Literature DB >> 18429033

Semiautomatic off-resonance correction in spiral imaging.

Weitian Chen1, Craig H Meyer.   

Abstract

Spiral scanning is a promising MRI method, but one limitation is that off-resonance effects can cause image blurring. Most current off-resonance correction methods for spiral imaging require an accurate field map, which is difficult to obtain in many applications. Automatic methods can perform off-resonance correction without acquiring a field map. However, these methods are computationally inefficient and relatively prone to estimation error. This study describes a new semiautomatic off-resonance correction method that combines an automatic method with a low resolution field map acquisition for off-resonance correction in spiral scanning. Experiments demonstrate that this method is more robust than conventional automatic off-resonance correction and can provide more accurate off-resonance correction than conventional field map based methods. The proposed method is also computationally efficient and has been implemented for online reconstruction. (c) 2008 Wiley-Liss, Inc.

Mesh:

Year:  2008        PMID: 18429033     DOI: 10.1002/mrm.21599

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  20 in total

1.  Fast conjugate phase image reconstruction based on a Chebyshev approximation to correct for B0 field inhomogeneity and concomitant gradients.

Authors:  Weitian Chen; Christopher T Sica; Craig H Meyer
Journal:  Magn Reson Med       Date:  2008-11       Impact factor: 4.668

2.  Motion-compensated reconstruction of magnetic resonance images from undersampled data.

Authors:  Daniel S Weller; Luonan Wang; John P Mugler; Craig H Meyer
Journal:  Magn Reson Imaging       Date:  2018-09-11       Impact factor: 2.546

3.  Fast concomitant gradient field and field inhomogeneity correction for spiral cardiac imaging.

Authors:  Joseph Y Cheng; Juan M Santos; John M Pauly
Journal:  Magn Reson Med       Date:  2011-03-07       Impact factor: 4.668

4.  Noncontrast peripheral MRA with spiral echo train imaging.

Authors:  Samuel W Fielden; John P Mugler; Klaus D Hagspiel; Patrick T Norton; Christopher M Kramer; Craig H Meyer
Journal:  Magn Reson Med       Date:  2014-04-17       Impact factor: 4.668

5.  Real-time distortion correction of spiral and echo planar images using the gradient system impulse response function.

Authors:  Adrienne E Campbell-Washburn; Hui Xue; Robert J Lederman; Anthony Z Faranesh; Michael S Hansen
Journal:  Magn Reson Med       Date:  2015-06-26       Impact factor: 4.668

6.  Deblurring for spiral real-time MRI using convolutional neural networks.

Authors:  Yongwan Lim; Yannick Bliesener; Shrikanth Narayanan; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2020-07-25       Impact factor: 4.668

7.  A simple acquisition strategy to avoid off-resonance blurring in spiral imaging with redundant spiral-in/out k-space trajectories.

Authors:  Samuel W Fielden; Craig H Meyer
Journal:  Magn Reson Med       Date:  2014-03-06       Impact factor: 4.668

8.  Typical readout durations in spiral cine DENSE yield blurred images and underestimate cardiac strains at both 3.0 T and 1.5 T.

Authors:  Gregory J Wehner; Jonathan D Suever; Samuel W Fielden; David K Powell; Sean M Hamlet; Moriel H Vandsburger; Christopher M Haggerty; Xiaodong Zhong; Brandon K Fornwalt
Journal:  Magn Reson Imaging       Date:  2018-08-10       Impact factor: 2.546

9.  Deep residual network for off-resonance artifact correction with application to pediatric body MRA with 3D cones.

Authors:  David Y Zeng; Jamil Shaikh; Signy Holmes; Ryan L Brunsing; John M Pauly; Dwight G Nishimura; Shreyas S Vasanawala; Joseph Y Cheng
Journal:  Magn Reson Med       Date:  2019-05-22       Impact factor: 4.668

Review 10.  Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions.

Authors:  Adrienne E Campbell-Washburn; Anthony Z Faranesh; Robert J Lederman; Michael S Hansen
Journal:  Magn Reson Imaging Clin N Am       Date:  2015-08-12       Impact factor: 2.266

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