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Diffusion tensor echo planar imaging using surface coil transceiver with a semiadiabatic RF pulse sequence at 14.1T

Publié dansMagnetic resonance in medicine, vol. 65, no. 3, p. 732-737
Date de publication2011
Résumé

Diffusion magnetic resonance studies of the brain are typically performed using volume coils. Although in human brain this leads to a near optimal filling factor, studies of rodent brain must contend with the fact that only a fraction of the head volume can be ascribed to the brain. The use of surface coil as transceiver increases Signal-to-Noise Ratio (SNR), reduces radiofrequency power requirements and opens the possibility of parallel transmit schemes, likely to allow efficient acquisition schemes, of critical importance for reducing the long scan times implicated in diffusion tensor imaging. This study demonstrates the implementation of a semiadiabatic echo planar imaging sequence (echo time=40 ms, four interleaves) at 14.1T using a quadrature surface coil as transceiver. It resulted in artifact free images with excellent SNR throughout the brain. Diffusion tensor derived parameters obtained within the rat brain were in excellent agreement with reported values.

Mots-clés
  • Animals
  • Brain/anatomy & histology
  • Diffusion Magnetic Resonance Imaging/instrumentation
  • Echo-Planar Imaging/instrumentation
  • Equipment Design
  • Equipment Failure Analysis
  • Image Enhancement/instrumentation
  • Magnetics/instrumentation
  • Radio Waves
  • Rats
  • Rats, Wistar
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted/instrumentation
  • Transducers
Citation (format ISO)
VAN DE LOOIJ, Yohan et al. Diffusion tensor echo planar imaging using surface coil transceiver with a semiadiabatic RF pulse sequence at 14.1T. In: Magnetic resonance in medicine, 2011, vol. 65, n° 3, p. 732–737. doi: 10.1002/mrm.22656
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Article (Published version)
accessLevelRestricted
Identifiants
ISSN du journal0740-3194
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Création19/12/2012 11:34:00
Première validation19/12/2012 11:34:00
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