Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy Cloud Computing Framework

  • Authors:

  • Charalampos Tsirmpas;Kostas Giokas;Dimitra Iliopoulou;Dimitris Koutsouris

  • Affiliations:

  • Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Ath ...;Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Ath ...;Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Ath ...;Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Ath ...

  • Venue:
  • International Journal of Reliable and Quality E-Healthcare
  • Year:
  • 2012

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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.