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Optimization of 3D Flow Imaging by Diffuse Correlation Tomography

C. Zhou, T. Durduran, G. Yu, and A. G. Yodh

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Abstract

The Diffuse Correlation Tomography problem is optimized by using condition number analysis and L-Curve analysis. An optimal data set is obtained from the tail of the temporal intensity autocorrelation and an optimal regularization parameter is obtained from L-Curve analysis. Images are reconstructed from simulated data and phantom measurements.

© 2004 Optical Society of America

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