SKYQUANT 3D: Quantifying Vascular Anatomy With an Open-Source Workflow for Comprehensive Analysis of Volumetric Optoacoustic Angiography Data.

Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101318567 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1864-0648 (Electronic) Linking ISSN: 1864063X NLM ISO Abbreviation: J Biophotonics Subsets: MEDLINE

Original Publication: Weinheim : Wiley-VCH

Photoacoustic Techniques*/methods ; Angiography* ; Imaging, Three-Dimensional* ; Workflow* ; Software*; Animals ; Humans ; Blood Vessels/diagnostic imaging

Efficient visualization of the vascular system is of key importance in biomedical research into tumor angiogenesis, cerebrovascular alterations, and other angiopathies. Optoacoustic (OA) angiography offers a promising solution combining molecular optical contrast with high resolution and deep penetration of ultrasound. However, its hybrid nature implies complex data collection and processing workflows, with significant variability in methodologies across developers and users. To streamline interoperability, we introduce SKYQUANT 3D, a Python-based set of instructions for the Thermo Fisher Scientific Amira/Avizo 3D Visualization & Analysis Software. Our workflow simplifies the batch processing of volumetric optoacoustic angiography images, extracting meaningful quantitative information while also providing statistical analysis and graphical representation of the results. Quantification performance of SKYQUANT 3D is demonstrated using functional preclinical and clinical in vivo 3D OA angiographic tests involving ambient temperature variations and repositioning of the imaged limb.
(© 2024 The Author(s). Journal of Biophotonics published by Wiley‐VCH GmbH.)

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19-75-10055 Russian Science Foundation (RSF) Project; FFUF-2021-0014 Governmental Project of the Institute of Applied Physics RAS; FSWR-2020-0035 Ministry of Science and Higher Education of the Russian Federation; 075-15-2022-316 Ministry of Science and Higher Education of the Russian Federation; 62022037 National Natural Science Foundation of China; KFS-5234-02-2021 Swiss Cancer Research

Keywords: 3D imaging; Amira; Avizo; angiographic imaging; angiography; image analysis; optoacoustics; vascular anatomy; workflow

Date Created: 20241009 Date Completed: 20241110 Latest Revision: 20241110

20241114

10.1002/jbio.202400143

39384323