A novel approach to generate up-sampled tomographic images using combination of rotated hexagonal lattices

2010 National Conference On Communications (NCC) Pub Date : 2010-03-15 DOI:10.1109/NCC.2010.5430202

N. Dixit, J. Sivaswamy

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引用次数: 1

Abstract

Generation of upsampled tomographic images via combination of rotated lattices has been explored in [1]. In this paper, we evaluate the existing method using real phantom data. Up-sampled tomographic images are generated via combination of rotated hexagonal lattices. Sinogram data is filtered and back-projected on two hexagonal lattices which are rotated versions of each other. Samples from these lattices are interpolated to generate an up-sampled image defined on a square lattice. These results are compared with direct up-sampling method and image ISR-2 algorithm described in [10]. Two PET phantoms — NEMA and Hoffman brain phantom are used for purpose of evaluation. The results of the proposed method show considerable improvement over direct up-sampled image in terms of contrast, sharpness and imaging artifact; but when compared with ISR-2 generated image, the difference in image quality is not significant. A key advantage of the proposed method is that only two images are required for generating a high resolution image whereas ISR-2 requires k low resolution images for an up-sampling factor of k.

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一种利用旋转六边形晶格组合生成上采样层析图像的新方法

文献[1]探讨了通过旋转晶格组合生成上采样层析图像。在本文中，我们用真实的幻影数据来评估现有的方法。上采样层析图像是通过旋转六边形晶格的组合生成的。正弦图数据被过滤并反向投影到两个彼此旋转版本的六边形晶格上。从这些格子的样本被插值，以产生一个上采样的图像定义在一个正方形格子。这些结果与[10]中描述的直接上采样方法和图像ISR-2算法进行了比较。两种PET模型- NEMA和Hoffman脑模型用于评估。结果表明，与直接上采样图像相比，该方法在对比度、清晰度和成像伪影方面都有显著改善;但与ISR-2生成的图像相比，图像质量差异不显著。该方法的一个关键优点是，生成高分辨率图像只需要两张图像，而ISR-2需要k张低分辨率图像，上采样因子为k。

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2010 National Conference On Communications (NCC)

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