Consistent screen checks boost image quality

Article

A consistent approach to calibrating the many monitors used throughout a hospital for image viewing can lead to more efficient image review and help identify monitors that may need to be replaced, according to researchers in Canada. The method developed by researchers at the University Health Network in Ontario uses an inexpensive calibration protocol (J Digit Imaging 2005;[Epub ahead of print]).

A consistent approach to calibrating the many monitors used throughout a hospital for image viewing can lead to more efficient image review and help identify monitors that may need to be replaced, according to researchers in Canada. The method developed by researchers at the University Health Network in Ontario uses an inexpensive calibration protocol (J Digit Imaging 2005;[Epub ahead of print]).

The protocol involves cleaning the monitor, setting the appropriate minimum and maximum luminance, setting the display system to the DICOM 14 gray-scale standard display function to compensate for the nonlinearity of the human ocular motor response, and performing visual checks.

Researchers reported improved image quality after calibration. Zero to 5% luminance difference was discernable on 30% of display systems before calibration. The difference was discernable on 100% of systems after calibration. Using the protocol, they also discovered that about 50% of the displays did not have the maximum luminance set.

Newsletter

Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.

Recent Videos
SNMMI: Emerging PET Insights on Neuroinflammation with Progressive Apraxia of Speech (PAOS) and Parkinson-Plus Syndrome
Improving Access to Nuclear Imaging: An Interview with SNMMI President Jean-Luc C. Urbain, MD, PhD
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
Related Content
© 2025 MJH Life Sciences

All rights reserved.