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Application des techniques adaptatives à l'imagerie par résonance magnétique de perfusion

Abstract : Magnetic Resonance Imaging (MRI) requires tools for managing physiological and other motion of the patient. The generation of MR images consists of three steps: data acquisition with a pulse sequence, image reconstruction and image post-processing. Adaptive image reconstruction techniques aim at integrating motion information into the process of image generation from the acquired data, in order to compensate for motion-induced artefacts and problems. Dynamic contrast-enhanced (DCE) MRI is a technique designed for assessing the function of organs, by following dynamically the passage of a contrast agent in the body after a bolus injection. Motion-induced problems, especially in abdominal and thoracic DCE-MRI, consist of motion artefacts and misregistration. A new image reconstruction method, DCE-GRICS (Dynamic Contrast-Enhanced Generalized Reconstruction by Inversion of Coupled Systems), has been developed for solving these issues. Motion is estimated with a non rigid linear model based on physiological signals obtained from external sensors. Dynamic intensity changes caused by the passage of the contrast agent are described using a linear contrast change model based on B-splines. The method is applied and validated on myocardial perfusion imaging. Motion-induced inaccuracies in intensity-time curves are compensated, in order to allow for more reliable myocardial perfusion quantification by curve post-processing.
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Submitted on : Thursday, March 29, 2018 - 10:26:27 AM
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  • HAL Id : tel-01746185, version 1


Marina Filipovic. Application des techniques adaptatives à l'imagerie par résonance magnétique de perfusion. Médecine humaine et pathologie. Université Henri Poincaré - Nancy 1, 2011. Français. ⟨NNT : 2011NAN10030⟩. ⟨tel-01746185⟩



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