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Correction algorithm of artifact in magnetic resonance imagingbased on improved Canny


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Correction algorithm of artifact in magnetic resonance imagingbased on improved Canny
Zhang LinmeiZhao Li
College of Information Engineering,Xinyang College of Agriculture and Forestry,Xinyang 464000,China
magnetic resonance imaging edge detection artifact correction Canny operator image degradation bilateral filtering Gauss filter
Correction of magnetic resonance imaging artifact is a hot research in the field of image processing.In order to eliminate the artifacts in magnetic resonance imaging and improve the quality of magnetic resonance imaging,a new algorithm based on the improved Canny is proposed in this paper.We analyze the current research situation of magnetic resonance imaging artifact correction,and point out their shortcomings,and use the improved Canny operator to detect and identify the false image edge.Bilateral filtering is used to remove the noise and enhance the artifact information of magnetic resonance imaging while the optimal threshold is selected by the Otsu method.The B spine method is used to correct the abnormal projection data and the performance of the algorithm are verified by simulation experiments.The results show that the proposed algorithm can effectively suppress the artifacts in the magnetic resonance imaging,and the visual effect and objective results are better than the current classical correction algorithms,which is conducive to the following processing of magnetic resonance imaging.


[1] 张俊,李磊,张峰,等.R射线CT射束硬化校正方法综述[J].CT理论与应用研究,2013,22(1):195-204.

Zhang Jun,Li Lei,Zhang Feng,et al.Review of the methods for beam hardening correction in X-ray computed tomography[J].CT Theory and Applications,2013,22(1):195-204.
Chen Yu,Luo Hai,Zhou Heqin.An adaptive scaling hybrid algorithm for reduction of CT artifacts caused by metal objects[J].Chinese Journal of MRI Instrumentation,2009,33(2):87-90.
[3]Yu H Y,Wang G.A soft-threshold filtering approach for reconstruction from a limited number of projections[J].Phys Med Biol,2010,55(2):3905-3916.
[4]Tang Jie,Nett B E,Chen G H.Performance comparison between total variations(TV)-based compressed sensing and statistical iterative reconstruction algorithms[J].Phys Med Biol,2009,54(12):5781-5804.
[5]Chen G H,Tang Jie,Leng Shuai.Prior image constrained compressed sensing(PICCS):a method to accurately reconstruct dynamic CT images from highly under-sampled projection data sets[J].Med Phys,2008,35(2):660-663.
[6]Sodickson A,Baeyens P F,Andriole K P,et al.Recurrent CT,cumulative radiation exposure,and associated radiation-induced cancer risks from CT of adults[J].Radiology,2009,251:175-184.
Wei Ying,Li Chunyun.The research of streak artifact correcting method in CT reconstruction[J].Optical Technology,2007,33(1):141-143.
Wu Zhihong,Cong Peng,Liu Ximin.Beam hardening artifact correction in CT based on re-projection[J].Atomic Energy Science and Technology,2015,49(5):935-938.
Wang Jue,Huang Suhong,Cai Yufang.Ring artifact correction for ICT images[J].Optics and Precision Engineering,2010,18(5):1226-1233.
Wang Jue,Huang Suhong,Cai Yufang.Improved Canny algorithm for correcting ring artifacts of CT images[J].Optics and Precision Engineering,2011,19(11):2767-2773.
Qiao Mengwei,Song Weidong,Du Pengju,et al..MRI ultrasound image intensity nonuniformity correction[J].Computer-Digital Engineering,2014,42(10):1975-1997.
[12]曹大泉,王雅霄,阙介民,等.基于SART算法的CL硬化伪影校正方法研究[J].原子能科学技 术,2014,48(7):1314-1321.
Cao Daquan,Wag Yaxiao,Que Jieming,et al.Research of beam hardening correction method for CL system based on SART algorithm[J].Atomic Energy Science and Technology,2014,48(7):1314-1321.
Wang Xianpei,Zhang Aiju,Li Shaoxiong.Accurate curve fitting and revising of infrared data based on NUBSC[J].Spectroscopy and Spectral Analysis,2006,26(10):2850-2853.
[14]彭莹莹,张煜,江贵平.基于逆扩散方法的MR图像 Gibbs伪影校正[J].CT 理论与应用研究,2010,30(9):2074-3076.
Peng Yingying,Zhang Yu,Jiang Guiping.Gibbs artifact reduction in magnetic resonance images based on inverse diffusion[J].CT Theory and Applications,2010,30(9):2074-3076.
Li Zhongchuan,Meng Fanyong,Yang Min.The correction of fan-beam CT image artifacts induced by deflection of linear-detectors[J].CT Theory and Applications,2014,23(2):237-248.
Tan Pei,Zhou Heqin.Translational motion artifact correction of MR images using differential evolution algorithm[J].Journal of Data Acquisition & Processing,2009,24(4):519-523.


Last Update: 2016-02-29