Accounting for signal loss due to dephasing in the correction of distortions in gradient-echo EPI via nonrigid registration

被引:12
作者
Li, Yong
Xu, Ning
Fitzpatrick, J. Michael
Morgan, Victoria L.
Pickens, David R.
Dawant, Benoit M. [1 ]
机构
[1] Vanderbilt Univ, Dept Elect Engn & Comp Sci, Nashville, TN 37235 USA
[2] Vanderbilt Univ, Inst Imaging Sci, Dept Radiol & Radiol Sci, Nashville, TN 37235 USA
关键词
distortion correction; gradient echo (GE) echo planar imaging (EPI); intravoxel dephasing; nonrigid registration;
D O I
10.1109/TMI.2007.901987
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Gradient-echo (GE) echo planar imaging (EPI) is susceptible to both geometric distortions and signal loss. This paper presents a retrospective correction approach based on nonrigid image registration. A new physics-based intensity correction factor derived to compensate for intravoxel dephasing in GE EPI images is incorporated into a previously reported nonrigid registration algorithm. Intravoxel dephasing causes signal loss and thus intensity attenuation in the images. The new rephasing factor we introduce, which changes the intensity of a voxel in images during the registration, is used to improve the accuracy of the intensity-based nonrigid registration method and mitigate the intensity attenuation effect. Simulation-based experiments are first used to evaluate the method. A magnetic resonance (MR) simulator and a real field map are used to generate a realistic GE EPI image. The geometric distortion computed from the field map is used as the ground truth to which the estimated nonrigid deformation is compared. We then apply the algorithm to a set of real human brain images. The results show that, after registration, alignment between EPI and multishot, spin-echo images, which have relatively long acquisition times but negligible distortion, is improved and that signal loss caused by dephasing can be recovered.
引用
收藏
页码:1698 / 1707
页数:10
相关论文
共 38 条
  • [1] Modeling geometric deformations in EPI time series
    Andersson, JLR
    Hutton, C
    Ashburner, J
    Turner, R
    Friston, K
    [J]. NEUROIMAGE, 2001, 13 (05) : 903 - 919
  • [2] Geometric distortion correction of high-resolution 3 T diffusion tensor brain images
    Ardekani, S
    Sinha, U
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2005, 54 (05) : 1163 - 1171
  • [3] Improved diffusion-weighted single-shot echo-planar imaging (EPI) in stroke using Sensitivity Encoding (SENSE)
    Bammer, R
    Keeling, SL
    Augustin, M
    Pruessmann, KP
    Wolf, R
    Stollberger, R
    Hartung, HP
    Fazekas, F
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2001, 46 (03) : 548 - 554
  • [4] A TECHNIQUE FOR ACCURATE MAGNETIC-RESONANCE-IMAGING IN THE PRESENCE OF FIELD INHOMOGENEITIES
    CHANG, H
    FITZPATRICK, JM
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1992, 11 (03) : 319 - 329
  • [5] Chen NK, 1999, MAGNET RESON MED, V41, P1206, DOI 10.1002/(SICI)1522-2594(199906)41:6<1206::AID-MRM17>3.0.CO
  • [6] 2-L
  • [7] Chen NK, 2001, MAGNET RESON MED, V45, P525, DOI 10.1002/1522-2594(200103)45:3<525::AID-MRM1070>3.0.CO
  • [8] 2-S
  • [9] An evaluation of the use of magnetic field maps to undistort echo-planar images
    Cusack, R
    Brett, M
    Osswald, K
    [J]. NEUROIMAGE, 2003, 18 (01) : 127 - 142
  • [10] Fernández-Seara MA, 2000, MAGNET RESON MED, V44, P358, DOI 10.1002/1522-2594(200009)44:3<358::AID-MRM3>3.0.CO