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Techniques adaptatives pour l'imagerie par résonance magnétique des organes en mouvement

Abstract : Magnetic resonance imaging (MRI) is a valuable tool for the clinical diagnosis for brain imaging as well as cardiac and abdominal imaging. In cardiac MRI, there are two challenging issues: the non reproducibility of cardiac cycles and respiratory motion. Morphological cardiac MRI is generally performed with a pulse sequence composed of a long preparation, to cancel the blood signal and thus enhance the contrast of the myocardium, and the acquisition itself. These acquisitions are performed during the mid-diastolic rest (relaxation period of the heart) to satisfy constraints to cancel the blood signal and to avoid problems linked to the cardiac non reproducibility because the mid-diastolic rest is long. Consequently, to acquire images in end-systolic rest (when the heart is fully contracted) while taking into account constraints to cancel the blood signal is not straight forward due to cardiac non reproducibility because the end-systolic rest is short. To overcome these limitations and to acquire images in end-systolic rest, a new adaptive method is introduced that allows to optimally placing acquisition windows while taking constraint for the cancellation of the blood signal into account. This method was applied to measure and compare transverse relaxation time (T2) between end-systolic and mid-diastolic rests. For prospective respiratory motion correction, the crucial point is to estimate motion in real-time without perturbing MR signal used for imaging. In order to solve this issue, a new method is introduced aiming at estimating motion parameters in real-time based on physiological signals such as respiratory bellows and ECG. This method is evaluated and results show its interest and its reliability regarding motion estimation errors. A reconstructions algorithm is also used in order to perform cardiac imaging during the end-systolic rest in free breathing and to use different kind of respiratory motion sensors such as MR signals. Hence, during this research work, several adaptive method were developed to get a better management of motion and to take into account specificity of each patient. These works open the way of fully functional adaptive magnetic resonance imaging in a clinical situation
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https://hal.univ-lorraine.fr/tel-01746363
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  • HAL Id : tel-01746363, version 1

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Brice Fernandez. Techniques adaptatives pour l'imagerie par résonance magnétique des organes en mouvement. Médecine humaine et pathologie. Université Henri Poincaré - Nancy 1, 2010. Français. ⟨NNT : 2010NAN10100⟩. ⟨tel-01746363⟩

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