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Proceedings Article

Signal source separation and localization in the analysis of dynamic near-infrared optical tomographic time series

[+] Author Affiliations
Harry L. Graber

SUNY/Downstate Medical Ctr. (USA)

Yaling Pei

NIRx Medical Technologies LLC (USA)

Randall L. Barbour

SUNY/Downstate Medical Ctr. (USA) and NIRx Medical Technologies LLC (USA)

David K. Johnston, Ying Zheng, John E. Mayhew

Univ. of Sheffield (United Kingdom)

Proc. SPIE 4955, Optical Tomography and Spectroscopy of Tissue V, 31 (July 30, 2003); doi:10.1117/12.479467
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From Conference Volume 4955

  • Optical Tomography and Spectroscopy of Tissue V
  • Britton Chance; Robert R. Alfano; Bruce J. Tromberg; Mamoru Tamura; Eva M. Sevick-Muraca
  • San Jose, CA | January 25, 2003

abstract

The emerging sub-field of dynamic medical optical tomography shows great potential for conferring significantly enhanced early diagnosis and treatment monitoring capabilities upon researchers and clinicians. In previous reports we have showed that adoption of elementary time-series analysis techniques can bring about large large improvements in localization and contrast in optical tomographic images. Here we build upon the earlier work, and show that well-known techniques for extraction and localization of signals embedded in a noisy background, and for deconvolution of signal mixtures, also can be successfully applied to the problem of interpreting dynamic optical tomography data sets. A general linear model computation is used for the signal extraction/localization problem, while the deconvolution problem is addressed by means of a blind source separation technique extensively reported.

© (2003) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Harry L. Graber ; Yaling Pei ; Randall L. Barbour ; David K. Johnston ; Ying Zheng, et al.
"Signal source separation and localization in the analysis of dynamic near-infrared optical tomographic time series", Proc. SPIE 4955, Optical Tomography and Spectroscopy of Tissue V, 31 (July 30, 2003); doi:10.1117/12.479467; http://dx.doi.org/10.1117/12.479467


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