A digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mapping
arxiv(2024)
摘要
Intraoperative optical imaging is a localization technique for the functional
areas of the human brain cortex during neurosurgical procedures. These areas
can be assessed by monitoring cerebral hemodynamics and metabolism. A robust
quantification of these biomarkers is complicated to perform during
neurosurgery due to the critical context of the operating room. In actual
devices, the inhomogeneities of the optical properties of exposed brain cortex
are poorly taken into consideration, which introduce quantification errors of
biomarkers of brain functionality. Moreover, the choice of the best spectral
configuration is still based on an empirical approach.
We propose a digital instrument simulator to optimize the development of
hyperspectral systems. This simulator can provide a realistic modelling of the
cerebral cortex and the identification of the optimal wavelengths to monitor
cerebral hemodynamics (oxygenated and deoxygenated hemoglobin) and metabolism
(oxidized state of cytochromes b, c and cytochrome-c-oxidase).
The digital instrument allows the modelling of intensity maps collected by a
camera sensor as well as images of pathlength to take into account the
inhomogeneities of the optical properties. The optimization procedure helps to
identify the best wavelength combination of 18 wavelengths that reduce the
quantification errors in HbO2, Hb, oxCCO of 61
gold standard of 121 wavelengths between 780 and 900 nm. The optimization
procedure does not help to resolve changes in cytochrome b and c in a
significant way but help to better resolve oxCCO changes.
We proposed a digital instrument simulator to optimize the development of
hyperspectral systems for intraoperative brain mapping studies. This digital
instrument simulator and this optimization framework could be used to optimize
the design of hyperspectral imaging devices.
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