Magnetic Resonance Imaging
Volume 28, Issue 3 , Pages 329-340 , April 2010

In vivo imaging of the human brain at 1.5 T with 0.6-mm isotropic resolution

  • Ana-Maria Oros-Peusquens

      Affiliations

    • Institute of Medicine, Research Centre Jülich, 52425 Jülich, Germany
    • Corresponding Author InformationCorresponding author. Institute of Medicine, MR Group, Research Centre Jülich, 52425 Jülich, Germany. Tel.: +49 2461 61 2107; fax: +49 2461 61 2820.
    • ,
  • Tony Stoecker

      Affiliations

    • Institute of Medicine, Research Centre Jülich, 52425 Jülich, Germany
    • ,
  • Katrin Amunts

      Affiliations

    • Institute of Medicine, Research Centre Jülich, 52425 Jülich, Germany
    • Department of Psychiatry and Psychotherapy, RWTH Aachen University, 52074 Aachen, Germany
    • Brain Imaging Centre West, 52425 Jülich, Germany
    • ,
  • Karl Zilles

      Affiliations

    • Institute of Medicine, Research Centre Jülich, 52425 Jülich, Germany
    • Brain Imaging Centre West, 52425 Jülich, Germany
    • C. and O. Vogt Institute, Heinrich Heine University, 40225 Düsseldorf, Germany
    • ,
  • Nadim Jon Shah

      Affiliations

    • Institute of Medicine, Research Centre Jülich, 52425 Jülich, Germany
    • Department of Psychiatry and Psychotherapy, RWTH Aachen University, 52074 Aachen, Germany
    • Brain Imaging Centre West, 52425 Jülich, Germany

Received 19 December 2008 ,Revised 15 October 2009 ,Accepted 27 November 2009.

References 

  1. Zilles K, Palomero-Gallagher N, Grefkes C, Scheperjans F, Boy C, Amunts K, et al. Architectonics of the human cerebral cortex and transmitter receptor fingerprints: reconciling functional neuroanatomy and neurochemistry. Eur Neuropsychopharmacol. 2002;12:587–599
  2. Schleicher A, Zilles K. A quantitative approach to cytoarchitectonics — analysis of structural inhomogeneities in nervous-tissue using an image analyzer. J Microsc. 1990;157:367–381
  3. Schleicher A, Amunts K, Geyer S, Morosan P, Zilles K. Observer-independent method for microstructural parcellation of the cerebral cortex: a quantitative approach to cytoarchitectonics. Neuroimage. 1998;9:165–177
  4. Clark V, Courchesne E, Grafe M. In vivo myeloarchitectonic analysis of human striate and extrastriate cortex using magnetic resonance imaging. Cereb Cortex. 1992;2:417–424
  5. Eickhoff S, Walters N, Schleicher A, Kril J, Egan G, Zilles K, et al. High-resolution MRI reflects myeloarchitecture and cytoarchitecture of human cerebral cortex. Hum Brain Mapp. 2005;24:206–215
  6. Walters N, Egan G, Kril J, Kean M, Waley P, Jenkinson M, et al. In vivo identification of human cortical areas using high-resolution MRI: an approach to cerebral structure–function correlation. Proc Natl Acad Sci U S A. 2003;100:2981–2986
  7. Barbier E, Marrett S, Danek A, Vortmeyer A, van Gelderen P, Duyn J, et al. Imaging cortical anatomy by high resolution MR at 3.0 T: detection of the stripe of Gennari in visual area 17. Magn Reson Med. 2002;48:735–738
  8. Clare S, Bridge H. Methodological issues relating to in vivo cortical myelography using MRI. Hum Brain Mapp. 2005;26:240–250
  9. Turner R, Oros-Peusquens AM, Romanzetti S, Zilles K, Shah NJ. Optimised in vivo visualisation of cortical structures in the human brain at 3 T using IR-TSE. Magn Reson Imaging. 2008;26(7):935–942
  10. DeVita E, Thomas D, Roberts S, Parkes H, Turner R, Kinchesh P, et al. High-resolution MRI of the brain at 4.7 Tesla using fast spin echo imaging. Br J Radiol. 2003;76:631–637
  11. Fernandez-Seara M, Thomas D, Carmichael D, Chhina N, Turner R, Ordidge R. Visualization of the stria of Gennari using a high resolution FSE sequence at 4.7 T. Neuroimage. 2004;22(Suppl 1):TH276
  12. Duyn JH, van Gelderen P, Li TQ, de Zwart JA, Koretsky AP, Fukunaga M. High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci U S A. 2007;104:11796–11801
  13. Oros-Peusquens AM, Romanzetti S, Zilles K, Shah NJ, Turner R. In: Proceedings of the ISMRM 16-th Scientific Meeting and Exhibition. 2008;abstract no. 4947
  14. Holmes C, Hoge R, Collins L, Woods R, Toga A, Evans A. Enhancement of MRI images using registration for signal averaging. J Comput Assist Tomogr. 1998;22:324–333
  15. Collignon A, Maes F, Delaere D, Vandermeulen D, Suetens P, Marchal G. Automated multi-modality image registration based on information theory. In: Proceedings of Information Processing in Medical Imaging. Dordrecht: Kluwer Academic Publishers; 1995;
  16. Johansen-Berg H, Behrens T, Sillery E, Ciccarelli O, Thompson A, Smith S, et al. Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. Cereb Cortex. 2005;15:31–39
  17. Lehericy S, Bardinet E, Tremblay L, de Moortele PV, Pochon J, Dormont D, et al. Motor control in basal ganglia circuits using fMRI and brain atlas approaches. Cereb Cortex. 2005;16(2):817–825
  18. Lehericy S, Benali H, Moortele de, Pelegrini-Issac M, Waechter T, Ugurbil K, et al. Distinct basal ganglia territories are engaged in early and advanced motor sequence learning. Proc Natl Acad Sci U S A. 2005;102:12566–12571
  19. Pfeuffer J, van de Moortele P, Yacoub E, Shmuel A, Adriany G, Andersen P, et al. Zoomed functional imaging in the human brain at 7 Tesla with simultaneous high spatial and high temporal resolution. Neuroimage. 2002;17:272–286
  20. Yacoub E, Duong T, Moortele PVD, Lindquist M, Adriany G, Kim S, et al. Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields. Magn Reson Med. 2003;49:655–664
  21. Fox P. The growth of human brain mapping. Hum Brain Mapp. 1997;5:1–2
  22. Mazziotta J, Toga A, Evans A, Fox P, Lancaster J. A probabilistic atlas of the human brain: theory and rationale for its development. Neuroimage. 1995;2:89–101
  23. Mega M, Dinov I, Mazziotta J, Manese M, Thompson P, Lindshield C, et al. Automated brain tissue assessment in the elderly and demented population: construction and validation of a sub-volume probabilistic brain atlas. Neuroimage. 2005;26:1009–1018
  24. Wang J, Deichmann R, Hsiao I, Liu H, Wai Y, Wan Y, et al. Selective averaging for the diffusion tensor measurement. Magn Reson Imaging. 2005;23:585–590
  25. Deichmann R, Good C, Josephs O, Ashburner J, Turner R. Optimization of 3D MP-RAGE sequences for structural brain imaging. Neuroimage. 2000;12:112–127
  26. Neeb H, Zilles K, Shah N. A new method for fast quantitative mapping of absolute water content in vivo. Neuroimage. 2006;31(3):1156–1168
  27. Haacke E, Brown R, Thompson M, Venkatesan R. Magnetic resonance imaging physical principles and sequence design. New York: Wiley-Liss, John Wiley & Sons, Inc; 1999;
  28. Holden M, Hill DL, Denton ER, Jarosz JM, Cox TC, Rohlfing T, et al. Voxel similarity measures for 3-D serial MR brain image registration. IEEE Trans Med Imaging. 2000;19(2):94–102
  29. Viola PA. Alignment by maximization of mutual information. Ph.D. thesis, Massachusetts Inst. Technol., Cambridge, MA; 1995.
  30. Derome A. Modern {NMR} techniques for Chemistry Research. Oxford: Pergamon Press Ltd; 1987;
  31. Constable RT, Kay I, Smith MR, Henkelman RM. High quality zoomed MR images. J Comput Assist Tomogr. 1989;13:179–181
  32. Du YP, Parker DL, Davis WL, Cao G. Reduction of partial-volume artifacts with zero-filled interpolation in three-dimensional MR angiography. J Magn Reson Imaging. 1994;4:733–741
  33. Parker DL, Du YP, Davis WL. The voxel sensitivity function in Fourier transform imaging: applications to magnetic resonance angiography. Magn Reson Med. 1995;33:156–162
  34. Rayleigh L. Investigations in optics with special reference to the spectroscope. Philosophical Magazine. 1879;8:261–274
  35. Edelstein W, Glover G, Hardy C, Redington RW. The intrinsic SNR in NMR imaging. Magn Reson Med. 1986;3:604–618
  36. Gudbjartsson H, Patz S. The Rician distribution of noisy MRI data. Magn Reson Med. 1995;34:910–914
  37. Gudbjartsson H, Patz S. The Rician distribution of noisy MRI data, erratum. Magn Reson Med. 1996;36:331–333
  38. Kaufman L, Kramer D, Crooks L, Ortendal D. Measuring signal-to-noise ratios in MR imaging. Radiology. 1989;173:265–267
  39. Macovski A. Noise in MRI. Magn Reson Med. 1996;36:494–497
  40. Murphy B, Carson P, Ellis J, Zhang Y, Hyde R, Chenevert T. Signal-to-noise measures for magnetic resonance imagers. Magn Reson Imaging. 1993;11:425–428
  41. Nalcioglu O, Cho Z. Limits to signal-to-noise improvement by FID averaging in NMR imaging. Phys Med Biol. 1984;29:969–978
  42. Fischl B, Dale A. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A. 2000;97:11050–11055
  43. Kim J, Singh V, Lee J, Lerch J, Ad-Dab'bagh Y, MacDonald D, et al. Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification. Neuroimage. 2005;27:210–221
  44. Ohliger MA, Grant AK, Sodickson DK. Ultimate intrinsic signal-to-noise ratio for parallel MRI: electromagnetic field considerations. Magn Reson Med. 2003;50:1018–1030
  45. Wiesinger F, Boesiger P, Pruessmann KP. Electrodynamics and ultimate SNR in parallel MR imaging. Magn Reson Med. 2004;52:376–390

PII: S0730-725X(09)00285-9

doi: 10.1016/j.mri.2009.11.006

Magnetic Resonance Imaging
Volume 28, Issue 3 , Pages 329-340 , April 2010

Article Tools

* Image Usage & Resolution