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A Novel Acceleration Coding/Reconstruction Algorithm for Magnetic Resonance Imaging in Presence of Static Magnetic Field In-Homogeneities

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Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

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Abstract

In Magnetic Resonance Imaging (MRI), magnetic field spatial variations are used to spatially codify the signal. The presence of static magnetic field in-homogeneities introduces distortions and artefacts in the images. To reduce these effects, an innovative coding/reconstruction algorithm for MRI, based on the assignment of different time varying frequencies (accelerations) to different spatial positions, is presented. The technique is used both for coding and decoding the signal. Numerical simulations of the 1D case are reported and compared with conventional MRI results to demonstrate its applicability and efficacy. The adoption of the proposed algorithm could reduce the costs of magnet construction and shimming; allow the construction of more accessible magnets; increase the Field of View (FOV) of existing scanners; reduce chemical shift and magnetic susceptibility effects. It can be considered to be a revolutionary approach to Magnetic Resonance Image acquisition/reconstruction.

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Author information

Authors and Affiliations

  1. INFM, c/o Department of Health Sciences, University of L’Aquila, Via Vetoio 10, 67100, Coppito, L’Aquila, Italy

    Giuseppe Placidi, Danilo Franchi, Angelo Galante & Antonello Sotgiu

Authors
  1. Giuseppe Placidi
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  2. Danilo Franchi
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  3. Angelo Galante
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  4. Antonello Sotgiu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Mitsubishi Electric Research Laboratories, P.O. Box 02139, Cambridge, MA, USA

    Fatih Porikli

  7. Computer and Information Science and Engineering, University of Florida, P.O. Box, FL 32611-6120, Gainsville, USA

    Jörg Peters

  8. IBM T.J. Watson Research Center, 19 Skyline Drive, NY 10532, Hawthorne, USA

    James Klosowski

  9. 128 Memorial Mall, Stewart B001, IN 47907, West Lafayette, USA

    Laura Arns

  10. Denver Museum of Nature and Space, 2001 Colorade Blvd. Denver,, CO 80205, USA

    Yu Ka Chun

  11. Departmen of Computer Science,, NC State University, Campus Box 8206, NC 27695-8206, Raleigh, USA

    Theresa-Marie Rhyne

  12. Los Alamos National Labs, P.O. Box 1663, NM 87545, Los Alamos, USA

    Laura Monroe

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© 2008 Springer-Verlag Berlin Heidelberg

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Placidi, G., Franchi, D., Galante, A., Sotgiu, A. (2008). A Novel Acceleration Coding/Reconstruction Algorithm for Magnetic Resonance Imaging in Presence of Static Magnetic Field In-Homogeneities. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_111

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  • DOI: https://doi.org/10.1007/978-3-540-89646-3_111

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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