In Vivo Assessment of Deep Vascular Patterns in Murine Colitis Using Optoacoustic Mesoscopic Imaging.
dextran sodium sulfate induced colitis
inflammatory bowel disease
murine acute colitis
optoacoustic imaging
photoacoustic imaging
raster‐scanning optoacoustic mesoscopy
vessel morphology analysis
Journal
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569
Informations de publication
Date de publication:
22 Oct 2024
22 Oct 2024
Historique:
revised:
15
08
2024
received:
29
04
2024
medline:
23
10
2024
pubmed:
23
10
2024
entrez:
23
10
2024
Statut:
aheadofprint
Résumé
The analysis of vascular morphology and functionality enables the assessment of disease activity and therapeutic effects in various pathologies. Raster-scanning optoacoustic mesoscopy (RSOM) is an imaging modality that enables the visualization of superficial vascular networks in vivo. In murine models of colitis, deep vascular networks in the colon wall can be visualized by transrectal absorber guide raster-scanning optoacoustic mesoscopy (TAG-RSOM). In order to accelerate the implementation of this technology in translational studies of inflammatory bowel disease, an image-processing pipeline for TAG-RSOM data has been developed. Using optoacoustic data from a murine model of chemically-induced colitis, different image segmentation methods are compared for visualization and quantification of deep vascular patterns in terms of vascular network length and complexity, blood volume, and vessel diameter. The presented image-processing pipeline for TAG-RSOM enables label-free in vivo assessment of changes in the vascular network in murine colitis with broad applications for inflammatory bowel disease research.
Identifiants
pubmed: 39439243
doi: 10.1002/advs.202404618
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2404618Subventions
Organisme : Else Kröner-Fresenius-Stiftung
Organisme : Cancer Research UK
ID : C9545/A29580
Pays : United Kingdom
Informations de copyright
© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.
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