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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Very low field magnetic resonance imaging

Herreros, Quentin 21 November 2013 (has links) (PDF)
The aim of this thesis is to perform Magnetic Resonance Imaging at very low field (from 1 mT to 10 mT). A new kind of sensor called "mixed sensor" has been used to achieve a good detectivity at low frequencies. Combining a superconducting loop and a giant magnetoresistance, those detectors have a competitive equivalent field noise compared to existing devices (Tuned coils, SQUIDs and Atomic Magnetometers). They have been combined with flux transformers to increase the coupling between the sample and the sensor. A complete study has been performed to adapt it to mixed sensors and then maximize the gain. This set has been incorporated in an existing small MRI device to test its robustness in real conditions. In parallel, several MRI sequences (GE, SE, FLASH, EPI, ...) have been integrated and adapted to very low field requirements. They have been used to perform in-vivo three dimensional imaging and relaxometry studies on well known products to test their reliability. Finally, a larger setup adapted for full-head imaging has been designed and built to perform images on a larger working volume.
2

Very low field magnetic resonance imaging / IRM à très bas champ magnétique

Herreros, Quentin 21 November 2013 (has links)
L’enjeu principal de cette thèse a été de démontrer la faisabilité de l’Imagerie par Résonance Magnétique à très bas champ (entre 1 mT et 10 mT). Pour ce faire, un nouveau type de capteur, appelé “capteur mixte”, a été utilisé. Ce détecteur est le résultat de l’association d’une magnétorésistance géante avec une boucle supraconductrice. Il génère un bruit en champ comparable aux détecteurs les plus utilisés dans cette gamme de fréquence (Bobine accordées, SQUIDs, Magnétomètres atomique optique). Le couplage entre l’échantillon observé et le capteur mixte a été grandement amélioré à travers l’utilisation d’un transformateur de flux. Cet intermédiaire a été conçu et optimisé pour maximiser la sensibilité en champ du “capteur mixte”. Cet ensemble a ensuite été introduit dans un IRM à très bas champ magnétique pour tester son efficacité in-situ. Parallèlement, différentes séquences d’IRM (GE, SE, FLASH, EPI,...) ont été développées spécifiquement pour le très bas champ. Elles ont été utilisées pour réaliser de l’imagerie tridimensionnelle in-vivo ainsi que des études relaxométriques sur divers produits. Enfin, un système d’IRM “tête entière” a été construit pour permettre l’acquisition d’images à très bas champ magnétique sur un large volume. / The aim of this thesis is to perform Magnetic Resonance Imaging at very low field (from 1 mT to 10 mT). A new kind of sensor called “mixed sensor” has been used to achieve a good detectivity at low frequencies. Combining a superconducting loop and a giant magnetoresistance, those detectors have a competitive equivalent field noise compared to existing devices (Tuned coils, SQUIDs and Atomic Magnetometers). They have been combined with flux transformers to increase the coupling between the sample and the sensor. A complete study has been performed to adapt it to mixed sensors and then maximize the gain. This set has been incorporated in an existing small MRI device to test its robustness in real conditions. In parallel, several MRI sequences (GE, SE, FLASH, EPI, ...) have been integrated and adapted to very low field requirements. They have been used to perform in-vivo three dimensional imaging and relaxometry studies on well known products to test their reliability. Finally, a larger setup adapted for full-head imaging has been designed and built to perform images on a larger working volume.

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