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Applied Optics

Applied Optics


  • Vol. 43, Iss. 7 — Mar. 1, 2004
  • pp: 1522–1532

Performance evaluation of iterative tomography algorithms for incomplete projection data

Debasish Mishra, Jon P. Longtin, Raman P. Singh, and Vishwanath Prasad  »View Author Affiliations

Applied Optics, Vol. 43, Issue 7, pp. 1522-1532 (2004)

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Projection data obtained through optical techniques for tomographic measurements, such as interferometry for refractive-index-based measurements, are often incomplete. This is due to limitations in the optical system, data storage, and alignment and vignette issues. Algebraic iterative reconstruction techniques are usually favored for such incomplete projections. A number of iterative algorithms, based on additive and multiplicative corrections, are used with a known simulated phantom and noise source to assess the reconstruction performance of incomplete data sets. In addition, we present reconstructions using experimental data obtained from a coherent gradient sensing interferometer for a steady temperature field in a fluid medium. We tested the algorithms using the simulated data set for incompleteness conditions similar to those found in the experimental data, and the best-performing algorithm is identified.

© 2004 Optical Society of America

OCIS Codes
(100.3190) Image processing : Inverse problems
(110.6960) Imaging systems : Tomography
(120.3180) Instrumentation, measurement, and metrology : Interferometry
(120.4640) Instrumentation, measurement, and metrology : Optical instruments
(120.6810) Instrumentation, measurement, and metrology : Thermal effects

Original Manuscript: May 5, 2003
Revised Manuscript: November 24, 2003
Published: March 1, 2004

Debasish Mishra, Jon P. Longtin, Raman P. Singh, and Vishwanath Prasad, "Performance evaluation of iterative tomography algorithms for incomplete projection data," Appl. Opt. 43, 1522-1532 (2004)

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