Cargando…
Random process estimator for laser speckle imaging of cerebral blood flow
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 [Formula: see text] and the relative velocity [Formula: see text] is derived. Based on the random process theor...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3369537/ https://www.ncbi.nlm.nih.gov/pubmed/20173842 http://dx.doi.org/10.1364/OE.18.000218 |
_version_ | 1782235074045935616 |
---|---|
author | Miao, Peng Li, Nan Thakor, Nitish V. Tong, Shanbao |
author_facet | Miao, Peng Li, Nan Thakor, Nitish V. Tong, Shanbao |
author_sort | Miao, Peng |
collection | PubMed |
description | 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 [Formula: see text] and the relative velocity [Formula: see text] 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 ( [Formula: see text]) 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. |
format | Online Article Text |
id | pubmed-3369537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-33695372012-10-01 Random process estimator for laser speckle imaging of cerebral blood flow Miao, Peng Li, Nan Thakor, Nitish V. Tong, Shanbao Opt Express Research-Article 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 [Formula: see text] and the relative velocity [Formula: see text] 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 ( [Formula: see text]) 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. Optical Society of America 2009-12-23 /pmc/articles/PMC3369537/ /pubmed/20173842 http://dx.doi.org/10.1364/OE.18.000218 Text en ©2010 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially. |
spellingShingle | Research-Article Miao, Peng Li, Nan Thakor, Nitish V. Tong, Shanbao Random process estimator for laser speckle imaging of cerebral blood flow |
title | Random process estimator for laser speckle imaging of cerebral blood flow |
title_full | Random process estimator for laser speckle imaging of cerebral blood flow |
title_fullStr | Random process estimator for laser speckle imaging of cerebral blood flow |
title_full_unstemmed | Random process estimator for laser speckle imaging of cerebral blood flow |
title_short | Random process estimator for laser speckle imaging of cerebral blood flow |
title_sort | random process estimator for laser speckle imaging of cerebral blood flow |
topic | Research-Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3369537/ https://www.ncbi.nlm.nih.gov/pubmed/20173842 http://dx.doi.org/10.1364/OE.18.000218 |
work_keys_str_mv | AT miaopeng randomprocessestimatorforlaserspeckleimagingofcerebralbloodflow AT linan randomprocessestimatorforlaserspeckleimagingofcerebralbloodflow AT thakornitishv randomprocessestimatorforlaserspeckleimagingofcerebralbloodflow AT tongshanbao randomprocessestimatorforlaserspeckleimagingofcerebralbloodflow |