Spatiotemporal Independent Component Analysis for the Detection of Functional Responses in Cat Retinal Images

E.S Barriga; M Pattichis; D Ts'o; M Abramoff; R Kardon; Young Kwon; P Soliz

doi:10.1109/TMI.2007.897366

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Journal article

Spatiotemporal Independent Component Analysis for the Detection of Functional Responses in Cat Retinal Images

E.S Barriga, M Pattichis, D Ts'o, M Abramoff, R Kardon, Young Kwon and P Soliz

IEEE Transactions on Medical Imaging, Vol.26(8), pp.1035-1045

08/2007

DOI: 10.1109/TMI.2007.897366

PMID: 17695124

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Abstract

In the early stages of some retinal diseases, such as glaucoma, loss of retinal activity may be difficult to detect with current clinical instruments. Because current instruments require unattainable levels of patient cooperation, high sensitivity and specificity are difficult to attain. We have devised a new retinal imaging system that detects intrinsic optical signals which reflect functional changes in the retina and that do not require patient cooperation. Measured changes in reflectance in response to the visual stimulus are on the order of 0.1%-1% of the total reflected intensity level, which makes the functional signal difficult to detect by standard methods. The desired functional signal is masked by other physiological signals and by imaging system noise. In this paper, we quantify the limits of independent component analysis (ICA) for detecting the low intensity functional signal and apply ICA to 60 video sequences from experiments using an anesthetized cat whose retina is presented with different patterned stimuli. The results of the analysis show that using ICA, in principle, signal levels of 0.1% can be detected. The study found that in 86% of the animal experiments the patterned stimuli effects on the retina can be detected and extracted.

Instruments

Independent component analysis

Sensitivity and specificity

Optical detectors

Retina

Optical imaging

Diseases

Optical losses

independent component analysis (ICA)

Spatiotemporal phenomena

visual stimulation

Signal detection

Functional imaging

Details

Title: Subtitle: Spatiotemporal Independent Component Analysis for the Detection of Functional Responses in Cat Retinal Images
Creators: E.S Barriga - Univ. of New Mexico, Albuquerque
M Pattichis - Univ. of New Mexico, Albuquerque
D Ts'o
M Abramoff
R Kardon
Young Kwon
P Soliz
Resource Type: Journal article
Publication Details: IEEE Transactions on Medical Imaging, Vol.26(8), pp.1035-1045
DOI: 10.1109/TMI.2007.897366
PMID: 17695124
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: IEEE
Language: English
Date published: 08/2007
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Iowa Neuroscience Institute; Ophthalmology and Visual Sciences
Record Identifier: 9983806267802771

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