en
Scientific article
Open access
English

Snapshot gradient-recalled echo-planar images of rat brains at long echo time at 9.4 T

Published inMagnetic resonance imaging, vol. 26, no. 7, p. 954-960
Publication date2008
Abstract

With improved B 0 homogeneity along with satisfactory gradient performance at high magnetic fields, snapshot gradient-recalled echo-planar imaging (GRE-EPI) would perform at long echo times (TEs) on the order of T2*, which intrinsically allows obtaining strongly T2*-weighted images with embedded substantial anatomical details in ultrashort time. The aim of this study was to investigate the feasibility and quality of long TE snapshot GRE-EPI images of rat brain at 9.4 T. When compensating for B 0 inhomogeneities, especially second-order shim terms, a 200 x 200 microm2 in-plane resolution image was reproducibly obtained at long TE (>25 ms). The resulting coronal images at 30 ms had diminished geometric distortions and, thus, embedded substantial anatomical details. Concurrently with the very consistent stability, such GRE-EPI images should permit to resolve functional data not only with high specificity but also with substantial anatomical details, therefore allowing coregistration of the acquired functional data on the same image data set.

Keywords
  • Animals
  • Brain Mapping/methods
  • Echo-Planar Imaging/methods
  • Feasibility Studies
  • Image Processing, Computer-Assisted
  • Male
  • Rats
  • Rats, Sprague-Dawley
  • Reproducibility of Results
Research group
Citation (ISO format)
LEI, Hongxia et al. Snapshot gradient-recalled echo-planar images of rat brains at long echo time at 9.4 T. In: Magnetic resonance imaging, 2008, vol. 26, n° 7, p. 954–960. doi: 10.1016/j.mri.2008.01.009
Main files (1)
Article (Published version)
accessLevelPublic
Identifiers
ISSN of the journal0730-725X
601views
497downloads

Technical informations

Creation12/13/2013 4:39:00 PM
First validation12/13/2013 4:39:00 PM
Update time03/14/2023 8:49:02 PM
Status update03/14/2023 8:49:01 PM
Last indexation01/16/2024 1:51:05 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack