Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry.
blood vessels
diffuse reflectance spectra
hyperspectral imaging
inverse adding-doubling
murine models
optical profilometry
tumors
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
revised:
27
07
2022
received:
18
06
2022
accepted:
05
08
2022
pubmed:
3
9
2022
medline:
27
1
2023
entrez:
2
9
2022
Statut:
ppublish
Résumé
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 (
Identifiants
pubmed: 36054067
doi: 10.1002/jbio.202200181
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202200181Informations de copyright
© 2022 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.
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