高强度聚焦超声治疗中的参数估计,International Journal for Numerical Methods in Biomedical Engineering

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高强度聚焦超声治疗中的参数估计
International Journal for Numerical Methods in Biomedical Engineering ( IF 2.2 ) Pub Date : 2022-03-14 , DOI: 10.1002/cnm.3591
Laura de Los Ríos Cardenas ₁ , Leonardo A Bermeo Varon ₁ , Wagner Coelho de Albuquerque Pereira ₂

Affiliation

使用高强度聚焦超声 (HIFU) 的热疗是一种用于癌症治疗的声学疗法。该技术包括增加肿瘤的温度场以实现凝固性坏死和立即的细胞死亡。因此，为了获得成功的治疗，由于个体之间甚至同一个体在不同生理条件下的高度变异性，身体问题需要了解几个特性。本文介绍了使用 HIFU 进行癌症治疗的热疗的数值模拟，以及影响物理问题的参数的估计。考虑了两个数学模型来解决正向问题。基于声压的声学模型执行频域研究，而生物传热模型执行时间相关研究。这些模型使用 Comsol Multiphysics® 软件在二维轴对称矩形域中求解，以确定温度场。使用贝叶斯方法在 Matlab Mathworks® 环境中对参数估计进行编码。实施了 Metropolis-Hastings 算法的马尔可夫链蒙特卡罗方法，并考虑了模拟温度测量。结果表明，通过估计癌症治疗的适当参数，可以为每位患者执行特定的 HIFU 治疗，并提供在治疗前和治疗期间定义程序的可能性。实施了 Metropolis-Hastings 算法的马尔可夫链蒙特卡罗方法，并考虑了模拟温度测量。结果表明，通过估计癌症治疗的适当参数，可以为每位患者执行特定的 HIFU 治疗，并提供在治疗前和治疗期间定义程序的可能性。实施了 Metropolis-Hastings 算法的马尔可夫链蒙特卡罗方法，并考虑了模拟温度测量。结果表明，通过估计癌症治疗的适当参数，可以为每位患者执行特定的 HIFU 治疗，并提供在治疗前和治疗期间定义程序的可能性。

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Parameter estimation in high-intensity focused ultrasound therapy

Hyperthermia using High-Intensity Focused Ultrasound (HIFU) is an acoustic therapy for cancer treatment. This technique consists of an increase in the temperature field of the tumor to achieve coagulative necrosis and immediate cell death. Therefore, for having a successful treatment, the physical problem requires to know several properties due to the high variability from individual to individual, or even for the same individual under different physiological conditions. This article presents a numerical simulation of hyperthermia therapy for cancer treatment using HIFU, as well as the estimation of parameters that influence the physical problem. Two mathematical models were considered to solve the forward problem. The acoustic model based on acoustic pressure performs a frequency-domain study, and the bioheat transfer model a time-dependent study. These models were solved using Comsol Multiphysics® software in a 2D-axisymmetric rectangular domain to determine the temperature field. Parameter estimation was coded in Matlab Mathworks® environment using a Bayesian approach. The Markov Chain Monte Carlo method by the Metropolis–Hastings algorithm was implemented, and the simulated temperature measurements were considered. Results suggest that specific HIFU therapy can be performed for each patient by estimating appropriate parameters for cancer treatment and provides the possibility to define procedures before and during the treatment.

更新日期：2022-03-14

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