Share Email Print
cover

Proceedings Paper

Blind source separation in retinal videos
Author(s): Eduardo S. Barriga; Paul W. Truitt; Marios S. Pattichis; Dan T'so; Young H. Kwon; Randy H. Kardon; Peter Soliz
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

An optical imaging device of retina function (OID-RF) has been developed to measure changes in blood oxygen saturation due to neural activity resulting from visual stimulation of the photoreceptors in the human retina. The video data that are collected represent a mixture of the functional signal in response to the retinal activation and other signals from undetermined physiological activity. Measured changes in reflectance in response to the visual stimulus are on the order of 0.1% to 1.0% of the total reflected intensity level which makes the functional signal difficult to detect by standard methods since it is masked by the other signals that are present. In this paper, we apply principal component analysis (PCA), blind source separation (BSS), using Extended Spatial Decorrelation (ESD) and independent component analysis (ICA) using the Fast-ICA algorithm to extract the functional signal from the retinal videos. The results revealed that the functional signal in a stimulated retina can be detected through the application of some of these techniques.

Paper Details

Date Published: 15 May 2003
PDF: 11 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481361
Show Author Affiliations
Eduardo S. Barriga, Univ. of New Mexico (United States)
Paul W. Truitt, Kestrel Corp. (United States)
Marios S. Pattichis, Univ. of New Mexico (United States)
Dan T'so, SUNY Health Science Ctr. (United States)
Young H. Kwon, Univ. of Iowa (United States)
Randy H. Kardon, Univ. of Iowa (United States)
Peter Soliz, Kestrel Corp. (United States)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

© SPIE. Terms of Use
Back to Top