Digital repository of Slovenian research organisations

Show document
A+ | A- | Help | SLO | ENG

Title:Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry
Authors:ID Tomanič, Tadej (Author)
ID Rogelj, Luka (Author)
ID Stergar, Jošt (Author)
ID Markelc, Boštjan (Author)
ID Božič, Tim (Author)
ID Kranjc Brezar, Simona (Author)
ID Serša, Gregor (Author)
ID Milanič, Matija (Author)
Files:.pdf PDF - Presentation file, download (3,79 MB)
MD5: 7CBDF3E6134B66F092DDDF5345C99D53
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Logo OI - Institute of Oncology
Abstract:Understanding tumors and their micro-environment are essential for successfuland accurate disease diagnosis. Tissuephysiology and morphology are altered intumors compared to healthy tissues, andthere is a need to monitor tumors and their surrounding tissues, includingblood vessels, non-invasively. This preliminary study utilizes a multimodaloptical imaging system combining hyperspectral imaging (HSI) and three-dimensional (3D) optical profilometry (OP) to capture hyperspectral imagesand surface shapes of subcutaneously grown murine tumor models. Hyper-spectral images are corrected with 3D OP data and analyzed using the inverse-adding doubling (IAD) method to extract tissue properties such as melaninvolume fraction and oxygenation. Blood vessels are segmented using theB-COSFIRE algorithm from oxygenation maps. From 3D OP data, tumor vol-umes are calculated and compared to manual measurements using a verniercaliper. Results show that tumors can be distinguished from healthy tissuebased on most extracted tissue parameters (p<0:05). Furthermore, blood oxy-genation is 50% higher within the blood vessels than in the surrounding tissue,and tumor volumes calculated using 3D OP agree within 26% with manualmeasurements using a vernier caliper. Results suggest that combining HSI andOP could provide relevant quantitative information about tumors and improvethe disease diagnosis.
Keywords:medical physics, hyperspectral imaging, diffuse reflectance spectroscopy, blood vessels, tumors
Publication status:In print
Publication version:Author Accepted Manuscript
Publisher:Wiley
Year of publishing:2022
Number of pages:28 str.
PID:20.500.12556/DiRROS-15462 New window
UDC:616-073
ISSN on article:1864-0648
DOI:10.1002/jbio.202200181 New window
COBISS.SI-ID:117950211 New window
Copyright:by Authors
Note:Nasl. z nasl. zaslona; Soavtorji: Luka Rogelj, Jost Stergar, Bostjan Markelc, Tim Bozic, Simona Kranjc Brezar, Gregor Sersa, Matija Milanic; Opis vira z dne 10. 8. 2022;
Publication date in DiRROS:08.09.2022
Views:530
Downloads:180
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
  
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Journal of biophotonics
Shortened title:J. biophotonics
Publisher:Wiley-VCH-Verl.
ISSN:1864-0648
COBISS.SI-ID:519053593 New window

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:P1-0389-2022
Name:Medicinska fizika

Funder:ARRS - Slovenian Research Agency
Project number:P3-0003-2022
Name:Razvoj in ovrednotenje novih terapij za zdravljenje malignih tumorjev

Funder:ARRS - Slovenian Research Agency
Project number:J3-3083-2021
Name:Vaskularizacija in vaskularni učinki kot prognostični dejavniki za zdravljenje tumorjev z lokalnimi ablacijskimi tehnikami

Funder:ARRS - Slovenian Research Agency
Project number:J3-2529-2020
Name:Vloga endotelija pri odgovoru tumorja na radioterapijo

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.
Licensing start date:08.09.2022

Secondary language

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


Back