Optimizing image reconstruction of tissue blood flow by diffuse correlation tomography

Chao Zhou, Turgut Durduran, Guoqiang Yu, Arjun G. Yodh

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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 languageEnglish
Pages (from-to)287-295
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2003
EventPROGRESS IN BIOMEDICAL OPTICS AND IMAGING: Optical Tomography and Spectroscopy of Tissue V - San Jose, CA, United States
Duration: Jan 26 2003Jan 29 2003


  • Diffuse correlation spectroscopy (DCS)
  • Image reconstruction
  • Singular value analysis


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