TY - JOUR
T1 - Detecting cerebral arteries and veins
T2 - From large to small
AU - Miao, Peng
AU - Li, Minheng
AU - Li, Nan
AU - Rege, Abhishek
AU - Zhu, Yisheng
AU - Thakor, Nitish
AU - Tong, Shanbao
N1 - Funding Information:
is supported by NIH/NIA1R01AG Tong is also supported by the New
Funding Information:
Century Talent Program by the Ministry of Education of China, and Shanghai Shuguang Program (07SG13). P. Miao is also supported by the China Scholarship Council.
Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010/1
Y1 - 2010/1
N2 - In this paper, a model-based reconstruction technique is proposed to simultaneously measure the relative deoxyhemoglobin concentration and the relative blood flow velocity in cerebral cortex. With the help of this model-based reconstruction technique, artifacts due to nonuniform laser illumination and curvature of cortex are efficiently corrected. The results of relative deoxy-hemoglobin concentration and relative blood flow velocity are then used to detect and distinguish cerebral arteries and veins. In an experimental study on rat, cerebral blood vessels are segmented from the reconstructed blood flow image by Otsu multiple threshold method. Afterwards, arteries and veins are distinguished by a simple fuzzy criterion based on the information of relative deoxyhemoglobin concentration.
AB - In this paper, a model-based reconstruction technique is proposed to simultaneously measure the relative deoxyhemoglobin concentration and the relative blood flow velocity in cerebral cortex. With the help of this model-based reconstruction technique, artifacts due to nonuniform laser illumination and curvature of cortex are efficiently corrected. The results of relative deoxy-hemoglobin concentration and relative blood flow velocity are then used to detect and distinguish cerebral arteries and veins. In an experimental study on rat, cerebral blood vessels are segmented from the reconstructed blood flow image by Otsu multiple threshold method. Afterwards, arteries and veins are distinguished by a simple fuzzy criterion based on the information of relative deoxyhemoglobin concentration.
KW - Intraoperative detection
KW - laser speckle contrast analysis (LASCA)
KW - laser speckle imaging (LSI)
KW - model based reconstruction
KW - optical intrinsic signal (OIS)
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U2 - 10.1142/S1793545810000794
DO - 10.1142/S1793545810000794
M3 - Article
AN - SCOPUS:80051764628
SN - 1793-5458
VL - 3
SP - 61
EP - 67
JO - Journal of Innovative Optical Health Sciences
JF - Journal of Innovative Optical Health Sciences
IS - 1
ER -