Acta Optica Sinica, Volume. 43, Issue 7, 0717002(2023)
Detection Method of Regional Cerebral Blood Flow Based on Interferometric Diffusing Speckle Contrast Imaging Technology
Fig. 2. Schematic diagram of hardware composition of iDSCA imaging system for detecting rCBF
Fig. 3. Hardware composition and model diagram of phantom velocity experiment. (a) Hardware composition of phantom velocity experiment; (b) phantom model of regional blood flow in cerebral cortex
Fig. 4. Schematic diagram of in vivo experiment process. (a) Measurement mode of in vivo experiment; (b) picture of continuous noninvasive blood pressure monitor; (c) cuff-induced occlusion protocol
Fig. 5. Schematic diagram of iDSCA speckle imaging results of phantom velocity experiment
Fig. 6. Normalized fitting curve of multi-SD analysis varying with flow velocity. (a) Flow contrast; (b) coherence factor; (c) BFI
Fig. 7. Normalized fitting curve of BFI varying with standard flow in multi-TD and multi-SD analysis. (a) SD of 6 mm; (b) SD of 8 mm; (c) SD of 10 mm; (d) SD of 12 mm
Fig. 8. Waveform comparison of BFI and BP signals in time domain and frequency domain. (a) Time domain; (b) frequency domain
Fig. 9. Schematic diagram of BFI signal waveforms in three states in cuff-induced occlusion protocol
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Guang Han, Hao Feng, Siqi Chen, Zhe Zhao, Jinhai Wang, Huiquan Wang. Detection Method of Regional Cerebral Blood Flow Based on Interferometric Diffusing Speckle Contrast Imaging Technology[J]. Acta Optica Sinica, 2023, 43(7): 0717002
Category: Medical optics and biotechnology
Received: Sep. 27, 2022
Accepted: Nov. 15, 2022
Published Online: Apr. 6, 2023
The Author Email: Wang Huiquan (huiquan_tgu@126.com)