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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 1, Iss. 2 — Sep. 1, 2010
  • pp: 441–452

Algorithmic depth compensation improves quantification and noise suppression in functional diffuse optical tomography

Fenghua Tian, Haijing Niu, Sabin Khadka, Zi-Jing Lin, and Hanli Liu  »View Author Affiliations

Biomedical Optics Express, Vol. 1, Issue 2, pp. 441-452 (2010)

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Accurate depth localization and quantitative recovery of a regional activation are the major challenges in functional diffuse optical tomography (DOT). The photon density drops severely with increased depth, for which conventional DOT reconstruction yields poor depth localization and quantitative recovery. Recently we have developed a depth compensation algorithm (DCA) to improve the depth localization in DOT. In this paper, we present an approach based on the depth-compensated reconstruction to improve the quantification in DOT by forming a spatial prior. Simulative experiments are conducted to demonstrate the usefulness of this approach. Moreover, noise suppression is a key to success in DOT which also affects the depth localization and quantification. We present quantitative analysis and comparison on noise suppression in DOT with and without depth compensation. The study reveals that appropriate combination of depth-compensated reconstruction with the spatial prior can provide accurate depth localization and improved quantification at variable noise levels.

© 2010 OSA

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.6960) Medical optics and biotechnology : Tomography
(170.2655) Medical optics and biotechnology : Functional monitoring and imaging

ToC Category:
Image Reconstruction and Inverse Problems

Original Manuscript: June 8, 2010
Revised Manuscript: July 26, 2010
Manuscript Accepted: July 26, 2010
Published: August 2, 2010

Virtual Issues
Optical Imaging and Spectroscopy (2010) Biomedical Optics Express

Fenghua Tian, Haijing Niu, Sabin Khadka, Zi-Jing Lin, and Hanli Liu, "Algorithmic depth compensation improves quantification and noise suppression in functional diffuse optical tomography," Biomed. Opt. Express 1, 441-452 (2010)

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