A near-infrared spectroscopy computational model for cerebral hemodynamics

Area of Science:

• Biomedical Optics
• Computational Biology
• Medical Imaging

Background:

• Near-infrared spectroscopy (NIRS) measures tissue optical properties by analyzing light absorption, scattering, and refraction.
• NIRS detects changes in oxygenated hemoglobin, deoxygenated hemoglobin, and water concentrations.
• Reconstructing tissue optical properties from boundary sensor measurements enables imaging.

Purpose of the Study:

• To develop a computational method for rapid, noninvasive detection and quantification of cerebral hemorrhage.
• To utilize numerical simulations to mimic the NIRS procedure for brain tissue analysis.
• To predict the extent and severity of brain hemorrhage using noninvasive numerical measurements.

Main Methods:

• Employed CFD Research Corporation's finite volume computational biology code.
• Numerically simulated NIRS by 'penetrating' brain tissues and reconstructing optical properties.
• Performed 2D and 3D simulations to validate the numerical formulation for hemorrhage detection.

Main Results:

• Successfully reconstructed optical properties, including water, oxygenated, and deoxygenated blood presence.
• Demonstrated the feasibility of the numerical NIRS formulation for detecting and quantifying cerebral hemorrhage.
• Validated the technique's potential for qualitative and quantitative evaluation of cerebral hemodynamics.

Conclusions:

• The developed computational NIRS method offers a noninvasive approach for cerebral hemorrhage assessment.
• This technique can predict the extent and severity of brain injuries.
• Numerical NIRS holds promise for evaluating cerebral hemodynamics in real-time.