IV. Discussion

In this paper we presented a medical decision support approach for cardiac imaging in MRI that states on the 5D modeling (3D anatomical structure, temporal dimension + blood flow dimension) for the analysis of a promising case of aortic coarctation with severe valve narrowing. Our object of interest was a segment of the descending aorta for prediction, identifying the presence of aortic stenosis. The results show, in the first stage, that the 3D modeling gives a very interesting index for the experts which makes it possible to estimate the occlusion rate of 80.5% compared to what was manifested in the clinical assessment with a rate of 82. %. The measurements extracted for the thickness and the local curvature with respect to the geometry of the aorta mark the zone of stenosis and the degree of deflection of the narrowing portion. In the second stage, the presentation of the 5D approach is done through the combination of the 3D model and the size of the circulating blood flow as a function of time. The experiments that were done for the fifth dimension provides high accuracy for the location of the stenosis zone with 15mm in length compared to the clinical prognosis that indicates that aortic stenosis is extended over 10 mm These results are deduced from the solver of fluid (NS) which is based on the interpretation and observation of 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).
Conflict of Interest/Financial Disclosure: All authors confirm that no conflict of interest and no financial disclosure to declare
Acknowledgments: Many thanks go to the Radiology and Medical Imaging Unit, International Center Carthage Medical, that supported this work and to the medical staff for providing us with an access to the patients’ archive and the administrative framework for the warm welcome in their team.
Funding sources : No finding resources received for this research work