HyperSIGHT project originally proposes HyperSpectral Imaging (HSI) for the real-time monitoring of thermal ablation effects on tissue. HSI provides the optical fingerprint of the media, obtainable by analysing the differential absorption of light wavelengths. Until now, the few faint attempts of the HSI use for thermal ablation assessment relied on the classical algorithms for data analysis. Conversely, HyperSIGHT aims at achieving a deeper comprehension of the physical phenomena underpinning the tissue spectral changes as function of the thermal response. In this framework, the most significant spectral components of biological tissues revealing a marked temperature dependence will be determined. This information will be used for the real-time monitoring of the ablation thermal outcome, and for procedure tuning. The research activities of HyperSIGHT are in synergy with ERC LASER OPTIMAL project, and require an integrated approach coupling biomedical optics, science and engineering methods of the heat-transfer into biological tissue, image processing.
Annalisa Orrico is the PhD student of the team involved in the HyperSIGHT project.
The last publication on this topic has been featured by the Editors of the Sensors Journal, and is accessible at this link:
De Landro, M.; Felli, E.; Collins, T.; Nkusi, R.; Baiocchini, A.; Barberio, M.; Orrico, A.; Pizzicannella, M.; Hostettler, A.; Diana, M.; Saccomandi, P. Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning. Sensors 2021, 21, 6934. https://doi.org/10.3390/s21206934