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Master thesis

Système temps réel de suivi de mouvement respiratoire en IRM

Abstract : The main field of the laboratory IADI in which the training was carried out, is imaging of moving organs. One of the most difficult movements to control, during image acquisition, is the respiratory motion because it requires breath hold method which are not always feasible. The purpose of this study was to apply an object tracking method for respiratory motion detection in MRI environment. The used method is based on system composed of camera connected to a reconfigurable FPGA plateform whose main purpose is extracted of respiratory motion from acquired video frames. The main objectives of this study were to choose a motion tracking algorithme adapted for respiratory motion detection in MR environment validate it in a behavioral evironment such as Matlab and to finaly implement it on a real-time reconfigurable FPGA plateform.
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Master thesis
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Submitted on : Wednesday, November 25, 2020 - 3:50:15 PM
Last modification on : Saturday, April 30, 2022 - 4:03:20 PM
Long-term archiving on: : Friday, February 26, 2021 - 7:29:06 PM


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  • HAL Id : hal-01783560, version 1


Maroua Garci. Système temps réel de suivi de mouvement respiratoire en IRM. Sciences de l'ingénieur [physics]. 2012. ⟨hal-01783560⟩



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