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Rapid combined <i>T</i><sub>1</sub> and <i>T</i><sub>2</sub> mapping using gradient recalled acquisition in the steady state

Magnetic Resonance in Medicine · 2003 · Vol. 49(3) · pp. 515–526
Sean DeoniBrian K. RuttTerry M. Peters

Abstract

A novel, fully 3D, high-resolution T(1) and T(2) relaxation time mapping method is presented. The method is based on steady-state imaging with T(1) and T(2) information derived from either spoiling or fully refocusing the transverse magnetization following each excitation pulse. T(1) is extracted from a pair of spoiled gradient recalled echo (SPGR) images acquired at optimized flip angles. This T(1) information is combined with two refocused steady-state free precession (SSFP) images to determine T(2). T(1) and T(2) accuracy was evaluated against inversion recovery (IR) and spin-echo (SE) results, respectively. Error within the T(1) and T(2) maps, determined from both phantom and in vivo measurements, is approximately 7% for T(1) between 300 and 2000 ms and 7% for T(2) between 30 and 150 ms. The efficiency of the method, defined as the signal-to-noise ratio (SNR) of the final map per voxel volume per square root scan time, was evaluated against alternative mapping methods. With an efficiency of three times that of multipoint IR and three times that of multiecho SE, our combined approach represents the most efficient of those examined. Acquisition time for a whole brain T(1) map (25 x 25 x 10 cm) is less than 8 min with 1 mm(3) isotropic voxels. An additional 7 min is required for an identically sized T(2) map and postprocessing time is less than 1 min on a 1 GHz PIII PC. The method therefore permits real-time clinical acquisition and display of whole brain T(1) and T(2) maps for the first time.

Advanced MRI Techniques and ApplicationsAtomic and Subatomic Physics ResearchAdvanced NMR Techniques and ApplicationsSteady-state free precession imagingVoxelFlip angleNuclear magnetic resonanceImaging phantomPhysicsSpin echoGradient echoIsotropyNuclear medicine

MeSH terms

Analysis of VarianceComputer SimulationHumansMagnetic Resonance ImagingModels, TheoreticalTime FactorsPhantoms, Imaging
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References
Perfusion imaging
Magnetic Resonance in Medicine · 1992 · 1,558 citations
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