基于自适应核回归和代数重建法的低剂量CT图像重建

doi:10.3969/j.issn.1006-2475.2016.11.007

计算机与现代化

基于自适应核回归和代数重建法的低剂量CT图像重建

华南师范大学物理与电信工程学院,广东广州510006

收稿日期:2016-03-03 出版日期:2016-11-15 发布日期:2016-11-23
作者简介:钟志威(1990-),男,广东广州人,华南师范大学物理与电信工程学院硕士研究生,研究方向:数字图像处理技术。

Low-dose CT Image Reconstruction Based on Adaptive Kernel Regression Method and Algebraic Reconstruction Technique

School of Physics & Telecommunication Engineering， South China Normal University， Guangzhou 510006， China

Received:2016-03-03 Online:2016-11-15 Published:2016-11-23

摘要/Abstract

摘要： 针对稀疏角度投影数据CT图像重建问题，TV-ART算法将图像的梯度稀疏先验知识引入代数重建法（ART）中，对分段平滑的图像具有较好的重建效果。但是，该算法在边界重建时会产生阶梯效应，影响重建质量。因此，本文提出自适应核回归函数结合代数重建法的重建算法（LAKR-ART），不仅在边界重建时不会产生阶梯效应，而且对细节纹理重建具有更好的重建效果。最后对shepp-logan标准CT图像和实际CT头颅图像进行仿真实验，并与ART、TV-ART算法进行比较，实验结果表明本文算法有效。
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关键词: 图像重建, 代数重建法, 不完全投影, 压缩传感, 自适应核回归

Abstract: To the problem of sparse angular projection data of CT image reconstruction, TV-ART algorithm introduces the gradient sparse prior knowledge of image to algebraic reconstruction, and the local smooth image gets a better reconstruction effect. However, the algorithm generates step effect when the borders are reconstructed, affecting the quality of the reconstruction. Therefore, this paper proposes an adaptive kernel regression function combined with Algebraic Reconstruction Technique reconstruction algorithm (LAKR-ART), it does not produce the step effect on the border reconstruction, and has a better effect to detail reconstruction. Finally we use the shepp-logan CT image and the actual CT image to make the simulation experiment, and compare with ART and TV-ART algorithm. The experimental results show the algorithm is of effectiveness.
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Key words: image reconstruction, algebraic reconstruction technique, incomplete projection, compressed sensing, adaptive kernel regression

中图分类号:

TN911.73

钟志威. 基于自适应核回归和代数重建法的低剂量CT图像重建[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2016.11.007.

ZHONG Zhi-wei. Low-dose CT Image Reconstruction Based on Adaptive Kernel Regression Method and Algebraic Reconstruction Technique[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.11.007.

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基于自适应核回归和代数重建法的低剂量CT图像重建

Low-dose CT Image Reconstruction Based on Adaptive Kernel Regression Method and Algebraic Reconstruction Technique

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