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Fast and Robust Analysis of Dynamic Contrast Enhanced MRI Datasets

  • Olga Kubassova
  • Mikael Boesen
  • Roger D. Boyle
  • Marco A. Cimmino
  • Karl E. Jensen
  • Henning Bliddal
  • Alexandra Radjenovic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4792)

Abstract

A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo sequences, depicting various joints is presented. The method incorporates efficient pre-processing techniques and a robust algorithm for quantitative assessment of dynamic signal intensity vs. time curves. It provides differentiated information to the reader regarding areas with the most active perfusion and permits depiction of different disease activity in separate compartments of a joint. Additionally, it provides information on the speed of contrast agent uptake by various tissues. The method delivers objective and easily reproducible results, which have been favourably viewed by a number of medical experts.

Keywords

Active Rheumatoid Arthritis Dynamic Contrast Enhance Magnetic Resonance Image Contrast Agent Uptake Temporal Slice Magnetic Resonance Myocardial Perfusion Imag 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Olga Kubassova
    • 1
  • Mikael Boesen
    • 2
  • Roger D. Boyle
    • 1
  • Marco A. Cimmino
    • 3
  • Karl E. Jensen
    • 4
  • Henning Bliddal
    • 2
  • Alexandra Radjenovic
    • 5
  1. 1.School of Computing, University of LeedsUK
  2. 2.The Parker Institute Frederiksberg Hospital, FrederiksbergDenmark
  3. 3.University of Genoa, GenoaItaly
  4. 4.Rigshospitalet, Department of Radiology, MRI division, CopenhagenDenmark
  5. 5.Academic Unit of Medical Physics, University of Leeds, Leeds General Infirmary, LeedsUK

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