Improving the quantitative accuracy of cerebral oxygen saturation in monitoring the injured brain using atlas based Near Infrared Spectroscopy models

Michael Clancy, Antonio Belli, David Davies, Samuel J E Lucas, Zhangjie Su, Hamid Dehghani

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The application of Near Infrared Spectroscopy (NIRS) for the monitoring of the cerebral oxygen saturation within the brain is well established, albeit using temporal data that can only measure relative changes of oxygenation state of the brain from a baseline. The focus of this investigation is to demonstrate that hybridisation of existing near infrared probe designs and reconstruction techniques can pave the way to produce a system and methods that can be used to monitor the absolute oxygen saturation in the injured brain. Using registered Atlas models in simulation, a novel method is outlined by which the quantitative accuracy and practicality of NIRS for specific use in monitoring the injured brain, can be improved, with cerebral saturation being recovered to within 10.1 ± 1.8% of the expected values.

Original languageEnglish
JournalJournal of Biophotonics
Early online date22 Mar 2016
DOIs
Publication statusPublished - 2016

Fingerprint

Dive into the research topics of 'Improving the quantitative accuracy of cerebral oxygen saturation in monitoring the injured brain using atlas based Near Infrared Spectroscopy models'. Together they form a unique fingerprint.

Cite this