Abstract
This paper presents a novel method for early detection of hematomas using highly sensitive optical fNIR imaging methods based on broadband photon migration. The NIR experimental measurements of inhomogeneous multi-layer phantoms representing human head are compared to 3D numerical modeling over broadband frequencies of 30–1000 MHz. A finite element method (FEM) simulation of the head phantom are compared to measurements of insertion loss and phase using custom-designed broadband free space optical transmitter (Tx) and receiver (Rx) modules that are developed for photon migration at wavelengths of 670 nm, 795 nm, 850 nm, though results of 670 nm are discussed here. Standard error is used to compute error between 3D FEM modeling and experimental measurements by fitting experimental data to the asqrt {frequency} + b . Error results are shown at narrowband and broadband frequency modulation in order to have confidence in 3D numerical modeling. A novel method is established here to identify presence of hematoma based on first and second derivatives of changes in insertion loss and phase (∆IL and ∆IP), where frequency modulated photons sensitive to different sizes of hematoma is identified for wavelength of 670 nm. The high accuracy of this comparison provides confidence in optical bio-imaging and its eventual application to TBI detection.
Highlights
Bio-imaging techniques have shown a great deal of confidence in improving the diagnosis and clinical care for civilians and military personnel, who experience a traumatic brain injury (TBI) due to sports, auto accidents, or explosions from improvised explosive device (IED) [1]
We have demonstrated for the first time numerical modeling in 3D using finite element method (FEM) and its accuracy compared to the actual experimental results of phantom based human brain activity for with and without
The accuracy of 3D numerical modeling is computed through the standard error calculation between numerical and curve fitted experimental result for wavelength of 670 nm
Summary
Bio-imaging techniques have shown a great deal of confidence in improving the diagnosis and clinical care for civilians and military personnel, who experience a traumatic brain injury (TBI) due to sports, auto accidents, or explosions from improvised explosive device (IED) [1].
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