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Estimating three-dimensional temperature fields during hyperthermia: Studies of the optimal regularization parameter and time sampling

机译:估计高温期间的三维温度场:最佳正则化参数和时间采样的研究

摘要

During hyperthermia therapy it is desirable to know the entire temperature field in the treatment region. Tikhonov regularization of order zero has been implemented. The accuracy of the estimates depends upon the value of regularization parameter, which has an optimal value that is dependent on the perfusion pattern and magnitude. The transient power-off time sampling length (i.e. the amount of transient data used) influences the accuracy of the estimates, and an optimal sampling length exists. The effects of additive noise are investigated, as are the effects of the initial guess of the perfusion values, and the effect of both symmetric and asymmetric blood perfusion patterns. The asymmetric patterns with noisy data are the most difficult cases to evaluate. The cases studied are not a comprehensive set, but a representative set whose results continue to show the feasibility of using state and parameter estimation methods to reconstruct the entire temperature field. (Abstract shortened with permission of author.)
机译:在热疗期间,希望知道治疗区域中的整个温度场。 Tikhonov零阶正则化已实现。估计的准确性取决于正则化参数的值,该参数的最佳值取决于灌注模式和幅度。瞬态断电时间采样长度(即,使用的瞬态数据量)会影响估算的准确性,并且存在最佳采样长度。研究了附加噪声的影响,以及对灌注值的初始猜测的影响,以及对称和非对称血液灌注模式的影响。带有嘈杂数据的不对称模式是最难评估的情况。研究的案例不是一个全面的案例,而是一个具有代表性的案例,其结果继续表明使用状态和参数估计方法重建整个温度场的可行性。 (摘要经作者许可缩短。)

著录项

  • 作者

    Liauh Chihng-Tsung 1960-;

  • 作者单位
  • 年度 1988
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  • 原文格式 PDF
  • 正文语种 en_US
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