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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editor: Gregory W. Faris
  • Vol. 2, Iss. 11 — Nov. 26, 2007

Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm

Nannan Cao, Arye Nehorai, and Mathews Jacob  »View Author Affiliations


Optics Express, Vol. 15, Issue 21, pp. 13695-13708 (2007)
http://dx.doi.org/10.1364/OE.15.013695


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Abstract

We present an image reconstruction method for diffuse optical tomography (DOT) by using the sparsity regularization and expectation-maximization (EM) algorithm. Typical image reconstruction approaches in DOT employ Tikhonov-type regularization, which imposes restrictions on the L2 norm of the optical properties (absorption/scattering coefficients). It tends to cause a blurring effect in the reconstructed image and works best when the unknown parameters follow a Gaussian distribution. In reality, the abnormality is often localized in space. Therefore, the vector corresponding to the change of the optical properties compared with the background would be sparse with only a few elements being nonzero. To incorporate this information and improve the performance, we propose an image reconstruction method by regularizing the L1 norm of the unknown parameters and solve it iteratively using the expectation-maximization algorithm. We verify our method using simulated 3D examples and compare the reconstruction performance of our approach with the level-set algorithm, Tikhonov regularization, and simultaneous iterative reconstruction technique (SIRT). Numerical results show that our method provides better resolution than the Tikhonov-type regularization and is also efficient in estimating two closely spaced abnormalities.

© 2007 Optical Society of America

OCIS Codes
(100.3190) Image processing : Inverse problems
(170.3010) Medical optics and biotechnology : Image reconstruction techniques

ToC Category:
Image Processing

History
Original Manuscript: August 1, 2007
Revised Manuscript: September 26, 2007
Manuscript Accepted: October 2, 2007
Published: October 4, 2007

Virtual Issues
Vol. 2, Iss. 11 Virtual Journal for Biomedical Optics

Citation
Nannan Cao, Arye Nehorai, and Mathews Jacobs, "Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm," Opt. Express 15, 13695-13708 (2007)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-15-21-13695


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