Parallel Algorithm for Solving 3-D Freezing Problems in Biological Tissues during Cryosurgery

Abstract:

Treatment planning based on numerical prediction before or during cryosurgery is an indispensable way to achieve exactly killing of tumor. However, conventional sequential computation is difficult to meet the challenge of real-time assistance with complex treatment plans. In this study, two parallel numerical algorithms, i.e. explicit finite difference scheme and alternating direction implicit scheme, based on an effective heat capacity method are established to solve three-dimensional phase change problems in biological tissues subjected to freezing of multiple cryoprobes. The results as well as speedup of parallel computing were compared. It was shown that the parallel algorithms developed in this study can be used to perform rapid prediction of temperature distribution for cryosurgery, and that parallel computing is hopeful to assist cryosurgeons with prospective parallel treatment planning in the near future.

• Periodical: Applied Mechanics and Materials (Volumes 195-196)
• Pages: 1131-1136
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.195-196.1131
• Online since: August 2012
• Authors: Peng Zeng, Zhong Shan Deng, Jing Liu
• Keywords: Bioheat Transfer, Cryosurgery, Parallel Algorithm, Phase Change, Treatment Planning

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