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Improving the quantitative accuracy of cerebral oxygen saturation in monitoring the injured brain using atlas based Near Infrared Spectroscopy models
Author(s) -
Clancy Michael,
Belli Antonio,
Davies David,
Lucas Samuel J. E.,
Su Zhangjie,
Dehghani Hamid
Publication year - 2016
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201500302
Subject(s) - near infrared spectroscopy , saturation (graph theory) , oxygenation , brain atlas , oxygen saturation , biomedical engineering , spectroscopy , brain tissue , atlas (anatomy) , oxygen , materials science , computer science , neuroscience , chemistry , medicine , artificial intelligence , physics , anesthesia , biology , mathematics , anatomy , organic chemistry , combinatorics , quantum mechanics
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.