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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editor: Gregory W. Faris
  • Vol. 5, Iss. 2 — Jan. 21, 2010

Random process estimator for laser speckle imaging of cerebral blood flow

Peng Miao, Nan Li, Nitish V. Thakor, and Shanbao Tong  »View Author Affiliations


Optics Express, Vol. 18, Issue 1, pp. 218-236 (2010)
http://dx.doi.org/10.1364/OE.18.000218


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Abstract

In this paper, we develop a random process theory to explain the laser speckle phenomena. The relation between the probability distribution of speckle’s integrated intensity random process Y ( t ) and the relative velocity v ( t ) is derived. Based on the random process theory, traditional spatial or temporal laser speckle contrast analysis (i.e. spatial or temporal LASCA) can be derived as the spatial or temporal estimators respectively. Both spatial LASCA and temporal LASCA suffer from noise due to insufficient statistics and nonstationarity in either spatial or temporal domain. Furthermore, either LASCA results in a reduction of spatial or temporal resolution. A new random process estimator is proposed and able to overcome these drawbacks. In an in-vitro study, random process estimator outperforms either spatial LASCA or temporal LASCA by providing much higher SNR (random process estimator vs. spatial LASCA vs. temporal LASCA: 33.64±6.87 ( m e a n ± s . t . d . ) vs. 9.08±2.85 vs. 3.83±1.05). In an in-vivo structural imaging study, random process estimator efficiently suppresses the noise in contrast image and thus improves the distinguishability of small vessels. In a functional imaging study of cerebral blood flow change in the somatosensory cortex induced by rat’s hind paw stimulation, random process estimator provides much lower estimation errors in single trial data (random process estimator vs. temporal LASCA: 0.31±0.03 vs. 1.36±0.09) and finally leads to higher resolution spatiotemporal patterns of cerebral blood flow.

© 2009 OSA

OCIS Codes
(110.4280) Imaging systems : Noise in imaging systems
(110.6150) Imaging systems : Speckle imaging
(170.3880) Medical optics and biotechnology : Medical and biological imaging

ToC Category:
Medical Optics and Biotechnology

History
Original Manuscript: October 26, 2009
Revised Manuscript: December 7, 2009
Manuscript Accepted: December 14, 2009
Published: December 23, 2009

Virtual Issues
Vol. 5, Iss. 2 Virtual Journal for Biomedical Optics

Citation
Peng Miao, Nan Li, Nitish V. Thakor, and Shanbao Tong, "Random process estimator for laser speckle imaging of cerebral blood flow," Opt. Express 18, 218-236 (2010)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-18-1-218


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