Inverse problems of damped wave equations with Robin boundary conditions: an application to blood perfusion

被引:3
作者
Fang, Yan-Long [1 ,2 ]
Lesnic, Daniel [2 ]
Alosaimi, Moataz [3 ]
机构
[1] UCL, Dept Math, London WC1H 0AY, England
[2] Univ Leeds, Dept Appl Math, Leeds LS2 9JT, England
[3] Taif Univ, Coll Sci, Dept Math & Stat, POB 11099, Taif 21944, Saudi Arabia
基金
英国工程与自然科学研究理事会;
关键词
inverse coefficient problem; bio-heat transfer; thermal-wave model; Carleman estimates; conjugate gradient method; HEAT-TRANSFER; MODEL; COEFFICIENTS; RECOVERY; RECONSTRUCTION; STABILIZATION; CONDUCTION; DIRICHLET; STABILITY; ALGORITHM;
D O I
10.1088/1361-6420/acca42
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Knowledge of the properties of biological tissues is essential in monitoring any abnormalities that may be forming and have a major impact on organs malfunctioning. Therefore, these disorders must be detected and treated early to save lives and improve the general health. Within the framework of thermal therapies, e.g. hyperthermia or cryoablation, the knowledge of the tissue temperature and of the blood perfusion rate are of utmost importance. Therefore, motivated by such a significant biomedical application, this paper investigates, for the first time, the uniqueness and stable reconstruction of the space-dependent (heterogeneous) perfusion coefficient in the thermal-wave hyperbolic model of bio-heat transfer from Cauchy boundary data using the powerful technique of Carleman estimates. Additional novelties consist in the consideration of Robin boundary conditions, as well as developing a mathematical analysis that leads to stronger stability estimates valid over a shorter time interval than usually reported in the literature of coefficient identification problems for hyperbolic partial differential equations. Numerically, the inverse coefficient problem is recast as a nonlinear least-squares minimization that is solved using the conjugate gradient method (CGM). Both exact and noisy data are inverted. To achieve stability, the CGM is stopped according to the discrepancy principle. Numerical results for a physical example are presented and discussed, showing the convergence, accuracy and stability of the inversion procedure.
引用
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页数:32
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