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Accurate and sensitive measurements of magnetic susceptibility using echo planar imaging.

Artikel i vetenskaplig tidskrift
Författare Åsa Carlsson
Göran Starck
Maria Ljungberg
Sven Ekholm
Eva Forssell-Aronsson
Publicerad i Magnetic resonance imaging
Volym 24
Nummer/häfte 9
Sidor 1179-85
ISSN 0730-725X
Publiceringsår 2006
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för radiofysik
Institutionen för fysik (GU)
Institutionen för kliniska vetenskaper
Sidor 1179-85
Språk en
Länkar dx.doi.org/10.1016/j.mri.2006.07.00...
Ämnesord Artifacts, Echo-Planar Imaging, instrumentation, Magnetic Resonance Spectroscopy, instrumentation, Phantoms, Imaging, Sensitivity and Specificity
Ämneskategorier Medicin och Hälsovetenskap

Sammanfattning

Susceptibility differences are common causes for artifacts in magnetic resonance (MR); therefore, it is important to choose phantom materials in a way that these artifacts are kept at a minimum. In this study, a previously proposed MR imaging (MRI) method [Beuf O, Briguet A, Lissac M, Davis R. Magnetic resonance imaging for the determination of magnetic susceptibility of materials. J Magn Reson 1996; Series B(112):111-118] was improved to facilitate sensitive in-house measurements of different phantom materials so that such artifacts can more easily be minimized. Using standard MRI protocols and distilled water as reference, we measured magnetic volume susceptibility differences with a clinical MR system. Two imaging techniques, echo planar imaging (EPI) and spin echo, were compared using liquid samples whose susceptibilities were verified by MR spectroscopy. The EPI sequence has a very narrow bandwidth in the phase-encoding direction, which gives an increased sensitivity to magnetic field inhomogeneities. All MRI measurements were evaluated in two ways: (1) manual image analysis and (2) model fitting. The narrow bandwidth of the EPI made it possible to detect very small susceptibility differences (equivalent susceptibility difference, Deltachi(e)> or =0.02 ppm), and even plastics could be measured. Model fitting yielded high accuracy and high sensitivity and was less sensitive to other image artifacts as compared with manual image analysis.

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