PHASE-CONSTRAINED DATA EXTRAPOLATION METHOD FOR REDUCTION OF TRUNCATION ARTIFACTS

被引:10
作者
AMARTUR, S
LIANG, ZP
BOADA, F
HAACKE, EM
机构
[1] Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio, 44106
[2] Biomedical Magnetic Resonance Laboratory, National Center, University of Illinois, Urbana, Illinois
来源
JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING | 1991年 / 1卷 / 06期
关键词
ARTIFACT; IMAGE FILTERING; IMAGE PROCESSING; RECONSTRUCTION ALGORITHMS;
D O I
10.1002/jmri.1880010619
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 [临床医学]; 100207 [影像医学与核医学]; 1009 [特种医学];
摘要
The authors present an improvement to a sigma-filter extrapolation method for the reconstruction of magnetic resonance (MR) images from symmetric discrete Fourier data. By making use of the phase information in the image data, the proposed method can overcome the data inconsistency problem of the original method for handling MR image data with large phase variations, such as those obtained in gradient-echo pulse sequences. Reconstruction results show that its performance is comparable with that of the modified complex sigma-filter method proposed previously to handle the inconsistency problem. However, the new approach has the advantage of reducing computation time by a factor of two with use of a sigma filter applied to real instead of complex images. It is expected that this method will be more practical for use in clinical MR imaging systems.
引用
收藏
页码:721 / 724
页数:4
相关论文
共 2 条
[1]
Constable RT, Henkelman RM, Data extrapolation for truncation artifact removal, Magn Reson Med, 17, pp. 108-118, (1991)
[2]
Amartur S, Haacke EM, Modified iterative model based on data extrapolation method to reduce Gibbs ringing, JMRI, 1, pp. 307-317, (1991)