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Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy Cloud Computing Framework

Author

Listed:
  • Charalampos Tsirmpas

    (Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Athens, Greece)

  • Kostas Giokas

    (Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Athens, Greece)

  • Dimitra Iliopoulou

    (Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Athens, Greece)

  • Dimitris Koutsouris

    (Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Athens, Greece)

Abstract

Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS) are two non-invasive techniques that are increasingly being used to identify and quantify biochemical markers associated with certain diseases, e.g., choline in the case of cancer. The associating of MRI/MRS images, patient’s electronic health record, genome information, and environmental factors increase the precision of diagnosis and treatment. The authors present a collaboration framework based on Cloud Computing which allows analysis of MRI/MRS data based on advanced mathematical tools, advanced combination, and link discovery between different data types, so as to increase the precision and consequently avoid non-appropriate therapy and treatment plans.

Suggested Citation

  • Charalampos Tsirmpas & Kostas Giokas & Dimitra Iliopoulou & Dimitris Koutsouris, 2012. "Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy Cloud Computing Framework," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 1(4), pages 1-12, October.
    • Handle: RePEc:igg:jrqeh0:v:1:y:2012:i:4:p:1-12
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