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Hyperspectral imaging solutions for brain tissue metabolic and hemodynamic monitoring: past, current and future developments

Giannoni, L; Lange, F; Tachtsidis, I; (2018) Hyperspectral imaging solutions for brain tissue metabolic and hemodynamic monitoring: past, current and future developments. Journal of Optics , 20 (4) , Article 044009. 10.1088/2040-8986/aab3a6. Green open access

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Abstract

Hyperspectral imaging (HSI) technologies have been used extensively in medical research, targeting various biological phenomena and multiple tissue types. Their high spectral resolution over a wide range of wavelengths enables acquisition of spatial information corresponding to different light-interacting biological compounds. This review focuses on the application of HSI to monitor brain tissue metabolism and hemodynamics in life sciences. Different approaches involving HSI have been investigated to assess and quantify cerebral activity, mainly focusing on: (1) mapping tissue oxygen delivery through measurement of changes in oxygenated (HbO₂) and deoxygenated (HHb) hemoglobin; and (2) the assessment of the cerebral metabolic rate of oxygen (CMRO₂) to estimate oxygen consumption by brain tissue. Finally, we introduce future perspectives of HSI of brain metabolism, including its potential use for imaging optical signals from molecules directly involved in cellular energy production. HSI solutions can provide remarkable insight in understanding cerebral tissue metabolism and oxygenation, aiding investigation on brain tissue physiological processes.

Type: Article
Title: Hyperspectral imaging solutions for brain tissue metabolic and hemodynamic monitoring: past, current and future developments
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/2040-8986/aab3a6
Publisher version: https://doi.org/10.1088/2040-8986/aab3a6
Language: English
Additional information: Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. For further information see: http://creativecommons.org/licenses/by/3.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10046270
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