Literature DB >> 18191597

Automatic phasing of MR images. Part I: linearly varying phase.

G Larry Bretthorst1.   

Abstract

In spin-echo and well shimmed gradient-echo images, the phase of the complex image often varies linearly in both the readout and phase-encode directions. Thus, in principle, it is possible to display an image in absorption mode. However, manually determining the two first-order and one zero-order phase parameters needed to display an absorption-mode image is a formidable task. In this paper, the Bayesian calculations needed to automatically determine these parameters are presented, and the calculations are illustrated using spin-echo images.

Mesh:

Year:  2007        PMID: 18191597     DOI: 10.1016/j.jmr.2007.12.010

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  6 in total

1.  Correcting partial volume effects in biexponential T2 estimation of small lesions.

Authors:  Chuan Huang; Jean-Philippe Galons; Christian G Graff; Eric W Clarkson; Ali Bilgin; Bobby Kalb; Diego R Martin; Maria I Altbach
Journal:  Magn Reson Med       Date:  2014-04-17       Impact factor: 4.668

2.  Diffusion effects on longitudinal relaxation in poorly mixed compartments.

Authors:  J R Anderson; Q Ye; J J Neil; J J H Ackerman; J R Garbow
Journal:  J Magn Reson       Date:  2011-04-01       Impact factor: 2.229

3.  Optimal decay rate constant estimates from phased array data utilizing joint Bayesian analysis.

Authors:  James D Quirk; Alexander L Sukstanskii; G Larry Bretthorst; Dmitriy A Yablonskiy
Journal:  J Magn Reson       Date:  2009-01-13       Impact factor: 2.229

4.  Phase-aligned multiple spin-echo averaging: a simple way to improve signal-to-noise ratio of in vivo mouse spinal cord diffusion tensor image.

Authors:  Tsang-Wei Tu; Matthew D Budde; Mingqiang Xie; Ying-Jr Chen; Qing Wang; James D Quirk; Sheng-Kwei Song
Journal:  Magn Reson Imaging       Date:  2014-08-01       Impact factor: 2.546

5.  A signal transformational framework for breaking the noise floor and its applications in MRI.

Authors:  Cheng Guan Koay; Evren Ozarslan; Peter J Basser
Journal:  J Magn Reson       Date:  2008-12-06       Impact factor: 2.229

6.  Adaptive phase correction of diffusion-weighted images.

Authors:  Marco Pizzolato; Guillaume Gilbert; Jean-Philippe Thiran; Maxime Descoteaux; Rachid Deriche
Journal:  Neuroimage       Date:  2019-10-17       Impact factor: 6.556

  6 in total

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