Autocorrelation analysis-based OCT velocimetry for axial blood flow velocity imaging of the cerebral capillary network
The accurate measurement of blood flow velocity in the capillary network is challenging due to the small size of the vessels and the slow flow of red blood cells (RBCs) within the vessel. Here, we introduce an autocorrelation analysis-based optical coherence tomography (OCT) method that takes less acquisition time to measure the axial blood flow velocity in the capillary network. The axial blood flow velocity was obtained from the phase change in the decorrelation period of the first-order field autocorrelation function (g) of the OCT field data, which was acquired with M-mode acquisition (repeated A-scans). The rotation center of g in the complex plane was first re-centralized to the origin, then the phase change due to the movement of RBCs was extracted in the g decorrelation period which is usually 0.2–0.5 ms. In phantom experiments, the results suggest that the proposed method could accurately measure the axial speed with a wide range of 0.5–15 mm/s. We further tested the method on living animals. Compared with the phase-resolved Doppler optical coherence tomography (pr-DOCT), the proposed method can obtain robust axial velocity measurements with more than five times shorter acquisition time.
NI Journal Papers
First ; Corresponding
Shenzhen Graduate School, Peking University;Shenzhen Graduate School, Peking University;Guangdong Science and Technology Department[2022A151];Guangdong Provincial Key Laboratory of Urology[2022B1212010003];Guangdong Science and Technology Department;National Natural Science Foundation of China;National Natural Science Foundation of China;
|WOS Research Area|
|WOS Accession No|
|ESI Research Field|
Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||Department of Biomedical Engineering|
Guangdongs Provincial Key Laboratory of Advanced Biomaterials,Department of Biomedical Engineering,Southern University of Science and Technology,Shenzhen,Guangdong,518055,China
|First Author Affilication||Department of Biomedical Engineering|
|Corresponding Author Affilication||Department of Biomedical Engineering|
|First Author's First Affilication||Department of Biomedical Engineering|
Guo，Xiangsen,Ren，Guangyuan,Tang，Jianbo. Autocorrelation analysis-based OCT velocimetry for axial blood flow velocity imaging of the cerebral capillary network[J]. Cancer Research,2023,48(13):3599-3602.
Guo，Xiangsen,Ren，Guangyuan,&Tang，Jianbo.(2023).Autocorrelation analysis-based OCT velocimetry for axial blood flow velocity imaging of the cerebral capillary network.Cancer Research,48(13),3599-3602.
Guo，Xiangsen,et al."Autocorrelation analysis-based OCT velocimetry for axial blood flow velocity imaging of the cerebral capillary network".Cancer Research 48.13(2023):3599-3602.
|Files in This Item:||There are no files associated with this item.|
|Recommend this item|
|Export to Endnote|
|Export to Excel|
|Export to Csv|
|Similar articles in Google Scholar|
|Similar articles in Baidu Scholar|
|Similar articles in Bing Scholar|
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.