Literature DB >> 8699939

Retrospective estimation and correction of physiological artifacts in fMRI by direct extraction of physiological activity from MR data.

T H Le1, X Hu.   

Abstract

A physiological artifact reduction method based on extracting respiratory motion and cardiac pulsation directly from functional MR data is described. In fast low angle shot (FLASH), respiratory cycles are derived utilizing the phase of the center of a navigator echo, in echo-planar imaging (EPI) from the phase of the center k-space point. Cardiac cycles are determined from projections obtained from the navigator echo (FLASH) and the center k-space line (EPI). Because direct extraction of physiological parameters eliminates the need for external monitoring, the method can be more readily implemented. Experimental results illustrate that the technique provides effective compensation for physiology-related signal fluctuations in functional MRI and performs as well as the retrospective technique using external physiological monitoring.

Mesh:

Year:  1996        PMID: 8699939     DOI: 10.1002/mrm.1910350305

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


  23 in total

1.  Robust image registration for functional magnetic resonance imaging of the brain.

Authors:  C C Hsu; M T Wu; C Lee
Journal:  Med Biol Eng Comput       Date:  2001-09       Impact factor: 2.602

2.  Model assessment and model building in fMRI.

Authors:  Mehrdad Razavi; Thomas J Grabowski; Walter P Vispoel; Patrick Monahan; Sonya Mehta; Brent Eaton; Lizann Bolinger
Journal:  Hum Brain Mapp       Date:  2003-12       Impact factor: 5.038

3.  Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER.

Authors:  Simo Särkkä; Arno Solin; Aapo Nummenmaa; Aki Vehtari; Toni Auranen; Simo Vanni; Fa-Hsuan Lin
Journal:  Neuroimage       Date:  2012-01-18       Impact factor: 6.556

4.  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

5.  Neural correlates of interference control in adolescents with traumatic brain injury: functional magnetic resonance imaging study of the counting stroop task.

Authors:  Sarah J Tlustos; C-Y Peter Chiu; Nicolay Chertkoff Walz; Scott K Holland; Lori Bernard; Shari L Wade
Journal:  J Int Neuropsychol Soc       Date:  2010-11-19       Impact factor: 2.892

6.  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

7.  Analysis of fMRI data by blind separation into independent spatial components.

Authors:  M J McKeown; S Makeig; G G Brown; T P Jung; S S Kindermann; A J Bell; T J Sejnowski
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

8.  Analysis of dynamic brain imaging data.

Authors:  P P Mitra; B Pesaran
Journal:  Biophys J       Date:  1999-02       Impact factor: 4.033

Review 9.  The story of the initial dip in fMRI.

Authors:  Xiaoping Hu; Essa Yacoub
Journal:  Neuroimage       Date:  2012-03-09       Impact factor: 6.556

10.  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

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