Title: SENSE-DTI at 3 T
Authors : Järmann, Thomas
Crelier, G.
Pruessmann, K.P.
Golay, X.
Netsch, T.
van Muiswinkel, A.M.C
Mori, S.
van Zijl, P.C.M.
Valavanis, A.
Kollias, S.
Boesiger, P.
Published in : Magnetic Resonance in Medicine
Volume(Issue) : 51
Issue : 2
Pages : 230
Pages to: 236
Publisher / Ed. Institution : Wiley
Issue Date: 2004
Language : Englisch / English
Subjects : Anisotropy; Brain; Brain mapping; Diffusion Magnetic Resonance Imaging; Humans; Three-dimensional imaging; Theoretical models
Subject (DDC) : 616.8: Neurologie, Krankheiten des Nervensystems
Abstract: While holding vast potential, diffusion tensor imaging (DTI) with single-excitation protocols still faces serious challenges. Limited spatial resolution, susceptibility to magnetic field inhomogeneity, and low signal-to-noise ratio (SNR) may be considered the most prominent limitations. It is demonstrated that all of these shortcomings can be effectively mitigated by the transition to parallel imaging technology and high magnetic field strength. Using the sensitivity encoding (SENSE) technique at 3 T, brain DTI was performed in nine healthy volunteers. Despite enhanced field inhomogeneity, parallel acquisition permitted both controlling geometric distortions and enhancing spatial resolution up to 0.8 mm in-plane. Heightened SNR requirements were met in part by high base sensitivity at 3 T. A further significant increase in SNR efficiency was accomplished by SENSE acquisition, exploiting enhanced encoding speed for echo time reduction. Based on the resulting image data, high-resolution tensor mapping is demonstrated.
Departement: School of Engineering
Publication type: Beitrag in wissenschaftlicher Zeitschrift / Article in scientific Journal
Type of review: Peer review (Publikation)
DOI : 10.1002/mrm.10707
ISSN: 0740-3194
1522-2594
PMID : 14755645
URI: https://digitalcollection.zhaw.ch/handle/11475/5012
License (according to publishing contract) : Lizenz gemäss Verlagsvertrag / Licence according to publishing contract
Appears in Collections:Publikationen School of Engineering

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