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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 10 — Apr. 1, 1999
  • pp: 2138–2150

Biomedical optical tomography using dynamic parameterization and Bayesian conditioning on photon migration measurements

Margaret J. Eppstein, David E. Dougherty, Tamara L. Troy, and Eva M. Sevick-Muraca  »View Author Affiliations


Applied Optics, Vol. 38, Issue 10, pp. 2138-2150 (1999)
http://dx.doi.org/10.1364/AO.38.002138


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Abstract

Stochastic reconstruction techniques are developed for mapping the interior optical properties of tissues from exterior frequency-domain photon migration measurements at the air–tissue interface. Parameter fields of absorption cross section, fluorescence lifetime, and quantum efficiency are accurately reconstructed from simulated noisy measurements of phase shift and amplitude modulation by use of a recursive, Bayesian, minimum-variance estimator known as the approximate extended Kalman filter. Parameter field updates are followed by data-driven zonation to improve the accuracy, stability, and computational efficiency of the method by moving the system from an underdetermined toward an overdetermined set of equations. These methods were originally developed by Eppstein and Dougherty [Water Resources Res. 32, 3321 (1996)] for applications in geohydrology. Estimates are constrained to within feasible ranges by modeling of parameters as β-distributed random variables. No arbitrary smoothing, regularization, or interpolation is required. Results are compared with those determined by use of Newton–Raphson-based inversions. The speed and accuracy of these preliminary Bayesian reconstructions suggest the near-future application of this inversion technology to three-dimensional biomedical imaging with frequency-domain photon migration.

© 1999 Optical Society of America

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(100.3010) Image processing : Image reconstruction techniques
(100.3190) Image processing : Inverse problems
(100.6950) Image processing : Tomographic image processing
(110.4280) Imaging systems : Noise in imaging systems
(170.5280) Medical optics and biotechnology : Photon migration

History
Original Manuscript: September 30, 1998
Revised Manuscript: January 14, 1999
Published: April 1, 1999

Citation
Margaret J. Eppstein, David E. Dougherty, Tamara L. Troy, and Eva M. Sevick-Muraca, "Biomedical optical tomography using dynamic parameterization and Bayesian conditioning on photon migration measurements," Appl. Opt. 38, 2138-2150 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-10-2138


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