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Intégration des mouvements respiratoires en imagerie adaptative

Abstract : Magnetic Resonance Imaging (MRI) is an emerging non-invasive imaging modality, which highlights both morphological and functional aspects. However, physiological motion (mainly cardiac and respiratory) and patient motion lead to artifacts which can degrade image quality and impair subsequent diagnosis. To avoid motion induced issues, breath-holding and synchronization are often used in clinical practice. They suffer from imperfections and they are not suitable for some patients. An alternative to these methods are adaptive imaging techniques. These techniques integrate information related to motion into the process of acquisition and/or image reconstruction in order to perform motion compensation. Motion can be detected and estimated using internal (associated with the image acquisition process) or external sensors. Accelerometer-based sensors have been developed taking into account the constraints imposed by the MR environment and the needs for their use clinical conditions. Their MR compatibility has been evaluated in MRI, on phantoms and on healthy volunteers, with specific evaluation methods implemented. Two other sensors based on optical principles have also been tested: the first one only on phantoms, whereas the second one has been tested on phantoms and volunteers. Finally, the obtained motion signals from all developed and tested sensors were integrated in a retrospective motion correction method developed by our team. The main objective is not only to reduce motion artifacts and improve the quality of acquired MR images but also to prove the feasibility and effectiveness of using the accelerometer-based sensors for respiratory motion estimation
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https://hal.univ-lorraine.fr/tel-01746199
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  • HAL Id : tel-01746199, version 1

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Laure Godignon-Rousselet. Intégration des mouvements respiratoires en imagerie adaptative. Médecine humaine et pathologie. Université Henri Poincaré - Nancy 1, 2011. Français. ⟨NNT : 2011NAN10048⟩. ⟨tel-01746199⟩

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