欠采样CT系统中基于条带的平行光束投影模型

Shuang Zhang, Jinbang Wang, Hanxue Mei, P. Zhou, K. Pan, Zhiguo Liu, Yude Li, T. Sun
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引用次数: 0

摘要

X射线CT是检测某些物体内部结构的一项重要技术。各种计算方法模型被用于CT重建。当被扫描物体的图像被有限面积的检测器单元记录时,基于条带的投影模型更为合适。本文采用同步代数重建技术(SART)求解基于条形的平行光束投影模型。此外,为了降低辐射剂量,避免扫描过程中由于标本物理化学性质的变化而产生的模糊效应,有必要减少步进扫描的次数。该算法与三次样条插值相结合,可以在数值模拟中以少量的数据投影重建出高质量的CT图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strip-based parallel beam projection model for under-sampling CT system
X ray CT is a vital technology for inspecting the internal structure of some objects. Various computing method models have been used to CT reconstruction. When image of the scanned object is recorded by the detector unit of finite area, the strip-based projection model is more suitable. In this paper, a simultaneous algebraic reconstruction technique (SART) for strip-based parallel beam projection model have been adopted. Furthermore, in order to reduce the radiation dose and avoid the blurring effect resulting from changes in physical and chemical properties of specimens during scanning, it is necessary to reduce the number of step-scanning. This algorithm combined with cubic spline interpolation can reconstruct high quality CT images in a small amount of data projection in numerical simulation.
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