Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry. Issue 1 (29th August 2022)

• Record Type: Journal Article
• Authors: Tomanic, Tadej; Rogelj, Luka; Stergar, Jost; Markelc, Bostjan; Bozic, Tim; Brezar, Simona Kranjc; Sersa, Gregor; Milanic, Matija
• Is Part Of: Journal of biophotonics. Volume 16:Issue 1(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-08-29
• Subjects: blood vessels -- diffuse reflectance spectra -- hyperspectral imaging -- inverse adding‐doubling -- murine models -- optical profilometry -- tumors; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.202200181
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract: 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 three‐dimensional (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 inverse‐adding 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. Abstract : Optical imaging techniques could monitor tumors and their microenvironment, including blood vessels, non‐invasively. This study uses combined hyperspectral imaging (HSI) and three‐dimensional (3D) optical profilometry (OP) to extract physiological and morphological tissue properties of four different murine tumor models and surrounding healthy tissue in the 430–750 nm spectral band. Furthermore, blood vessels are segmented from the tissue oxygenation maps, and tumor volumes are determined from 3D OP data.