Abstract This paper deals with the solution of an inverse bioheat transfer problem, by using Approximate Bayesian Computation (ABC). A Sequential Monte Carlo (SMC) method is applied for simultaneous model selection and model calibration (estimation of the model parameters) by using synthetic measurements. Two competing models are considered in the analysis of the thermal damage of biological tissues. The results show that the ABC-SMC algorithm provides accurate results for the model selection and estimation of the thermal damage model parameters.

中文翻译：

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近似贝叶斯计算应用于识别激光照射引起的生物组织的热损伤

摘要 本文通过使用近似贝叶斯计算 (ABC) 来解决逆生物传热问题。通过使用合成测量，将连续蒙特卡罗 (SMC) 方法应用于同步模型选择和模型校准（模型参数的估计）。在分析生物组织的热损伤时考虑了两种竞争模型。结果表明，ABC-SMC算法为热损伤模型参数的模型选择和估计提供了准确的结果。