ITERATIVE RECONSTRUCTION-REPROJECTION AND THE EXPECTATION-MAXIMIZATION ALGORITHM

被引：13

作者：

OLLINGER, JM ^{[1
]}

机构：

[1] HOSP UNIV PENN,DEPT NUCL MED,PHILADELPHIA,PA 19104

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 1990年 / 9卷 / 01期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1109/42.52986

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The iterative reconstruction-reprojection (IRR) algorithm is a method for estimating missing projections in computed tomography. It is derived as an expectation-maximization (EM) algorithm that increases a suitable likelihood function. The constraint that the data form a consistent set of projections is loosened to require only that the means of the data form a consistent set, thereby suggesting that the algorithm is suitable for use with noisy data. Proofs of convergence to a stationary point and of monotonicity of the sequence of iterates are given. Simulations supporting these results are described. © 1990 IEEE

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页码：94 / 98

页数：5

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