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Proceedings Paper

Optimizing image reconstruction of tissue blood flow by diffuse correlation tomography
Author(s): Chao Zhou; Turgut Durduran; Guoqiang Yu; Arjun G. Yodh
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Paper Abstract

In this work, we analyze the image reconstruction problem within the first order Rytov approximation and optimize the image reconstruction by looking at the singular value spectrum of the "weight matrix". We show that the optimal data is from the tail of the temporal intensity autocorrelation curve by investigating the condition number. Furthermore, by doing a standard L-curve analysis, we find the optimal regularization constant (Tikhonov regularization). Images from simulated data are shown to illustrate the advantage of the optimization process.

Paper Details

Date Published: 29 July 2003
PDF: 9 pages
Proc. SPIE 4955, Optical Tomography and Spectroscopy of Tissue V, (29 July 2003); doi: 10.1117/12.476883
Show Author Affiliations
Chao Zhou, Univ. of Pennsylvania (United States)
Turgut Durduran, Univ. of Pennsylvania (United States)
Guoqiang Yu, Univ. of Pennsylvania (United States)
Arjun G. Yodh, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 4955:
Optical Tomography and Spectroscopy of Tissue V
Britton Chance; Robert R. Alfano; Bruce J. Tromberg; Mamoru Tamura; Eva M. Sevick-Muraca, Editor(s)

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