Publicado 4 números por año
ISSN Imprimir: 1065-3090
ISSN En Línea: 1940-4336
Indexed in
MOVING TOWARDS A 5D CARDIAC MODEL
SINOPSIS
The process of medical diagnosis requires several steps to identify the types of cardiac pathologies. The segmentation step is used to determine the measurements for cardiac abnormalities on the short axis of the 4D acquired in MRI, but this phase remains limited on the blood flow sequences. The MRI modality allows the experts to quantify the stenosis and the regurgitation of aortic blood flow. The parameters extracted from the flow sequences, after segmentation, make it possible to identify the valvular pathologies, but they are not sufficient to complete the medical prognosis as well as the lack of precision of these measurements. In this paper, we propose to make a coupling between the 4D cardiac cuts with their study of blood flow through the technique of registration and reconstruction. The interest of the purpose of the blood flow as the fifth dimension is to improve the accuracy of the cardiac parameters and the extracting of measurements for valvulopathies in the process of assistance to the decision for experts. An example was introduced in this context through the development of cloud services for patient-specific simulations of blood flows through aortic valves as well as an OsiriX software for 5D visualization that combines a 4D sequence and the functional flow dimension. In this framework, we proposed a processing chain to lead towards a 5D solution. Another problem raised is the choice of the appropriate architecture to solve the problem of hybrid parallelization for processing these cardiac images. To test the constraints of time of the 5D concept, we need a GPU graphics processor acquired in MRI, as well as a CPU processor to perform the complexity of calculation and the operations applied to the algorithms of image processing.
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Sakly Houneida, Said Mourad, Tagina Moncef, Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction, Network Modeling Analysis in Health Informatics and Bioinformatics, 9, 1, 2020. Crossref
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Sakly Houneida, Said Mourad, Tagina Moncef, Medical Decision Making for Cardiac MRI with CFD “Detection of Severe Stenosis Using a 5D Model of the Descending Aorta”, BioMedInformatics, 2, 1, 2021. Crossref
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Miled Malek, Messaoud Mohammed Anouar Ben, Bouzid Aicha, Lip reading of words with lip segmentation and deep learning, Multimedia Tools and Applications, 2022. Crossref
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Miled Malek, Messaoud Mohamed Anouar Ben, Lip segmentation with hybrid model, 2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2022. Crossref
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Mahmoudi Ramzi, Slama Sana, Benameur Narjes, Boukhris Khouloud, Hmida Badii, Bedoui Mohamed Hedi, Notes on Fifth Dimension Modelling in Cardiovascular System Using Artificial Intelligence-Based Tools, in Information Systems and Technologies, 468, 2022. Crossref