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- W2011373505 abstract "IPad devices have become very popular also in the healthcare community. There is an ever growingdemand to use tablets for displaying and reviewing of medical images. However, a major problem is thelack of calibration and quality assurance of the IPad display. Medical displays used for review anddiagnosis of medical images need to be calibrated to the DICOM GSDF standard to ensure sufficientimage quality and reproducibility.This paper presents a convenient and reliable solution. An optimized visual calibration algorithm tocalibrate and perform quality assurance tests on IPad devices has been developed. The algorithm allows auser to quickly calibrate an IPad in only a few minutes while a follow-up visual QA test to verifycalibration status takes less than a minute. In the calibration phase, the user needs to change position of aslider until a pattern barely becomes visible, and this for a small number of grey levels. In the QA testphase, the user needs detect subtle patterns of varying size, contrast and average luminance level.It is extremely important to accurately quantify performance of the algorithm. For this purpose extensivetests have been performed. Multiple devices have been evaluated for various lighting conditions andviewing angles. The group of test user consisted of both non-clinical and clinical people.Results show that the algorithm consistently is able to calibrate an IPad device to DICOM GSDF with anaverage deviation smaller than 5% for indoor use and smaller than 12% for outdoor use. Tests have alsoshown that the algorithm is very reproducible and that there is little difference in performance betweenusers." @default.
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- W2011373505 date "2012-02-23" @default.
- W2011373505 modified "2023-09-23" @default.
- W2011373505 title "Performance evaluation of a visual display calibration algorithm for iPad" @default.
- W2011373505 doi "https://doi.org/10.1117/12.911265" @default.
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