Paper
29 July 2003 Optimizing image reconstruction of tissue blood flow by diffuse correlation tomography
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao Zhou, Turgut Durduran, Guoqiang Yu, and Arjun G. Yodh "Optimizing image reconstruction of tissue blood flow by diffuse correlation tomography", Proc. SPIE 4955, Optical Tomography and Spectroscopy of Tissue V, (29 July 2003); https://doi.org/10.1117/12.476883
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Cited by 1 scholarly publication.
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KEYWORDS
Image restoration

Condition numbers

Sensors

Optical spheres

Blood circulation

Spherical lenses

Tissue optics

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