Paper
17 February 2009 Laser speckle imaging of rat retinal blood flow with hybrid temporal and spatial analysis method
Haiying Cheng, Yumei Yan, Timothy Q. Duong
Author Affiliations +
Proceedings Volume 7163, Ophthalmic Technologies XIX; 716304 (2009) https://doi.org/10.1117/12.809906
Event: SPIE BiOS, 2009, San Jose, California, United States
Abstract
Noninvasive monitoring of blood flow in retinal circulation will reveal the progression and treatment of ocular disorders, such as diabetic retinopathy, age-related macular degeneration and glaucoma. A non-invasive and direct BF measurement technique with high spatial-temporal resolution is needed for retinal imaging. Laser speckle imaging (LSI) is such a method. Currently, there are two analysis methods for LSI: spatial statistics LSI (SS-LSI) and temporal statistical LSI (TS-LSI). Comparing these two analysis methods, SS-LSI has higher signal to noise ratio (SNR) and TSLSI is less susceptible to artifacts from stationary speckle. We proposed a hybrid temporal and spatial analysis method (HTS-LSI) to measure the retinal blood flow. Gas challenge experiment was performed and images were analyzed by HTS-LSI. Results showed that HTS-LSI can not only remove the stationary speckle but also increase the SNR. Under 100% O2, retinal BF decreased by 20-30%. This was consistent with the results observed with laser Doppler technique. As retinal blood flow is a critical physiological parameter and its perturbation has been implicated in the early stages of many retinal diseases, HTS-LSI will be an efficient method in early detection of retina diseases.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiying Cheng, Yumei Yan, and Timothy Q. Duong "Laser speckle imaging of rat retinal blood flow with hybrid temporal and spatial analysis method", Proc. SPIE 7163, Ophthalmic Technologies XIX, 716304 (17 February 2009); https://doi.org/10.1117/12.809906
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Cited by 5 scholarly publications.
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KEYWORDS
Speckle

Blood circulation

Signal to noise ratio

Spatial resolution

Statistical analysis

Laser speckle imaging

Oxygen

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