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Updated: Jul 24, 2025

Retrograde Perfusion and Filling of Mouse Coronary Vasculature as Preparation for Micro Computed Tomography Imaging

Retrograde Perfusion and Filling of Mouse Coronary Vasculature as Preparation for Micro Computed Tomography Imaging

Published on: February 10, 2012

Extended-volume image-derived models of coronary microcirculation.

Vibujithan Vigneshwaran^1,2, Christine Lauren Sy¹, Bruce H Smaill¹

¹Auckland Bioengineering Institute, Auckland, New Zealand.

Microcirculation (New York, N.Y. : 1994)

|July 1, 2023

Summary

This study developed a 3D image processing pipeline to analyze rat coronary microvasculature from large-scale datasets. The pipeline efficiently quantified microvessel morphology, revealing insights into vessel length and diameter distributions.

Keywords:

coronary microcirculation image processing large-scale imaging tissue clearing vascular network

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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

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Last Updated: Jul 24, 2025

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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

Published on: February 16, 2016

Area of Science:

Cardiovascular Research
Bioimaging
Computational Biology

Background:

Tissue clearing and high-throughput imaging enable detailed microvasculature analysis.
Processing terabyte-scale datasets presents significant computational challenges.

Purpose of the Study:

To develop and integrate 3D image processing steps for analyzing terabyte-scale microvasculature images.
To extract quantitative morphological data from coronary microvasculature in rat hearts.

Main Methods:

Acquired high-resolution, extended-volume images of rat coronary microvasculature (700 GB dataset).
Applied chunk-based image segmentation and graph generation for microvasculature quantification.
Focused on vessels with diameters up to 15 μm.

Main Results:

Successfully extracted morphological data for the entire coronary microvasculature ring within 16 hours.
Identified microvessel lengths ranging from 6 to 300 μm, with a mode skewed towards shorter lengths (16.5 μm).
Determined vessel diameters ranged from 3 to 15 μm, with a normal distribution centered around 6.5 ± 2 μm.

Conclusions:

The developed tools and techniques are valuable for microcirculation research.
The generated dataset will facilitate biophysical mechanism analysis using computational models.