
Proceedings Paper
Visual adaptation: softcopy image contribution to the observer's field of viewFormat | Member Price | Non-Member Price |
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Paper Abstract
Purpose
Detection of low-contrast details is highly dependent on the adaptation state of the eye. It is important therefore that the
average luminance of the observer's field of view (FOV) matches those of softcopy radiological images. This study
establishes the percentage of FOV filled by workstations at various viewing distances.
Methods
Five observers stood at viewing distances of 20, 30 and 50cm from a homogenous white surface and were instructed to
continuously focus on a fixed object at a height appropriate level. A dark indicator was held at this object and then
moved steadily until the observer could no longer perceive it in his/her peripheral vision. This was performed at 0°, 90°,
180° and 270° clockwise from the median sagittal plane. Distances were recorded, radii calculated and observer and
mean FOV areas established. These values were then compared with areas of typical high and low specification
workstations.
Results
Individual and mean FOVs were 7660, 15463 and 30075cm2 at viewing distances of 20, 30 and 50cm respectively. High
and low specification monitors with respective areas of 1576.25 and 921.25cm2 contributed between 5 to 21% and 3 to
12% respectively to the total FOV depending on observer distance. Limited inter-observer variances were noted.
Conclusions
Radiology workstations typically comprise between only 3 and 21% of the observer's FOV. This demonstrates the
importance of measuring ambient light levels and surface reflection coefficients in order to maximise adaptation and
observer's perception of low contrast detail and minimise eye strain.
Paper Details
Date Published: 6 March 2008
PDF: 6 pages
Proc. SPIE 6917, Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment, 69170O (6 March 2008); doi: 10.1117/12.770305
Published in SPIE Proceedings Vol. 6917:
Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment
Berkman Sahiner; David J. Manning, Editor(s)
PDF: 6 pages
Proc. SPIE 6917, Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment, 69170O (6 March 2008); doi: 10.1117/12.770305
Show Author Affiliations
R. J. Toomey, Univ. College Dublin School of Medicine and Medical Science (Ireland)
K. Curran, Univ. College Dublin School of Medicine and Medical Science (Ireland)
C. D'Helft, Univ. College Dublin School of Medicine and Medical Science (Ireland)
M. B. Joyce, Univ. College Dublin School of Medicine and Medical Science (Ireland)
J. Stowe, Univ. College Dublin School of Medicine and Medical Science (Ireland)
K. Curran, Univ. College Dublin School of Medicine and Medical Science (Ireland)
C. D'Helft, Univ. College Dublin School of Medicine and Medical Science (Ireland)
M. B. Joyce, Univ. College Dublin School of Medicine and Medical Science (Ireland)
J. Stowe, Univ. College Dublin School of Medicine and Medical Science (Ireland)
J. T. Ryan, Univ. College Dublin School of Medicine and Medical Science (Ireland)
M. F. McEntee, Univ. College Dublin School of Medicine and Medical Science (Ireland)
D. J. Manning, Univ. of Cumbria (United Kingdom)
P. C. Brennan, Univ. College Dublin School of Medicine and Medical Science (Ireland)
M. F. McEntee, Univ. College Dublin School of Medicine and Medical Science (Ireland)
D. J. Manning, Univ. of Cumbria (United Kingdom)
P. C. Brennan, Univ. College Dublin School of Medicine and Medical Science (Ireland)
Published in SPIE Proceedings Vol. 6917:
Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment
Berkman Sahiner; David J. Manning, Editor(s)
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