Kavli Affiliate: Changhuei Yang
| First 5 Authors: Ninghe Liu, Yu Xi Huang, Simon Mahler, Changhuei Yang,
| Summary:
Speckle contrast optical spectroscopy (SCOS) offers a non-invasive and
cost-effective method for monitoring cerebral blood flow (CBF). However,
extracting accurate CBF from SCOS necessitates precise noise pre-calibration.
Errors from this can degrade CBF measurement fidelity, particularly when the
overall signal level is low. Such errors primarily stem from residual speckle
contrast associated with camera and shot noise, whose fluctuations exhibit a
temporal structure that mimics cerebral blood volume (CBV) waveforms. We
propose an optimization-based framework that performs an adaptive refinement of
noise calibration, mitigating the CBV-mimicking artifacts by reducing the
CBF-CBV waveform correlation. Validated on 10 human subjects, our approach
effectively lowered the signal threshold for reliable CBF signal from 97 to 26
electrons per pixel for a 1920×1200 pixels SCOS system. This improvement
enables more accurate and robust CBF measurements in SCOS, especially at large
source-detector (SD) distances for deeper tissue interrogation.
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