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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 18, Iss. 12 — Dec. 1, 2001
  • pp: 3018–3036

Optical tomographic imaging of dynamic features of dense-scattering media

Randall L. Barbour, Harry L. Graber, Yaling Pei, Sheng Zhong, and Christoph H. Schmitz  »View Author Affiliations


JOSA A, Vol. 18, Issue 12, pp. 3018-3036 (2001)
http://dx.doi.org/10.1364/JOSAA.18.003018


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Abstract

Methods used in optical tomography have thus far proven to produce images of complex target media (e.g., tissue) having, at best, relatively modest spatial resolution. This presents a challenge in differentiating artifact from true features. Further complicating such efforts is the expectation that the optical properties of tissue for any individual are largely unknown and are likely to be quite variable due to the occurrence of natural vascular rhythms whose amplitudes are sensitive to a host of autonomic stimuli that are easily induced. We recognize, however, that rather than frustrating efforts to validate the accuracy of image features, the time-varying properties of the vasculature can be exploited to aid in such efforts, owing to the known structure-dependent frequency response of the vasculature and to the fact that hemoglobin is a principal contrast feature of the vasculature at near-infrared wavelengths. To accomplish this, it is necessary to generate a time series of image data. In this report we have tested the hypothesis that through analysis of time-series data, independent contrast features can be derived that serve to validate, at least qualitatively, the accuracy of imaging data, in effect establishing a self-referencing scheme. A significant finding is the observation that analysis of such data can produce high-contrast images that reveal features that are mainly obscured in individual image frames or in time-averaged image data. Given the central role of hemoglobin in tissue function, this finding suggests that a wealth of new features associated with vascular dynamics can be identified from the analysis of time-series image data.

© 2001 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(100.2980) Image processing : Image enhancement
(100.6950) Image processing : Tomographic image processing
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
(170.5380) Medical optics and biotechnology : Physiology

History
Original Manuscript: October 19, 2000
Revised Manuscript: March 16, 2001
Manuscript Accepted: January 10, 2001
Published: December 1, 2001

Citation
Randall L. Barbour, Harry L. Graber, Yaling Pei, Sheng Zhong, and Christoph H. Schmitz, "Optical tomographic imaging of dynamic features of dense-scattering media," J. Opt. Soc. Am. A 18, 3018-3036 (2001)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-18-12-3018

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