https://www.selleckchem.com/products/SGX-523.html
Significance Contamination of diffuse correlation spectroscopy (DCS) measurements of cerebral blood flow (CBF) due to systemic physiology remains a significant challenge in the clinical translation of DCS for neuromonitoring. Tunable, multi-layer Monte Carlo-based (MC) light transport models have the potential to remove extracerebral flow cross-talk in cerebral blood flow index ( CBF i ) estimates. Aim We explore the effectiveness of MC DCS models in recovering accurate CBF i changes in the presence of strong systemic physiology variati
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