Study on Image Quality Assessment with Scale Space Approach Using Index of Visual Evoked Potentials

2011 ◽  
pp. 165-176
Author(s):  
Hidehiko Hayashi ◽  
Akinori Minazuki
Keyword(s):  
Image Quality ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Image Quality Assessment ◽  
Objective Assessment ◽  
Scale Space ◽  
Assessment Method ◽  
Pattern Reversal ◽  
Scalar Parameter ◽  
Visual Evoked

This chapter presents an objective assessment method of image quality using visual evoked potentials (VEPs) to image engineer field based on multi-disciplinarily approach such as knowledge of neurobiology, image recognition theory, or computer vision. The multi-disciplinarily based objective assessment method applies Gaussian scale-space filtering in order to define a scalar parameter to depict blur image. In the experiment, visual stimuli are provided by the scalar parameter, and subjects are detected using VEPs. Their VEPs are recoded during observation of the checkerboard pattern reversal (PR) stimuli, and are analyzed with a latency of about Negative 145 msec (N145) component. The result of the experiment was that latency of N145 components were long about10-20 msec when parameters were large vale (more blur). This result shows one example of availableness for the multi-disciplinarily based objective assessment of image quality by integrating the pattern reversal visual evoked potential (PR-VEP) and the scale-space theory.

Study on Image Quality Assessment with Scale Space Approach Using Index of Visual Evoked Potentials

2013 ◽  
pp. 927-938
Author(s):  
Hidehiko Hayashi ◽  
Akinori Minazuki
Keyword(s):  
Image Quality ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Image Quality Assessment ◽  
Objective Assessment ◽  
Scale Space ◽  
Assessment Method ◽  
Pattern Reversal ◽  
Scalar Parameter ◽  
Visual Evoked

This chapter presents an objective assessment method of image quality using visual evoked potentials (VEPs) to image engineer field based on multi-disciplinarily approach such as knowledge of neurobiology, image recognition theory, or computer vision. The multi-disciplinarily based objective assessment method applies Gaussian scale-space filtering in order to define a scalar parameter to depict blur image. In the experiment, visual stimuli are provided by the scalar parameter, and subjects are detected using VEPs. Their VEPs are recoded during observation of the checkerboard pattern reversal (PR) stimuli, and are analyzed with a latency of about Negative 145 msec (N145) component. The result of the experiment was that latency of N145 components were long about10-20 msec when parameters were large vale (more blur). This result shows one example of availableness for the multi-disciplinarily based objective assessment of image quality by integrating the pattern reversal visual evoked potential (PR-VEP) and the scale-space theory.

Pattern-reversal visual evoked potentials in patients with hydrocephalus

1985 ◽  
Vol 62 (2) ◽  
pp. 234-237 ◽  
Author(s):  
Shakir M. Alani
Keyword(s):  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Right Hemisphere ◽  
Visual Pathway ◽  
Pattern Reversal ◽  
Field Stimulation ◽  
Content Type ◽  
Clinical Methods ◽  
The Right ◽  
Visual Evoked

✓ Pattern-reversal visual evoked potentials (VEP's) in response to whole- and half-field stimulation were studied in 10 patients with hydrocephalus. Abnormalities consistent with optic nerve dysfunction were recorded in four patients. Two patients had response asymmetry to half-field stimulation, which suggested dysfunction of the visual pathway in the right hemisphere. The remaining four patients had normal responses. Measurement of VEP's was repeated after the surgical treatment of hydrocephalus in four patients, and showed marked improvement in two of the three patients with preoperative abnormalities. This study suggests that, in patients with hydrocephalus, VEP's are more sensitive than clinical methods in detecting visual pathway dysfunction and that they can be useful in the follow-up monitoring of surgically treated hydrocephalic patients.

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