Magnetic Resonance in Medicine · 2015 · 108 citations · 14 references
MedicineBiomedical EngineeringRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyMagnetic Resonance Image ReconstructionMagnetic Resonance ImagingMedical ImagingMedical Imaging InstrumentationScanning Techniques3D InversionBloch EquationsEcho Time OptimizationInversion Recovery PulsesInversion Recovery SequencesK-space ReconstructionT2 ContrastUltrashort Echo Time Imaging
PURPOSE: The long repetition time and inversion time with inversion recovery preparation ultrashort echo time (UTE) often causes prohibitively long scan times. We present an optimized method for long T2 signal suppression in which several k-space spokes are acquired after each inversion preparation. THEORY AND METHODS: Using Bloch equations the sequence parameters such as TI and flip angle were optimized to suppress the long T2 water and fat signals and to maximize short T2 contrast. Volunteer imaging was performed on a healthy male volunteer. Inversion recovery preparation was performed using a Silver-Hoult adiabatic inversion pulse together with a three-dimensional (3D) UTE (3D Cones) acquisition. RESULTS: The theoretical signal curves generally agreed with the experimentally measured region of interest curves. The multispoke inversion recovery method showed good muscle and fatty bone marrow suppression, and highlighted short T2 signals such as these from the femoral and tibial cortex. CONCLUSION: Inversion recovery 3D UTE imaging with multiple spoke acquisitions can be used to effectively suppress long T2 signals and highlight short T2 signals within clinical scan times. Theoretical modeling can be used to determine sequence parameters to optimize long T2 signal suppression and maximize short T2 signals. Experimental results on a volunteer confirmed the theoretical predictions. Magn Reson Med 76:577-582, 2016. © 2015 Wiley Periodicals, Inc.
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Short T2 contrast with three-dimensional ultrashort echo time imaging
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MR properties of brown and white adipose tissues
Gavin Hamilton, Daniel L. Smith, Mark Bydder et al. · Journal of Magnetic Resonance Imaging · 2011 · 121 citations · Full text