利用遗传算法分析脑部扫描图像

1993 (25th) Southeastern Symposium on System Theory Pub Date : 1993-03-07 DOI:10.1109/SSST.1993.522774

J.E. Hogans, A. Homaifar

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引用次数: 2

摘要

遗传算法用于自动量化三种类型的脑组织:脑脊液(CSF)，白质和灰质。量化技术利用噪声和部分体积效应的统计模型，并将导出的概率密度函数拟合到数据的概率密度函数中。并与树退火算法的结果进行了比较。

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Analysis of brain scan images using genetic algorithms

Genetic algorithms are used to automatically quantify the three types of brain tissue: cerebrospinal fluid (CSF), white matter, and gray matter. The quantification technique utilizes a statistical model of the noise and partial volume effect, and fits a derived probability density function to that of the data. The results are compared with those obtained by a tree annealing algorithm.

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1993 (25th) Southeastern Symposium on System Theory

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