Blind source separation in retinal videos

Eduardo S. Barriga; Paul W. Truitt; Marios S. Pattichis; Dan T'so; Young H. Kwon M.D.; Randy H. Kardon M.D.; Peter Soliz

doi:10.1117/12.481361

15 May 2003 Blind source separation in retinal videos

Eduardo S. Barriga, Paul W. Truitt, Marios S. Pattichis, Dan T'so, Young H. Kwon M.D., Randy H. Kardon M.D., Peter Soliz

Author Affiliations +

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.481361
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Eduardo S. Barriga, Paul W. Truitt, Marios S. Pattichis, Dan T'so, Young H. Kwon M.D., Randy H. Kardon M.D., and Peter Soliz "Blind source separation in retinal videos", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.481361

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