Presentation
7 March 2022 Investigation of speckle contrast optical tomography performance for imaging cerebral blood flow in a human head
Author Affiliations +
Abstract
High-density speckle contrast optical tomography (HD-SCOT) is a potentially attractive technique for bedside imaging of cerebral blood flow (CBF). To evaluate the performance of HD-SCOT, we built a pipeline with an anatomical head model for simulating measurements and reconstructed images. We observed that the cortical region is well represented by measurements with source-detector distance at least 29 mm. Including larger source-detector distances can reduce localization errors but with reduced signal-to-noise ratio (SNR). Imaging performance is highly dependent on the exposure time, with optimal exposure time dependent on the noise model. Future HD-SCOT systems will be designed using these results.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chen-Hao P. Lin, Inema E. Orukari, Lisa Kobayashi Frisk, Manish Verma, Sumana Chetia, Adam T. Eggebrecht, Turgut Durduran, Joseph P. Culver, and Jason W. Trobaugh "Investigation of speckle contrast optical tomography performance for imaging cerebral blood flow in a human head", Proc. SPIE PC11945, Clinical and Translational Neurophotonics 2022, PC1194502 (7 March 2022); https://doi.org/10.1117/12.2610101
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KEYWORDS
Head

Cerebral blood flow

Optical tomography

Signal to noise ratio

Speckle

Performance modeling

Distance measurement

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