Thermal Imaging Data for Cryotherapy Model Validation

Oleh V. Ivakhnenko developed a mathematical model to predict subsurface temperature during cryotherapy using surface thermal imaging. The model was validated against experimental data from hydrogel cryoapplications and in vivo studies on rats. The raw data supporting Figure 2 of this research is available as a 15.7 KB Excel file.

Use Cases

• Validate mathematical models of temperature penetration depth based on surface thermal imaging data
• Compare in vitro and in vivo thermal field dynamics using experimental hydrogel and tissue data
• Estimate optimal cryotherapy duration to minimize damage to healthy cells using simulated freezing behavior

Strengths

• Data is associated with a validated mathematical model for cryotherapy
• Model implementation uses GPU for fast and efficient simulation
• Dataset is openly available under a CC-BY-4.0 license

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Dataset size is 15.7 KB, indicating a very limited scope

Provenance

Source

figshare

Collection Method

Likely generated from experimental and simulation studies for model validation.

Freshness

Last updated 2026-04-16 17:36:47; freshness should be verified