Abstract
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.
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Acknowledgements
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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Soudah, E., Pennecot, J., Pérez, J.S., Bordone, M., Oñate, E. (2011). Medical-GiD: From Medical Images to Simulations, 4D MRI Flow Analysis. In: Tavares, J., Jorge, R. (eds) Computational Vision and Medical Image Processing. Computational Methods in Applied Sciences, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0011-6_8
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