Prediction of tissue thermal damage

Xin Li, Yongmin Zhong, Aleksandar Subic, Reza Nakhaie Jazar, Julian Smith, Chengfan Gu

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

This paper presents a method to characterize tissue thermal damage by taking into account the thermal-mechanical effect of soft tissues for thermal ablation. This method integrates the bio-heating conduction and non-rigid motion dynamics to describe thermal-mechanical behaviors of soft tissues and further extends the traditional tissue damage model to characterize thermal-mechanical damage of soft tissues. Simulations and comparison analysis demonstrate that the proposed method can effectively predict tissue thermal damage and it also provides reliable guidelines for control of the thermal ablation procedure.

Original languageEnglish
Pages (from-to)S625-S629
Number of pages5
JournalTechnology and Health Care
Volume24
DOIs
Publication statusPublished - 13 Jun 2016

Keywords

  • Bio-heat transfer
  • Thermal ablation
  • Tissue thermal damage
  • Tissue thermo-mechanical behaviors

Cite this

Li, X., Zhong, Y., Subic, A., Jazar, R. N., Smith, J., & Gu, C. (2016). Prediction of tissue thermal damage. Technology and Health Care, 24, S625-S629. https://doi.org/10.3233/THC-161189