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Related Experiment Video

Updated: Jul 6, 2026

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
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Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Published on: January 3, 2017

Multiscale vascular surface model generation from medical imaging data using hierarchical features.

Eric J Bekkers1, Charles A Taylor

  • 1Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA. ebekkers@stanford.edu

IEEE Transactions on Medical Imaging
|March 13, 2008
PubMed
Summary
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This study presents a new method for creating 3D vascular models from medical images for computational fluid dynamics (CFD) simulations. This approach improves the accuracy and efficiency of modeling complex blood flow in patient-specific geometries.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Science

Background:

  • Patient-specific computational fluid dynamics (CFD) modeling of blood flow offers valuable physiological insights for clinical decisions.
  • Generating accurate and efficient vascular models from medical images is crucial for these simulations.

Purpose of the Study:

  • To present a novel method for generating image-based, 3D, multiscale vascular surface models specifically for CFD applications.
  • To address challenges in modeling complex vascular geometries with wide ranges of vessel sizes.

Main Methods:

  • Developed a method to generate multiscale surfaces using linear triangulated or NURB representations.
  • Integrated local curvature and global feature analysis to determine mesh element size.

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Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies
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Last Updated: Jul 6, 2026

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
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Published on: January 3, 2017

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies
08:49

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies

Published on: May 23, 2025

  • Implemented semi-automated detection and trimming of inlet/outlet vessels.

    • Main Results:

    • The method produces multiscale surfaces suitable for CFD.
    • Mesh element sizing is optimized using curvature and feature analysis.
    • Semi-automated vessel trimming streamlines model construction.

    Conclusions:

    • The novel method facilitates the creation of accurate and efficient vascular models for CFD.
    • It is particularly beneficial for complex geometries and when balancing mesh accuracy with computational cost.
    • This approach aids in guiding clinical decision-making through improved blood flow modeling.