Literature DB >> 25872755

Retrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators (3D FatNavs) at 7T.

Daniel Gallichan1, José P Marques2, Rolf Gruetter1,2,3.   

Abstract

PURPOSE: The goal of the present study was to use a three-dimensional (3D) gradient echo volume in combination with a fat-selective excitation as a 3D motion navigator (3D FatNav) for retrospective correction of microscopic head motion during high-resolution 3D structural scans of extended duration. The fat excitation leads to a 3D image that is itself sparse, allowing high parallel imaging acceleration factors--with the additional advantage of a minimal disturbance of the water signal used for the host sequence.
METHODS: A 3D FatNav was inserted into two structural protocols: an inversion-prepared gradient echo at 0.33 × 0.33 × 1.00 mm resolution and a turbo spin echo at 600 μm isotropic resolution.
RESULTS: Motion estimation was possible with high precision, allowing retrospective motion correction to yield clear improvements in image quality, especially in the conspicuity of very small blood vessels.
CONCLUSION: The highly accelerated 3D FatNav allowed motion correction with noticeable improvements in image quality, even for head motion which was small compared with the voxel dimensions of the host sequence.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  FatNavs; navigators; retrospective motion correction

Mesh:

Year:  2015        PMID: 25872755     DOI: 10.1002/mrm.25670

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


  37 in total

Review 1.  Studying neuroanatomy using MRI.

Authors:  Jason P Lerch; André J W van der Kouwe; Armin Raznahan; Tomáš Paus; Heidi Johansen-Berg; Karla L Miller; Stephen M Smith; Bruce Fischl; Stamatios N Sotiropoulos
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

2.  Evaluation of 3D fat-navigator based retrospective motion correction in the clinical setting of patients with brain tumors.

Authors:  Carl Glessgen; Daniel Gallichan; Manuela Moor; Nicolin Hainc; Christian Federau
Journal:  Neuroradiology       Date:  2019-01-23       Impact factor: 2.804

3.  Head motion measurement and correction using FID navigators.

Authors:  Tess E Wallace; Onur Afacan; Maryna Waszak; Tobias Kober; Simon K Warfield
Journal:  Magn Reson Med       Date:  2018-07-29       Impact factor: 4.668

4.  A within-coil optical prospective motion-correction system for brain imaging at 7T.

Authors:  Phillip DiGiacomo; Julian Maclaren; Murat Aksoy; Elizabeth Tong; Mackenzie Carlson; Bryan Lanzman; Syed Hashmi; Ronald Watkins; Jarrett Rosenberg; Brian Burns; Timothy W Skloss; Dan Rettmann; Brian Rutt; Roland Bammer; Michael Zeineh
Journal:  Magn Reson Med       Date:  2020-02-20       Impact factor: 4.668

Review 5.  Prospective motion correction in functional MRI.

Authors:  Maxim Zaitsev; Burak Akin; Pierre LeVan; Benjamin R Knowles
Journal:  Neuroimage       Date:  2016-11-11       Impact factor: 6.556

6.  Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model.

Authors:  Melissa W Haskell; Stephen F Cauley; Berkin Bilgic; Julian Hossbach; Daniel N Splitthoff; Josef Pfeuffer; Kawin Setsompop; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2019-05-02       Impact factor: 4.668

7.  Ultimate MRI.

Authors:  Lawrence L Wald
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

8.  Retrospective correction of head motion using measurements from an electromagnetic tracker.

Authors:  Onur Afacan; Tess E Wallace; Simon K Warfield
Journal:  Magn Reson Med       Date:  2019-08-10       Impact factor: 4.668

9.  Fat navigators and Moiré phase tracking comparison for motion estimation and retrospective correction.

Authors:  Frédéric Gretsch; Hendrik Mattern; Daniel Gallichan; Oliver Speck
Journal:  Magn Reson Med       Date:  2019-08-09       Impact factor: 4.668

10.  Markerless high-frequency prospective motion correction for neuroanatomical MRI.

Authors:  Robert Frost; Paul Wighton; F Işık Karahanoğlu; Richard L Robertson; P Ellen Grant; Bruce Fischl; M Dylan Tisdall; André van der Kouwe
Journal:  Magn Reson Med       Date:  2019-02-28       Impact factor: 4.668

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