Medical decision making for cardiac MRI “5D Model of the Descending
Aorta for the Detection of Severe Stenosis”
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.