Extracting moving boundaries from dynamic, multislice CT images for fluid simulation

Andrew Kenneth Ho, Yoko Inamoto, Eiichi Saito, Sheldon Green, Sidney Fels

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A method for extracting solid boundary motion from dynamic CT images of a human oropharyngeal swallow is presented. The data-set has high spatial resolution ((Formula presented.)) but low temporal resolution (10 Hz). The low temporal resolution results in motion artefacts (i.e. blurring, ghosting) due to the fast moving solid structures. Automated segmentation and registration methods were not successful, so a tool for manual 3D deformable registration was created as a plug-in for the open-source modelling software, Blender. The tool gives users a high level of control to sculpt a mesh to match 3D volumetric image data. The resulting series of meshes, each corresponding to an instance in time, can be used in a fluid simulation using a technique such as smoothed-particle hydrodynamics.

Original languageEnglish
Pages (from-to)539-544
Number of pages6
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Volume6
Issue number5
DOIs
Publication statusPublished - 03-09-2018

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Fluids
Hydrodynamics
Deglutition
Artifacts
Software
Datasets

All Science Journal Classification (ASJC) codes

  • Computational Mechanics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

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Extracting moving boundaries from dynamic, multislice CT images for fluid simulation. / Ho, Andrew Kenneth; Inamoto, Yoko; Saito, Eiichi; Green, Sheldon; Fels, Sidney.

In: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, Vol. 6, No. 5, 03.09.2018, p. 539-544.

Research output: Contribution to journalArticle

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