Improving the quantitative accuracy of cerebral oxygen saturation in monitoring the injured brain using atlas based Near Infrared Spectroscopy models. Issue 8 (22nd March 2016)

• Record Type: Journal Article
• Authors: Clancy, Michael; Belli, Antonio; Davies, David; Lucas, Samuel J. E.; Su, Zhangjie; Dehghani, Hamid
• Other Names: Vitkin Alex guestEditor.; Kirillin Mikhail guestEditor.; Zagaynova Elena guestEditor.
• Is Part Of: Journal of biophotonics. Volume 9:Issue 8(2016)
• Page Start: 812
• Page End: 826
• Publication Date: 2016-03-22
• Subjects: near infrared spectroscopy -- diffuse optical tomography -- brain injury; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201500302
• Languages: English
• ISSNs: 1864-063X

Abstract

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. Abstract : Utilisation of 3D Atlas models and localised high density NIR spectroscopic measurements improves the quantitative accuracy of recovered baseline measurements, such as cerebral oxygenation.