, Volume 56, Issue 7, pp 517–523 | Cite as

Tissue Border Enhancement by inversion recovery MRI at 7.0 Tesla

  • Mauro Costagli
  • Douglas A. C. Kelley
  • Mark R. Symms
  • Laura Biagi
  • Riccardo Stara
  • Eleonora Maggioni
  • Gianluigi Tiberi
  • Carmen Barba
  • Renzo Guerrini
  • Mirco Cosottini
  • Michela Tosetti
Diagnostic Neuroradiology



This contribution presents a magnetic resonance imaging (MRI) acquisition technique named Tissue Border Enhancement (TBE), whose purpose is to produce images with enhanced visualization of borders between two tissues of interest without any post-processing.


The technique is based on an inversion recovery sequence that employs an appropriate inversion time to produce images where the interface between two tissues of interest is hypo-intense; therefore, tissue borders are clearly represented by dark lines. This effect is achieved by setting imaging parameters such that two neighboring tissues of interest have magnetization with equal magnitude but opposite sign; therefore, the voxels containing a mixture of each tissue (that is, the tissue interface) possess minimal net signal. The technique was implemented on a 7.0 T MRI system.


This approach can assist the definition of tissue borders, such as that between cortical gray matter and white matter; therefore, it could facilitate segmentation procedures, which are often challenging on ultra-high-field systems due to inhomogeneous radiofrequency distribution. TBE allows delineating the contours of structural abnormalities, and its capabilities were demonstrated with patients with focal cortical dysplasia, gray matter heterotopia, and polymicrogyria.


This technique provides a new type of image contrast and has several possible applications in basic neuroscience, neurogenetic research, and clinical practice, as it could improve the detection power of MRI in the characterization of cortical malformations, enhance the contour of small anatomical structures of interest, and facilitate cortical segmentation.


Anatomical imaging Inversion recovery Tissue interface Cortical malformations Ultra-high-field MRI 



The authors would like to thank the nurse of the 7 T MR facility, Ms. Arianna Sugamosto, and all subjects who participated in this study. This work was supported by grant “Prog. 133/11” (to R.G.) approved by the Italian Ministry of Health and funded by Fondazione Pisa. The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007-2013, project DESIRE (grant agreement no. 602531).

Ethical standards and patient consent

We declare that all human and animal studies have been approved by the ethics committee of Pisa University General Hospital (Comitato Etico dell'Azienda Ospedaliero-Universitaria Pisana) and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. We declare that all patients gave informed consent prior to inclusion in this study.

Conflict of interest

We declare that we have no conflict of interest.


  1. 1.
    Bydder GM, Young IR (1985) MR imaging: clinical use of the inversion recovery sequence. J Comput Assist Tomogr 9(4):659–675PubMedCrossRefGoogle Scholar
  2. 2.
    Hajnal JV, De Coene B, Lewis PD, Baudouin CJ, Cowan FM, Pennock JM, Young IR, Bydder GM (1992) High signal regions in normal white matter shown by heavily T2-weighted CSF nulled IR sequences. J Comput Assist Tomogr 16(4):506–513PubMedCrossRefGoogle Scholar
  3. 3.
    Gowland PA, Stevenson VL (2003) T1: the longitudinal relaxation time. In: Tofts P (ed) Quantitative MRI of the brain. John Wiley & Sons, pp 111–141Google Scholar
  4. 4.
    Pusey E, Lufkin RB, Brown RK, Solomon MA, Stark DD, Tarr RW, Hanafee WN (1986) Magnetic resonance imaging artifacts: mechanism and clinical significance. Radiographics 6(5):891–911PubMedCrossRefGoogle Scholar
  5. 5.
    Simmons A, Barker GJ, Tofts PS, Gass A, Arridge SR (1994) A method for visualization of MRI partial volume regions–PAIR (PArtial volume sensitised inversion recovery imaging). Magn Reson Imaging 12(5):821–826PubMedCrossRefGoogle Scholar
  6. 6.
    Belaroussi B, Milles J, Carme S, Zhu YM, Benoit-Cattin H (2006) Intensity non-uniformity correction in MRI: existing methods and their validation. Med Image Anal 10(2):234–246PubMedCrossRefGoogle Scholar
  7. 7.
    Van de Moortele PF, Akgun C, Adriany G, Moeller S, Ritter J, Collins CM, Smith MB, Vaughan JT, Ugurbil K (2005) B(1) destructive interferences and spatial phase patterns at 7 T with a head transceiver array coil. Magn Reson Med 54(6):1503–1518PubMedCrossRefGoogle Scholar
  8. 8.
    Vaughan JT, Garwood M, Collins CM, Liu W, DelaBarre L, Adriany G, Andersen P, Merkle H, Goebel R, Smith MB, Ugurbil K (2001) 7 T vs. 4 T: RF power, homogeneity, and signal-to-noise comparison in head images. Magn Reson Med 46(1):24–30PubMedCrossRefGoogle Scholar
  9. 9.
    Van den Berg CA, van den Bergen B, Van de Kamer JB, Raaymakers BW, Kroeze H, Bartels LW, Lagendijk JJ (2007) Simultaneous B1 + homogenization and specific absorption rate hotspot suppression using a magnetic resonance phased array transmit coil. Magn Reson Med 57(3):577–586PubMedCrossRefGoogle Scholar
  10. 10.
    Adriany G, Van de Moortele PF, Ritter J, Moeller S, Auerbach EJ, Akgun C, Snyder CJ, Vaughan T, Ugurbil K (2008) A geometrically adjustable 16-channel transmit/receive transmission line array for improved RF efficiency and parallel imaging performance at 7 Tesla. Magn Reson Med 59(3):590–597PubMedCrossRefGoogle Scholar
  11. 11.
    Setsompop K, Alagappan V, Zelinski AC, Potthast A, Fontius U, Hebrank F, Schmitt F, Wald LL, Adalsteinsson E (2008) High-flip-angle slice-selective parallel RF transmission with 8 channels at 7 T. J Magn Reson 195(1):76–84PubMedCentralPubMedCrossRefGoogle Scholar
  12. 12.
    Katscher U, Bornert P, Leussler C, van den Brink JS (2003) Transmit SENSE. Magn Reson Med 49(1):144–150PubMedCrossRefGoogle Scholar
  13. 13.
    Adriany G, Van de Moortele PF, Wiesinger F, Moeller S, Strupp JP, Andersen P, Snyder C, Zhang X, Chen W, Pruessmann KP, Boesiger P, Vaughan T, Ugurbil K (2005) Transmit and receive transmission line arrays for 7 Tesla parallel imaging. Magn Reson Med 53(2):434–445PubMedCrossRefGoogle Scholar
  14. 14.
    Mao W, Smith MB, Collins CM (2006) Exploring the limits of RF shimming for high-field MRI of the human head. Magn Reson Med 56(4):918–922PubMedCentralPubMedCrossRefGoogle Scholar
  15. 15.
    Curtis AT, Gilbert KM, Klassen LM, Gati JS, Menon RS (2012) Slice-by-slice B1+ shimming at 7 T. Magn Reson Med 68(4):1109–1116PubMedCrossRefGoogle Scholar
  16. 16.
    Tannus A, Garwood M (1997) Adiabatic pulses. NMR Biomed 10(8):423–434PubMedCrossRefGoogle Scholar
  17. 17.
    Palmini A, Najm I, Avanzini G, Babb T, Guerrini R, Foldvary-Schaefer N, Jackson G, Luders HO, Prayson R, Spreafico R, Vinters HV (2004) Terminology and classification of the cortical dysplasias. Neurology 62(6 Suppl 3):S2–S8PubMedCrossRefGoogle Scholar
  18. 18.
    Barkovich AJ, Guerrini R, Kuzniecky RI, Jackson GD, Dobyns WB (2012) A developmental and genetic classification for malformations of cortical development: update 2012. Brain 135(Pt 5):1348–1369PubMedCentralPubMedCrossRefGoogle Scholar
  19. 19.
    Tourdias T, Saranathan M, Levesque IR, Su J, Rutt BK (2014) Visualization of intra-thalamic nuclei with optimized white-matter-nulled MPRAGE at 7 T. Neuroimage 84:534–545PubMedCrossRefGoogle Scholar
  20. 20.
    Van de Moortele PF, Auerbach EJ, Olman C, Yacoub E, Ugurbil K, Moeller S (2009) T1 weighted brain images at 7 Tesla unbiased for Proton Density, T2* contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization. Neuroimage 46(2):432–446PubMedCentralPubMedCrossRefGoogle Scholar
  21. 21.
    Marques JP, Kober T, Krueger G, van der Zwaag W, Van de Moortele PF, Gruetter R (2010) MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field. Neuroimage 49(2):1271–1281PubMedCrossRefGoogle Scholar
  22. 22.
    Fujimoto K, Polimeni JR, van der Kouwe AJ, Reuter M, Kober T, Benner T, Fischl B, Wald LL (2014) Quantitative comparison of cortical surface reconstructions from MP2RAGE and multi-echo MPRAGE data at 3 and 7 T. Neuroimage 90:60–73PubMedCrossRefGoogle Scholar
  23. 23.
    Gizewski ER, Maderwald S, Linn J, Dassinger B, Bochmann K, Forsting M, Ladd ME (2014) High-resolution anatomy of the human brain stem using 7-T MRI: improved detection of inner structures and nerves? Neuroradiology 56(3):177–186PubMedCrossRefGoogle Scholar
  24. 24.
    Tanner M, Gambarota G, Kober T, Krueger G, Erritzoe D, Marques JP, Newbould R (2012) Fluid and white matter suppression with the MP2RAGE sequence. J Magn Reson Imaging 35(5):1063–1070PubMedCrossRefGoogle Scholar
  25. 25.
    Tiberi G, Costagli M, Stara R, Cosottini M, Tropp J, Tosetti M (2013) Electromagnetic characterization of an MR volume coil with multilayered cylindrical load using a 2-D analytical approach. J Magn Reson 230:186–197PubMedCrossRefGoogle Scholar
  26. 26.
    Bernstein MA, King KF, Zhou XJ (2004) Signal acquisition and k-space sampling. In: Handbook of MRI pulse sequences. Elsevier, pp 367–442Google Scholar
  27. 27.
    Guerrini R, Dobyns WB, Barkovich AJ (2008) Abnormal development of the human cerebral cortex: genetics, functional consequences and treatment options. Trends Neurosci 31(3):154–162PubMedCrossRefGoogle Scholar
  28. 28.
    Tassi L, Colombo N, Cossu M, Mai R, Francione S, Lo Russo G, Galli C, Bramerio M, Battaglia G, Garbelli R, Meroni A, Spreafico R (2005) Electroclinical, MRI and neuropathological study of 10 patients with nodular heterotopia, with surgical outcomes. Brain 128(Pt 2):321–337PubMedGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Mauro Costagli
    • 1
    • 2
  • Douglas A. C. Kelley
    • 3
  • Mark R. Symms
    • 4
  • Laura Biagi
    • 2
  • Riccardo Stara
    • 1
    • 5
  • Eleonora Maggioni
    • 6
    • 7
  • Gianluigi Tiberi
    • 1
    • 2
  • Carmen Barba
    • 8
  • Renzo Guerrini
    • 2
    • 8
  • Mirco Cosottini
    • 1
    • 5
  • Michela Tosetti
    • 2
  1. 1.Imago7 FoundationPisaItaly
  2. 2.IRCCS Stella MarisPisaItaly
  3. 3.GE Healthcare TechnologiesSan FranciscoUSA
  4. 4.GE Applied Science LaboratoryPisaItaly
  5. 5.University of PisaPisaItaly
  6. 6.IRCCS Scientific Institute E. MedeaBosisio PariniItaly
  7. 7.Politecnico di MilanoMilanItaly
  8. 8.Neuroscience DepartmentChildren’s Hospital A. Meyer - University of FlorenceFlorenceItaly

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