Abstract
In this survey, a comparison study between various tools in medical segmentation was proposed. This study serves to evaluate and estimate the adequacy and the impact of the blood flow in the clinical platform which made by GE Healthcare for cardiac MRI. A deep critical analysis of different image processing environments (Libraries, Turn-key, scripting, Data flow….). In the goal to resolve this issue, the major of the fifth dimension of blood flow to handle with the valvular stenosis and regurgitation for medical decision-making was introduced. The contour segmentation approach led to a loss of morphological information. An error rate was estimated when applying a contour to estimate the blood flow in the aortic valve. The interest of 4D cardiac sequence with its studies of the blood flow gives an innovative light to a new terminology of 5D imagery.
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Sakly, H., Said, M., Tagina, M. (2023). Medical Decision Making Based 5D Cardiac MRI Segmentation Tools. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-031-27440-4_7
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