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Geometric correction for Cone-Beam CT reconstruction and artifacts reduction

机译:锥束CT重建和伪影减少的几何校正

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摘要

The FDK algorithm is one of the most widely referenced and used algorithm for cone-beam CT reconstruction in circular trajectory because of its simplicity of implementation and computational efficiency. However, images reconstructed by the FDK algorithm of real projection data may be blurred without electronic correction and geometric calibration, and are often plagued by deleterious ring artifacts and shading artifacts. In this paper, images reconstructed with and without detector correction are compared base on computer experiment of real biological object. Furthermore, Algorithms for shading artifacts reduction and fast ring artifacts reduction are also introduced. The experimental simulation shows that these algorithms are effective in reducing ring and shading artifacts without compromising the image resolution, and produce satisfactory results.
机译:FDK算法由于其实现简单且计算效率高而成为圆形轨迹锥束CT重建中使用最广泛的算法之一。但是,通过FDK算法对实际投影数据重建的图像可能会在没有电子校正和几何校正的情况下变得模糊,并且经常会受到有害的环形伪影和阴影伪影的困扰。本文基于真实生物物体的计算机实验,对有无检测器校正后重建的图像进行了比较。此外,还介绍了用于减少阴影伪影和减少快速环形伪影的算法。实验仿真表明,这些算法在不影响图像分辨率的前提下,可以有效地减少环纹和阴影现象,并产生令人满意的结果。

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