Identification of tissue optical properties during thermal laser‐tissue interactions: An ensemble Kalman filter‐based approach
Identification of tissue optical properties during thermal laser‐tissue interactions: An ensemble Kalman filter‐based approach
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热激光与组织相互作用过程中组织光学特性的识别:基于集成卡尔曼滤波器的方法
DOI:
10.1002/cnm.3574
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发表时间:
2022
影响因子:
2.1
通讯作者:
Fichera, Loris
中科院分区:
文献类型:
--
作者:
Arnold, Andrea;Fichera, Loris
In this article, we propose a computational framework to estimate the physical properties that govern the thermal response of laser‐irradiated tissue. We focus in particular on two quantities, theabsorptionandscatteringcoefficients, which describe the optical absorption of light in the tissue and whose knowledge is vital to correctly plan medical laser treatments. To perform the estimation, we utilize an implementation of the ensemble Kalman filter (EnKF), a type of Bayesian filtering algorithm for data assimilation. Unlike prior approaches, in this work, we estimate the tissue optical properties based on observations of the tissue thermal response to laser irradiation. This method has the potential for straightforward implementation in a clinical setup, as it would only require a simple thermal sensor, for example, a miniaturized infrared camera. Because the optical properties of tissue can undergo shifts during laser exposure, we employ a variant of EnKF capable of tracking time‐varying parameters. Through simulated experimental studies, we demonstrate the ability of the proposed technique to identify the tissue optical properties and track their dynamic changes during laser exposure, while simultaneously tracking changes in the tissue temperature at locations beneath the surface. We further demonstrate the framework's capability in estimating additional unknown tissue properties (i.e., the volumetric heat capacity and thermal conductivity) along with the optical properties of interest.
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DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
Jacqueline E Gunther;Huihui Lu;S. Andersson
通讯作者:
S. Andersson
影响因子:
3.1
作者:
D. Pardo;L. Fichera;D. Caldwell;L. Mattos
通讯作者:
L. Mattos
影响因子:
3.4
作者:
G. Baez;H. García;D. Grosenick;H. Wabnitz
通讯作者:
H. Wabnitz
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
W. Vogt;J. Barton;A. Agrawal;T. Pfefer
通讯作者:
T. Pfefer
DOI:
--
发表时间:
2014
期刊:
5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics
影响因子:
--
作者:
D. Pardo;L. Fichera;D. Caldwell;L. Mattos
通讯作者:
L. Mattos