Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Structural and Gas-Sensitive Characteristics of In<sub>2</sub>O<sub>3</sub>: Effect of Hydrothermal/Solvothermal Synthesis Conditions.

Micromachines·2025
Same author

Computational modeling of cough-induced droplets and mucosal film dynamics in the upper airway for pulmonary disease classification.

Frontiers in physiology·2025
Same author

Tissue mimicking hydrogel foam materials with mechanical and radiological properties equivalent to human lung.

Scientific reports·2025
Same author

Prediction of directional solidification in freeze casting of biomaterial scaffolds using physics-informed neural networks.

Biomedical physics & engineering express·2024
Same author

Structure, Conductivity, and Sensor Properties of Nanosized ZnO-In<sub>2</sub>O<sub>3</sub> Composites: Influence of Synthesis Method.

Micromachines·2023
Same author

Synthesis, Structural and Sensor Properties of Nanosized Mixed Oxides Based on In<sub>2</sub>O<sub>3</sub> Particles.

International journal of molecular sciences·2023

Related Experiment Video

Updated: May 28, 2026

Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation
09:32

Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation

Published on: September 19, 2018

Processing and Modeling of Alginate Hydrogel for Radiologically-Equivalent Biomedical Phantoms.

Olusegun J Ilegbusi1, Godson N Brako1, Chiranjit Maiti1

  • 1Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA.

Gels (Basel, Switzerland)
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

Foaming hydrogels can mimic soft tissues for biomedical phantoms. This study developed a computational fluid dynamics (CFD) model to control void fraction distribution for tailored radiological properties.

Keywords:
Hounsfield Unitalginate hydrogelbubble dispersioncomputational fluid dynamicsradiological propertyradiologically equivalent phantomvoid fraction

More Related Videos

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning
08:41

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure
10:22

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Published on: February 12, 2018

Related Experiment Videos

Last Updated: May 28, 2026

Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation
09:32

Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation

Published on: September 19, 2018

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning
08:41

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure
10:22

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Published on: February 12, 2018

Area of Science:

  • Biomaterials Science
  • Computational Fluid Dynamics
  • Medical Imaging

Background:

  • Hydrogel foaming is crucial for creating biomedical phantoms with tunable mechanical and radiological properties.
  • Accurate replication of biological soft tissues requires precise control over void fraction distribution.
  • Computational Fluid Dynamics (CFD) offers a potential framework for predicting and optimizing hydrogel foaming processes.

Purpose of the Study:

  • To develop and utilize a CFD framework for predicting void fraction distribution in aerated alginate hydrogel precursor solutions.
  • To guide the design of foaming systems for achieving desired gas-fraction distribution and radiological properties in biomedical phantoms.
  • To investigate the influence of key parameters on void fraction distribution and its correlation with radiological properties.

Main Methods:

  • Development of a CFD framework to simulate air injection and bubble plume dynamics in alginate solutions.
  • Parametric investigation of seven cases varying inlet air velocity, alginate concentration, and surface tension.
  • Mapping predicted void fractions to Hounsfield Unit (HU) values to assess radiological properties.

Main Results:

  • Higher inlet air velocities increased jet penetration and gas accumulation.
  • Increased alginate concentration confined the bubble plume, showing a non-monotonic trend in gas fraction.
  • Elevated surface tension improved gas distribution uniformity but reduced peak void fraction.

Conclusions:

  • The CFD framework successfully predicts void fraction distribution in foamed hydrogels.
  • Parametric control of foaming conditions allows tailoring of radiological properties for phantom applications.
  • Predicted HU values correlate with biological tissue attenuation, validating the approach for phantom development.