Literature DB >> 19963783

Theoretical and experimental analysis of imaging gradients in DTI.

Alpay Ozcan1.   

Abstract

A comprehensive, analytical framework for MR- DTI is constructed in a linear algebra setup. The expressions describing the effects of imaging gradients show formulation ambiguities. Center-symmetric gradient schemes use no cross terms (NoCroT) in the calculations resulting, at least in theory, in the alleviation of the issue. When three estimation methods, all gradients, NoCroT and diffusion gradients only are compared based on experimental results it is observed that the full inclusion of imaging gradients can be detrimental and there is slight improvement with NoCroT over diffusion gradients only. It is concluded that design of new diffusion gradient schemes via optimization is necessary to decouple to the maximum extent the effects of imaging gradients.

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Year:  2009        PMID: 19963783      PMCID: PMC3115739          DOI: 10.1109/IEMBS.2009.5332852

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  8 in total

1.  Comparison of gradient encoding schemes for diffusion-tensor MRI.

Authors:  K M Hasan; D L Parker; A L Alexander
Journal:  J Magn Reson Imaging       Date:  2001-05       Impact factor: 4.813

2.  Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI.

Authors:  S Skare; M Hedehus; M E Moseley; T Q Li
Journal:  J Magn Reson       Date:  2000-12       Impact factor: 2.229

3.  (Mathematical) Necessary conditions for the selection of gradient vectors in DTI.

Authors:  Alpay Ozcan
Journal:  J Magn Reson       Date:  2005-02       Impact factor: 2.229

4.  Decoupling of imaging and diffusion gradients in DTI.

Authors:  Alpay Ozcan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 5.  Diffusion MRI: precision, accuracy and flow effects.

Authors:  T E Conturo; R C McKinstry; J A Aronovitz; J J Neil
Journal:  NMR Biomed       Date:  1995 Nov-Dec       Impact factor: 4.044

6.  A simplified method to measure the diffusion tensor from seven MR images.

Authors:  P J Basser; C Pierpaoli
Journal:  Magn Reson Med       Date:  1998-06       Impact factor: 4.668

7.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI.

Authors:  P J Basser; C Pierpaoli
Journal:  J Magn Reson B       Date:  1996-06

8.  Estimation of the effective self-diffusion tensor from the NMR spin echo.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  J Magn Reson B       Date:  1994-03
  8 in total
  5 in total

1.  Decoupling of imaging and diffusion gradients in DTI.

Authors:  Alpay Ozcan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

2.  Minimization of imaging gradient effects in diffusion tensor imaging.

Authors:  Alpay Özcan
Journal:  IEEE Trans Med Imaging       Date:  2011-03       Impact factor: 10.048

3.  Noise and nonlinear estimation with optimal schemes in DTI.

Authors:  Alpay Özcan
Journal:  Magn Reson Imaging       Date:  2010-07-23       Impact factor: 2.546

4.  Manifestation and post hoc correction of gradient cross-term artifacts in DTI.

Authors:  Govind Nair; Xiaoping P Hu
Journal:  Magn Reson Imaging       Date:  2012-04-09       Impact factor: 2.546

5.  Complete fourier direct magnetic resonance imaging (CFD-MRI) for diffusion MRI.

Authors:  Alpay Ozcan
Journal:  Front Integr Neurosci       Date:  2013-04-02
  5 in total

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