scholarly journals Correlation between model observers in uniform background and human observer in patient liver background for a low-contrast detection task in CT

2018 ◽  
Author(s):  
Hao Gong ◽  
Lifeng Yu ◽  
Shuai Leng ◽  
Cynthia H. McCollough ◽  
Samantha Dilger ◽  
...  
Keyword(s):  
Detection Task ◽  
Human Observer ◽  
Low Contrast ◽  
Contrast Detection ◽  
Uniform Background ◽  
Model Observers

scholarly journals Impact of number of repeated scans on model observer performance for a low-contrast detection task in CT

2015 ◽  
Author(s):  
Chi Ma ◽  
Lifeng Yu ◽  
Baiyu Chen ◽  
Thomas Vrieze ◽  
Christopher Favazza ◽  
...  
Keyword(s):  
Detection Task ◽  
Observer Performance ◽  
Low Contrast ◽  
Contrast Detection ◽  
Model Observer

scholarly journals Correlation between a 2D channelized Hotelling observer and human observers in a low‐contrast detection task with multislice reading in CT

2017 ◽  
Vol 44 (8) ◽  
pp. 3990-3999 ◽  
Author(s):  
Lifeng Yu ◽  
Baiyu Chen ◽  
James M. Kofler ◽  
Christopher P. Favazza ◽  
Shuai Leng ◽  
...  
Keyword(s):  
Detection Task ◽  
Low Contrast ◽  
Contrast Detection ◽  
Hotelling Observer ◽  
Channelized Hotelling Observer

scholarly journals Impact of number of repeated scans on model observer performance for a low-contrast detection task in computed tomography

2016 ◽  
Vol 3 (2) ◽  
pp. 023504 ◽  
Author(s):  
Chi Ma ◽  
Lifeng Yu ◽  
Baiyu Chen ◽  
Christopher Favazza ◽  
Shuai Leng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Detection Task ◽  
Observer Performance ◽  
Low Contrast ◽  
Contrast Detection ◽  
Model Observer

scholarly journals Dual-rotation C-arm cone-beam computed tomography to increase low-contrast detection

2017 ◽  
Vol 44 (9) ◽  
pp. e164-e173
Author(s):  
Aymeric Reshef ◽  
Cyril Riddell ◽  
Yves Trousset ◽  
Saïd Ladjal ◽  
Isabelle Bloch
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Low Contrast ◽  
Contrast Detection ◽  
Dual Rotation

Model observers low contrast detectability performance at different kV levels in CT phantom images

2014 ◽  
Vol 30 ◽  
pp. e18-e19
Author(s):  
I. Hernandez-Giron ◽  
A. Calzado ◽  
J. Geleijns ◽  
R.M.S. Joemai ◽  
W.J.H. Veldkamp
Keyword(s):  
Low Contrast ◽  
Model Observers

scholarly journals No psychological effect of color context in a low level vision task

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 247
Author(s):  
Adam Pedley ◽  
Alex R Wade
Keyword(s):  
Cognitive Processing ◽  
Repeated Measures ◽  
Detection Task ◽  
Analysis Of Covariance ◽  
Global Processing ◽  
Local Contrast ◽  
Colour Perception ◽  
Low Level ◽  
Contrast Detection ◽  
Global Form

Background: A remarkable series of recent papers have shown that colour can influence performance in cognitive tasks. In particular, they suggest that viewing a participant number printed in red ink or other red ancillary stimulus elements improves performance in tasks requiring local processing and impedes performance in tasks requiring global processing whilst the reverse is true for the colour blue. The tasks in these experiments require high level cognitive processing such as analogy solving or remote association tests and the chromatic effect on local vs. global processing is presumed to involve widespread activation of the autonomic nervous system. If this is the case, we might expect to see similar effects on all local vs. global task comparisons. To test this hypothesis, we asked whether chromatic cues also influence performance in tasks involving low level visual feature integration.Methods: Subjects performed either local (contrast detection) or global (form detection) tasks on achromatic dynamic Glass pattern stimuli. Coloured instructions, target frames and fixation points were used to attempt to bias performance to different task types. Based on previous literature, we hypothesised that red cues would improve performance in the (local) contrast detection task but would impede performance in the (global) form detection task. Results: A two-way, repeated measures, analysis of covariance (2×2 ANCOVA) with gender as a covariate, revealed no influence of colour on either task, F(1,29) = 0.289, p = 0.595, partial η2 = 0.002. Additional analysis revealed no significant differences in only the first attempts of the tasks or in the improvement in performance between trials.Discussion: We conclude that motivational processes elicited by colour perception do not influence neuronal signal processing in the early visual system, in stark contrast to their putative effects on processing in higher areas.

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