Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry

Tomanič, Tadej (author), Rogelj, Luka (author), Stergar, Jošt (author), Markelc, Boštjan (author), Božič, Tim (author), Kranjc Brezar, Simona (author), Serša, Gregor (author), Milanič, Matija (author)

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.

• Language: English
• Keywords: medical physics, hyperspectral imaging, diffuse reflectance spectroscopy, blood vessels, tumors, diffuse reflectance spectra, inverse adding-doubling, murine models, optical profilometry
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FMF - Faculty of Mathematics and Physics; ZF - Faculty of Health Sciences; MF - Faculty of Medicine
• Publication status: Published
• Publication version: Version of Record
• Year: 2023
• Number of pages: 16 str.
• Numbering: Vol. 16, iss. 1, art. e202200181
• PID: 20.500.12556/RUL-144024
• UDC: 616-073
• ISSN on article: 1864-0648
• DOI: 10.1002/jbio.202200181
• COBISS.SI-ID: 117950211
• Publication date in RUL: 26.01.2023

Record is a part of a journal

• Title: Journal of biophotonics
• Shortened title: J. biophotonics
• Publisher: Wiley
• ISSN: 1864-0648
• COBISS.SI-ID: 519053593

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: medicinska fizika, hiperspektralno slikanje, difuzna refleksijska spektroskopija, ožilje, tumorji