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Analysis and evaluation of the MTF of Cone-beam CT

机译:锥形梁CT的MTF分析与评估

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摘要

The qualities of initial reconstructed images suffer from reduced resolution due to all kinds of factors which are relative to the cone-beam CT imaging system. The blurring is one of the most difficult problems caused by imaging system. To suppress the blurring in the reconstructed image, some research has been conducted on the deconvolution using a point spread function (PSF), but Modulation Transfer Function (MTF) is used here instead of PSF. The MTF can be obtained by application of the two-dimensional (2-D) Fourier transform to the point-spread function (PSF).In this paper, the impact of various factors on MTF is subsequently illustrated with computer simulations. We use numerical phantom to calculate the MTF, and analyze its variation with position. The size of X-ray focus and magnification are also two important factors which influence MTF, so their effects on MTF are simulated. In addition, different longitudinal positions also influence the MTF. Finally, we use 3D Feldkamp and Radon transform algorithm to reconstruct the images respectively. By comparing the results obtained from the two representative reconstruction algorithms, the characterization of MTF of the cone-beam CT algorithm can be evaluated.
机译:由于相对于锥形光束CT成像系统的各种因素,初始重建图像的质量遭受降低的分辨率。模糊是成像系统引起的最困难的问题之一。为了抑制模糊在重建图像中,使用点扩展函数(PSF)在解卷积上进行了一些研究,但此处使用调制传递函数(MTF)而不是PSF。 MTF可以通过将二维(2-D)傅里叶变换应用于点扩展功能(PSF)来获得。本文,随后用计算机仿真说明了各种因素对MTF的影响。我们使用数字幻影来计算MTF,并分析其与位置的变化。 X射线聚焦和放大倍数也是影响MTF的两个重要因素,因此模拟了对MTF的影响。此外,不同的纵向位置也影响MTF。最后,我们使用3D Feldkamp和Radon变换算法分别重建图像。通过比较从两个代表性重建算法获得的结果,可以评估锥形光束CT算法的MTF的表征。

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