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Luminance and Non-Uniformity Changes in Primary Monitors Over the 4-Year Period of QA Measurements

A Ruuge*, Y Erdi, Memorial Sloan Kettering Cancer Center, New York, NY

Presentations

(Sunday, 7/12/2020)   [Eastern Time (GMT-4)]

Room: AAPM ePoster Library

Purpose: In this work, we evaluated the change of primary monitor characteristics in four consecutive years.
Methods: Eighteen primary monitors (Barco, MDCC-6130) which were continuously in service for 4 years (2016-2019), were included in the analysis. The monitors were located at radiology physicians' offices and radiology reading rooms. All primary monitors were equipped with the manufacturer's built-in photometers and connected to the BarcoMediCalQA web service for manual and automatic quality control measurements. External photometer/illuminance meter (RaySafe SoloLight) was used to measure the luminance and illuminance values. Measured luminance values of the TG18LN1-18 and TG18UNL80 test patterns were used to evaluate the primary monitors performance.
Results: Over the period of 4 years the maximum luminance (Lmax) of all 18 displays decreased in the last year when compared to the first year. The change of Lmax of all 18 tested monitors was statistically significant (P < 0.01). The average luminance decrease was 4 cd/m² per year. The annual QA measurements of the monitors non-uniformity (Maximum Luminance Deviation (MLD)) parameter showed an increase of MLD values for all 18 monitors over the 4 years. The change of MLD was statistically significant (P < 0.01). All tested primary monitors had the MLD value less than 20.3%. Average MLD change per year was 2.1%.
Conclusion: In our previous publications it was shown that monitors luminance values can increase in one-year time due to the multiple monitor calibrations. The findings of this work show that during the period of 4 years, all tested primary monitors showed the expected decrease of Lmax and the increase of display’s MLD values. Tracking changes of the display’s Lmax and MLD values with a QA program can help to predict the expected time of the primary monitor replacement.

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Funding Support, Disclosures, and Conflict of Interest: This research was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748

Keywords

Quality Assurance, Quality Control, Image Analysis

Taxonomy

IM/TH- Image Analysis (Single Modality or Multi-Modality): Image processing

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