Literature DB >> 20112090

Motion-robust diffusion tensor acquisition at routine 3T magnetic resonance imaging.

Hasina Yasmin1, Hiroyuki Kabasawa, Shigeki Aoki, Osamu Abe, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo.   

Abstract

PURPOSE: We compared different acquisition and reconstruction methods in phantom and human studies in the clinical setting to validate our hypothesis that optimizing the k-space acquisition and reconstruction method could decrease motion artifacts.
MATERIALS AND METHODS: Diffusion tensor images of a water phantom were obtained with three table displacement magnitudes: 1 mm, 2 mm, and 3 mm. Images were reconstructed using homodyne and zero-fill reconstruction. Overscanning in 8- and 16-k(y) lines was tested. We performed visual assessment of the artifacts using reconstructed coronal images and analyzed them with Wilcoxon signed-ranks test both for phantom and human studies. Also, fractional anisotropy (FA) changes between acquisition methods were compared.
RESULTS: Artifacts due to smaller displacement (1 and 2 mm) were significantly reduced in 16-k(y) overscan with zero filling. The Wilcoxon signed-ranks test showed significant differences (P < 0.031 for reconstruction methods and P < 0.016 for overscanning methods). FA changes were statistically significant (P < 0.037; Student's t-test). The Wilcoxon signed-ranks test showed significant reductions (P < 0.005) in the human study.
CONCLUSION: Motion-induced artifacts can be reduced by optimizing acquisition and reconstruction methods. The techniques described in this study offer an effective method for robust estimation of diffusion tensor in the presence of motion-related artifactual data points.

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Year:  2010        PMID: 20112090     DOI: 10.1007/s11604-009-0378-4

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  10 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.  In vivo fiber tractography using DT-MRI data.

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Authors:  R Bammer; S L Keeling; M Augustin; K P Pruessmann; R Wolf; R Stollberger; H P Hartung; F Fazekas
Journal:  Magn Reson Med       Date:  2001-09       Impact factor: 4.668

Review 4.  MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization.

Authors:  Yoshitaka Masutani; Shigeki Aoki; Osamu Abe; Naoto Hayashi; Kuni Otomo
Journal:  Eur J Radiol       Date:  2003-04       Impact factor: 3.528

5.  RESTORE: robust estimation of tensors by outlier rejection.

Authors:  Lin-Ching Chang; Derek K Jones; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2005-05       Impact factor: 4.668

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Journal:  Magn Reson Med       Date:  2007-03       Impact factor: 4.668

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Journal:  IEEE Trans Med Imaging       Date:  1991       Impact factor: 10.048

Review 8.  Echo-planar imaging of diffusion and perfusion.

Authors:  R Turner; D Le Bihan; A S Chesnick
Journal:  Magn Reson Med       Date:  1991-06       Impact factor: 4.668

9.  Characterization of and correction for eddy current artifacts in echo planar diffusion imaging.

Authors:  P Jezzard; A S Barnett; C Pierpaoli
Journal:  Magn Reson Med       Date:  1998-05       Impact factor: 4.668

10.  Analysis and comparison of motion-correction techniques in diffusion-weighted imaging.

Authors:  T P Trouard; Y Sabharwal; M I Altbach; A F Gmitro
Journal:  J Magn Reson Imaging       Date:  1996 Nov-Dec       Impact factor: 4.813

  10 in total

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