25.2: Characterization of Physical Image Quality of 2‐ and 5‐Million‐Pixel Monochrome AMLCDs for Medical Imaging

Abstract

The physical image quality of two new high‐performance monochrome active matrix liquid crystal displays (AMLCDs), a 2‐ and a 5‐million‐pixel display, is reviewed. The performance is illustrated by examples (because of space limitations) of on‐axis and off‐axis characteristic curves, luminance range and contrast, luminance uniformity across the display screen, temporal modulation transfer function (MTF), spatial MTF, spatial noise power spectra and spatial signal‐to‐noise ratios. The LCDs are equipped with an internal photosensor that maintains a desired maximum luminance and calibration to a given display function. The systems offer aperture and temporal modulation to place luminance levels with more than 12‐bit precision on a desired display function and achieve uniform contrast distribution over the luminance range for a narrow viewing angle perpendicular to the LCD face. The image quality of the LCDs is compared with that of high‐performance high‐resolution cathode‐ray‐tube (CRT) displays.

13.2: Viewing Angle Comparison of IPS and VA Medical AMLCDs

“…In modern digital radiology operations, AMLCD monitors are increasingly being used in workstations due mostly to decreasing cost and smaller footprint. One key deficiency of AMLCDs is their non-Lambertian luminance emission [1]. In previous work, we have characterized the angular emissions of 3-, 5-, and 9-million-pixel AMLCDs [2,3] and found that large departures from the desired luminance response are present even for the highperformance medical AMLCDs included in our study.…”

13.5: Late-News Paper: Super High Performance of the 20.8ʺ Medical Monitor Using True Black Advanced FFS

“…The medical display with a high mega pixels is used to define the fine diagnosis and clinic to display with high density digital image such as X-ray, MRI and CT [1]. In recent, most hospital have to change from CRT to high resolution LCD display for diagnosis by using the digital image of medical information.…”