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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 8, Iss. 8 — Sep. 4, 2013

Maximum likelihood tomographic reconstruction of extremely sparse solutions in diffuse fluorescence flow cytometry

Vivian Pera, Eric Zettergren, Dana H. Brooks, and Mark Niedre  »View Author Affiliations


Optics Letters, Vol. 38, Issue 13, pp. 2357-2359 (2013)
http://dx.doi.org/10.1364/OL.38.002357


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Abstract

We apply reparameterization and the maximum likelihood method to a specific fluorescence-mediated tomography problem where the solution is known a priori to be extremely sparse (i.e., all image values are zero except for one). Our algorithm performs significantly better than a standard image reconstruction method, particularly for deep-seated targets, and achieves close to 150 μm accuracy in a 3 mm diameter cross-sectional area with only 12 measurements. Moreover, results do not depend on the selection of a regularization parameter or other ad hoc values, and since reconstructions can be computed very quickly, the algorithm is also suitable for real-time implementation.

© 2013 Optical Society of America

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(300.2530) Spectroscopy : Fluorescence, laser-induced
(110.6955) Imaging systems : Tomographic imaging

ToC Category:
Imaging Systems

History
Original Manuscript: April 18, 2013
Manuscript Accepted: May 23, 2013
Published: June 28, 2013

Virtual Issues
Vol. 8, Iss. 8 Virtual Journal for Biomedical Optics

Citation
Vivian Pera, Eric Zettergren, Dana H. Brooks, and Mark Niedre, "Maximum likelihood tomographic reconstruction of extremely sparse solutions in diffuse fluorescence flow cytometry," Opt. Lett. 38, 2357-2359 (2013)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ol-38-13-2357


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References

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