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Near-infrared (NIR) optical imaging systems are developed in an effort to maximize signal to noise ratio (SNR). Recently, a SmartPhone Oxygenation Tool (SPOT) was developed to obtain tissue oxygenation maps from dual-wavelength NIR images. Herein, several noise removal techniques are implemented to the NIR data obtained with SPOT in an effort to improve SNR for low-cost effective imaging of tissue oxygenation maps. NIR and oxygenation changes obtained from standard occlusion studies on normal subjects are compared with and without the noise removal techniques and the improvement in SNR is assessed.
Kacie Kaile andAnuradha Godavarty
"Noise removal techniques in smartphone based near infrared imaging of tissue oxygenation changes", Proc. SPIE 11639, Optical Tomography and Spectroscopy of Tissue XIV, 116391L (5 March 2021); https://doi.org/10.1117/12.2578816
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Kacie Kaile, Anuradha Godavarty, "Noise removal techniques in smartphone based near infrared imaging of tissue oxygenation changes," Proc. SPIE 11639, Optical Tomography and Spectroscopy of Tissue XIV, 116391L (5 March 2021); https://doi.org/10.1117/12.2578816