Presentation
19 June 2024 Comparison of tissue parameters extracted by inverse adding-doubling and tissue indices in hyperspectral imaging
Author Affiliations +
Abstract
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.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Črt Keber, Tadej Tomanič, Jošt Stergar, Tim Božič, Simona Kranjc Brezar, Boštjan Markelc, Gregor Serša, and Matija Milanič "Comparison of tissue parameters extracted by inverse adding-doubling and tissue indices in hyperspectral imaging", Proc. SPIE PC13009, Clinical Biophotonics III, PC130090H (19 June 2024); https://doi.org/10.1117/12.3022393
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KEYWORDS
Tissues

Hyperspectral imaging

Monte Carlo methods

Computer simulations

Modeling

Reflectivity

Skin

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