20.500.12556/RUL-144024 Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry Understanding tumors and their microenvironment are essential for successful and accurate disease diagnosis. Tissue physiology and morphology are altered in tumors compared to healthy tissues, and there is a need to monitor tumors and their surrounding tissues, including blood vessels, non-invasively. This preliminary study utilizes a multimodal optical imaging system combining hyperspectral imaging (HSI) and threedimensional (3D) optical profilometry (OP) to capture hyperspectral images and surface shapes of subcutaneously grown murine tumor models. Hyperspectral images are corrected with 3D OP data and analyzed using the inverseadding doubling (IAD) method to extract tissue properties such as melanin volume fraction and oxygenation. Blood vessels are segmented using the B-COSFIRE algorithm from oxygenation maps. From 3D OP data, tumor volumes are calculated and compared to manual measurements using a vernier caliper. Results show that tumors can be distinguished from healthy tissue based on most extracted tissue parameters (p< 0.05). Furthermore, blood oxygenation is 50% higher within the blood vessels than in the surrounding tissue, and tumor volumes calculated using 3D OP agree within 26% with manual measurements using a vernier caliper. Results suggest that combining HSI and OP could provide relevant quantitative information about tumors and improve the disease diagnosis. medical physics hyperspectral imaging diffuse reflectance spectroscopy blood vessels tumors diffuse reflectance spectra inverse adding-doubling murine models optical profilometry medicinska fizika hiperspektralno slikanje difuzna refleksijska spektroskopija ožilje tumorji true false true Angleški jezik Slovenski jezik Članek v reviji 2023-01-26 14:37:25 2023-01-26 14:37:26 2023-01-27 03:35:46 0000-00-00 00:00:00 2023 0 0 16 str. iss. 1, art. e202200181 Vol. 16 Jan. 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 616-073 1864-0648 10.1002/jbio.202200181 117950211 Journal_of_Biophotonics_-_2022_-_Tomanic_-_Estimating_quantitativ.pdf Journal_of_Biophotonics_-_2022_-_Tomanic_-_Estimating_quantitativ.pdf 1 FD87ED952167F2BFEBD6F7CA79DB1AB4 128fa5a375a967cae896741cd6d4b55bc635ebf253745b026f6312e6d84cee1d ad8307cd-9d7f-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=166130 https://onlinelibrary.wiley.com/doi/10.1002/jbio.202200181 0 957b83c9-9d7f-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=166129 Fakulteta za matematiko in fiziko Zdravstvena fakulteta Medicinska fakulteta 0 0 0