Multiresolution reconstruction in fan-beam tomography

被引：33

作者：

Bonnet, S ^{[1
]}

Peyrin, F ^{[1
]}

Turjman, F ^{[1
]}

Prost, R ^{[1
]}

机构：

[1] CREATIS, CNRS, UMR 5515, F-69621 Villeurbanne, France

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2002年 / 11卷 / 03期

关键词：

fan-beam tomography; McClellan transformation; nonseparable wavelets;

D O I：

10.1109/83.988951

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new multiresolution reconstruction approach for fan-beam tomography is established. The theoretical development assumes radial wavelets. An approximate reconstruction formula based on a near-radial quincunx multiresolution scheme is proposed. This multiresolution algorithm allows to compute both the quincunx approximation and detail coefficients of an image from its fan-beam projections. Simulations on mathematical phantoms show that wavelet decomposition is acceptable for small beam angles but deteriorates at high angles. The main applications of the method are denoising and wavelet-based image analysis.

引用

页码：169 / 176

页数：8

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