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[FDK 框架下的锥形束伪拉姆达断层扫描]

[Cone-beam pseudo lambda tomography under FDK framework].

作者信息

Huang Jing, Ma Jian-hua, Chen Ling-jian, Bi Yi-ming, Chen Wu-fan

机构信息

School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

出版信息

Nan Fang Yi Ke Da Xue Xue Bao. 2009 Oct;29(10):2094-7.

Abstract

The medical CT scanner is rapidly evolving from the fan-beam mode to the cone-beam geometry mode. In this paper, a new cone-beam pseudo Lambda tomography was proposed based on the Noo's fan beam super-short scan formula and FDK framework. The proposed pseudo-LT algorithm, which avoids the computation of any PI line and any differential operation, has a significant practical implementation, thus leading to the images with quality improvement and reduced artifacts. The results in the simulation studies confirm the observation that the new algorithm can improve the image resolution over the traditional algorithms with noise projection data.

摘要

医学CT扫描仪正迅速从扇形束模式向锥形束几何模式发展。本文基于努的扇形束超短扫描公式和FDK框架,提出了一种新的锥形束伪拉姆达断层扫描技术。所提出的伪LT算法避免了任何PI线的计算和任何微分运算,具有显著的实际应用价值,从而得到质量提高且伪影减少的图像。模拟研究结果证实了这样的观察结果,即新算法在有噪声投影数据的情况下,相对于传统算法能够提高图像分辨率。

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