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Method for Estimating the Intensity Mapping between MRI Images

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Information Processing in Medical Imaging (IPMI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1613))

Abstract

A method is presented for determining the intensity mapping between MRI images that may have been acquired using different sequences or instruments. The method can be applied to fully elastic matching and produces spatially localized probability functions that are capable of representing in an efficient way strong intensity distortions due, for instance, to the shading effect in MRI.

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Author information

Authors and Affiliations

  1. DCC — Universidade Federal de Minas Gerais, Caixa Postal 702, Belo Horizonte, MG, 30161-970, Brazil

    Alexei M. C. Machado & Mario F. M. Campos

  2. Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA

    James C. Gee

  3. DCC — Pontifícia Universidade Católica de Minas Gerais, Av. Dom Jose Gaspar, 500, Belo Horizonte, MG, 30535-610, Brazil

    Alexei M. C. Machado

Authors
  1. Alexei M. C. Machado
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  2. Mario F. M. Campos
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  3. James C. Gee
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Editor information

Editors and Affiliations

  1. Department of Applied Informatics, József Attila University, Árpád tér 2., H-6720, Szeged, Hungary

    Attila Kuba

  2. Institute of Nuclear Medicine, Charles University of Prague, Salmovska 3, CZ-120 00, Prague, Czech Republic

    Martin Šáamal

  3. Department of Medical Physics, University College London, Gower Street, London, WC1E 6BT, UK

    Andrew Todd-Pokropek

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© 1999 Springer-Verlag Berlin Heidelberg

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Machado, A.M.C., Campos, M.F.M., Gee, J.C. (1999). Method for Estimating the Intensity Mapping between MRI Images. In: Kuba, A., Šáamal, M., Todd-Pokropek, A. (eds) Information Processing in Medical Imaging. IPMI 1999. Lecture Notes in Computer Science, vol 1613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48714-X_52

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  • DOI: https://doi.org/10.1007/3-540-48714-X_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66167-2

  • Online ISBN: 978-3-540-48714-2

  • eBook Packages: Springer Book Archive

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