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Capteurs de mouvements dédies à l’imagerie adaptative en IRM : développement technique et méthodologique

Abstract : Magnetic Resonance Imaging (MRI) is nowadays a powerful tool for diagnosis thanks to the ability to produce morphological and functional images. Despites of higher temporal resolution obtained with fast imaging techniques and parallel imaging, physiological movements, like the cardio-respiratory motion, are still a source of artefacts and degrade the quality of the image. Breathhold and gating/triggering are usually used to reduce the impact of this problem. For adaptive imaging, we want to take into account organs and physiological movement of the patient for the image acquisition and reconstruction process. For this reason, MRI compatible motion sensors are necessary. We have tested several types of motion sensors and developed validation methods to integrate this external information in the reconstruction algorithms. Every of the conceived sensor had to be non-invasive and compatible to the MRI environment (the magnetic field, gradients of magnetic field, and waves of radio frequencies). The conception of the sensors required the implementation of acquisition tools and validation tests and methods. Different types of sensors were investigated and tested. The final validation is made by the integration of the sensors in adaptive imaging process increasing image quality and consequently improving the diagnosis.
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https://hal.univ-lorraine.fr/tel-01746323
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  • HAL Id : tel-01746323, version 1

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Cédric Pasquier. Capteurs de mouvements dédies à l’imagerie adaptative en IRM : développement technique et méthodologique. Médecine humaine et pathologie. Université Henri Poincaré - Nancy 1, 2007. Français. ⟨NNT : 2007NAN10164⟩. ⟨tel-01746323⟩

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