29 March 2013 Psycho-visual evaluation of image quality attributes in digital pathology slides viewed on a medical color LCD display
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Proceedings Volume 8676, Medical Imaging 2013: Digital Pathology; 86760J (2013) https://doi.org/10.1117/12.2006991
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
We investigate the effects of common types of image manipulation and image degradation on the perceived image quality (IQ) of digital pathology slides. The reference images in our study were digital images of animal pathology samples (gastric fundic glands of a dog and liver of a foal) stained with haematoxylin and eosin. The following 5 types of artificial manipulations were applied to the images, each very subtle (though visually discernible) and always one at a time: blurring, gamma modification, adding noise, change in color saturation, and JPG compression. Three groups of subjects: pathology experts (PE), pathology students (PS) and imaging experts (IE), assessed 6 IQ attributes in 72 single-stimulus trials. The following perceptual IQ attribute ratings were collected: overall IQ, blur disturbance, quality of contrast, noise disturbance, and quality of color saturation. Our results indicate that IQ ratings vary quite significantly with expertise, especially, PE and IE tend to judge IQ according to different criteria. In particular, IE seem notably more sensitive to noise than PE who, on the other side, tend to be sensitive to manipulations in color and gamma parameters. It remains an important question for future research to examine the impact of IQ on the diagnostic performance of PE. That should support our present findings in suggesting directions for further development of the numerical IQ metrics for digital pathology data.
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Ljiljana Platiša, Ljiljana Platiša, Leen Van Brantegem, Leen Van Brantegem, Yves Vander Haeghen, Yves Vander Haeghen, Cédric Marchessoux, Cédric Marchessoux, Ewout Vansteenkiste, Ewout Vansteenkiste, Wilfried Philips, Wilfried Philips, } "Psycho-visual evaluation of image quality attributes in digital pathology slides viewed on a medical color LCD display", Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 86760J (29 March 2013); doi: 10.1117/12.2006991; https://doi.org/10.1117/12.2006991

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