Back to Search Start Over

Noninvasive continuous optical monitoring of absolute cerebral blood flow in critically ill adults

Authors :
Keith St. Lawrence
Wesley B. Baker
Lian He
Rickson C. Mesquita
Arjun G. Yodh
Kenneth Abramson
Olivia Amendolia
Venkaiah C. Kavuri
Jane Y. Jiang
Francis Quattrone
Ramani Balu
Daniel Milej
Mamadou Diop
W. Andrew Kofke
David R. Busch
Source :
Medical Biophysics Publications, Neurophotonics
Publication Year :
2018
Publisher :
Scholarship@Western, 2018.

Abstract

© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License 2017. We investigate a scheme for noninvasive continuous monitoring of absolute cerebral blood flow (CBF) in adult human patients based on a combination of time-resolved dynamic contrast-enhanced near-infrared spectroscopy (DCE-NIRS) and diffuse correlation spectroscopy (DCS) with semi-infinite head model of photon propogation. Continuous CBF is obtained via calibration of the DCS blood flow index (BFI) with absolute CBF obtained by intermittent intravenous injections of the optical contrast agent indocyanine green. A calibration coefficient (?) for the CBF is thus determined, permitting conversion of DCS BFI to absolute blood flow units at all other times. A study of patients with acute brain injury (N 7) is carried out to ascertain the stability of ?. The patientaveraged DCS calibration coefficient across multiple monitoring days and multiple patients was determined, and good agreement between the two calibration coefficients measured at different times during single monitoring days was found. The patient-averaged calibration coefficient of 1.24 × 109 omL/100 g/ min/ocm2/sp was applied to previously measured DCS BFI from similar brain-injured patients; in this case, absolute CBF was underestimated compared with XeCT, an effect we show is primarily due to use of semi-infinite homogeneous models of the head.

Details

Database :
OpenAIRE
Journal :
Medical Biophysics Publications, Neurophotonics
Accession number :
edsair.doi.dedup.....989ee8bed688eef5bc44285923c10941