Zhang Haifeng
Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, 230027, People's Republic of China.
Phys Med Biol. 2008 Feb 7;53(3):N15-23. doi: 10.1088/0031-9155/53/3/N01. Epub 2008 Jan 14.
In this work, we develop the lattice Boltzmann method (LBM) as a potential solver for the bioheat problems. The accuracy of the present LBM algorithm is validated through comparison with the analytical solution and the finite element simulation. The results show that the LBM can give a precise prediction of the temperature distribution, and it is efficient to deal with the space- and time-dependent heat source, which are often encountered in the treatment planning of tumor hyperthermia.
在这项工作中,我们开发了格子玻尔兹曼方法(LBM)作为生物热问题的潜在求解器。通过与解析解和有限元模拟进行比较,验证了当前LBM算法的准确性。结果表明,LBM能够精确预测温度分布,并且在处理肿瘤热疗治疗计划中经常遇到的时空依赖热源方面效率很高。