Abstract
In this paper, we address the aforementioned limitations of conventional scanners in cardiac imaging and propose a solution to optimize their functionality. Specifically, we explore the integration of Backstep** control as a means to overcome these challenges. By incorporating Backstep** control algorithms into the imaging process of a conventional scanner, we aim to enhance image quality and accuracy in capturing cardiac images. Backstep** control is a control theory approach known for its ability to compensate for the motion of dynamic systems. By precisely tracking the movement of the heart during image acquisition, we can mitigate motion artifacts and improve the clarity of cardiac images. Through experimental investigations and simulations, we evaluate the effectiveness of the Backstep** control integration in a conventional scanner for cardiac imaging. We compare the results with traditional imaging techniques and specialized cardiac scanners, such as Cardiac CT or Coronary CT, to demonstrate the potential of our approach.
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Ziani, S., Said, E., Elammari, A. (2024). Improving the Capabilities of Medical Imaging Scanners by Incorporating Backstep** Control. In: Azrour, M., Mabrouki, J., Guezzaz, A. (eds) Sustainable and Green Technologies for Water and Environmental Management. World Sustainability Series. Springer, Cham. https://doi.org/10.1007/978-3-031-52419-6_9
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