scholarly journals A preferred retinal location of fixation can be induced when systematic stimulus relocations are applied

2017 ◽  
Vol 17 (2) ◽  
pp. 11 ◽  
Author(s):  
Maria J. Barraza-Bernal ◽  
Katharina Rifai ◽  
Siegfried Wahl
Keyword(s):  
Retinal Location

scholarly journals Evaluation of focus and deep learning methods for automated image grading and factors influencing image quality in adaptive optics ophthalmoscopy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Danuta M. Sampson ◽  
David Alonso-Caneiro ◽  
Avenell L. Chew ◽  
Jonathan La ◽  
Danial Roshandel ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Adaptive Optics ◽  
Image Quality Assessment ◽  
Assessment Tool ◽  
Ground Truth ◽  
Disease Status ◽  
Retinal Location ◽  
Imaging Tool ◽  
Multiclass Classifier

AbstractAdaptive optics flood illumination ophthalmoscopy (AO-FIO) is an established imaging tool in the investigation of retinal diseases. However, the clinical interpretation of AO-FIO images can be challenging due to varied image quality. Therefore, image quality assessment is essential before interpretation. An image assessment tool will also assist further work on improving the image quality, either during acquisition or post processing. In this paper, we describe, validate and compare two automated image quality assessment methods; the energy of Laplacian focus operator (LAPE; not commonly used but easily implemented) and convolutional neural network (CNN; effective but more complex approach). We also evaluate the effects of subject age, axial length, refractive error, fixation stability, disease status and retinal location on AO-FIO image quality. Based on analysis of 10,250 images of 50 × 50 μm size, at 41 retinal locations, from 50 subjects we demonstrate that CNN slightly outperforms LAPE in image quality assessment. CNN achieves accuracy of 89%, whereas LAPE metric achieves 73% and 80% (for a linear regression and random forest multiclass classifier methods, respectively) compared to ground truth. Furthermore, the retinal location, age and disease are factors that can influence the likelihood of poor image quality.

Perceptual latency as a function of stimulus onset and offset and retinal location

1972 ◽  
Vol 12 (10) ◽  
pp. 1725-1731 ◽  
Author(s):  
Joel H. Lewis ◽  
William P. Dunlap ◽  
Halsey H. Matteson
Keyword(s):  
Stimulus Onset ◽  
Retinal Location ◽  
Perceptual Latency

scholarly journals Parametric Population Representation of Retinal Location: Neuronal Interaction Dynamics in Cat Primary Visual Cortex

1999 ◽  
Vol 19 (20) ◽  
pp. 9016-9028 ◽  
Author(s):  
Dirk Jancke ◽  
Wolfram Erlhagen ◽  
Hubert R. Dinse ◽  
Amir C. Akhavan ◽  
Martin Giese ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Retinal Location ◽  
Interaction Dynamics ◽  
Population Representation

Variation of the visual threshold with retinal location

1970 ◽  
Vol 10 (8) ◽  
pp. 745-767 ◽  
Author(s):  
B.N. Kishto ◽  
R. Saunders
Keyword(s):  
Retinal Location ◽  
Visual Threshold

scholarly journals Sensory eye dominance is retinal location specific and affects stereopsis

2010 ◽  
Vol 8 (6) ◽  
pp. 1089-1089 ◽  
Author(s):  
J. Xu ◽  
Z. J. He ◽  
T. L. Ooi
Keyword(s):  
Retinal Location ◽  
Eye Dominance ◽  
Sensory Eye Dominance

Retinal Location of the Preferred Retinal Locus Relative to the Fovea in Scanning Laser Ophthalmoscope Images

2005 ◽  
Vol 82 (3) ◽  
pp. E177-E187 ◽  
Author(s):  
GEORGE T. TIMBERLAKE ◽  
MANOJ K. SHARMA ◽  
SUSAN A. GROSE ◽  
DENISE V. GOBERT ◽  
JOHN M. GAUCH ◽  
...  
Keyword(s):  
Retinal Location ◽  
Scanning Laser Ophthalmoscope ◽  
Scanning Laser ◽  
Retinal Locus
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