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.
Original language | English |
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Pages (from-to) | 287-295 |
Number of pages | 9 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 4955 |
DOIs | |
State | Published - 2003 |
Event | PROGRESS IN BIOMEDICAL OPTICS AND IMAGING: Optical Tomography and Spectroscopy of Tissue V - San Jose, CA, United States Duration: Jan 26 2003 → Jan 29 2003 |
Keywords
- Diffuse correlation spectroscopy (DCS)
- Image reconstruction
- Singular value analysis
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering