Paper
16 September 1985 Perceptual Standardization
R. E. Johnston, J. B. Zimmerman, D. C. Rogers, S. M. Pizer
Author Affiliations +
Abstract
Electronic displays are becoming a common and essential modality for the presentation of medical images. With the implementation of PACS, we anticipate that physicians may rely even more on electronic displays. Without system-by-system adjustments however, a given stored image will not produce the same display on all devices but rather, will be a function of the individual characteristics of the particular display device. We are developing a methodology which will ensure that displayed images are independent of the display device, i.e. are standard. We feel it is important that the selection of a standardization methodology be based upon observer performance. The standardization method we have implemented produces a display scale in which equal changes in driving intensity produce changes in physical luminance that are perceptually equivalent. We refer to this as perceptual linearization. For practical application of this technique, it would be desirable if a single correction function would cause a particular display to be perceptually linear for all observers in all situations. This correction function may depend upon factors such as variation between and within observers, ambient light, etc. We have begun to test the effect of these factors by comparing intra and inter observer variation. Results to date show that the variation between observers does not exceed intra observer variation.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. E. Johnston, J. B. Zimmerman, D. C. Rogers, and S. M. Pizer "Perceptual Standardization", Proc. SPIE 0536, 3rd Intl Conf on Picture Archiving and Communication Systems, (16 September 1985); https://doi.org/10.1117/12.947328
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Cited by 10 scholarly publications.
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KEYWORDS
Video

Medical imaging

Picture Archiving and Communication System

Computed tomography

Data analysis

Eye

Signal to noise ratio

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