Learning Temperature Dynamics on Agar-Based Phantom Tissue Surface During Single Point CO$$_2$$2 Laser Exposure
Learning Temperature Dynamics on Agar-Based Phantom Tissue Surface During Single Point CO$$_2$$2 Laser Exposure
复制标题
学习单点 CO$$_2$$2 激光照射期间基于琼脂的模型组织表面的温度动态
DOI：
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发表时间：
2015
影响因子：
3.1
通讯作者：
L. Mattos
中科院分区：
文献类型：
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作者：
D. Pardo;L. Fichera;D. Caldwell;L. Mattos
本文提出了一种确定连续波CO $$_2$$ 2激光照射过程中浅表组织温度动力学模型的方法。本研究的主要贡献是利用统计学习方法，利用实际数据对手术激光照射目标的热状态进行建模。据我们所知，这是这些方法第一次应用于这个领域。这项工作扩展了先前的结果，在模拟中证明了机器学习方法在模拟激光手术过程中组织热状态方面的相关性和实用性。在这里，我们使用热像仪捕获的真实数据来学习从激光输入到相应组织温度变化的函数映射。基于在实际数据中观察到的特征，提出了一种新的模型结构和一种不同的学习方法。
This paper presents an approach to determine a model of superficial tissue temperature dynamics during continuous wave CO$$_2$$2 laser irradiation. The main contribution of this research is the use of real data to model the thermal state of targets being irradiated with surgical laser, using statistical learning methods. To the best of our knowledge this is the first time that these methods have been applied in this field. This work extends previous results which demonstrated, in simulation, the relevance and utility of machine learning methods in modeling the thermal state of tissue during laser surgical procedures. Here we use real data, captured with a thermal camera, to learn the function mapping from laser inputs to the corresponding changes in tissue temperature. Based on features observed in the real data, a new structure for the model as well as a different learning approach are proposed.
影响因子：
3.5
作者：
Crochet, Jared J.;Gnyawali, Surya C.;Chen, Wei R.
通讯作者：
Chen, Wei R.