Literature DB >> 18092739

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

Yong Li1, Ning Xu, J Michael Fitzpatrick, Victoria L Morgan, David R Pickens, Benoit M Dawant.   

Abstract

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 multi-shot, spin-echo images, which have relatively long acquisition times but negligible distortion, is improved and that signal loss caused by dephasing can be recovered.

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Year:  2007        PMID: 18092739     DOI: 10.1109/tmi.2007.901987

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  4 in total

1.  Geometric distortion correction for echo planar images using nonrigid registration with spatially varying scale.

Authors:  Yong Li; Ning Xu; J Michael Fitzpatrick; Benoit M Dawant
Journal:  Magn Reson Imaging       Date:  2008-05-21       Impact factor: 2.546

2.  Improving susceptibility mapping using a threshold-based K-space/image domain iterative reconstruction approach.

Authors:  J Tang; S Liu; J Neelavalli; Y C N Cheng; S Buch; E M Haacke
Journal:  Magn Reson Med       Date:  2012-06-26       Impact factor: 4.668

3.  Spin-echo SS-PARSE: a PARSE MRI method to estimate frequency, R(2) and R(2)(') in a single shot.

Authors:  Ningzhi Li; Mark Bolding; Donald B Twieg
Journal:  Magn Reson Imaging       Date:  2010-08-07       Impact factor: 2.546

4.  Efficient correction of inhomogeneous static magnetic field-induced distortion in Echo Planar Imaging.

Authors:  Dominic Holland; Joshua M Kuperman; Anders M Dale
Journal:  Neuroimage       Date:  2009-11-26       Impact factor: 6.556

  4 in total

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