan Cocuranu, Anil V. Parwani, Liron Pantanowitz, "Does the choice of display system influence perception and visibility of clinically relevant features in digital pathology images?", Proc. SPIE 9041, Medical Imaging 2014: Digital Pathology, 904109 (20 March 2014); doi: 10.1117/12.2042771; https://doi.org/10.1117/12.2042771
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