Literature DB >> 9402206

k-Space detection and correction of physiological artifacts in fMRI.

B Wowk1, M C McIntyre, J K Saunders.   

Abstract

Signal phase variations caused by physiology are a major source of instability in fMRI images produced by multiple RF pulses. k-Space phase variation maps show cyclic phase variations at the frequency of respiration combined with a cardiac variation of lower amplitude. The amplitude of the variation increases with gradient echo time and proximity to the chest, suggesting that the dominant cause of the phase variation is a B0 shift (approximately 0.01 ppm) produced by movement of organs in the chest. A simple k-space phase correction method is proposed and demonstrated for FLASH fMRI. The retrospective method requires no pulse sequence modification, and is more effective than navigator echo correction. Physiological noise is dramatically reduced, especially at inferior slice locations.

Mesh:

Year:  1997        PMID: 9402206     DOI: 10.1002/mrm.1910380625

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


  15 in total

1.  Respiration artifact correction in three-dimensional proton resonance frequency MR thermometry using phase navigators.

Authors:  Bryant T Svedin; Allison Payne; Dennis L Parker
Journal:  Magn Reson Med       Date:  2015-08-13       Impact factor: 4.668

2.  Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal.

Authors:  Karin Shmueli; Peter van Gelderen; Jacco A de Zwart; Silvina G Horovitz; Masaki Fukunaga; J Martijn Jansma; Jeff H Duyn
Journal:  Neuroimage       Date:  2007-08-09       Impact factor: 6.556

3.  Modeling and suppression of respiration induced B0-fluctuations in non-balanced steady-state free precession sequences at 7 Tesla.

Authors:  Pål Erik Goa; Benedikt Andreas Poser; Markus Barth
Journal:  MAGMA       Date:  2012-09-25       Impact factor: 2.310

4.  Correction of respiratory artifacts in MRI head motion estimates.

Authors:  Damien A Fair; Oscar Miranda-Dominguez; Abraham Z Snyder; Anders Perrone; Eric A Earl; Andrew N Van; Jonathan M Koller; Eric Feczko; M Dylan Tisdall; Andre van der Kouwe; Rachel L Klein; Amy E Mirro; Jacqueline M Hampton; Babatunde Adeyemo; Timothy O Laumann; Caterina Gratton; Deanna J Greene; Bradley L Schlaggar; Donald J Hagler; Richard Watts; Hugh Garavan; Deanna M Barch; Joel T Nigg; Steven E Petersen; Anders M Dale; Sarah W Feldstein-Ewing; Bonnie J Nagel; Nico U F Dosenbach
Journal:  Neuroimage       Date:  2019-11-25       Impact factor: 6.556

5.  Retrospective Correction of Physiological Noise: Impact on Sensitivity, Specificity, and Reproducibility of Resting-State Functional Connectivity in a Reading Network Model.

Authors:  Venkatagiri Krishnamurthy; Lisa C Krishnamurthy; Dina M Schwam; Ashley Ealey; Jaemin Shin; Daphne Greenberg; Robin D Morris
Journal:  Brain Connect       Date:  2018-03

6.  Improved chemical exchange saturation transfer imaging with real-time frequency drift correction.

Authors:  Ruibin Liu; Hongxi Zhang; Weiming Niu; Can Lai; Qiuping Ding; Weibo Chen; Sayuan Liang; Jinyuan Zhou; Dan Wu; Yi Zhang
Journal:  Magn Reson Med       Date:  2019-01-30       Impact factor: 4.668

7.  A kernel machine-based fMRI physiological noise removal method.

Authors:  Xiaomu Song; Nan-kuei Chen; Pooja Gaur
Journal:  Magn Reson Imaging       Date:  2013-10-19       Impact factor: 2.546

8.  Evaluation of preprocessing steps to compensate for magnetic field distortions due to body movements in BOLD fMRI.

Authors:  Robert L Barry; Joy M Williams; L Martyn Klassen; Jason P Gallivan; Jody C Culham; Ravi S Menon
Journal:  Magn Reson Imaging       Date:  2009-08-19       Impact factor: 2.546

Review 9.  Methods for cleaning the BOLD fMRI signal.

Authors:  César Caballero-Gaudes; Richard C Reynolds
Journal:  Neuroimage       Date:  2016-12-09       Impact factor: 6.556

10.  Detection of physiological noise in resting state fMRI using machine learning.

Authors:  Tom Ash; John Suckling; Martin Walter; Cinly Ooi; Claus Tempelmann; Adrian Carpenter; Guy Williams
Journal:  Hum Brain Mapp       Date:  2011-11-28       Impact factor: 5.038

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