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Human Gray Matter: Feasibility of Single-Slab 3D Double Inversion-Recovery High-Spatial-Resolution MR Imaging¹

¹ From the MS Research Center, Department of Physics and Medical Technology (P.J.W.P., J.P.A.K.) and Department of Radiology (F.B.), VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Department of Radiology, University of Virginia School of Medicine, Charlottesville, Va (J.P.M.); and Center for Neurological Imaging, Departments of Radiology and Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (C.R.G.G.). Received July 14, 2005; revision requested September 21; revision received November 29; accepted January 10, 2006; final version accepted February 13. P.J.W.P., J.P.A.K., and F.B. supported by the Dutch MS Research Foundation (Stichting MS Research), Voorschoten, the Netherlands. J.P.M. and C.R.G.G. supported by the National Institutes of Health (R01 NS035142). C.R.G.G. supported by the National Multiple Sclerosis Society (RG3574-A-1). Address correspondence to P.J.W.P. (e-mail: pjw.pouwels{at}vumc.nl).

The purpose of this study was to develop and prospectively evaluate the feasibility of a single-slab three-dimensional (3D) double inversion-recovery, or DIR, sequence for magnetic resonance imaging at 1.5 T. The study was approved by the local ethics committee, and informed consent was obtained from six healthy control subjects (one woman, five men; age range, 26–47 years) and two patients with multiple sclerosis (one woman, aged 39; one man, aged 56). Gray matter (GM)–only images were obtained by selectively suppressing cerebrospinal fluid (CSF) and white matter (WM) signals. Whole-brain high-spatial-resolution 3D images (1.2 x 1.2 x 1.3 mm) were acquired within 10 minutes. Cortical and deep GM structures were clearly delineated from WM and CSF, and there were regional differences in GM signal intensity. No flow artifacts from blood or CSF were observed. These GM images with high spatial resolution are suitable to identify cortical pathologic conditions and can potentially be used for segmentation purposes to determine cortical thickness or volume.

© RSNA, 2006

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