Simulation experimental study on determination of tissue optical parameters by SVM method

Abstract

Abstract:

Characteristics and laws of optical parameters measuring by recent development of support vector regression algorithm are simulated and studied. Firstly 336 optical parameter samples and the corresponding diffuse reflectance distribution are obtained by Monte Carlo simulation,and the samples are divided into training set and testing set. By establishment of support vector machines (SVM)models between optical parameters and diffuse reflectance distribution in different conditions,various factors on prediction accuracy of SVM are researched,including the numbers of training set,the relationship between training set and testing set and the data preprocessing methods. Results show that in small sample condition the maximum average relative error of μ_tand μ_eff are 0.98% and 4.34% respectively. The SVM used for determination of tissue optical parameters has high accuracy and good adaptability to the number of samples.

Key words: optical parameters, support vector machines, Monte Carlo simulation

CLC Number:

R318.51

YANG Li,GAO Mei-ting. Simulation experimental study on determination of tissue optical parameters by SVM method[J]. .

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