
Measurement Challenges for Medical Image Display Devices
Author(s) -
John Penczek,
Paul A. Boynton,
Ryan Beams,
Ram D. Sriram
Publication year - 2021
Publication title -
journal of digital imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.055
H-Index - 58
eISSN - 1618-727X
pISSN - 0897-1889
DOI - 10.1007/s10278-021-00438-1
Subject(s) - software portability , workflow , computer science , image quality , multimedia , medical imaging , quality (philosophy) , display device , computer vision , human–computer interaction , artificial intelligence , image (mathematics) , database , philosophy , epistemology , programming language , operating system
Visual information is a critical component in the evaluation and communication of patient medical information. As display technologies have evolved, the medical community has sought to take advantage of advances in wider color gamuts, greater display portability, and more immersive imagery. These image quality enhancements have shown improvements in the quality of healthcare through greater efficiency, higher diagnostic accuracy, added functionality, enhanced training, and better health records. However, the display technology advances typically introduce greater complexity in the image workflow and display evaluation. This paper highlights some of the optical measurement challenges created by these new display technologies and offers possible pathways to address them.