Projection-domain iteration to estimate unreliable measurements.

4区 计算机科学 Q1 Arts and Humanities Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-07-21 DOI:10.1186/s42492-020-00054-w
Gengsheng L Zeng
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引用次数: 2

Abstract

Due to the beam-hardening effect of the broad energy spectrum of the X-ray source in computed tomography, the reconstructed images usually suffer from severe artifacts when metallic objects are being imaged. Metal artifact correction methods are usually sophisticated and not practical, especially in some non-medical applications, in which the linear attenuation coefficients are unknown. This paper suggests a simple and effective algorithm to estimate the unreliable measurements. The proposed algorithm is an iterative algorithm, in which the iteration is performed in the projection domain, while the objective function is set up in the image domain. The final image is reconstructed with the conventional filtered backprojection algorithm. The feasibility of the proposed method is verified with airport bags that contain some unknown metals.

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投影域迭代估计不可靠的测量。
由于计算机断层扫描中x射线源宽能谱的光束硬化效应,在对金属物体成像时,重建图像通常会出现严重的伪影。金属伪影校正方法通常复杂而不实用,特别是在一些非医疗应用中,线性衰减系数是未知的。本文提出了一种简单有效的不可靠测量估计算法。该算法是一种迭代算法,在投影域进行迭代,在图像域建立目标函数。最后用传统的滤波反投影算法重建图像。以含有一些未知金属的机场包为例,验证了该方法的可行性。
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来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
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