Literature DB >> 11550243

Comparison of functional MRI image realignment tools using a computer-generated phantom.

V L Morgan1, D R Pickens, S L Hartmann, R R Price.   

Abstract

This study discusses the development of a computer-generated phantom to compare the effects of image realignment programs on functional MRI (fMRI) pixel activation. The phantom is a whole-head MRI volume with added random noise, activation, and motion. It allows simulation of realistic head motions with controlled areas of activation. Without motion, the phantom shows the effects of realignment on motion-free data sets. Prior to realignment, the phantom illustrates some activation corruption due to motion. Finally, three widely used realignment packages are examined. The results showed that the most accurate algorithms are able to increase specificity through accurate realignment while maintaining sensitivity through effective resampling techniques. In fact, accurate realignment alone is not a powerful indicator of the most effective algorithm in terms of true activation. Copyright 2001 Wiley-Liss, Inc.

Mesh:

Year:  2001        PMID: 11550243     DOI: 10.1002/mrm.1221

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


  9 in total

1.  Retrospective motion correction protocol for high-resolution anatomical MRI.

Authors:  Peter Kochunov; Jack L Lancaster; David C Glahn; David Purdy; Angela R Laird; Feng Gao; Peter Fox
Journal:  Hum Brain Mapp       Date:  2006-12       Impact factor: 5.038

2.  SmartPhantom--an fMRI simulator.

Authors:  Hu Cheng; Qun Zhao; George R Duensing; Williams A Edelstein; Diana Spencer; Nick Browne; Charles Saylor; Mark Limkeman
Journal:  Magn Reson Imaging       Date:  2006-02-20       Impact factor: 2.546

3.  Motion correction and the use of motion covariates in multiple-subject fMRI analysis.

Authors:  Tom Johnstone; Kathleen S Ores Walsh; Larry L Greischar; Andrew L Alexander; Andrew S Fox; Richard J Davidson; Terrence R Oakes
Journal:  Hum Brain Mapp       Date:  2006-10       Impact factor: 5.038

4.  Comparison of fMRI statistical software packages and strategies for analysis of images containing random and stimulus-correlated motion.

Authors:  Victoria L Morgan; Benoit M Dawant; Yong Li; David R Pickens
Journal:  Comput Med Imaging Graph       Date:  2007-06-15       Impact factor: 4.790

5.  Development of 2dTCA for the detection of irregular, transient BOLD activity.

Authors:  Victoria L Morgan; Yong Li; Bassel Abou-Khalil; John C Gore
Journal:  Hum Brain Mapp       Date:  2008-01       Impact factor: 5.038

6.  SimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correction.

Authors:  Erik B Beall; Mark J Lowe
Journal:  Neuroimage       Date:  2014-06-24       Impact factor: 6.556

7.  Evaluating the Influence of Spatial Resampling for Motion Correction in Resting-State Functional MRI.

Authors:  Lisha Yuan; Hongjian He; Han Zhang; Jianhui Zhong
Journal:  Front Neurosci       Date:  2016-12-27       Impact factor: 4.677

8.  Motion-related artifacts in structural brain images revealed with independent estimates of in-scanner head motion.

Authors:  Neil K Savalia; Phillip F Agres; Micaela Y Chan; Eric J Feczko; Kristen M Kennedy; Gagan S Wig
Journal:  Hum Brain Mapp       Date:  2016-09-16       Impact factor: 5.038

9.  Real-time motion detection of functional MRI data.

Authors:  Theodore R Steger; Edward F Jackson
Journal:  J Appl Clin Med Phys       Date:  2004-04-01       Impact factor: 2.102

  9 in total

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