Skip to main content

Can T 2 -Spectroscopy Resolve Submicrometer Axon Diameters?

  • Conference paper
Information Processing in Medical Imaging (IPMI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7917))

Included in the following conference series:

Abstract

The microscopic geometry of white matter carries rich information about brain function in health and disease. A key challenge for medical imaging is to estimate microstructural features noninvasively. One important parameter is the axon diameter, which correlates with the conduction time delay of action potentials and is affected by various neurological disorders. Diffusion magnetic resonance (MR) experiments are the method of choice today when we aim to recover the axon diameter distribution, although the technique requires very high gradient strengths in order to assess nerve fibers with one micrometer or less in diameter. In practice in-vivo brain imaging is only sensitive to the largest axons, not least due to limitations in the human physiology which tolerates only moderate gradient strengths. This work studies, from a theoretical perspective, the feasibility of T 2 -spectroscopy to resolve submicrometer tissue structures. Exploiting the surface relaxation effect, we formulate a plausible biophysical model relating the axon diameter distribution to the T 2 -weighted signal, which is based on a surface-to-volume ratio approximation of the Bloch–Torrey equation. Under a certain regime of bulk and surface relaxation coefficients, our simulation results suggest that it might be possible to reveal axons smaller than one micrometer in diameter.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aboitiz, F., Scheibel, A.B., Fisher, R.S., Zaidal, E.: Fiber composition of the human corpus callosum. Brain Research 598, 143–153 (1992)

    Article  Google Scholar 

  2. Rushton, W.A.H.: A theory of the effects of fibre size in medullated nerve. Journal of Physiology 115, 101–122 (1951)

    Google Scholar 

  3. DeLuca, G.C., Ebers, G.C., Esiri, M.M.: Axonal loss in multiple sclerosis: a pathological survey of the corticospinal and sensory tracts. Brain 127, 1009–1018 (2004)

    Article  Google Scholar 

  4. Panagiotaki, E., Schneider, T., Siow, B., Hall, M.G., Lythgoe, M.F., Alexander, D.C.: Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison. NeuroImage 59, 2241–2254 (2012)

    Article  Google Scholar 

  5. Stanisz, G.J., Szafer, A., Wright, G.A., Henkelman, R.M.: An analytical model of restricted diffusion in bovine optic nerve. Magnetic Resonance in Medicine 37, 103–111 (1997)

    Article  Google Scholar 

  6. Assaf, Y., Blumenfeld-Katzir, T., Yovel, Y., Basser, P.J.: AxCaliber: A method for measuring axon diameter distribution from diffusion MRI. Magnetic Resonance in Medicine 59, 1347–1354 (2008)

    Article  Google Scholar 

  7. Barazany, D., Basser, P.J., Assaf, Y.: In vivo measurement of axon diameter distribution in the corpus callosum of rat brain. Brain 132, 1210–1220 (2009)

    Article  Google Scholar 

  8. Alexander, D.C., Hubbard, P.L., Hall, M.G., Moore, E.A., Ptito, M., Parker, G.J.M., Dyrby, T.B.: Orientationally invariant indices of axon diameter and density from diffusion MRI. NeuroImage 52, 1374–1389 (2010)

    Article  Google Scholar 

  9. Zhang, H., Hubbard, P.L., Parker, G.J.M., Alexander, D.C.: Axon diameter mapping in the presence of orientation dispersion with diffusion MRI. NeuroImage 56, 1301–1315 (2011)

    Article  Google Scholar 

  10. Axer, H., Axer, M., Krings, T., von Keyserlingk, D.G.: Quantitative estimation of 3-D fiber course in gross histological sections of the human brain using polarized light. Journal of Neuroscience Methods 105, 121–131 (2001)

    Article  Google Scholar 

  11. Dyrby, T.B., Søgaard, L.V., Hall, M.G., Ptito, M., Alexander, D.C.: Contrast and Stability of the Axon Diameter Index from Microstructure Imaging with Diffusion MRI. Magnetic Resonance in Medicine (2012), http://dx.doi.org/10.1002/mrm.24501 , doi:10.1002/mrm.24501

  12. Bloch, F.: Nuclear induction. Physical Review 70, 460–474 (1946)

    Article  Google Scholar 

  13. Torrey, H.C.: Bloch equations with diffusion terms. Physical Review 104, 563–565 (1956)

    Article  Google Scholar 

  14. Hahn, E.L.: Spin echoes. Physical Review 80, 580–594 (1950)

    Article  MATH  Google Scholar 

  15. Brownstein, K.R., Tarr, C.E.: Spin–lattice relaxation in a system governed by diffusion. Journal of Magnetic Resonance 26, 17–24 (1977)

    Google Scholar 

  16. Brownstein, K.R., Tarr, C.E.: Importance of classical diffusion in NMR studies of water in biological cells. Physical Review A 19, 2446–2453 (1979)

    Article  Google Scholar 

  17. MacKay, A., Laule, C., Vavasour, I., Bjarnason, T., Kolind, S., Mädler, B.: Insights into brain microstructure from the T 2 distribution. Magnetic Resonance Imaging 24, 515–525 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kaden, E., Alexander, D.C. (2013). Can T 2 -Spectroscopy Resolve Submicrometer Axon Diameters?. In: Gee, J.C., Joshi, S., Pohl, K.M., Wells, W.M., Zöllei, L. (eds) Information Processing in Medical Imaging. IPMI 2013. Lecture Notes in Computer Science, vol 7917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38868-2_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38868-2_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38867-5

  • Online ISBN: 978-3-642-38868-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics