Abstract
We developed a compact, hand-held hyperspectral imaging system for 2D neural network-based visualization of skin chromophores and blood oxygenation. State-of-the-art micro-optic multichannel matrix sensor combined with the tunable Fabry-Perot micro interferometer enables a portable diagnostic device sensitive to the changes of the oxygen saturation as well as the variations of blood volume fraction of human skin. Generalized object-oriented Monte Carlo model is used extensively for the training of an artificial neural network utilized for the hyperspectral image processing. In addition, the results are verified and validated via actual experiments with tissue phantoms and human skin in vivo. The proposed approach enables a tool combining both the speed of an artificial neural network processing and the accuracy and flexibility of advanced Monte Carlo modeling. Finally, the results of the feasibility studies and the experimental tests on biotissue phantoms and healthy volunteers are presented.
Highlights
Biomedical application of hyperspectral imaging [1] is nowadays an intensively developing area of the research supported by the recent technical progress in the instrument development and significant cost reduction
We developed a compact, hand-held hyperspectral imaging system for 2D neural network-based visualization of skin chromophores and blood oxygenation
State-of-the-art microoptic multichannel matrix sensor combined with the tunable Fabry-Perot micro interferometer enables a portable diagnostic device sensitive to the changes of the oxygen saturation as well as the variations of blood volume fraction of human skin
Summary
Biomedical application of hyperspectral imaging [1] is nowadays an intensively developing area of the research supported by the recent technical progress in the instrument development and significant cost reduction. Spectral images of skin and other biotissues contain information about the spatial distributions and concentrations of biological chromophores [16,17] such as oxy- and deoxyhemoglobin, melanin, bilirubin, etc. Multispectral measurements typically involve 4 to ∼10 wavelengths providing more consistent data for the analysis, while hyperspectral imaging devices are capable of measuring at up to hundreds of spectral bands
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