DocumentCode :
1814514
Title :
Segmentation processes and pattern recognition in retina and brain imaging
Author :
Guimarães, P. ; Serranho, P. ; Castelo-Branco, M. ; Bernardes, R.
Author_Institution :
Inst. of Biomed. Res. in Light & Image, Univ. of Coimbra, Coimbra, Portugal
fYear :
2012
fDate :
23-25 Feb. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Prior studies have suggested a connection between the deprivation of visual stimuli and the degeneration of cortical visual areas. Retinal and cortical thickness allows inferring on the integrity of the retina and the cortex, respectively. We intend to develop a novel methodology to allow establishing the correlation between retinal and cortical thickness, automatically and in vivo. Cortical thickness requires proper visual stimuli to establish to which location within the ocular fundus a given visual cortex location refers to. Through retinotopic mapping the link between the visual space and the visual cortex can be established, although with low resolution. Automated software that maps the visual area and interpolates retinotopic data was developed.
Keywords :
biomedical MRI; biomedical optical imaging; brain; eye; image segmentation; medical image processing; optical tomography; pattern recognition; vision defects; MRI; OCT; automated software; brain imaging; cortical thickness; cortical visual areas; magnetic resonance imaging; ocular fundus; optical coherence tomography; pattern recognition; retina imaging; retina integrity; retinal thickness; retinotopic data; retinotopic mapping; segmentation processing; visual cortex location; visual space; visual stimuli; Correlation; Image resolution; Image segmentation; In vivo; Interpolation; Retina; Visualization; Biomedical image processing; Image co-registration; Image segmentation; Pattern recognition; Thickness measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering (ENBENG), 2012 IEEE 2nd Portuguese Meeting in
Conference_Location :
Coimbra
Print_ISBN :
978-1-4673-4524-8
Type :
conf
DOI :
10.1109/ENBENG.2012.6331395
Filename :
6331395
Link To Document :
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