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Medical decision making for cardiac MRI “5D Model of the Descending Aorta for the Detection of Severe Stenosis”
  • Houneida Sakly,
  • Mourad Said,
  • Moncef Tagina
Houneida Sakly
ENSI
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Mourad Said
International Center Carthage Medical
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Moncef Tagina
ENSI
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Abstract

Purpose: Depict an accurate 5D (x, y, z, Time flow dimension) model for medical decision medical. The time-dependent instantaneous pressure gradient across the aorta proposed advanced measures for the detection of severe stenosis (Flow rate, Reynolds Number, velocity …) Methods: A 74 cardiac MRI scan was performed and 3057 images for a patient aged 10 years, with a record of congenital valve and valvular aortic stenosis in tight MRI and coarctation (operated and then dilated) in the context of shone syndrome. Results: The occlusion rate was estimated of 80.5%. The stenosis zone is assessed about 15mm and extended over 10 mm. The fluid solver (NS) extract a negative pressure value of -3,735 e005 [Pa], a remarkable fall of the flux mass was detected with -0,0050 (kg / s) during the first 10 iterations, as well as high blood turbulence in vortex field lines and low geometry Reynolds cells. The fifth dimension was treated separately to analyze velocity at the aortic valve with shone syndrome for negative velocity identification (-81.4 cm / s). Conclusion: The results of 5D aortic modeling are considered promising with its representation of its physical and anatomical properties.