TY - GEN
T1 - Design of a skin grafting methodology for burn wound using an additive biomanufacturing system guided by hyperspectral imaging
AU - Ding, Houzhu
AU - Dole, Antonio
AU - Tourlomousis, Filippos
AU - Chang, Robert C.
N1 - Publisher Copyright:
Copyright © 2016 by ASME.
PY - 2016
Y1 - 2016
N2 - Skin thermal burn wounds are classified by depth and require different levels of medical intervention. In this paper, the authors propose a novel treatment method where hyperspectral imaging (HSI) is applied to measure skin burn wound information that guide an additive biomanufacturing process to print a custom engineered skin graft in three dimensions (3D). Two dimensional principle component analysis (2DPCA) for noise reduction is applied to images captured by HSI in the visible wavelength range from 375 nm to 750 nm. Amultivariate regression analysis is used to calculate hemodynamic biomarkers of skin burns, specifically the total hemoglobin concentration (tHb) and oxygen saturation (StO2) of the injured tissue. The biomarker results of the skin burn images are mapped spatially to show the burn wound depth distribution. Based on the biomarker values, the burn area is segmented into different sub areas with different burn degrees. Depth profiles of deep burns which require skin grafting are extracted from the burn distribution map. Next, each profile is processed to generate an additive biomanufacturing toolpath with a prescribed internal tissue scaffold structure. Using the toolpath, a 3D printer processes a custom graft from an alginate polymer hydrogel material. Alginate is chosen as the print material since it can be stretched into aligned fibers to create a porous structure that facilitates oxygen and nutrient uptake. The resultant printed construct demonstrates the feasibility of fabricating patientspecific tissues with custom-geometry grafts for treating clinical burns.
AB - Skin thermal burn wounds are classified by depth and require different levels of medical intervention. In this paper, the authors propose a novel treatment method where hyperspectral imaging (HSI) is applied to measure skin burn wound information that guide an additive biomanufacturing process to print a custom engineered skin graft in three dimensions (3D). Two dimensional principle component analysis (2DPCA) for noise reduction is applied to images captured by HSI in the visible wavelength range from 375 nm to 750 nm. Amultivariate regression analysis is used to calculate hemodynamic biomarkers of skin burns, specifically the total hemoglobin concentration (tHb) and oxygen saturation (StO2) of the injured tissue. The biomarker results of the skin burn images are mapped spatially to show the burn wound depth distribution. Based on the biomarker values, the burn area is segmented into different sub areas with different burn degrees. Depth profiles of deep burns which require skin grafting are extracted from the burn distribution map. Next, each profile is processed to generate an additive biomanufacturing toolpath with a prescribed internal tissue scaffold structure. Using the toolpath, a 3D printer processes a custom graft from an alginate polymer hydrogel material. Alginate is chosen as the print material since it can be stretched into aligned fibers to create a porous structure that facilitates oxygen and nutrient uptake. The resultant printed construct demonstrates the feasibility of fabricating patientspecific tissues with custom-geometry grafts for treating clinical burns.
KW - 3D bioprinting
KW - Additive biomanufacturing
KW - Hyperspectral Imaging
KW - Skin graft
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U2 - 10.1115/MSEC2016-8588
DO - 10.1115/MSEC2016-8588
M3 - Conference contribution
AN - SCOPUS:84991594272
T3 - ASME 2016 11th International Manufacturing Science and Engineering Conference, MSEC 2016
BT - Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing
T2 - ASME 2016 11th International Manufacturing Science and Engineering Conference, MSEC 2016
Y2 - 27 June 2016 through 1 July 2016
ER -