Prof. Owen B. Samuels Profile

Prof. Owen B. Samuels

at Emory Univ

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Publications (4)

SPIE Journal Paper | 15 December 2023 Open Access

Comparison of diffuse correlation spectroscopy analytical models for measuring cerebral blood flow in adults

Hongting Zhao, Eashani Sathialingam, Kyle R. Cowdrick, Tara Urner, Seung Yup Lee, Shasha Bai, Feras Akbik, Owen B. Samuels, Prem Kandiah, Ofer Sadan, Erin M. Buckley

JBO, Vol. 28, Issue 12, 126005, (December 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.12.126005

KEYWORDS: Analytic models, Data modeling, Blood circulation, Skull, Performance modeling, Spectroscopy, Brain, Cerebral blood flow, Signal to noise ratio, Velocity measurements

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SignificanceAlthough multilayer analytical models have been proposed to enhance brain sensitivity of diffuse correlation spectroscopy (DCS) measurements of cerebral blood flow, the traditional homogeneous model remains dominant in clinical applications. Rigorous in vivo comparison of these analytical models is lacking.AimWe compare the performance of different analytical models to estimate a cerebral blood flow index (CBFi) with DCS in adults.ApproachResting-state data were obtained on a cohort of 20 adult patients with subarachnoid hemorrhage. Data at 1 and 2.5 cm source-detector separations were analyzed with the homogenous, two-layer, and three-layer models to estimate scalp blood flow index and CBFi. The performance of each model was quantified via fitting convergence, fit stability, brain-to-scalp flow ratio (BSR), and correlation with transcranial Doppler ultrasound (TCD) measurements of cerebral blood flow velocity in the middle cerebral artery (MCA).ResultsThe homogeneous model has the highest pass rate (100%), lowest coefficient of variation (CV) at rest (median [IQR] at 1 Hz of 0.18 [0.13, 0.22]), and most significant correlation with MCA blood flow velocities (Rs = 0.59, p = 0.010) compared with both the two- and three-layer models. The multilayer model pass rate was significantly correlated with extracerebral layer thicknesses. Discarding datasets with non-physiological BSRs increased the correlation between DCS measured CBFi and TCD measured MCA velocities for all models.ConclusionsWe found that the homogeneous model has the highest pass rate, lowest CV at rest, and most significant correlation with MCA blood flow velocities. Results from the multilayer models should be taken with caution because they suffer from lower pass rates and higher coefficients of variation at rest and can converge to non-physiological values for CBFi. Future work is needed to validate these models in vivo, and novel approaches are merited to improve the performance of the multimodel models.

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Proceedings Article | 17 March 2023 Presentation

Diffuse correlation spectroscopy measured cerebral blood flow is associated with outcome after subarachnoid hemorrhage

Eashani Sathialingam, Kyle Cowdrick, Tara Urner, Shasha Bai, Feras Akbik, Owen Samuels, Prem Kandiah, Ofer Sadan, Erin Buckley

Proceedings Volume 12364, 123640K (2023) https://doi.org/10.1117/12.2649170

KEYWORDS: Cerebral blood flow, Spectroscopy, Information technology, Floods, Calcium

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Proceedings Article | 5 March 2021 Presentation

Non-invasive estimation of intracranial pressure by fast diffuse correlation spectroscopy: a multi-center study

Jonas Fischer, Susanna Tagliabue, Federica Maruccia, Amelia Jiménez-Sánchez, Eashani Sathialingam, Wesley Baker, Aykut Eken, Ameer Ghouse, Anna Rey-Perez, Marcelino Báguena, Katiuska Rosas, Ofer Sadan, Prem Kandiah, Owen Samuels, Ramani Balu, Riccardo Zucca, Udo Weigel, David Busch, Erin Buckley, Arjun Yodh, Daniel Licht, W. Andrew Kofke, Maria Poca, Gemma Piella, Juan Sahuquillo, Turgut Durduran

Proceedings Volume 11639, 1163912 (2021) https://doi.org/10.1117/12.2577561

KEYWORDS: Spectroscopy, Data modeling, Traumatic brain injury, Statistical analysis, Optical testing, Neural networks, Machine learning, Data analysis, Blood circulation

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Proceedings Article | 5 March 2021 Presentation

Cerebral blood flow monitoring in subarachnoid hemorrhage patients with diffuse correlation spectroscopy

Eashani Sathialingam, Kyle Cowdrick, Amanda Liew, Seung Yup Lee, Feras Akbik, Owen Samuels, Prem Kandiah, Ofer Sadan, Erin Buckley

Proceedings Volume 11629, 116291C (2021) https://doi.org/10.1117/12.2578634

KEYWORDS: Cerebral blood flow, Spectroscopy, Information technology, Calcium, Brain, Blood vessels, Blood circulation

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