TY - GEN
T1 - Comparison of photometric stereo and spectral analysis for visualization and assessment of burn injury from hyperspectral imaging
AU - Ding, Houzhu
AU - Chang, Robert C.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - Burn wounds resulting from thermal insult to the skin are typically classified according to varying depth and therefore require differential levels of medical intervention. In this paper, two methods are proposed for assessing burn injury. The two methods compared are photometric stereo (PS) and spectral analysis. Firstly, PS represents a robust topography recovery algorithm that is implemented to reconstruct the burn and normal skin tissue from multiple hyperspectral images under different illumination conditions. This enabled the visualization of a 3D skin depth map which is used to assess the burn degree. Next, the hyperspectral measurement data of the skin are analyzed to assess partial thickness thermal injury with functional correlation through hemodynamic parameters related to tissue perfusion and oxygen delivery. Two dimensional principle component analysis (2DPCA) is used for noise reduction towards extracting features from the hyperspectral images within the wavelength range from 375 nm to 1050 nm. This is followed by applying the spectral analysis algorithm to calculate oxygen saturation fraction and concentration of total hemoglobin, where each parameter provided a biomarker of injured tissue. The two methods yielded alternative indicators for burn assessment that could be correlated with each other. Specifically, the spectral measurement result could be used as a reference value for the physical skin site depth map.
AB - Burn wounds resulting from thermal insult to the skin are typically classified according to varying depth and therefore require differential levels of medical intervention. In this paper, two methods are proposed for assessing burn injury. The two methods compared are photometric stereo (PS) and spectral analysis. Firstly, PS represents a robust topography recovery algorithm that is implemented to reconstruct the burn and normal skin tissue from multiple hyperspectral images under different illumination conditions. This enabled the visualization of a 3D skin depth map which is used to assess the burn degree. Next, the hyperspectral measurement data of the skin are analyzed to assess partial thickness thermal injury with functional correlation through hemodynamic parameters related to tissue perfusion and oxygen delivery. Two dimensional principle component analysis (2DPCA) is used for noise reduction towards extracting features from the hyperspectral images within the wavelength range from 375 nm to 1050 nm. This is followed by applying the spectral analysis algorithm to calculate oxygen saturation fraction and concentration of total hemoglobin, where each parameter provided a biomarker of injured tissue. The two methods yielded alternative indicators for burn assessment that could be correlated with each other. Specifically, the spectral measurement result could be used as a reference value for the physical skin site depth map.
KW - 3D visualization
KW - burn depth
KW - hyperspectral image
KW - oxygen saturation
KW - photometric stereo
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U2 - 10.1109/CIVEMSA.2015.7158598
DO - 10.1109/CIVEMSA.2015.7158598
M3 - Conference contribution
AN - SCOPUS:84943170731
T3 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
BT - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
T2 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
Y2 - 12 June 2015 through 14 June 2015
ER -