Swell Geometry Data for Intracardiac Flow Analysis

A 5.5 KB dataset contains experimental and computational data for analyzing intracardiac flow using tissue-mimicking models. It was created by Megan Laughlin and last updated on 2026-05-15. The data compares pressure-drop measurements across axisymmetric swell and idealized left ventricle geometries using direct pressure, blood speckle imaging, and 3D CFD simulations.

Use Cases

• Validate computational fluid dynamics models based on experimental pressure-drop data.
• Compare 2D blood speckle imaging results with direct pressure measurements.
• Study the impact of phantom design, such as gel thickness, on flow pattern measurements.
• Benchmark fluid-structure interaction simulations for cardiac applications.

Strengths

• Data compares three distinct measurement methods: direct pressure, 2D blood speckle imaging, and 3D computational fluid dynamics.
• Dataset is openly available under a CC-BY-4.0 license.
• Focuses on two specific, well-defined geometries: an axisymmetric swell and an idealized left ventricle.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Data derived from experimental tissue-mimicking phantoms and 3D computational fluid dynamics simulations with fluid-structure interaction.

Freshness

Last updated 2026-05-15 17:39:36; freshness should be verified.