Asymptotic Normality of Kernel Estimators for Images Observed under the Radon Transform in Fan Beam Design

被引:0
|
作者
Proksch, Katharina [1 ]
机构
[1] Ruhr Univ Bochum, Fak Math, D-44780 Bochum, Germany
关键词
Inverse problems; Multivariate regression; Nonparametric regression; Radon transform;
D O I
10.1063/1.4825596
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider a nonparametric, two-dimensional regression model that describes observations of Radon transformed images, i.e., an inverse regression model. Reconstructions from deterministic fan beam design by a certain kind of kernel-type estimators are considered and their asymptotic properties are investigated. The problem discussed is related to medical imaging procedures such as computerized tomography (CT).
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页码:728 / 731
页数:4
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