TY - JOUR
T1 - High resolution cerebral blood flow imaging by registered laser speckle contrast analysis
AU - Miao, Peng
AU - Rege, Abhishek
AU - Li, Nan
AU - Thakor, Nitish V.
AU - Tong, Shanbao
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010/5
Y1 - 2010/5
N2 - Laser speckle imaging (LSI) has been widely used for in vivo detecting cerebral blood flow (CBF) under various physiological and pathological conditions. So far, nearly all literature on in vivo LSI does not consider the influence of disturbances due to respiration and/or heart beating of animals. In this paper, we analyze how such physiologic motions affect the spatial resolution of the conventional laser speckle contrast analysis (LASCA).We propose a registered laser speckle contrast analysis (rLASCA) method which first registers raw speckle images with a 3×3 convolution kernel, normalized correlation metric and cubic B-spline interpolator, and then constructs the contrast image for CBF. rLASCA not only significantly improves the distinguishability of small vessels, but also efficiently suppresses the noises induced by respiration and/or heart beating. In an application of imaging the angiogenesis of rat's brain tumor, rLASCA outperformed the conventional LASCA in providing a much higher resolution for new small vessels. As a processing method for LSI, rLASCA can be directly applied to other LSI experiments where the disturbances from different sources (like respiration, heart beating) exist.
AB - Laser speckle imaging (LSI) has been widely used for in vivo detecting cerebral blood flow (CBF) under various physiological and pathological conditions. So far, nearly all literature on in vivo LSI does not consider the influence of disturbances due to respiration and/or heart beating of animals. In this paper, we analyze how such physiologic motions affect the spatial resolution of the conventional laser speckle contrast analysis (LASCA).We propose a registered laser speckle contrast analysis (rLASCA) method which first registers raw speckle images with a 3×3 convolution kernel, normalized correlation metric and cubic B-spline interpolator, and then constructs the contrast image for CBF. rLASCA not only significantly improves the distinguishability of small vessels, but also efficiently suppresses the noises induced by respiration and/or heart beating. In an application of imaging the angiogenesis of rat's brain tumor, rLASCA outperformed the conventional LASCA in providing a much higher resolution for new small vessels. As a processing method for LSI, rLASCA can be directly applied to other LSI experiments where the disturbances from different sources (like respiration, heart beating) exist.
KW - Cubic B-spline interpolation
KW - Laser speckle imaging (LSI)
KW - Normalized correlation registration
KW - Registered laser speckle contrast analysis (rLASCA)
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U2 - 10.1109/TBME.2009.2037434
DO - 10.1109/TBME.2009.2037434
M3 - Article
C2 - 20142159
AN - SCOPUS:77951282054
SN - 0018-9294
VL - 57
SP - 1152
EP - 1157
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 5
M1 - 5406081
ER -