Numerical modeling and optimization of the cryosurgery operations

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:290

Article

Kudryashov, Nikolay A.¹  Shilnikov, Kirill E.¹ 

[1] Natl Res Nucl Univ, Dept Appl Math, Moscow 115409, Russia

关键词: Cryosurgery;    Pennes bioheat transfer model;    Finite volume method;    Flux relaxation method;    Multi-objective optimization;    Pareto solution;   

DOI  :  10.1016/j.cam.2015.05.018

来源: Elsevier

【 摘 要 】

Numerical computation of the three dimensional problem of the freezing interface propagation during the cryosurgical impact coupled with the multi-objective optimization mechanism is used in order to improve the efficiency and safety of the cryosurgery operations performing. The heat transfer in soft tissue during the thermal exposure to low temperature is described by the Pennes bioheat model. The finite volume method combined with the control volume approximation of the heat fluxes is applied for the cryosurgery numerical modeling on the tumor tissue of a quite arbitrary shape. The flux relaxation approach is used for the stability improvement of the explicit finite difference schemes. The generalized method of effective traversals is proposed for the searching of the Pareto front segments as the multi-objective optimization problem solutions. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

Free