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Data subset algorithm for computationally efficient reconstruction of 3-D spectral imaging in diffuse optical tomography
Subhadra Srinivasan, Brian W. Pogue, Hamid Dehghani, Frederic Leblond, and Xavier Intes »View Author Affiliations
Thayer School of Engineering, Dartmouth College, Hanover, NH-03755
School of Physics, University of Exeter, Exeter, EX4 4QL, U.K
Advanced Research Technologies (ART) Inc., 2300 Alfred Nobel Blvd, Saint Laurent QC H4S ZA4
Optics Express, Vol. 14, Issue 12, pp. 5394-5410 (2006)
http://dx.doi.org/10.1364/OE.14.005394
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Abstract
Three-dimensional (3-D) models of light propagation in diffuse optical tomography provide an accurate representation of scattering in tissue. Here the use of spectral priors, shown to improve quantification of functional parameters in 2-D, has been extended to 3-D. To make 3-D spectral imaging computationally tractable, a novel technique is presented to deal with the large data set. The basic principle consists of using a dynamic criterion to select optimal data subsets that capture the major changes in the imaging domain. Results from three test cases showed comparable image quality and accuracy with less than 4% difference between the uses of data subset approach versus the entire dataset. Tested on simulated data from two different models, the algorithm was able to discern multiple objects successfully with an average error of 30% in quantifying multiple regions and less than 1% in quantifying the background.
© 2006 Optical Society of America
OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.6960) Medical optics and biotechnology : Tomography
ToC Category:
Medical Optics and Biotechnology
History
Original Manuscript: April 5, 2006
Revised Manuscript: May 19, 2006
Manuscript Accepted: May 25, 2006
Published: June 12, 2006
Virtual Issues
Vol. 1, Iss. 7 Virtual Journal for Biomedical Optics
Citation
Subhadra Srinivasan, Brian W. Pogue, Hamid Dehghani, Frederic Leblond, and Xavier Intes, "Data subset algorithm for computationally
efficient reconstruction of 3-D spectral imaging
in diffuse optical tomography," Opt. Express 14, 5394-5410 (2006)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-14-12-5394
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Other
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