Open AccessAssessment of a multi-layered diffuse correlation spectroscopy method for monitoring cerebral blood flow in adults
Author(s) -
Kyle Verdecchia,
Mamadou Diop,
Albert Lee,
Laura Morrison,
TingYim Lee,
Keith St. Lawrence
Publication year - 2016
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.7.003659
Subject(s) - cerebral blood flow , biomedical engineering , imaging phantom , blood flow , diffuse optical imaging , perfusion , brain tissue , signal (programming language) , cerebral perfusion pressure , materials science , medicine , nuclear medicine , tomography , radiology , computer science , anesthesia , programming language
Diffuse correlation spectroscopy (DCS) is a promising technique for brain monitoring as it can provide a continuous signal that is directly related to cerebral blood flow (CBF); however, signal contamination from extracerebral tissue can cause flow underestimations. The goal of this study was to investigate whether a multi-layered (ML) model that accounts for light propagation through the different tissue layers could successfully separate scalp and brain flow when applied to DCS data acquired at multiple source-detector distances. The method was first validated with phantom experiments. Next, experiments were conducted in a pig model of the adult head with a mean extracerebral tissue thickness of 9.8 ± 0.4 mm. Reductions in CBF were measured by ML DCS and computed tomography perfusion for validation; excellent agreement was observed by a mean difference of 1.2 ± 4.6% (CI 95% : -31.1 and 28.6) between the two modalities, which was not significantly different.