Computed tomography for high-speed rotation object

被引：8

作者：

Chen, Defeng ^{[1
,2
]}

Li, Hongwei ^{[1
,2
]}

Wang, Qian ^{[1
,2
]}

Zhang, Peng ^{[1
,2
]}

Zhu, Yining ^{[1
,2
]}

机构：

[1] Capital Normal Univ, Sch Math Sci, Beijing 100048, Peoples R China

[2] Beijing Higher Inst Engn Res Ctr Testing & Imagin, Beijing 100048, Peoples R China

来源：

OPTICS EXPRESS | 2015年 / 23卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Computerized tomography - Deconvolution;

D O I：

10.1364/OE.23.013423

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Computed tomography (CT) for inspecting high-speed rotation objects (HRO) is difficult. Images reconstructed directly by conventional reconstruction algorithms would usually suffer from motion blurring. Currently, studies on this topic are very few. In this paper, we build a mathematical model to describe the scanning data for HRO and establish a principle for choosing the sampling time, which results in a deconvolution model. The idea of split Bregman is utilized to solve the model efficiently. Then, from the deconvoluted data, the image of HRO is reconstructed by conventional reconstruction algorithms. Experiments on simulation data as well as real data are provided to verify the effectiveness of our approach. (C) 2015 Optical Society of America

引用

页码：13423 / 13442

页数：20

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