[1]杨坪坪,冯汉升,许继伟,等.CT图像重建中的一种新型滤波器[J].中国医学物理学杂志,2021,38(7):814-819.[doi:DOI:10.3969/j.issn.1005-202X.2021.07.005]
　YANG Pingping,FENG Hansheng,XU Jiwei,et al.A novel filter for CT image reconstruction[J].Chinese Journal of Medical Physics,2021,38(7):814-819.[doi:DOI:10.3969/j.issn.1005-202X.2021.07.005]
点击复制

CT图像重建中的一种新型滤波器()
分享到：

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第7期
页码:
814-819
栏目:
医学影像物理
出版日期:
2021-07-26

文章信息/Info

Title:
A novel filter for CT image reconstruction
文章编号:
1005-202X（2021）07-0814-06
作者:
杨坪坪1; 冯汉升2; 3; 许继伟3; 宋云涛1; 2; 3
1.中国科学技术大学， 安徽 合肥 230026； 2.中国科学院等离子体物理研究所， 安徽 合肥 230031； 3.中科离子医学技术装备有限公司， 安徽 合肥 230088
Author(s):
YANG Pingping1;  FENG Hansheng2; 3;  XU Jiwei3;  SONG Yuntao1; 2; 3
1. University of Science and Technology of China, Hefei 230026, China 2. Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China 3. Hefei CAS Ion Medical and Technical Devices Co. Ltd, Hefei 230088, China
关键词:
计算机断层成像技术; 图像重建; 一次指数滤波器; 高斯滤波器; 仿真实验
Keywords:
Keywords: computed tomography image reconstruction first-order exponential filter Gaussian filter simulation experiment
分类号:
R318；TP301.6
DOI:
DOI:10.3969/j.issn.1005-202X.2021.07.005
文献标志码:
A
摘要:
滤波反投影图像重建算法中滤波器设计是其中至关重要的一环。针对现有一次指数滤波器空域波形存在明显振荡、频域曲线截止频率附近没有明显压低的问题，引入高斯滤波器减小Gibbs效应，并设计一种用于CT重建领域的新型滤波器，即改进高斯滤波器。通过仿真实验对比说明滤波器中加权因子选择对图像质量的影响，另与RL滤波器、SL滤波器、一次指数滤波器、高斯滤波器实验对比验证了该滤波器拥有良好的抗噪性能，有效减小重建图像灰度波动以及明显提高重建图像质量。
Abstract:
Abstract: Filter design is an important part in the filtered back projection image reconstruction algorithm. In view of the problem that the existing first-order exponential filter has obvious oscillations in the space domain waveform and no significant pressure drop near the cut-off frequency of the frequency-domain curve, a Gaussian filter is introduced to reduce Gibbs effect, and a novel filter (improved Gaussian filter) is designed for CT image reconstruction. The comparison of simulation experiments reveals the effect of the selection of weighting factors in the filter on the image quality. In addition, the comparison among RL filter, SL filter, first-order exponential filter and Gaussian filter verify that the proposed filter has a good anti-noise performance, and that it can effectively reduce the grayscale fluctuation of the reconstructed image and significantly improve the quality of the reconstructed image.

相似文献/References:

[1]余子丽,周正东,张雯雯,等.多能光子计数X-CT能量加权图像重建方法[J].中国医学物理学杂志,2016,33(2):141.[doi:10.3969/j.issn.1005-202X.2016.02.007]
[2]管春,朱庆永.参考制导的压缩感知快速磁共振重建方法[J].中国医学物理学杂志,2016,33(3):217.[doi:10.3969/j.issn.1005-202X.2016.03.001]
[3]宋亮,聂生东. 基于移动设备的三维图像重建架构及其应用[J].中国医学物理学杂志,2016,33(9):903.[doi:10.3969/j.issn.1005-202X.2016.09.007]
　[J].Chinese Journal of Medical Physics,2016,33(7):903.[doi:10.3969/j.issn.1005-202X.2016.09.007]
[4]孟宏宇,段侪杰,旷雅唯,等.一种适用于运动样本的FPM成像校正方案[J].中国医学物理学杂志,2016,33(10):1017.[doi:10.3969/j.issn.1005-202X.2016.10.009]
　[J].Chinese Journal of Medical Physics,2016,33(7):1017.[doi:10.3969/j.issn.1005-202X.2016.10.009]
[5]汪红志,施群雁,苗志英,等.核磁共振成像技术虚拟软件开发[J].中国医学物理学杂志,2016,33(10):1030.[doi:10.3969/j.issn.1005-202X.2016.10.012]
　[J].Chinese Journal of Medical Physics,2016,33(7):1030.[doi:10.3969/j.issn.1005-202X.2016.10.012]
[6]李慧君,王琳婧,周露,等. 自适应图像全变差约束的有限角度CT重建算法[J].中国医学物理学杂志,2018,35(4):420.[doi:DOI:10.3969/j.issn.1005-202X.2018.04.010]
　LI Huijun,WANG Linjing,ZHOU Lu,et al. An adaptive total p variation-constrained CT image reconstruction method for limited angle data[J].Chinese Journal of Medical Physics,2018,35(7):420.[doi:DOI:10.3969/j.issn.1005-202X.2018.04.010]
[7]罗伶俐,王远军.基于深度学习技术的磁共振成像研究进展[J].中国医学物理学杂志,2020,37(7):873.[doi:DOI:10.3969/j.issn.1005-202X.2020.07.014]
　LUO Lingli,WANG Yuanjun.Advances in magnetic resonance imaging based on deep learning technology[J].Chinese Journal of Medical Physics,2020,37(7):873.[doi:DOI:10.3969/j.issn.1005-202X.2020.07.014]
[8]高正心,徐秋怡,龚飞,等.一种用于全身照射技术的全身模拟定位CT扫描与图像重建方法[J].中国医学物理学杂志,2023,40(3):286.[doi:DOI:10.3969/j.issn.1005-202X.2023.03.005]
　GAO Zhengxin,XU Qiuyi,et al.Total-body CT simulation and image reconstruction method for total-body irradiation[J].Chinese Journal of Medical Physics,2023,40(7):286.[doi:DOI:10.3969/j.issn.1005-202X.2023.03.005]
[9]牛善洲,李硕,梁礼境,等.基于非局部低秩稀疏矩阵分解的低剂量脑灌注CT统计迭代重建[J].中国医学物理学杂志,2023,40(11):1336.[doi:DOI:10.3969/j.issn.1005-202X.2023.11.004]
　NIU Shanzhou,LI Shuo,et al.Statistical iterative reconstruction for low-dose cerebral perfusion CT using nonlocal low-rank and sparse matrix decomposition[J].Chinese Journal of Medical Physics,2023,40(7):1336.[doi:DOI:10.3969/j.issn.1005-202X.2023.11.004]
[10]王亚晨,王瑜,宫宁,等.基于改进预积分技术的光线投射三维重建算法[J].中国医学物理学杂志,2024,41(9):1133.[doi:DOI:10.3969/j.issn.1005-202X.2024.09.011]
　WANG Yachen,WANG Yu,GONG Ning,et al.Ray casting algorithm for three-dimensional reconstruction based on improved pre-integration technology[J].Chinese Journal of Medical Physics,2024,41(7):1133.[doi:DOI:10.3969/j.issn.1005-202X.2024.09.011]

备注/Memo

备注/Memo:
【收稿日期】2021-01-18 【作者简介】杨坪坪，硕士，研究方向：医学图像重建，E-mail: yang1212@mail.ustc.edu.cn 【通信作者】冯汉升，博士，研究员，Email: hsfeng@ipp.ac.cn
更新日期/Last Update: 2021-07-26