Performance evaluation of a visual display calibration algorithm for iPad

Lode De Paepe; Peter De Bock; Olivier Vanovermeire; Tom Kimpe

doi:10.1117/12.911265

16 February 2012 Performance evaluation of a visual display calibration algorithm for iPad

Lode De Paepe, Peter De Bock, Olivier Vanovermeire, Tom Kimpe

Proceedings Volume 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 831909 (2012) https://doi.org/10.1117/12.911265
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

IPad devices have become very popular also in the healthcare community. There is an ever growing demand to use tablets for displaying and reviewing of medical images. However, a major problem is the lack of calibration and quality assurance of the IPad display. Medical displays used for review and diagnosis of medical images need to be calibrated to the DICOM GSDF standard to ensure sufficient image quality and reproducibility. This paper presents a convenient and reliable solution. An optimized visual calibration algorithm to calibrate and perform quality assurance tests on IPad devices has been developed. The algorithm allows a user to quickly calibrate an IPad in only a few minutes while a follow-up visual QA test to verify calibration status takes less than a minute. In the calibration phase, the user needs to change position of a slider until a pattern barely becomes visible, and this for a small number of grey levels. In the QA test phase, 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 extensive tests have been performed. Multiple devices have been evaluated for various lighting conditions and viewing 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 an average deviation smaller than 5% for indoor use and smaller than 12% for outdoor use. Tests have also shown that the algorithm is very reproducible and that there is little difference in performance between users.

Citation Download Citation

Lode De Paepe, Peter De Bock, Olivier Vanovermeire, and Tom Kimpe "Performance evaluation of a visual display calibration algorithm for iPad", Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 831909 (16 February 2012); https://doi.org/10.1117/12.911265

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