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Updated: Jan 22, 2026
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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
Published on: January 8, 2013
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Visualization of interpolated atrial fiber orientation using evenly-spaced streamlines
Ariane Saliani1, Alena Tsikhanovich1, Vincent Jacquemet1
1Université de Montréal, Département de Pharmacologie et Physiologie, Institut de Génie Biomédical, Montréal, Canada; Hôpital du Sacré-Coeur de Montréal, Centre de Recherche, Montréal, Canada.
Computers in Biology and Medicine
|July 14, 2019
Summary
This study introduces a novel method for visualizing fiber orientation in cardiac models using evenly-spaced streamlines. This technique enhances the clarity and comparability of atrial fiber structure in computational models.
Area of Science:
- Computational Biology
- Medical Imaging
- Biomedical Engineering
Background:
- Mathematical models of cardiac electrical propagation require accurate fiber orientation data.
- Visualizing fiber orientation on atrial surfaces presents graphical challenges, hindering model comparison.
Purpose of the Study:
- To develop a method for evenly-spaced streamline visualization of fiber orientation fields on triangulated surfaces.
- To improve the description and comparison of fiber structure in computational atrial models.
Main Methods:
- Proposed a method for placing evenly-spaced streamlines tangent to an orientation field on triangulated surfaces.
- Utilized seed points and defined stopping conditions to control streamline separation.
- Rendered streamlines as tubes for visual assessment.
Main Results:
- Successfully created fiber orientation fields using angle-based interpolation.
- Demonstrated that streamline density is controllable, with lateral distances between 1-2 times the separation distance.
- Showcased a trade-off between visualization quality (average streamline length) and processing speed via seed point selection.
Conclusions:
- Evenly-spaced streamline visualization offers a clear method for representing local fiber orientation.
- This technique facilitates the description and comparison of fiber structure in computational models of the atria.
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