Medical-GiD: From Medical Images to Simulations, 4D MRI Flow Analysis

  • Eduardo SoudahEmail author
  • Julien Pennecot
  • Jorge S. Pérez
  • Maurizio Bordone
  • Eugenio Oñate
Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 19)


Medical imaging techniques, such as MRI and CT scanning, are valuable tools for getting a lot of information non-invasively and it is useful for reconstructing the geometry of complex objects about the patients. Medical-GiD is a medical image platform that incorporates a module to read directly the blood velocity profile from the MR scan, in particular for deformable registration of 4D MRI images, Electrocardiography (ECG)-synchronized and respiration controlled 3D magnetic resonance (MR) velocity mapping (flow-sensitive 4D MRI), 3D morphologic and three-directional blood flow data. Furthermore, Medical-GiD is focus in the medical image processing in the biomechanical research field to generating meshes from the medical images, to apply in Computational Fluid Dynamics (CFD) or structural mechanics (stress analysis). To date, these techniques have largely been applied to compute meshes for numerical simulations, but with Medical-GiD, we will have the integration between the real data and numerical simulations.


Computational Fluid Dynamics Mesh generation Blood flow Aorta Magnetic resonance 



The authors would like to acknowledge Dr. Frances Carreras (from Hospital de la Santa Creu i Sant Pau) and Michael Markl (from the Departments of Diagnostic Radiology and Medical Physics, Freiburg, Germany) for their contributions and the support give us to do this work. The medical images used during this work are from the Departments of Diagnostic Radiology, Medical Physics; Neurology and Clinical Neurophysiology; and Cardiovascular Surgery, University Hospital Freiburg, Freiburg, Germany.


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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Eduardo Soudah
    • 1
    Email author
  • Julien Pennecot
    • 1
  • Jorge S. Pérez
    • 1
  • Maurizio Bordone
    • 1
  • Eugenio Oñate
    • 1
  1. 1.International Center for Numerical Methods in EngineeringTechnical University of CataloniaBarcelonaSpain

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