An image analysis toolbox for 3D vascular tracing and network topology

Robert H. Cudmore; Robert J. Zawadzki

doi:10.1117/12.3001224

12 March 2024 An image analysis toolbox for 3D vascular tracing and network topology

Robert H. Cudmore, Robert J. Zawadzki

Proceedings Volume 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; 128300B (2024) https://doi.org/10.1117/12.3001224
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Proper vascular structure and function is critical to maintain healthy tissue. Vascular dysfunction is a hallmark in a number of diseases including but not limited to Alzheimer’s disease, diabetes, hypertension, and the normal process of aging. It has become clear than an early biomarker for these disparate diseases is dysfunction in retinal vascular structure and function. There is a growing computational toolbox for the analysis of vascular networks yet there are few easy to use graphical-user-interfaces that bring these tools to mere biologists. Here we present a suite of graphical-user-interfaces for the tracing, curation, and analysis of retinal vascular networks from 3D imaging datasets. The goal of these tools is to provide the needed link between continual advances in computational analysis with easy to use graphical-user-interfaces that will allow ground-truth results. We present an analysis of optical coherence tomography angiography (OCTA) images acquired in mice in vivo.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Robert H. Cudmore and Robert J. Zawadzki "An image analysis toolbox for 3D vascular tracing and network topology", Proc. SPIE 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, 128300B (12 March 2024); https://doi.org/10.1117/12.3001224

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KEYWORDS

Image segmentation

3D mask effects

Image analysis

Optical coherence tomography

Visualization

3D image processing

Binary data

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