Skip to main content

A System for the Diagnostic Use of Tissue Characterizing Parameters in N M R — Tomography

  • Chapter
Information Processing in Medical Imaging

Abstract

In the last years Nuclear Magnetic Resonance (NMR) tomography of hydrogen nuclei has become a well-established technique of non-invasive diagnostics. Both the kind of tissue specific information being distributed to several series of images and the importance of the physician as a user with final competence and responsibility make the task of tissue characterization and differentiation special in applied classification methodology. The following chapters will outline progress and results of developmental work of several components of an image analysis and classification system, which is superimposed by a system of control and information management. Additionally the design of tools to include the user in the decision process will be discussed.

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

Access this chapter

eBook
USD 16.99
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

  • Bielke, G., Meves, M., Meindi, S., Brückner, A., von Seelen, W., Rinck, P., Pfannenstiel, P.,(1984). A systematic approach to optimization of pulse sequences in NMR-imaging by computer simulations, in: Technology of Nuclear Magnetic Resonance, P.D. Esser, R.E. Johnston, eds., The Society of Nucl. Med., New York, NY 10016

    Google Scholar 

  • Crooks, L.E. (1986). Image contrast mechanisms in MRI, in: Medical Magnetic Resonance Imaging and Spectroscopy–A Primer, T.F. Budinger and A.R. Margulis, eds., Society of Magn. Res. in Med., Berkley, CA 94704

    Google Scholar 

  • Garnir,H.P. and Garnir-Monjoie, F.S. (1981). Fit of the function y(x)=A(1-exp(-kx)) to data strongly embeded in noise, Nucl. Instr. and Meth. 190, 333–336.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1988 Springer Science+Business Media New York

About this chapter

Cite this chapter

Jungke, M., von Seelen, W., Bielke, G., Meindl, S., Grigat, M., Pfannenstiel, P. (1988). A System for the Diagnostic Use of Tissue Characterizing Parameters in N M R — Tomography. In: de Graaf, C.N., Viergever, M.A. (eds) Information Processing in Medical Imaging. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7263-3_31

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-7263-3_31

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-7265-7

  • Online ISBN: 978-1-4615-7263-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics