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