Literature DB >> 10335963

Triggering in quantitative diffusion imaging with single-shot EPI.

S Brockstedt1, M Borg, B Geijer, R Wirestam, C Thomsen, S Holtås, F Ståhlberg.   

Abstract

PURPOSE: The aim of this study was to evaluate any possible effects of brain motion, CSF pulsations and other possible sources of physiological motion in electrocardiographic (ECG) triggered and non-triggered single-shot echo-planar imaging (EPI) measurements of diffusion.
MATERIAL AND METHODS: Three different triggering protocols were evaluated in 6 healthy volunteers: 1) ECG triggering with time delay (TD) 100 ms; 2) ECG triggering with TD 400 ms; and 3) no triggering at all.
RESULTS: The results obtained showed that white matter mean apparent diffusion coefficient (ADC) values were similar for all triggering protocols and that the reproducibility in ADC measurements using diffusion-weighted (DW) EPI was good. The average standard deviation of the ADC values was, however, higher for ADC maps obtained without ECG triggering.
CONCLUSION: The use of prospective diastolic ECG triggering significantly improves the accuracy of quantitative diffusion measurements but for routine clinical diffusion imaging, where quantitative data is of less importance, the accuracy obtained without ECG triggering can be considered adequate.

Entities:  

Mesh:

Year:  1999        PMID: 10335963     DOI: 10.3109/02841859909175552

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  12 in total

1.  Fractional anisotropy and mean diffusivity parameters of the brain white matter tracts in preterm infants: reproducibility of region-of-interest measurements.

Authors:  Virva K Lepomäki; Teemu P Paavilainen; Saija A M Hurme; Markku E Komu; Riitta K Parkkola
Journal:  Pediatr Radiol       Date:  2011-10-18

2.  Bulk motion-independent analyses of water diffusion changes in the brain during the cardiac cycle.

Authors:  Tomoya Nakamura; Tosiaki Miyati; Harumasa Kasai; Naoki Ohno; Masato Yamada; Mitsuhito Mase; Masaki Hara; Yuta Shibamoto; Yuriko Suzuki; Katsuhiro Ichikawa
Journal:  Radiol Phys Technol       Date:  2009-04-23

3.  Diffusion tensor tractography of the limbic system.

Authors:  Luis Concha; Donald W Gross; Christian Beaulieu
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

Review 4.  Diffusion tensor MR imaging and fiber tractography: technical considerations.

Authors:  P Mukherjee; S W Chung; J I Berman; C P Hess; R G Henry
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-13       Impact factor: 3.825

5.  A tractography comparison between turboprop and spin-echo echo-planar diffusion tensor imaging.

Authors:  Minzhi Gui; Huiling Peng; John D Carew; Maciej S Lesniak; Konstantinos Arfanakis
Journal:  Neuroimage       Date:  2008-06-21       Impact factor: 6.556

Review 6.  Diffusion weighted magnetic resonance imaging and its recent trend-a survey.

Authors:  Geetha Soujanya Chilla; Cher Heng Tan; Chenjie Xu; Chueh Loo Poh
Journal:  Quant Imaging Med Surg       Date:  2015-06

7.  Diffusion imaging with prospective motion correction and reacquisition.

Authors:  Thomas Benner; André J W van der Kouwe; A Gregory Sorensen
Journal:  Magn Reson Med       Date:  2011-02-24       Impact factor: 4.668

8.  Effects of cardiac pulsation in diffusion tensor imaging of the rat brain.

Authors:  Sungheon Kim; Stephen Pickup; Harish Poptani
Journal:  J Neurosci Methods       Date:  2010-10-14       Impact factor: 2.390

9.  Hemodynamically self-corrected ΔADC analysis in idiopathic normal pressure hydrocephalus.

Authors:  Marina Takatsuji-Nagaso; Tosiaki Miyati; Naoki Ohno; Mitsuhito Mase; Harumasa Kasai; Yuta Shibamoto; Satoshi Kobayashi; Toshifumi Gabata; Kiyohide Kitagawa
Journal:  Br J Radiol       Date:  2019-02-27       Impact factor: 3.039

10.  Image corruption detection in diffusion tensor imaging for post-processing and real-time monitoring.

Authors:  Yue Li; Steven M Shea; Christine H Lorenz; Hangyi Jiang; Ming-Chung Chou; Susumu Mori
Journal:  PLoS One       Date:  2013-10-25       Impact factor: 3.240

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