Thermal Imaging Data for Cryotherapy Model Validation

30 KB of raw data supporting a GPU-based mathematical model for predicting subsurface temperature distribution during cryotherapy. The data likely contains simulation results validated against experimental hydrogel and in vivo rat studies. Author Oleh V. Ivakhnenko published the dataset on figshare under a CC-BY-4.0 license.

Use Cases

• Validate mathematical models for temperature penetration depth based on surface thermal imaging.
• Simulate freezing behavior in hydrogels and multilayered biological tissues.
• Estimate optimal cryotherapy duration to minimize damage to healthy cells.
• Compare in vitro and in vivo thermal field dynamics during freeze-thawing.

Strengths

• Data supports a validated mathematical model for predicting subsurface temperature distribution.
• Model implementation uses GPU for fast and efficient simulation of freezing behavior.
• Validation includes comparisons with experimental hydrogel cryoapplications and in vivo rat studies.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 30 KB size indicates a very limited scope of data.

Provenance

Source

figshare

Collection Method

Likely generated from simulations and experimental validation.

Freshness

Last updated 2026-04-16 17:36:50; freshness should be verified.