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

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....

Full description

Saved in:
Bibliographic Details
Published inMagnetic resonance in medicine Vol. 75; no. 3; pp. 1030 - 1039
Main Authors Gallichan, Daniel, Marques, José P., Gruetter, Rolf
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.03.2016
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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. Magn Reson Med 75:1030–1039, 2016. © 2015 Wiley Periodicals, Inc.
Bibliography:Centre d'Imagerie BioMédicale (CIBM) of the UNIL, UNIGE, HUG, CHUV, EPFL and the Leenaards and Jeantet Foundations
istex:5994214D74113F4CF7B67877A594EF61061CC0EB
Swiss National Science Foundation; Project number: 205321_153564
ark:/67375/WNG-NMTVZ9JV-2
ArticleID:MRM25670
Presented in abstract form at the 22nd Annual Meeting of the International Society of Magnetic Resonance in Medicine, Milan, Italy, 2014.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0740-3194
1522-2594
DOI:10.1002/mrm.25670