An efficient numerical technique for bioheat simulations and its application to computerized cryosurgery planning

Area of Science:

• Computational modeling
• Biomedical engineering
• Cryosurgery

Background:

• Computerized planning tools for cryosurgery are under development.
• Bioheat transfer simulations are computationally intensive, limiting clinical relevance.
• A force-field analogy algorithm relies on these simulations.

Purpose of the Study:

• To develop an efficient numerical technique for bioheat transfer simulations.
• To reduce the computational run time of cryosurgery planning methods.
• To enhance the clinical applicability of computerized cryosurgery planning tools.

Main Methods:

• Development of a finite difference numerical scheme.
• Application of variable grid size and time intervals.
• Focus on the phase change problem specific to cryosurgery.

Main Results:

• The study presents a novel finite difference scheme for bioheat transfer.
• The technique is designed to significantly reduce simulation run times.
• This addresses the computational bottleneck in cryosurgery planning.

Conclusions:

• The developed numerical scheme offers an efficient approach to bioheat transfer simulations.
• This advancement contributes to making computerized cryosurgery planning more clinically feasible.
• The unique application to cryosurgery's phase change problem is highlighted.