title: Prediction of tissue thermal damage.
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.
authors.affiliation: School of Engineering, RMIT University, Bundoora, VIC, Australia.
authors.forename: Xin
authors.initials: X
authors.lastname: Li
authors.affiliation: School of Engineering, RMIT University, Bundoora, VIC, Australia.
authors.forename: Yongmin
authors.initials: Y
authors.lastname: Zhong
authors.affiliation: Swinburne Research and Development, Swinburne University of Technology, Hawthorn, VIC, Australia.
authors.forename: Aleksandar
authors.initials: A
authors.lastname: Subic
authors.affiliation: School of Engineering, RMIT University, Bundoora, VIC, Australia.
authors.forename: Reza
authors.initials: R
authors.lastname: Jazar
authors.affiliation: Monash Medical Centre, Monash University, Clayton, VIC, Australia.
authors.forename: Julian
authors.initials: J
authors.lastname: Smith
authors.affiliation: School of Engineering, RMIT University, Bundoora, VIC, Australia.
authors.forename: Chengfan
authors.initials: C
authors.lastname: Gu
mesh_terms: D000465:Algorithms; D017115:Catheter Ablation; D003198:Computer Simulation; D003238:Connective Tissue / Q000528:radiation effects*; D006358:Hot Temperature; D006801:Humans; D008954:Models, Biological; D013814:Thermal Conductivity
keywords: Tissue thermal damage; bio-heat transfer; thermal ablation; tissue thermo-mechanical behaviors