Comparison of tissue parameters extracted by inverse adding-doubling and tissue indices in hyperspectral imaging

Hyperspectral imaging is a method that uses UV-NIR light to capture the physiological and morphological properties of biological tissues. A promising use case of HSI is the study and diagnosis of various types of tumors by extracting tissue parameters. This study examines various tissue indices as an alternative to tissue parameters extracted using the inverse adding-doubling (IAD) algorithm. Tissue indices were compared to tissue parameters extracted using IAD from simulated spectra, mice models, and healthy human forearms. Preliminary results indicate a positive linear correlation between melanin concentration and melanin indices, as well as total hemoglobin and hemoglobin indices. Tissue indices are promising for real-time tissue property extraction from hyperspectral images. They can potentially be used as a fast and accurate tool to aid in the diagnosis of tumors.